Below you’ll find 10 ChatGPT SEO tools; A collection of MCPs and custom GPTs that plug straight into your workflow, reduce the grunt work, and help you focus on making all-around better SEO decisions.
Pricing: ChatGPT Plus/Team plan ($20+/mo)
The awesome Aleyda Solis built the “Content Helpfulness and Quality SEO Analyzer” to make it easier for SEOs to evaluate how well a page meets Google’s content quality and helpfulness criteria, and how it stacks up against competitors.
You just drop in a URL and the query you want to rank for, and it returns a structured assessment covering helpfulness, expertise, relevance, content depth, and overall production quality.
Think of it as a sort of E-E-A-T consultant, giving you practical and specific improvement ideas, like adding interactivity, updating stale sections, or improving real-world examples.
It’s essentially a quick way to spot why your page might be underperforming and what to fix first.
Example use cases
- Compare your content against competitor pages: Spot where rival pages outperform you on helpfulness, clarity, freshness, or depth.
- Find gaps holding back rankings: See missing elements—outdated info, weak explanations, thin production quality—that may be hurting relevance for your target query.
- Strengthen E-E-A-T signals: Evaluate how well your page demonstrates experience, expertise, and authority, and get suggestions to improve them.
- Prioritize content updates: Use the Analyzer to quickly decide which updates will have the biggest impact on search visibility.
If you want more SERP friendly recommendations on how to improve your content, you can also try running it through Ahrefs AI Content Helper.
You just supply your focus keyword, article URL, and select the matching search intent, and in return you’ll get a list of specific recommendations on how to fill topic gaps in your article.
Then toggle on the “Highlights” feature to see exactly which sentences need enriching.
Pricing: ChatGPT Plus/Team plan ($20+/mo). GA4 free; GA360 enterprise/premium (Starts $50K/yr)
The Google Analytics MCP lets ChatGPT or Claude pull real GA4 data on command.
Instead of wrestling with those clunky GA4 reports, you can set it up, ask it questions, and get real analytics pulled straight from the GA Data API in return.
The team at ProAnalytics used the Google Analytics MCP to analyze conversion behavior across traffic sources.
By asking ChatGPT to break down add-to-cart → purchase rates by source/medium, they quickly found their best and worst-performing channels: Facebook Business/Referral, and Direct/No Medium.
They also went deeper and found out which specific categories and products were most responsible for cart abandonment: cameras (Canon EOS 5D) and MP3s (iPod Shuffle).
Source: ProAnalytics
Example use cases
| Use case | Prompt example | Description |
|---|---|---|
| Find high-traffic but weak-engagement pages | “Which landing pages get the most traffic but have the highest bounce rates?” | This is great for finding pages that rank but fail to engage users—i.e. your best opps for content or UX improvements. |
| Compare organic vs. paid performance | “Show me trends in organic search traffic compared to paid over the last quarter.” | Measure how effective and sustainable your organic visibility is vs. ad spend. |
| Map pre-conversion navigation paths | “What are the most common navigation paths before conversion?” | Find out how organic visitors move through your site, to make decisions on internal linking and content optimization. |
| Spot top-performing content | “Which content keeps users engaged the longest?” | Spot high-performing pages that attract and retain organic visitors—then model future content around them. |
| Track international traffic growth | “What countries are contributing the most to my traffic growth?” | Pinpoint where your organic visibility is expanding geographically, so you can make better decisions on international targeting and localization. |
Pricing: ChatGPT Plus/Team plan ($20+/mo) + Ahrefs subscription ($129–$449/mo)
Until recently, AI assistants could only guess traffic stats and search insights based on outdated training data.
But now with Ahrefs MCP, assistants like ChatGPT and Claude have instant access to real SEO data.
They help you pull insights on traffic-growth trends, spot competitor gaps, and even unify data from different tools so you can analyze everything in one place.
That means no more exporting or copying and pasting keywords into spreadsheets.
You can chat to the actual data as if you were seeking advice from an SEO consultant, asking questions like:
- “What keywords am I closest to ranking for but not yet winning?”
- “Which competitor pages are stealing my traffic—and why?”
- “What quick wins could boost my organic traffic this month?”
- “Which pages should I update first for the biggest ranking lift?”
- “Where does my content miss search intent compared to top results?”
Read our set up instructions to understand how to connect ChatGPT to the Ahrefs MCP, or alternatively watch this video by Chris Long, Co-Founder of Nectiv.
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I’m so excited, I’m shaking right now! @ahrefs launched an MCP which means you can DIRECTLY CONNECT ChatGPT to have it perform SEO analysis: pic.twitter.com/wFYyo1ya63
— Chris Long (@chris_nectiv) September 18, 2025
This was Chris Long’s reaction when he realized he could hand off deep SEO research to Ahrefs and Claude…
And he did something very cool with it.
Instead of exporting competitor keywords, cleaning them up, and clustering them in a spreadsheet, he just uploaded the files and asked the AI to “make sense of everything.”
Using Ahrefs data via the MCP, it grouped thousands of keywords into meaningful topic clusters, ranked those clusters by traffic potential, and even produced a bubble chart showing which categories were “easy wins” versus “high value.” This kind of workflow would usually take hours, if not days. The combo of Ahrefs + AI means now it takes minutes.
Example use cases
| Use case | Prompt example | Description |
|---|---|---|
| Find content update opportunities in SERPs without AI Overviews | “Show me 20 pages on (example.com/blog/) that are losing organic traffic, already rank for low-difficulty keywords, and whose top keyword doesn’t trigger an AI Overview.” | Find pages where updates have a better chance of improving rankings and clicks, without competing against AI Overviews. |
| Find quick-win, high-visibility content to optimize | “What keywords is (example.com/blog/) ranking for in positions 4–10 (page 1 but not top 3) that have search volume over 1,000?” | Pinpoint pages already close to breaking into the top 3—your most efficient opportunities for fast, measurable gains. |
| Get popular yet low-competition keyword ideas | “Give me 50 keyword ideas related to ‘content marketing’ with search volume 500–5,000 and difficulty under 30.” | Generate large, high-quality keyword lists to build or expand content hubs without battling high-competition terms. |
| Audit and optimize internal links | “Which pages on my site (example.com/blog/) have the most internal links, and are there important pages being under-linked?” | Quickly surface strong and weak internal linking patterns so you can boost authority flow to pages that need it most. |
You can even take these insights and feed them into your content creation.
For example, if you’ve trained a customGPT on your brand guidelines and product universe, feed Ahrefs’ keyword/topic data into it to help write search-optimized outlines and first-pass drafts.
Pricing: ChatGPT Plus/Team plan ($20+/mo)
Recently, some companies have been creating experimental LLM info pages—structured web pages that give AI models clear, accurate information about a brand or entity.
The idea being these pages (hopefully) get cited more frequently and accurately by AI assistants. ¹²³
The Info Page Generator is a ChatGPT SEO tool built by CEO of Notebook Agency, Steve Toth
It’s essentially a custom GPT that helps SEOs and marketers auto-create LLM-info pages.
You just send it your domain in a ChatGPT chat window, and it sends you back a structured brand information page, featuring official brand information, core service offerings, client portfolio info, competitive advantage info, and more.
I ran the Ahrefs domain through the Info Page Generator, and it returned tons of details about Ahrefs drawn from pages throughout our site, as well as off-site mentions.
An interesting feature of the Info Page Generator is the clear instructions it gives to AI assistants—almost like a prompt injection.
Example use cases
- Create a clean “source of truth” for AI: Help AI assistants pull accurate, up-to-date brand info.
- Increase your chances of being cited by AI tools: Structured pages are easier for models to parse and reference.
Control how AI describes your company: Hand AI assistants clear, explicit instructions that are thought to guide brand messaging in AI answers. - Track the visibility of a single URL: More easily monitor mentions and AI citations.
Marketing is a process of trial and error. Even if LLM info pages don’t work perfectly, having this kind of SEO tool in ChatGPT helps you test and learn which methods do move the needle when it comes to AI visibility.
Pricing: ChatGPT Plus/Team plan ($20+/mo). Ahrefs Content Kit add-on (Starts $99/mo) for access to AI Content Helper.
Our Director of Content, Ryan Law, has built two ChatGPT SEO tools; one for content brief creation, and the other for creating a “30%” article outline.
Both customGPTs help you speed up content creation, and are based on the ChatGPT-based AI content creation workflow Ryan outlined on the Ahrefs Podcast.
Ahrefs Brief Bot works by asking you simple questions about your content idea, once you’ve supplied it with your target keyword, headline, and goal.
Recently, I’ve been noodling on the topic of “Vibe marketing”, so I submitted that as my keyword.
It also gives you the opportunity to paste in recommendations and topic suggestions from Ahrefs’ AI Content Helper.
For those unfamiliar, the AI Content Helper shows you the entities, keywords, and intent of the top-ranking pages in the SERPs for your chosen keyword.
Ahrefs Brief Bot essentially prompts you to think about content in the right way. It won’t do the heavy lifting for you, but it will guide you in the right direction.
Once you’ve answered all of the questions, you’ll be left with a brief, which you can take over to the Ahrefs 30% Bot, to get a fully-fledged content outline.
This bullet-point outline is built to follow some writing best practices and structural principles like “PAS” introductions (“Problem > Agitate > Solution”), or BLUF paragraphs (Bottom Line Up Front).
It opens your content in ChatGPT Canvas, so that you can highlight, comment, and chat about your edits.
For example, here’s an article outline on “MCP servers”
And Ryan has built a third ChatGPT SEO tool—The 90% Bot—that helps you turn that 30% outline into a first-draft blog post.
Example use cases
- Turn vague content ideas into publish-worthy content: Use it when a topic feels fuzzy and you need a clear angle, purpose, and structure before you write.
- Build briefs for writers or freelancers at scale: Create high-quality briefs without spending 30–45 minutes crafting each one manually.
- Refine underperforming or outdated articles: Feed a keyword from an existing post into Brief Bot to rethink the angle, clarify the goal, and produce a better structured outline for an update.
- Create consistent outlines for content hubs: Use Brief Bot to create content “hubs” or a themed series that require consistent structure, messaging, and depth across multiple articles.
Pricing: ChatGPT Plus/Team plan ($20+/mo)
Senior SEO Specialist, Amanda Jordan, built the Schema Advisor—a custom GPT trained on Schema.org and trusted SEO guides—to help marketers create accurate, ready-to-use structured data for any webpage.
You just hand it a URL or domain, and it will identify the most relevant Schema.org type for your page—whether that’s BlogPosting, Product, or SoftwareApplication.
It then generates clean, validated JSON-LD schema markup you can drop straight into your site.
Each recommendation comes with clear explanations, so you can understand what every schema type and property means—and why it matters for SEO.
It also flags missing or weak elements like absent logos or incomplete metadata, so you can fill gaps before they cause problems.
As you use it, it helps you learn how structured data fits into technical SEO and how to apply it across your site.
Example use cases
- Troubleshoot rich-result drops: If a page loses FAQs, how-tos, or product snippets, use it to find missing or weak elements that may be responsible.
- Clean up messy or outdated structured data: Use it to spot incorrect properties, deprecated types, or incomplete fields that could be hurting rich-result eligibility.
- Validate schema before launching new pages: Run draft product, blog, or feature pages through The Schema Advisor to make sure markup is correct before publishing.
- Standardize schema across large sites: For teams managing hundreds of URLs, use it for consistent JSON-LD patterns for similar page types.
Pricing: ChatGPT Plus/Team plan ($20+/mo) + AlsoAsked API Developer Tier access ($49+/mo)
Metehan Yeşilyurt has built a powerful MCP integration for AlsoAsked, letting you pull real-time People Also Ask (PAA) data directly into ChatGPT or Claude.
It returns full PAA question trees with follow-ups and deeper branches, so you can map search intent the same way users actually explore a topic.
It’s useful for researching search intent, comparing how questions change across regions, and uncovering content gaps directly inside your AI assistant.
If you do any kind of PAA research, local SEO, or multi-market content planning, it basically turns ChatGPT into a fast, on-demand PAA engine.
Just built an AlsoAsked MCP server that brings “People Also Ask” insights directly into AI!
— Metehan Yesilyurt (@metehan777) June 9, 2025
Now I can research PAA questions, analyze search intent, and discover content gaps without leaving my AI assistant. International SEO is now sooooo easy!
Geographic targeting included… pic.twitter.com/ZXxvgbSlRM
And it comes with some more awesome use cases…
Example use cases
- Find questions with geo-targeted intent: Drop in coordinates to see how questions change by market—e.g., “restaurant PAAs” in Texas vs. NYC return completely different concerns around price, cuisine, and opening hours.
- Optimize answers for international markets: Compare German vs. Spanish PAAs for fitness queries to uncover market-specific angles like “home workouts without equipment” vs. “gym routines for beginners.”
- Do scaled content gap analysis: Bulk-pull PAAs around your topic, cluster them with your assistant, and spot answers competitors haven’t covered.
- Create SERP-guided content: Turn PAA trees into article outlines, FAQ sections, or support content that mirrors real user journeys.
Pricing: ChatGPT Plus/Team plan ($20+/mo) + Findable subscription (from $49/mo)
The Technical SEO MCP was one of Product Hunt’s Daily Top Products.
It’s a copilot for technical site audits that plugs directly into Claude, ChatGPT, and other MCP-ready agents.
Instead of manually running crawl checks, Core Web Vitals tests, and robots.txt visibility audits one URL at a time, it automates the whole workflow—batch-scanning hundreds of sites and returning clear summaries.
If you’re prospecting, comparing competitors, or reviewing a messy client site, it pulls everything into a single report—crawlability, PageSpeed data, sitemap and schema checks, AI crawler visibility, and more.
We might need to have a look at our blog category pages and glossary pages! Example use cases
- Audit a new client site in minutes: Run a full crawl, check Core Web Vitals, validate sitemaps, and surface major tech issues instantly—ideal for onboarding or pitching.
- Troubleshoot sudden traffic drops: Use the MCP to check for issues like failing CWV metrics, missing schema, incorrect canonical tags, or sitemap errors.
- Monitor AI crawler accessibility: Quickly see whether your site is visible to major AI crawlers and see where blocking or misconfiguration might harm AI visibility.
- Speed up large-scale site cleanups: For teams handling big or messy sites, the Technical SEO MCP can be used to check hundreds of URLs for broken tags or slow pages—something that would usually take hours.
Pricing: ChatGPT Plus/Team plan ($20+/mo)
YouTube is the world’s second-largest search engine, a regular fixture in Google’s results, and the most-cited domain in AI Overviews and AI Mode. Stronger watch time makes your videos more visible across YouTube, Google Search, and the AI assistants that lean heavily on its content.
Steve Toth’s Watch Time Optimizer is a GPT agent that rewrites your YouTube scripts to increase retention.
It analyzes a YouTube transcript, flags weak hooks or slow sections, and injects intrigue loops, and stronger narrative pacing so viewers stay longer—one of YouTube’s biggest ranking factors.
YouTuber Matt Diggity says he’s been “using it on every video,” after seeing how it tightened his openings and boosted engagement.
Example use cases
- Strengthen weak openings: Use the Watch Time Optimizer to tighten hooks so fewer viewers drop off in the first 10–20 seconds.
- Add intrigue loops to keep people watching: Insert suggested suspense or open questions that naturally push viewers forward.
- Fix slow or repetitive sections: The GPT flags moments that lose momentum and suggests tighter, more engaging rewrites.
- Rewrite sponsor segments for better retention: Use the WTO tips to integrate ads more smoothly into the story, and reduce mid-video drop-offs.
- Turn raw transcripts into structured scripts: Use it to convert messy spoken text into a clear, high-retention video format.
Pricing: ChatGPT Plus/Team plan ($20+/mo)
The Digital Content Tuner is a custom GPT built by SEO expert Montserrat Cano to help other SEOs and content marketers come up with localized content ideas for the UK, US, Canada, and Australia.
It’s designed for teams publishing across multiple English-speaking regions who need content that feels “right” for each audience, and not just words rewritten with a different spelling.
It tailors suggestions to each region’s trends, language differences, and cultural context.
Montserrat stress-tested the tool with a group of SEOs and strategists across all four markets.
Their feedback helped the tool get UK–US phrasing right, and avoid angles that might feel culturally off, insensitive, or just irrelevant—like suggesting an sentence about ‘keeping valuables in your boot,’ which is solid car-safety advice in the UK, but a very odd fashion tip in the US.
For example, you can look at Spanish or French search demand inside the United States, or see how keyword trends differ between English and French speakers in Canada. This opens up far more accurate international keyword research, especially for markets where multiple languages shape search intent. Example use cases
- Generate region-specific content angles: Tailor ideas to regional expectations, trends, and audience needs.
- Adapt one idea for multiple markets: Quickly localize tone, phrasing, and emphasis.
- Sense-check cultural or political nuance: Prevent missteps by discovering terminology or framing that may not land well in specific regions.
- Build market-relevant topic clusters: Discover subtopics that reflect each market’s concerns, regulations, and local context.
Final thoughts
Whether you’re pulling live data from Ahrefs, structuring brand info for LLMs, or tightening your content workflow, the tools on this list will show what’s possible when ChatGPT plugs directly into the platforms you already rely on.
Ultimately, when you use customGPTs, MCPs, and AI visibility tools, you spend less time wrangling data and more time on the important stuff.
