{"id":11787,"date":"2019-02-26T12:07:54","date_gmt":"2019-02-26T20:07:54","guid":{"rendered":"https:\/\/ahrefs.com\/blog\/?p=11787"},"modified":"2024-03-18T07:23:31","modified_gmt":"2024-03-18T12:23:31","slug":"anchor-text","status":"publish","type":"post","link":"https:\/\/ahrefs.com\/blog\/anchor-text\/","title":{"rendered":"Anchor Text: A Data\u2010Driven Guide (384,614 Web Pages Studied)"},"content":{"rendered":"<div class=\"intro-txt\"> Everyone knows that links are a crucial ranking factor. But what about link anchor text?&nbsp;<\/div>\n<p>Here\u2019s <a href=\"https:\/\/web.archive.org\/web\/20230126013125\/https:\/\/twitter.com\/johnmu\/status\/933658806403391488\" target=\"_blank\" rel=\"noopener noreferrer\">what Google\u2019s John Mueller <\/a>says:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-172946\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2020\/06\/Screenshot-2024-03-18-at-12.18.30.png\" alt=\"John Mueller says anchor text gives additional context\" width=\"1108\" height=\"664\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2020\/06\/Screenshot-2024-03-18-at-12.18.30.png 1108w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2020\/06\/Screenshot-2024-03-18-at-12.18.30-680x408.png 680w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2020\/06\/Screenshot-2024-03-18-at-12.18.30-768x460.png 768w\" sizes=\"auto, (max-width: 1108px) 100vw, 1108px\"><\/p>\n<p>He seems to be implying that Google uses anchor text to help understand the context of the link and thus, it may be a \u201cranking factor.\u201d That\u2019s not a big surprise\u2014Google\u2019s original patent states that they use anchor text to influence rankings. (More on that&nbsp;later!)<\/p>\n<p>Here\u2019s <a href=\"https:\/\/web.archive.org\/web\/20191118181226\/https:\/\/twitter.com\/JohnMu\/status\/864190235822899200\" target=\"_blank\" rel=\"noopener noreferrer\">another tweet<\/a>&nbsp;from John where he reiterates the importance of anchor text:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-172949\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/Screenshot-2024-03-18-at-12.21.49.png\" alt=\"Another tweet from John Mueller about the importance of anchor text\" width=\"1188\" height=\"490\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/Screenshot-2024-03-18-at-12.21.49.png 1188w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/Screenshot-2024-03-18-at-12.21.49-680x280.png 680w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/Screenshot-2024-03-18-at-12.21.49-768x317.png 768w\" sizes=\"auto, (max-width: 1188px) 100vw, 1188px\"><\/p>\n<p>The question is: what kind of anchor text should you use? Should you limit the use of a specific type of anchor text if you want to rank in search engines? Should you even be manipulating anchor text at&nbsp;all?<\/p>\n<p>In this guide, we\u2019ll reveal what we found by studying the anchor texts of backlinks to <strong>384,614 web pages<\/strong>. But first, let\u2019s make sure we understand the basics.<\/p>\n<div class=\"hub-link\"><img decoding=\"async\" alt=\"Beginner's guide to link building\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2021\/05\/backlinks.png\"><div class=\"hl-title\">New to link building? Check out&nbsp;our<\/div><div class=\"hl-content\"><a href=\"https:\/\/ahrefs.com\/blog\/link-building\/\" target=\"_blank\">Beginner\u2019s guide to link building<\/a><\/div><\/div>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>What is anchor text?<\/h2>\n<\/div><\/div>\n<p>Anchor text refers to the clickable words used to link one web page to another.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"420\" class=\"wp-image-25920\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-text-example.png\" alt=\"anchor text example\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-text-example.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-text-example-768x358.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-text-example-680x317.png 680w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><strong>Example:<\/strong>&nbsp;In this sentence, <a href=\"https:\/\/ahrefs.com\/blog\/anchor-text\/#\">the blue words<\/a>&nbsp;are the anchor text.<\/p>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>Types of anchor text<\/h2>\n<\/div><\/div>\n<p>Say that someone decided to link to <a href=\"https:\/\/ahrefs.com\/backlink-checker\">our backlink checker<\/a>.<\/p>\n<p>Our primary target keyword for that page is \u201cbacklink checker,\u201d for which there are 80K global monthly searches according to <a href=\"https:\/\/ahrefs.com\/keywords-explorer\">Ahrefs\u2019 Keywords Explorer<\/a>.<\/p>\n<div id=\"attachment_25925\" style=\"width: 910px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-25925\" class=\"size-full wp-image-25925\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/backlink-checker-global-volume.jpg\" alt width=\"900\" height=\"333\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/backlink-checker-global-volume.jpg 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/backlink-checker-global-volume-768x284.jpg 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/backlink-checker-global-volume-680x252.jpg 680w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><p id=\"caption-attachment-25925\" class=\"wp-caption-text\">Via <a href=\"https:\/\/ahrefs.com\/keywords-explorer\">Ahrefs\u2019 Keywords Explorer<\/a><\/p><\/div>\n<p>But not every person will link to this page in the same way. Here are some of the anchor text variations they might&nbsp;use:<\/p>\n<p><strong>Exact Match<\/strong>: the anchor text is the exact keyword or phrase for which we want to&nbsp;rank.<\/p>\n<blockquote><p>Ahrefs\u2019 <a href=\"#\">Backlink Checker<\/a>&nbsp;is one of my favorite SEO&nbsp;tools.<\/p><\/blockquote>\n<p><strong>Phrase Match<\/strong>: the anchor text contains the keyword phrase for which we want to&nbsp;rank.<\/p>\n<blockquote><p><a href=\"https:\/\/ahrefs.com\/backlink-checker\">Ahrefs\u2019 Backlink Checker<\/a>&nbsp;is one of my favorite SEO&nbsp;tools.<\/p><\/blockquote>\n<p><strong>Partial Match<\/strong>: the anchor text has all words in the query, but not as an exact phrase.<\/p>\n<blockquote><p><a href=\"#\">Ahrefs\u2019 Checker de la Backlink<\/a>&nbsp;is one of my favorite SEO&nbsp;tools.<\/p><\/blockquote>\n<p><strong>Branded:<\/strong>&nbsp;the anchor text is the name of our&nbsp;brand:<\/p>\n<blockquote><p><a href=\"#\">Ahrefs<\/a>\u2019&nbsp;Backlink Checker&nbsp;is one of my favorite SEO&nbsp;tools.<\/p><\/blockquote>\n<p><strong>Naked URL<\/strong>:&nbsp;the anchor text is the raw, \u2018naked\u2019 URL (i.e., as it would appear in a browser):<\/p>\n<blockquote><p>Ahrefs\u2019 Backlink Checker (<a href=\"#\">https:\/\/ahrefs.com\/backlink-checker\/<\/a>)&nbsp;is one of my favorite SEO&nbsp;tools.<\/p><\/blockquote>\n<p><strong>Random<\/strong>: the anchor text is an unspecific, generic phrase which does not include our target keyword (e.g., \u201cclick here,\u201d \u201cthis site,\u201d \u201cthis article,\u201d etc.)<\/p>\n<blockquote><p>Ahrefs\u2019 Backlink Checker is one of my favorite SEO tools. <a href=\"#\">Click here<\/a>&nbsp;to try it for yourself!<\/p><\/blockquote>\n<p><strong>Image links:<\/strong>&nbsp;the anchor text is the <a href=\"https:\/\/ahrefs.com\/blog\/alt-text\/\">alt text of the image<\/a>&nbsp;(<a href=\"https:\/\/support.google.com\/webmasters\/answer\/114016?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">according to Google<\/a>).<\/p>\n<blockquote><p><code>&lt;a href=\u201dhttps:\/\/ahrefs.com\/backlink-checker\u201d&gt;<br>\n&lt;img src=\u201d\/backlink-checker.png\u201d alt=\u201dBacklink Checker\u201d\/&gt;<br>\n&lt;\/a&gt;<\/code><\/p><\/blockquote>\n<p>For example, if we check the&nbsp;<strong>Anchors<\/strong>&nbsp;report in <a href=\"https:\/\/ahrefs.com\/site-explorer\">Ahrefs\u2019 Site Explorer<\/a>&nbsp;for our <a href=\"https:\/\/ahrefs.com\/backlink-checker\">backlink checker<\/a>,&nbsp;we can see many of the anchor text types mentioned above.<\/p>\n<p><em>Site Explorer &gt; Enter URL &gt; Anchors<\/em><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"896\" height=\"555\" class=\"wp-image-25934\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchors-backlink-checker.png\" alt=\"anchors backlink checker\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchors-backlink-checker.png 896w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchors-backlink-checker-768x476.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchors-backlink-checker-680x421.png 680w\" sizes=\"auto, (max-width: 896px) 100vw, 896px\"><\/p>\n<p>Now let\u2019s take a look at how that medley of anchor texts may influence our rankings.<\/p>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>How anchor text influences search engine rankings<\/h2>\n<\/div><\/div>\n<p>Google uses external anchor text to help understand what your page is about and also, for which keywords it should rank. How do we know&nbsp;this?<\/p>\n<p>Here\u2019s an excerpt from <a href=\"http:\/\/infolab.stanford.edu\/~backrub\/google.html#pr\" target=\"_blank\" rel=\"noopener noreferrer\">the original paper<\/a>&nbsp;on which the <a href=\"https:\/\/ahrefs.com\/google-algorithm-updates\">Google algorithm<\/a> is&nbsp;based:<\/p>\n<blockquote><p>Google employs a number of techniques to improve search quality including page rank, <strong>anchor text<\/strong>, and proximity information.<\/p><\/blockquote>\n<p>So if&nbsp;I linked to a page from this article with \u201cdog biscuits\u201d as the anchor text, that would indicate to Google that the linked page likely has something to do with dog biscuits.<\/p>\n<p>If other people do the same thing, then that will increase Google\u2019s confidence that the page in question should potentially rank for \u201cdog biscuits.\u201d After all, what are the chances of two or more unrelated websites linking to the same web page with the same anchor text if the page doesn\u2019t have anything to do with dog biscuits? Pretty slim, I\u2019d&nbsp;say.<\/p>\n<p>Hopefully, you\u2019re starting to see why anchor text makes sense as <a href=\"https:\/\/ahrefs.com\/blog\/google-ranking-factors\/\">a ranking factor<\/a>.<\/p>\n<p>But of course, nothing in SEO is ever that&nbsp;simple.<\/p>\n<h3>Early Google\u2019s (over) reliance on anchor text<\/h3>\n<p>Anchor text was weighted heavily in Google\u2019s original algorithm.<\/p>\n<p>In their 1998 paper, Google founders Sergey Brin and Larry Page explained:<\/p>\n<blockquote><p>The text of links is treated in a special way in our search engine. Most search engines associate the text of a link with the page that the link is on. In addition, we associate it with the page the link points to. This has several advantages. First, anchors often provide more accurate descriptions of web pages than the pages themselves.<\/p><\/blockquote>\n<p>Using anchor text also allowed Google to determine the topic of media formats where typical on-page signals couldn\u2019t be&nbsp;used.<\/p>\n<blockquote><p>Second, anchors may exist for documents which cannot be indexed by a text\u2010based search engine, such as images, programs, and databases. This makes it possible to return web pages which have not actually been crawled.<\/p><\/blockquote>\n<p>The logic was sound, and the results were impressive, especially compared to the competition at the time\u2014a fact that didn\u2019t go unnoticed by the founders themselves.<\/p>\n<blockquote><p>While a complete user evaluation is beyond the scope of this paper, our own experience with Google has shown it to produce better results than the major commercial search engines for most searches.<\/p><\/blockquote>\n<p>But Google soon found that anchor text was VERY open to manipulation.<\/p>\n<p>To rank a web page for a query, people only have to point multiple links at it with their target keyword as the anchor.<\/p>\n<p><strong>More keyword-rich anchor text links than your competitor =&nbsp;WIN.<\/strong><\/p>\n<p>This led to <a href=\"https:\/\/www.screamingfrog.co.uk\/google-bombs\/\" target=\"_blank\" rel=\"noopener noreferrer\">some amusing examples of \u201cGoogle Bombing\u201d<\/a>\u2014where SEOs would show how easy it was to game Google by pointing anchor text links at non-relevant pages and ranking them.<\/p>\n<div id=\"attachment_25929\" style=\"width: 460px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-25929\" class=\"size-full wp-image-25929\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/google-bomb-george-bush.jpg\" alt width=\"450\" height=\"290\"><p id=\"caption-attachment-25929\" class=\"wp-caption-text\">George Bush ranking #1 for the term \u201cmiserable failure\u201d thanks to a successful \u201cGoogle bomb.\u201d<\/p><\/div>\n<p>Clearly, things had to change.<\/p>\n<h3>Google fights back against manipulative anchor text<\/h3>\n<p>In April 2012, Google rolled out <a href=\"http:\/\/searchengineland.com\/google-launches-update-targeting-webspam-in-search-results-119295\" target=\"_blank\" rel=\"noopener noreferrer\">the first iteration of their now infamous Penguin algorithm<\/a>.<\/p>\n<p>Anchor text was one of Penguin\u2019s primary targets.<\/p>\n<p>Some websites that had been overly-aggressive with their exact-match anchor text links saw their rankings tank&nbsp;overnight. However, <a href=\"https:\/\/search.googleblog.com\/2012\/04\/another-step-to-reward-high-quality.html\" target=\"_blank\" rel=\"noopener noreferrer\">according to Google<\/a>, it only affected 3.1% of search queries.<\/p>\n<p>But things didn\u2019t stop&nbsp;there\u2026<\/p>\n<p>Google continued to battle manipulative anchor text spam with <a href=\"https:\/\/ahrefs.com\/blog\/anchor-text\/\" data-ahr=\"https:\/\/ahrefs.com\/blog\/anchor-text-after-penguin-4\/\">subsequent Penguin updates<\/a>.<\/p>\n<p>Most SEOs now seem to recommend using exact-match anchor text sparingly\u2014usually between ~1% and&nbsp;5%.<\/p>\n<div id=\"attachment_25927\" style=\"width: 541px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-25927\" class=\"size-full wp-image-25927\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-text-recommendation.png\" alt width=\"531\" height=\"88\"><p id=\"caption-attachment-25927\" class=\"wp-caption-text\">Example of recommended exact-match anchor text % from another SEO&nbsp;blog.<\/p><\/div>\n<p>So what\u2019s the truth? Should you keep exact-match anchors to a minimum? Should you avoid exact-match anchors altogether? What about phrase-match and other types of anchors\u2014how should you be using&nbsp;those?<\/p>\n<p>To find out, we conducted two studies.<\/p>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>Study 1: Anchor text influence across 19,840 keywords<\/h2>\n<\/div><\/div>\n<p>To study correlations between anchor text types and rankings, we looked at the top 20 search results across 19,840 keywords.<\/p>\n<p>That means we analyzed <strong>384,614<\/strong>&nbsp;web pages in&nbsp;total!<\/p>\n<div class=\"sidenote\"><div class=\"sidenote-title\">Sidenote.<\/div> Some of you may have noticed that 19,840 * 20 != 384,614, but rather 396,800. That\u2019s because a few URLs rank for more than one of the keywords we studied.&nbsp;<\/div>\n<p>All of these keywords:<\/p>\n<ul>\n<li>Have 2K-5K monthly searches (randomly selected!);<\/li>\n<li>Consist of 2-4 English words;<\/li>\n<li>Contain no special characters (e.g., !#@);<\/li>\n<li>Are non-numeric (i.e., keywords like phone numbers are filtered out)<\/li>\n<\/ul>\n<p>Furthermore, we only selected keywords where the top 10 search results have similar <a href=\"https:\/\/help.ahrefs.com\/ahrefs-terminology\/site-explorer\/what-is-ahrefs-url-rating-and-how-is-it-calculated\">URL Rating<\/a>&nbsp;(UR) values. The aim of that was to \u201cisolate\u201d the anchor text variable.<\/p>\n<p>Let me explain with a crude example.<\/p>\n<p>Let\u2019s say that the top 10 search results for \u201cbest protein powder\u201d look like&nbsp;this:<\/p>\n<ol>\n<li>Exact anchor match %: 100%. UR score:<strong>&nbsp;60<\/strong><\/li>\n<li>Exact anchor match %: 90%. UR score:<strong>&nbsp;55<\/strong><\/li>\n<li>Exact anchor match %: 80%. UR score: <strong>50<\/strong><\/li>\n<li>Exact anchor match %: 70%. UR score: <strong>45<\/strong><\/li>\n<li>Exact anchor match %: 60%. UR score: <strong>40<\/strong><\/li>\n<li>Exact anchor match %: 50%. UR score: <strong>35<\/strong><\/li>\n<li>Exact anchor match %: 40%. UR score: <strong>30<\/strong><\/li>\n<li>Exact anchor match %: 30%. UR score: <strong>25<\/strong><\/li>\n<li>Exact anchor match %: 20%. UR score: <strong>20<\/strong><\/li>\n<li>Exact anchor match %: 10%. UR score: <strong>15<\/strong><\/li>\n<\/ol>\n<p>You can see that the percentage of exact-match anchor text correlates with rankings. From this, we could infer that the exact-match rate affects rankings.<\/p>\n<p>However, this is misleading because there\u2019s also a correlation of&nbsp;UR.<\/p>\n<p>So it\u2019s likely that the number and quality of backlinks (or internal links) is also part of the reason for this correlation.<\/p>\n<p>On the other hand, if the results look like&nbsp;this\u2026<\/p>\n<ol>\n<li>Exact anchor match %: 100%. UR score:<strong>&nbsp;30<\/strong><\/li>\n<li>Exact anchor match %: 90%. UR score: <strong>25<\/strong><\/li>\n<li>Exact anchor match %: 80%. UR score: <strong>32<\/strong><\/li>\n<li>Exact anchor match %: 70%. UR score: <strong>33<\/strong><\/li>\n<li>Exact anchor match %: 60%. UR score: <strong>28<\/strong><\/li>\n<li>Exact anchor match %: 50%. UR score: <strong>31<\/strong><\/li>\n<li>Exact anchor match %: 40%. UR score: <strong>31<\/strong><\/li>\n<li>Exact anchor match %: 30%. UR score: <strong>27<\/strong><\/li>\n<li>Exact anchor match %: 20%. UR score: <strong>36<\/strong><\/li>\n<li>Exact anchor match %: 10%. UR score: <strong>29<\/strong><\/li>\n<\/ol>\n<p>\u2026 then the likeliness of any potential correlation being caused by backlinks (or internal links) is much&nbsp;lower.<\/p>\n<p>Make sense?<\/p>\n<p>Good. Let\u2019s take a look at the results.<\/p>\n<h3>Influence of exact-match anchors<\/h3>\n<p>First, we looked at the average and median percentage of exact-match anchored backlinks per ranking position\u2014calculated against the total number of backlinks to the&nbsp;URL.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"887\" class=\"wp-image-25917\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1a.png\" alt=\"anchor text image 1a\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1a.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1a-768x757.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1a-431x425.png 431w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>So it appears that there\u2019s a pretty clear correlation here, right? <em>Not so&nbsp;fast.<\/em><\/p>\n<p>The blue line that appears to show the correlation is the <strong>average<\/strong>. That is a \u2018biased\u2019 representation of the points that belong to each position because extreme values can easily skew the average.<\/p>\n<p>Did I lose&nbsp;you?<\/p>\n<p>Imagine that we have the following sample of pages for position #1:<\/p>\n<ul>\n<li><strong>Page 1:<\/strong>&nbsp;0% exact-match anchors;<\/li>\n<li><strong>Page 2:<\/strong>&nbsp;0% exact-match anchors;<\/li>\n<li><strong>Page 3:<\/strong>&nbsp;0% exact-match anchors;<\/li>\n<li><strong>Page 4:<\/strong>&nbsp;0% exact-match anchors;<\/li>\n<li><strong>Page 5:<\/strong>&nbsp;100% exact-match anchors;<\/li>\n<\/ul>\n<p><strong>Average exact-match anchors for this sample =&nbsp;20%.<\/strong><\/p>\n<p>You can see that this isn\u2019t very representative of the entire sample\u2014one value is skewing the average quite dramatically. That\u2019s why we also added the median values to the graph (orange line). You can see that the median for each ranking position is&nbsp;zero.<\/p>\n<p>Here\u2019s what <a href=\"https:\/\/ahrefs.com\/team\">Loveme Felicilda<\/a>\u2014our data scientist\u2014had to say about&nbsp;this:<\/p>\n<blockquote class=\"small\"><div class=\"quote-content\"> I would say the average is <strong>not<\/strong><em>&nbsp;a good way to represent correlation. That\u2019s why I also show the median. The fact that the median across all positions is zero means there are lots of pages with no exact-match backlinks. If our median values were to show the same \u201cpattern\u201d as our average, then we would have a strong correlation. So if we want to present correlations, then we should plot all the points on the graph and add a line of best&nbsp;fit.&nbsp;<\/em><\/div><div class=\"quote-info clearfix\"><div class=\"quote-photo\"><img decoding=\"async\" alt=\"Loveme Felicilda\" src=\"https:\/\/cdn.ahrefs.com\/images\/team\/loveme-f.jpg\"><\/div><div class=\"extra-box\"><span class=\"quote-author\">Loveme Felicilda,<\/span> <span class=\"quote-author-job\">Data Scientist <a href=\"https:\/\/ahrefs.com\" target=\"_blank\">Ahrefs<\/a><\/span><\/div><\/div><\/blockquote>\n<p>That\u2019s precisely what we&nbsp;did:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"842\" class=\"wp-image-25914\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1b.png\" alt=\"anchor text image 1b\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1b-768x719.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1b-454x425.png 454w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>Now you can see that the real correlation is quite&nbsp;weak.<\/p>\n<p>To add to that point, below is a histogram of correlations. The x-axis shows bucketed correlation values, and the y-axis shows the number of SERPs\/keywords that belong to each bucket.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"807\" class=\"wp-image-25924\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1c.png\" alt=\"anchor text image 1c\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1c.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1c-768x689.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_1c-474x425.png 474w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>Generally speaking, the more bell-shaped and symmetrical the graph, the closer the correlation to the middle value (in this case, that\u2019s zero). If it leans to the right, it\u2019s more positively correlated. If it leans to the left, then it\u2019s negatively correlated.<\/p>\n<p>You can see that in this case, it leans slightly to the right\u2014that indicates a weak positive correlation.<\/p>\n<p>How weak? Here are the results of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Spearman%27s_rank_correlation_coefficient\" target=\"_blank\" rel=\"noopener noreferrer\">Spearman correlation<\/a>:<\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;0.1436<br>\n<strong>Spearman correlation (median):<\/strong>&nbsp;0.1869<\/p>\n<p><strong>Result: <\/strong>there\u2019s a relatively weak correlation between the percentage of exact-match anchored links and rankings. Both the mean and the median indicate this.<\/p>\n<div class=\"sidenote\"><div class=\"sidenote-title\">Sidenote.<\/div> We included the median Spearman correlation as certain niches (e.g., payday loans) were very anchor text heavy and may have distorted the&nbsp;mean.&nbsp;<\/div>\n<p>But why is&nbsp;this?<\/p>\n<p>If Google uses anchor text as a ranking factor\u2014or at least to understand the context of a page, as John Mueller stated\u2014then shouldn\u2019t there be a bigger correlation?<\/p>\n<p>Not necessarily. John never said how much weight they give anchor text in their algorithm.<\/p>\n<p>Furthermore, there\u2019s a potential, somewhat<strong>&nbsp;unavoidable flaw in our data<\/strong>&nbsp;that I want to be transparent about. I\u2019ll go into that shortly.<\/p>\n<p>First, let\u2019s take a look at the numbers for other anchor text&nbsp;types\u2026<\/p>\n<h3>Influence of phrase-match anchors<\/h3>\n<p>To recap, phrase-match anchors are those which contain the target query.<\/p>\n<p>For example, if the keyword were \u201cSEO tool\u201d then \u201cbest SEO tool\u201d or \u201cmy favorite SEO tool\u201d would both be phrase-match anchors. Let\u2019s see how these stack&nbsp;up.<\/p>\n<p><img decoding=\"async\" class=\"wp-image-25910\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/phrase-match-anchors.png\" alt=\"anchor text image 2a\"><\/p>\n<p>Two things stand out&nbsp;here:<\/p>\n<ol>\n<li>The \u201ccorrelation\u201d of the average is similar to exact-match.<\/li>\n<li>The average percentage of phrase-match anchors is slightly higher than it is for exact-match.<\/li>\n<\/ol>\n<p>But again, in order to see the \u201creal\u201d correlation, we need to look at some different graphs:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"842\" class=\"wp-image-25919\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2b.png\" alt=\"anchor text image 2b\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2b-768x719.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2b-454x425.png 454w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"873\" class=\"wp-image-25932\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2c.png\" alt=\"anchor text image 2c\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2c.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2c-768x745.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_2c-438x425.png 438w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>So this time, the correlation is even lower than exact-match anchors.<\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;0.1057<br>\n<strong>Spearman correlation (median):<\/strong>&nbsp;0.1393<\/p>\n<p><strong>Result:<\/strong> There\u2019s a very weak correlation between the percentage of phrase-match anchors and rankings.<\/p>\n<h3>Influence of partial-match anchors<\/h3>\n<p>Partial-match anchors are those that contain all the words in the query but not as an exact phrase.<\/p>\n<p>For example, if the keyword were \u201cSEO tool\u201d then \u201cbest tool for SEO\u201d or \u201cmy favorite SEO trick is to use this tool by Ahrefs\u201d would both be phrase-match anchors.<\/p>\n<p>Let\u2019s see how these stack&nbsp;up.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"913\" class=\"wp-image-25921\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3a.png\" alt=\"anchor text image 3a\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3a.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3a-768x779.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3a-419x425.png 419w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>It looks like there\u2019s a similar correlation once again when it comes to the average, and the median is still flatlining at&nbsp;zero.<\/p>\n<p>Further, the average percentage of partial-match keywords is quite high compared to both exact and phrase-match percentages.<\/p>\n<p>This makes sense because partial-match incorporates both exact and phrase-match keywords.<\/p>\n<p>Here are the two graphs that show a better representation of the correlation:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25923\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3b.png\" alt width=\"900\" height=\"842\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3b-768x719.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3b-454x425.png 454w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25912\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3c.png\" alt width=\"900\" height=\"817\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3c.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3c-768x697.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_3c-468x425.png 468w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>The correlation here is almost identical to the phrase-match correlation:<\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;0.1076<br>\n<strong>Spearman correlation (median):<\/strong>&nbsp;0.1393<\/p>\n<p><strong>Result:<\/strong> a very weak correlation.<\/p>\n<h3>Influence of random anchors<\/h3>\n<p>Random anchors are those which contain unspecific or generic phrases. They do not contain the target keyword (or any elements of&nbsp;it).<\/p>\n<p>If the keyword was \u201cSEO tool\u201d then \u201cclick here\u201d or \u201cthis article\u201d would both be random anchors.<\/p>\n<p>Let\u2019s see how these stack&nbsp;up.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"935\" class=\"wp-image-25933\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4a.png\" alt=\"anchor text image 4a\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4a.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4a-768x798.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4a-409x425.png 409w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>The first thing you\u2019ll notice is that the average percentage of random anchors is super high compared to the other types of anchor text we studied. This makes sense because random anchors incorporate pretty much all other anchors besides a few very specific ones.<\/p>\n<p>You\u2019ll also notice that the average seems to indicate some correlation (albeit weak) between rankings and the percentage of random anchors.<\/p>\n<p>I think this is the best example of why looking at averages is a bad&nbsp;idea.<\/p>\n<p>Let\u2019s take a look at some more reliable graphs to judge the true correlation.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"842\" class=\"wp-image-25908\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4b.png\" alt=\"anchor text image 4b\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4b-768x719.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4b-454x425.png 454w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"873\" class=\"wp-image-25931\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4c.png\" alt=\"anchor text image 4c\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4c.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4c-768x745.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_4c-438x425.png 438w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>You can see that the histogram seems to be leaning neither left nor right for this one. That means that the correlation tends towards the middle value\u2014which is <strong>zero<\/strong>.<\/p>\n<p>Here are the Spearman correlations:<\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;0.0161<br>\n<strong>Spearman correlation (median):<\/strong>&nbsp;0.0130<\/p>\n<p><strong>Result:<\/strong> there is effectively no correlation.<\/p>\n<p>That one\u2019s hardly surprising.<\/p>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>Study 2: Surrounding link text influence across 16,000 pages<\/h2>\n<\/div><\/div>\n<p>If you\u2019re familiar with the <strong>Backlinks<\/strong>&nbsp;report in <a href=\"https:\/\/ahrefs.com\/site-explorer\">Ahrefs Site Explorer<\/a>, then you\u2019ll know that we show both the anchor text of a link and the surrounding link&nbsp;text.<\/p>\n<div id=\"attachment_25918\" style=\"width: 857px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-25918\" class=\"size-full wp-image-25918\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-surrounding-text.png\" alt width=\"847\" height=\"192\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-surrounding-text.png 847w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-surrounding-text-768x174.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor-surrounding-text-680x154.png 680w\" sizes=\"auto, (max-width: 847px) 100vw, 847px\"><p id=\"caption-attachment-25918\" class=\"wp-caption-text\">Via <a href=\"https:\/\/ahrefs.com\/site-explorer\">Ahrefs\u2019 Site Explorer<\/a><\/p><\/div>\n<p>Why is that relevant?<\/p>\n<p>In 2004, Google filed <a href=\"http:\/\/patft.uspto.gov\/netacgi\/nph-Parser?Sect1=PTO2&amp;Sect2=HITOFF&amp;p=1&amp;u=%2Fnetahtml%2FPTO%2Fsearch-adv.htm&amp;r=1&amp;f=G&amp;l=50&amp;d=PALL&amp;S1=08577893&amp;OS=PN\/08577893&amp;RS=PN\/08577893\" target=\"_blank\" rel=\"noopener noreferrer\">a patent<\/a>&nbsp;entitled \u201cRanking base on reference contexts.\u201d<\/p>\n<p>Here\u2019s an interesting excerpt from said patent:<\/p>\n<blockquote>[\u2026] Data surrounding the link, data to the left of the link or to the right of the link, or anchor text associated with the link may be used to determine the context associated with the&nbsp;link.<\/blockquote>\n<p>In other words, if the actual anchor text happens to be random and unrelated to the linked page, Google may look at the surrounding link text to help understand what the page is&nbsp;about.<\/p>\n<p>You can see how that might work with the example depicted in the screenshot above. The anchor text is random\/generic, but the surrounding link text offers some context.<\/p>\n<p>With that in mind, we thought it\u2019d be interesting to study if there was any correlation between rankings and the occurrence of the keyword in the surrounding link&nbsp;text.<\/p>\n<p>So here\u2019s what we&nbsp;did:<\/p>\n<p>We took the same set of keywords from study #1 but included only pages with random anchors\u2014i.e., pages without any exact\/phrase\/partial\/etc. anchored links.<\/p>\n<p>That left us with 27,156 web&nbsp;pages.<\/p>\n<p>To minimize bias, we further reduced our sample to 16K pages\u2014800 in each position (1-20). This was to ensure that any correlations were based on the same number of pages for each ranking position.<\/p>\n<p>Let\u2019s take a look at what we&nbsp;found.<\/p>\n<h3>Influence of exact-match keyword in surrounding link&nbsp;text<\/h3>\n<p>Say that our target keyword is \u201cSEO&nbsp;tool.\u201d<\/p>\n<p>Here\u2019s an example of a link with the exact-match keyword in the surrounding link&nbsp;text:<\/p>\n<blockquote><p>Ahrefs\u2019 Backlink Checker&nbsp;is my <a href=\"#\">favorite<\/a>&nbsp;SEO tool.<\/p><\/blockquote>\n<p>Now let\u2019s look at the results.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"861\" class=\"wp-image-25928\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5a.png\" alt=\"anchor text image 5a\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5a.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5a-768x735.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5a-444x425.png 444w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"904\" class=\"wp-image-25916\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5b.png\" alt=\"anchor text image 5b\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5b-768x771.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_5b-423x425.png 423w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>You can see that there is virtually no correlation here.<\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;0.0640<\/p>\n<p><strong>Result:<\/strong> having the exact-match keyword in the surrounding link text appears to have no notable effect on rankings.<\/p>\n<h3>Influence of partial-match keyword in surrounding link&nbsp;text<\/h3>\n<p>This time we took a look at the correlation between the occurrence of all terms from the target keyword and rankings\u2014i.e., partial match.<\/p>\n<p>For example, if our keyword were \u201cSEO tool,\u201d then this link would fall into the bucket:<\/p>\n<blockquote><p>Ahrefs\u2019 Backlink Checker is my <a href=\"#\">favorite<\/a>&nbsp;tool for&nbsp;SEO.<\/p><\/blockquote>\n<p>Make sense?<\/p>\n<p>Here are the results:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"914\" class=\"wp-image-25906\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6a.png\" alt=\"anchor text image 6a\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6a.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6a-768x780.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6a-418x425.png 418w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"904\" class=\"wp-image-25909\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6b.png\" alt=\"anchor text image 6b\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6b-768x771.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_6b-423x425.png 423w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;0.0205<\/p>\n<p><strong>Result:<\/strong> there is almost zero correlation between rankings and the occurrence of all words from the query in the surrounding link&nbsp;text.<\/p>\n<h3>Influence of 1+ words from the target query in surrounding link&nbsp;text<\/h3>\n<p>Finally, we looked at the correlation between rankings and the occurrence of at least one term from the target query in the surrounding link&nbsp;text.<\/p>\n<p>For example, if our keyword were \u201cSEO tool,\u201d then all of these links would fall into this bucket:<\/p>\n<blockquote><p>Ahrefs\u2019 Backlink Checker is my <a href=\"#\">favorite<\/a>&nbsp;marketing tool.<\/p><\/blockquote>\n<blockquote><p>Ahrefs\u2019 Backlink Checker is my <a href=\"#\">favorite<\/a>&nbsp;way to check SEO backlinks.<\/p><\/blockquote>\n<blockquote><p>Ahrefs\u2019 Backlink Checker is my <a href=\"#\">favorite<\/a>&nbsp;tool for&nbsp;SEO.<\/p><\/blockquote>\n<blockquote><p>Ahrefs\u2019 Backlink Checker is my <a href=\"#\">favorite<\/a>&nbsp;SEO tool.<\/p><\/blockquote>\n<p>You can see that this incorporates exact, phrase and partial-matches too.<\/p>\n<p>Here are the results:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"1068\" class=\"wp-image-25915\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7a.png\" alt=\"anchor text image 7a\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7a.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7a-768x911.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7a-358x425.png 358w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"904\" class=\"wp-image-25926\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7b.png\" alt=\"anchor text image 7b\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7b.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7b-768x771.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/anchor_text_image_7b-423x425.png 423w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>Interestingly, the average percentage of links with at least one word from the target query in the surrounding link text is quite high\u201420-25% for all ranking positions.<\/p>\n<p>Still, it\u2019s important to note that the median is zero, meaning that most of the pages we studied had no links with one or more words from the target query in the surrounding text.<\/p>\n<p>As for the correlation with rankings:<\/p>\n<p><strong>Spearman correlation (average):<\/strong>&nbsp;-0.0701<\/p>\n<p><strong>Result:<\/strong> a slight negative correlation, but it\u2019s so close to zero that this is effectively no correlation.<\/p>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>Why both of these studies are potentially flawed<\/h2>\n<\/div><\/div>\n<p>No study is perfect, and ours is no exception. Let me explain why.<\/p>\n<p>Say that we wanted to know how many backlinks with exact-match anchors there are to <a href=\"https:\/\/ahrefs.com\/blog\/find-email-address\/\">our guide to finding email addresses<\/a>.<\/p>\n<p>That sounds like an easy task\u2026 until you consider the fact that the post ranks for 7K+ keywords!<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"677\" height=\"274\" class=\"wp-image-25930\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/keyword-rankings-find-email-address.png\" alt=\"keyword rankings find email address\"><\/p>\n<p>So which one of those 7,205 keywords should we study as our exact-match phrase?<\/p>\n<p>I know what you\u2019re thinking: the main target keyword here is clearly \u201cfind email address,\u201d so surely we should study the number of backlinks with that phrase as the anchor text,&nbsp;right?<\/p>\n<p>That\u2019s a somewhat logical assumption, but there are two issues:<\/p>\n<p><strong>Firstly<\/strong>, while we can easily do that for this page because we <strong>know<\/strong>&nbsp;the main target keyword, how are we supposed to do the same thing, at scale, for 384,614 web pages? We can\u2019t, and we didn\u2019t, because there\u2019s no way to know for certain the main keyword that those pages are targeting.<\/p>\n<div class=\"recommendation\"><div class=\"recommendation-title\">QUICK NOTE<\/div><div class=\"recommendation-content\">\n<p>In <a href=\"https:\/\/ahrefs.com\/keywords-explorer\">Ahrefs Keywords Explorer<\/a>, we show the top 10 ranking pages for the target keyword in our <strong>SERP overview<\/strong>, plus a bunch of SEO metrics including the \u201cTop keyword.\u201d<\/p>\n<div id=\"attachment_25911\" style=\"width: 909px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-25911\" class=\"size-full wp-image-25911\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/top-keyword.png\" alt width=\"899\" height=\"428\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/top-keyword.png 899w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/top-keyword-768x366.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/top-keyword-680x324.png 680w\" sizes=\"auto, (max-width: 899px) 100vw, 899px\"><p id=\"caption-attachment-25911\" class=\"wp-caption-text\">SERP overview in Ahrefs Keywords Explorer.<\/p><\/div>\n<p>The \u201cTop keyword\u201d is the keyword that accounts for the most organic traffic to that&nbsp;page.<\/p>\n<p>So, why not use this metric&nbsp;to overcome the first issue with our anchor text&nbsp;study?<\/p>\n<p><strong>Answer<\/strong>: Because the \u201cTop keyword\u201d only shows which keyword happens to send the most organic traffic to the page, and that isn\u2019t always the keyword for which the author intends to&nbsp;rank.<\/p>\n<p>Also, I think it\u2019s fair to say that many&nbsp;anchored links, especially exact-match ones, are the result of \u201clink manipulation\u201d\u2014i.e., SEOs building links with their target keyword as the anchor, with the intention of boosting that page\u2019s ranking in search engines for said keyword.<\/p>\n<p>Put those two things together, and you can see why using the \u201cTop keyword\u201d wouldn\u2019t solve our&nbsp;issue.<\/p>\n<\/div><\/div>\n<p><strong>Secondly<\/strong>, our sample of 384,614 webpages came from looking at the top 20 ranking pages for 19,840 keywords. However, all of those keywords matched a set of initial criteria, one of which was a monthly search volume between 2,000 and 5,000. That criterion alone surely excludes some pages\u2019 main target keywords. In fact, that\u2019s the case for \u201cfind email address,\u201d which has a monthly search volume of 5,500 in the&nbsp;US.<\/p>\n<p>Now, before you assume that the page I used to illustrate this point is an outlier and that most pages don\u2019t rank for so many keywords, take a look at&nbsp;this:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"607\" class=\"wp-image-25913\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/00-average-number-also-rank-for-keywords2.png\" alt=\"00 average number also rank for keywords2\" srcset=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/00-average-number-also-rank-for-keywords2.png 900w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/00-average-number-also-rank-for-keywords2-768x518.png 768w, https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/00-average-number-also-rank-for-keywords2-630x425.png 630w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\"><\/p>\n<p>We <a href=\"https:\/\/ahrefs.com\/blog\/also-rank-for-study\/\">studied<\/a>&nbsp;3 million random search queries and found that, on average, the top 10 ranking pages also rank for between 400 and 1,300&nbsp;other queries.<\/p>\n<p>So, clearly, this is a large-scale happening that our study fails to take into account.<\/p>\n<p>Which brings me neatly to the section you\u2019ve probably all been waiting for\u2026<\/p>\n<div class=\"post-nav-link clearfix\" id=\"section1\"><a class=\"subhead-anchor\" data-tip=\"tooltip__copielink\" rel=\"#section1\"><svg width=\"19\" height=\"19\" viewBox=\"0 0 14 14\" style><g fill=\"none\" fill-rule=\"evenodd\"><path d=\"M0 0h14v14H0z\" \/><path d=\"M7.45 9.887l-1.62 1.621c-.92.92-2.418.92-3.338 0a2.364 2.364 0 0 1 0-3.339l1.62-1.62-1.273-1.272-1.62 1.62a4.161 4.161 0 1 0 5.885 5.884l1.62-1.62L7.45 9.886zM5.527 5.135L7.17 3.492c.92-.92 2.418-.92 3.339 0 .92.92.92 2.418 0 3.339L8.866 8.473l1.272 1.273 1.644-1.643A4.161 4.161 0 1 0 5.897 2.22L4.254 3.863l1.272 1.272zm-.66 3.998a.749.749 0 0 1 0-1.06l2.208-2.206a.749.749 0 1 1 1.06 1.06L5.928 9.133a.75.75 0 0 1-1.061 0z\" style \/><\/g><\/svg><\/a><div class=\"link-text\">\n<h2>Should you build links with specific anchors in&nbsp;2019?<\/h2>\n<\/div><\/div>\n<p>Let\u2019s assume that there was some magical way of knowing the primary target keyword for each page we studied, would that change anything? It\u2019s impossible to say, but is that even the right question to&nbsp;ask?<\/p>\n<p>I don\u2019t believe it is, and I don\u2019t believe that aiming to build keyword-rich anchors is a good strategy for&nbsp;2019.<\/p>\n<p>Here are three reasons why:<\/p>\n<h3>1) Topics &gt; keywords<\/h3>\n<p>Here\u2019s an interesting fact:<\/p>\n<blockquote><p>On average, across all posts on the <a href=\"https:\/\/ahrefs.com\/blog\/\">Ahrefs blog<\/a>, <strong>only 22% (~\u2155) of traffic comes from the main target keyword.<\/strong><\/p><\/blockquote>\n<p>So even if our study had no flaws, and we found that using exact-match anchors, say, 13% of the time is the secret to ranking for your target keyword (it isn\u2019t, just to be clear), then logically, focusing on building keyword-rich links still shouldn\u2019t be your&nbsp;focus.<\/p>\n<p>That\u2019s because it\u2019s obviously an oversight to focus your efforts improving the ranking of a single keyword\u2014which will only be responsible for sending a small percentage of that page\u2019s total traffic.<\/p>\n<p>But why is this the case anyway? Why don\u2019t our pages\u2014and others\u2019 pages\u2014see a higher percentage of total traffic coming from the primary target keyword?<\/p>\n<p>Let me explain\u2026<\/p>\n<p>Google\u2019s understanding of natural-language queries is arguably better than ever. In part, that\u2019s thanks to the introduction of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Google_Hummingbird\" target=\"_blank\" rel=\"noopener noreferrer\">Hummingbird<\/a>&nbsp;in 2013, which \u201cplaces greater emphasis on natural language queries, considering context and meaning over individual keywords,\u201d according to <a href=\"https:\/\/en.wikipedia.org\/wiki\/Google_Hummingbird\" target=\"_blank\" rel=\"noopener noreferrer\">Wikipedia<\/a>.<\/p>\n<p>Because of this, pages that rank for their target keyword also tend to rank for a bunch of <a href=\"https:\/\/ahrefs.com\/blog\/long-tail-keywords\/\">long-tail<\/a>&nbsp;variations, which, when combined, are often responsible for the vast majority of traffic to the&nbsp;page.<\/p>\n<p>To give one example, here\u2019s the total US organic traffic to our guide to finding emails, via <a href=\"https:\/\/ahrefs.com\/site-explorer\">Ahrefs Site Explorer<\/a>:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"294\" height=\"89\" class=\"wp-image-25922\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/us-traffic-to-page.png\" alt=\"us traffic to page\"><\/p>\n<p>And here\u2019s the organic traffic from the target keyword:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-25907\" src=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2019\/02\/total-traffic-from-target-keyword.png\" alt width=\"564\" height=\"87\"><\/p>\n<p>1,076\/ 6,200 = <strong>~17% of total traffic coming from the target keyword.<\/strong><\/p>\n<p>So, to bring this full-circle:<\/p>\n<p>Exact-match anchors can only target one keyword by definition, and in 2019, ranking for one keyword is not what SEO is all about, and nor should it be your primary goal.<\/p>\n<p><strong>Recommended reading:<\/strong>&nbsp;<em><a href=\"https:\/\/ahrefs.com\/seo\/keyword-research\" data-ahr=\"https:\/\/ahrefs.com\/blog\/keyword-research\/\">How To Do Keyword Research for SEO \u2014 Ahrefs\u2019 Guide<\/a><\/em><\/p>\n<p>Having said that, some of you may have spotted a possible flaw in this argument. Or to be more accurate: a counter-argument.<\/p>\n<p>It goes something like&nbsp;this:<\/p>\n<blockquote><p>If you could convince Google\u2019s that your page is about<em>&nbsp;x<\/em>&nbsp;by building links with \u201c<em>x\u201d<\/em>&nbsp;as the anchor text, and Hummingbird associates <em>x<\/em>&nbsp;with <em>y<\/em>, and <em>z<\/em>, then doesn\u2019t building keyword-rich links indirectly increase Google\u2019s confidence that your page serves as a relevant result not only for <em>x<\/em>, but also <em>y<\/em>, <em>z<\/em>, and any other related queries, and thus has the potential to increase rankings and traffic across the&nbsp;board?<\/p><\/blockquote>\n<p>That <em>could<\/em>&nbsp;be true, but it\u2019s certainly a risky and unnecessarily difficult way to achieve that outcome\u2014especially post-Penguin.<\/p>\n<p>It would be much easier to do some <a href=\"https:\/\/ahrefs.com\/seo\/on-page-seo\" data-ahr=\"https:\/\/ahrefs.com\/blog\/on-page-seo\/\">on-page SEO<\/a>&nbsp;and optimize for topically-related keywords (i.e., not only <em>x<\/em>, but also<em>&nbsp;y<\/em>&nbsp;and <em>z<\/em>).<\/p>\n<h3>2) Risk<\/h3>\n<p>Building links with keyword-rich anchors is <a href=\"https:\/\/support.google.com\/webmasters\/answer\/66356?hl=en\" target=\"_blank\" rel=\"noopener noreferrer\">risky<\/a>.<\/p>\n<p>And yes, I do mean <em>building<\/em>&nbsp;links\u2026<\/p>\n<p>I think we all know that someone naturally linking to your page using the exact target keyword as the anchor is a rare occurrence. Which brings me to a related point:<\/p>\n<p>It\u2019s difficult to build such links without resorting to <a href=\"https:\/\/ahrefs.com\/blog\/white-hat-seo\/\">low-quality black-hat tactics<\/a>&nbsp;like using PBNs, which is not something we advocate.<\/p>\n<h3>3) Weak correlations<\/h3>\n<p>Any potential flaws aside, the results of our study indicate that anchor text plays a rather insignificant role when it comes to ranking in&nbsp;2019.<\/p>\n<h2>Final Thoughts<\/h2>\n<p>Anchor text is a complex topic. Many people in the industry continue to swear by higher-than-average exact-match anchors, whereas others\u2014like myself\u2014tend to think these things are better kept on the safe&nbsp;side.<\/p>\n<p>Some people even analyze the anchor text ratios of the current top ranking pages for their target keyword and base their own anchor text ratios on the findings.<\/p>\n<p>However, that\u2019s not something we recommend for one overarching reason:<\/p>\n<p>You have no control over the anchor text used with almost all legitimate white-hat <a href=\"https:\/\/ahrefs.com\/blog\/link-building-strategies\/\">link building strategies<\/a>. In fact, <a href=\"https:\/\/ahrefs.com\/blog\/guest-blogging\/\">guest blogging<\/a>&nbsp;is the only strategy that comes to mind where you get to choose the anchor text of your links\u2014and you should probably use branded links there, at least for author bios.<\/p>\n<p>Bottom line: Your best bet for creating a natural anchor text ratio in your backlink profile\u2014which is what Google wants to see\u2014is simple: Don\u2019t try to manipulate your anchor text ratios at&nbsp;all.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Here\u2019s what Google\u2019s John Mueller says: He seems to be implying that Google uses anchor text to help understand the context of the link and thus, it may be a \u201cranking factor.\u201d That\u2019s not a big surprise\u2014Google\u2019s original patent states<span class=\"ellipsis\">\u2026<\/span><\/p>\n<div class=\"read-more\">Read more \u203a<\/div>\n<p><!-- end of .read-more --><\/p>\n","protected":false},"author":114,"featured_media":26014,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"wp_typography_post_enhancements_disabled":false,"footnotes":""},"categories":[414,335,76],"tags":[],"coauthors":[336],"class_list":["post-11787","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-studies","category-general-seo","category-link-building","odd"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What Is Anchor Text? Everything You Need to Know (No Jargon!)<\/title>\n<meta name=\"description\" content=\"What is anchor text? Does it influence search engine rankings? How do you optimize it for SEO? Learn everything you need to know here.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ahrefs.com\/blog\/anchor-text\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Is Anchor Text? Everything You Need to Know (No Jargon!)\" \/>\n<meta property=\"og:description\" content=\"Learn if and how anchor text influences search engine rankings in 2019.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ahrefs.com\/blog\/anchor-text\/\" \/>\n<meta property=\"og:site_name\" content=\"SEO Blog by Ahrefs\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Ahrefs\/\" \/>\n<meta property=\"article:published_time\" content=\"2019-02-26T20:07:54+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-18T12:23:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ahrefs.com\/blog\/wp-content\/uploads\/2016\/07\/fb-anchor-text-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"952\" \/>\n\t<meta property=\"og:image:height\" content=\"498\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Joshua Hardwick\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:description\" content=\"Learn if and how anchor text influences search engine rankings in 2019.\" \/>\n<meta name=\"twitter:creator\" content=\"@JoshuaCHardwick\" \/>\n<meta name=\"twitter:site\" content=\"@ahrefs\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/\"},\"author\":{\"name\":\"Joshua Hardwick\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/#\\\/schema\\\/person\\\/e6a89cbde8e750d22996aa26e213e712\"},\"headline\":\"Anchor Text: A Data\u2010Driven Guide (384,614 Web Pages Studied)\",\"datePublished\":\"2019-02-26T20:07:54+00:00\",\"dateModified\":\"2024-03-18T12:23:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/\"},\"wordCount\":4512,\"commentCount\":116,\"publisher\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/wp-content\\\/uploads\\\/2016\\\/07\\\/fb-anchor-text-1.png\",\"articleSection\":[\"Data &amp; Studies\",\"General SEO\",\"Link Building\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/\",\"url\":\"https:\\\/\\\/ahrefs.com\\\/blog\\\/anchor-text\\\/\",\"name\":\"What Is Anchor Text? 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