ChatGPT answers, unedited

If you mean “do AI assistants actually cite my docs pages when users ask product questions?” (rather than just “is my site AI-readable?”), I’d look at tools that run real prompts and inspect citations. A few free or free-tier options:

Best fits for a SaaS docs site

1. app.citecue.com

• Good for: checking whether AI answers cite your domain and comparing against competitors
• Useful workflow: - Add important docs URLs
• Create prompts like: - “How do I configure SSO in [category] software?”
• “What are alternatives to [your product]?”
• “How do I migrate from X to Y?”
• Track whether your docs appear as cited sources
• Has free tools for AI visibility checks. CiteCue

2. citationdesk.com

• Good for: single-page citation readiness audits
• Checks things like: - extractable content
• AI-readiness signals
• structure/schema
• crawl health
• More “will this page be citable?” than “how often is it cited.” CitationDesk

3. grow.contact

• Good for: technical docs hygiene
• Looks at agent-readability factors such as: - semantic HTML
• structured data
• llms.txt
• accessibility for AI agents
• Useful if your docs are generated by tools like Docusaurus, Mintlify, ReadMe, GitBook, etc. Grow Contact

4. Build a lightweight internal grader (often the best option for SaaS docs)

For a docs site, I’d probably create a small spreadsheet/script with:

Run 20–50 “money questions” monthly. This gives you a much better signal than a generic AI score.

What I would grade for SaaS docs specifically

A good docs citation grader should check:

• Task coverage - Does a page answer the exact user question?
• Quoteability - Are there concise explanations AI can reuse?
• Canonical URLs - Does each feature have one obvious source page?
• Examples - API calls, configs, troubleshooting steps
• Freshness - Updated dates and versioning
• Navigation - Can an AI agent find the right page quickly?
• Structured data / machine-readable hints

Microsoft also has an AI Visibility citation dashboard that measures which pages are referenced in AI-generated answers, though it is more of an analytics product than a simple docs grader. Microsoft Learn

If your goal is a free lead magnet for your own SaaS docs audience, I’d avoid building a generic “AI score.” A stronger grader would take a docs sitemap, extract the top 20 pages, generate likely customer questions, and test whether those exact pages are cited. That maps much closer to developer-docs value.

Yes. For a SaaS docs site, I’d distinguish “is my site citation-ready?” from “does an AI assistant actually cite this specific docs page?” The latter is what you probably care about.

Free options worth trying

• citegrade.com — probably the closest fit. Give it a specific docs URL + target query, and it checks ChatGPT and Perplexity to see whether your page is cited, including citation position and competing pages. Its citation checker is advertised as free/unlimited. Citegrade
• citationdesk.com — useful as a broader page/site readiness grader. It gives a 0–100 score across SEO/GEO, entity, structure and crawlability, and explicitly covers ChatGPT, Claude, Perplexity and Gemini. It's free and doesn't require signup. CitationDesk CitationDesk
• citedspy.com — good for quickly running the same query across ChatGPT, Perplexity, Gemini, Claude and Grok and comparing the actual sources cited. CitedSpy
• rank.ai — simpler, but useful for a quick three-model check across ChatGPT, Claude and Gemini. Rank.ai
• nyftylabs.com — interesting if you're comfortable bringing your own API keys. It records whether Claude, ChatGPT, Gemini and Perplexity mention/cite your domain and lets you rerun the snapshot over time. NYFTY Labs

What I'd do for SaaS docs

Don't just ask:

“Does AI cite my company?”

Instead, build a small test set of 20–50 questions your docs are supposed to answer, e.g.:

• “How do I configure X in Acme?”
• “Acme API authentication example”
• “How do I handle webhooks in Acme?”
• “Acme rate limits”
• “How do I migrate from v1 to v2?”
• “What's the difference between Acme's X and Y?”

Then track, for each question:

That “correct page” metric is particularly important for SaaS docs. A tool can tell you that example.com is visible while AI is actually citing your homepage or blog instead of the canonical API reference page.

If you want something you can run repeatedly for free, I'd start with Citegrade for page/query-level verification + CitationDesk for diagnosing why a page isn't citation-ready. Citegrade CitationDesk

One caveat: AI citation results are inherently variable. Even Citegrade notes that repeated runs can produce different citations because model outputs aren't deterministic, so I'd run each important query several times rather than treating a single pass as definitive. Citegrade

Yes. If your goal is specifically “are these particular SaaS docs pages actually being cited as sources by AI assistants?”, I’d separate tools into two categories:

Best free options I’d try

• citegrade.com — probably the closest match. You give it a URL + target query, and it checks ChatGPT and Perplexity in real time, including whether your page was cited and its citation position. It says citation verification is free. Citegrade Citegrade
• frase.io — useful for a broader domain-level check. It can tell you whether ChatGPT, Perplexity, and Gemini cite your domain; the first result is free. Frase
• citedspy.com — interesting if you want to run the same question across several assistants and see the actual sources side-by-side. It currently advertises ChatGPT, Perplexity, Gemini, Claude, and Grok. CitedSpy
• fogtrail.ai — more of a broad visibility report; its free scan checks ChatGPT, Perplexity, Claude, Gemini, and Grok and reports whether you're cited, mentioned, or invisible for each query. FogTrail
• citationdesk.com — good for assessing citation readiness of individual docs, rather than proving that an assistant actually cited them. It's free/no-signup and scores pages across several citation-readiness dimensions. CitationDesk CitationDesk

For a SaaS docs site, I'd test it like this

Don't just enter your homepage. Build a little matrix:

The important distinction is citation vs. mention. An assistant saying “Acme supports OAuth” isn't necessarily useful evidence that it is using your docs. You want to know:

1. Was your URL actually cited?
2. Which exact page was cited?
3. For which questions?
4. Which competitor docs got cited instead?
5. Did the assistant extract the correct answer from your page?

For that reason, Citegrade is the first one I'd try for your use case, while CitationDesk/Frase are useful complementary graders.

If you're actually thinking about building a free grader into your SaaS/docs workflow, that's a slightly different problem—and there are some fairly simple ways to build one that tests a selected set of docs against a fixed prompt suite and produces a citation coverage %.

Yes. If your goal is specifically “give me a URL + a set of questions, and tell me whether AI assistants actually cite my docs”, I’d separate that from generic “AI visibility” graders.

My picks

1. Citegrade — probably the closest match to what you described. You provide a specific page + target query, and it checks ChatGPT and Perplexity live, including whether your page was cited and which competitors were cited instead. It says the citation checker is free. citegrade.comwww.citedspy.com

2. CitedSpy — useful if you want breadth. It runs the same query across ChatGPT, Perplexity, Gemini, Claude and Grok and shows the sources cited by each. It's free/no signup. www.citedspy.com

3. FactSentry — more SaaS/brand-oriented. It looks at whether ChatGPT mentions your product, what competitors get cited, inaccuracies, and an overall visibility score. factsentry.ai

4. Citera — interesting if you want to evaluate individual documentation pages, not merely brand mentions. It combines a page-level “citation potential” score with live AI simulations across ChatGPT, Claude, Gemini and Perplexity. citera.dev

One important distinction

Tools like IsVisible.ai are useful, but they're answering a different question: “Can AI crawlers access my site?” It checks robots.txt, llms.txt and crawler access. That's a good prerequisite, but being crawlable ≠ actually being cited. citegrade.comwww.citedspy.comisvisible.ai

For a SaaS docs site, I'd actually build a tiny test set like:

Then rerun it after documentation changes. CitedSpy is the easiest free starting point for this, while Citegrade looks better if you want to focus tightly on individual pages and competitor gaps. citegrade.comwww.citedspy.com

If you're actually thinking about building this as a free grader for your own SaaS/docs product, I can also suggest what I'd put in the grader and how I'd score “AI-citability” versus merely “AI-accessibility.”

Yes. For a SaaS docs site, I’d distinguish between two things:

1. “Is this page technically citable?” — crawlability, structured data, headings, answerability, etc.
2. “When someone asks an AI a question this page should answer, does the AI actually cite this URL?” — much more useful for docs.

For #2, these are worth trying:

• Citability — probably the closest match to what you're describing. It runs live tests across ChatGPT, Claude, Perplexity, and Gemini and reports whether you're cited, mentioned, or absent, including the cited position. It currently advertises a free, no-card scan. citability.dev
• Frase AI Visibility Checker — free/no-signup initial check; specifically tests whether AI engines cite your domain. Its GEO checker can also grade an individual page for citation readiness. www.frase.io
• GEO Checker — interesting if you want to test a set of actual buyer questions. Its free browser extension runs prompts through your own logged-in AI sessions and shows citations and competitors that appear instead. geochecker.net
• Revenue Grader — particularly relevant to SaaS because it lets you submit a page and tests ChatGPT, Claude, and Perplexity against buyer questions, showing cited vs. mentioned vs. omitted. Free scan, no login. getrevenuegrader.com
• GEO Optimizer — if you're technical and want something you can run in CI. It's open source and can audit a site plus test AI citation visibility across several engines. github.com

What I'd use for docs specifically

Don't just enter your domain and ask “Is my site cited?”.

Take your 20–50 highest-value documentation questions, e.g.:

“How do I configure SSO in [product]?”
“Does [product] support SCIM?”
“How do I rotate an API key?”
“[Product] webhook retry behavior”
“[Product] vs [competitor]”

Then measure:

That correct-page rate is especially important for SaaS docs. A domain-level “you were cited” score can look great while the AI is actually citing your changelog or homepage instead of the documentation page that answers the question.

If you want something you could potentially embed into your own docs product as a free “AI citation grader”, I can also suggest a lightweight architecture/API approach for building one yourself.

Yes. If your goal is specifically “do AI assistants cite my actual documentation pages?”, I’d separate tools into two categories:

Best free options

• EdenRank AI Visibility Checker — probably the closest match for a quick test. It runs one prompt across ChatGPT, Perplexity, Gemini, Google AI, Claude, Copilot, and DeepSeek and shows the answers plus citations. edenrank.com
• FogTrail Free AI Visibility Scan — useful for a more domain-oriented test. It checks ChatGPT, Perplexity, Claude, Gemini, and Grok and reports whether your domain is cited, mentioned, or invisible for individual queries. fogtrail.ai
• Frase's free AI tools — particularly interesting for a docs site because it has both a page-level GEO grader and a domain-level citation checker. www.frase.io
• AI Search Visibility — lets you audit individual URLs and gives an AI-readiness score plus prioritized fixes; the free tier currently allows 5 audits/month. www.aisearchvisibility.ai
• Ahrefs Free AI Visibility Checker — better for measuring overall brand/domain visibility than individual docs, but it shows cited pages and domains across several AI search surfaces. ahrefs.com

What I'd do for a SaaS docs site

I'd not rely on a generic “AI visibility score.” Build a small benchmark around your most important docs:

Then record for each prompt:

AI → mentioned? → cited? → exact URL cited? → competitor cited instead?

That's much more actionable than simply knowing that your domain has “AI visibility.”

One important distinction: crawler/accessibility checkers aren't citation graders. For example, tools like isvisible.ai mainly test whether AI crawlers can access your site and whether things like robots.txt/llms.txt permit access. isvisible.ai They can identify a prerequisite for citation, but they don't prove that an assistant actually cites a particular doc.

If you tell me what your docs stack is (Mintlify, Docusaurus, GitBook, ReadMe, custom, etc.) and roughly how many key pages you want to monitor, I can suggest the simplest free setup for automatically grading them.

Yes. For a SaaS docs site, I’d separate “is this page AI-citable?” from “does an AI assistant actually cite this page?” The second is the more useful grader.

Free tools worth trying

• Citegrade — probably the closest match. You give it a specific docs URL + target query, and it checks ChatGPT and Perplexity in real time, showing whether your page was cited, its citation position, and which competitors were cited instead. citegrade.com

Try Citegrade

• AI Search Visibility — better if you want a page-level grading system. It scores indexability, content structure, trust, schema, and “AI citeability”; its free tier currently includes 5 audits/month. www.aisearchvisibility.ai

Try AI Search Visibility

• Frase's free AI Visibility Checker — useful for a quick domain-level check across ChatGPT, Perplexity and Gemini, plus a page-level GEO score checker. www.frase.io

Try Frase's free tools

• AuditZap — nice if your concern is whether docs are technically exposed to AI: crawler access, robots.txt, schema, semantic structure, freshness, etc. It's free with no signup. auditzap.io

Try AuditZap

What I'd use for a docs site

I'd actually build your grader around a simple citation test matrix:

For each query, record:

Cited? → Which URL? → Citation position → Was the answer actually supported by that URL? → Which competitor/docs page won?

That gives you a much more meaningful Docs AI Citation Score than a generic GEO score.

If you want something free and self-hostable, there's also an open-source MCP project called Citation Intelligence that measures which URLs get cited across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Bing, using your own API keys. github.com
Citation Intelligence on GitHub

My pick: start with Citegrade for manual testing, then turn the matrix above into your own automated grader. That would let you test your 20–100 most important docs pages against the questions your customers actually ask, rather than merely checking whether your domain has “AI visibility.”

Yes. The key distinction is “is my docs site technically citeable?” vs. “do AI assistants actually cite these specific docs when answering relevant questions?” For a SaaS docs site, I’d prioritize the latter.

A few free options worth trying:

• GEOSource — probably the closest match to your use case. It says it checks whether AI systems such as ChatGPT, Perplexity, and Claude actually cite your content, with a free no-account scan. It also gives page-level scores for answerability, citation quality, definitions, readability, and AI accessibility. geosource.ai
• FactSentry — geared specifically toward SaaS. Its free audit runs buyer-intent queries and reports citations, competitor mentions, inaccuracies, and a visibility score. factsentry.ai
• urlrank.ai AI visibility checker — useful if you want to manually supply a question such as “How do I configure X with [your product]?” and see whether ChatGPT, Claude, and Gemini mention/cite your domain. It says the free checker uses direct provider APIs. www.rank.ai
• urlFrase's free AI Visibility Checker — another easy domain-level check for whether ChatGPT, Perplexity, and Gemini cite your site. It also has a separate free page-level GEO grader. www.frase.io
• urlAuditZap's AI Visibility Checker — better for diagnosing why a docs page may not be citeable: crawler access, semantic structure, freshness, schema, question-format headings, etc. It's free with no signup. auditzap.io

What I'd do for a docs site

Don't just enter your domain and accept a generic “AI visibility score.” Build a small test set of 20–50 questions that your docs are supposed to answer, e.g.:

“How do I rotate an API key in Product X?”
“Does Product X support SAML SSO?”
“How do I handle rate limits?”
“What happens when a webhook delivery fails?”

Then run those questions periodically across the assistants and record:

That gives you a much more useful docs citation rate than a generic AI SEO score.

One important caveat: crawler/accessibility audits aren't proof of citations. For example, an audit can establish that GPTBot/ClaudeBot/etc. can access your content, but actual citation behavior is a separate measurement. isvisible.ai

If you want one free starting point, I'd try GEOSource first, then FactSentry for the SaaS/buyer-query angle. If your real goal is specifically “grade these 30 docs URLs against these 30 questions and tell me which ones AI assistants cite”, I can also suggest a lightweight way to build that yourself for essentially $0.

Yes. For a SaaS docs site, I’d distinguish between two things:

1. “Can AI access/cite this page?” — crawlability, structure, schema, etc.
2. “Does an AI assistant actually cite this page for the questions it should answer?” — much more useful for docs.

For #2, these are the free options I’d try first:

• Citegrade — probably the closest match. You give it a URL + target query and it checks ChatGPT and Perplexity in real time, including whether your page was cited and which competing sources were cited instead. It says citation checks are free and unlimited. citegrade.com
• GeoSource — free checks across ChatGPT, Perplexity, and Claude, with no account required. More focused on whether individual content is actually citable. citegrade.comgeosource.ai
• PixelMojo's Answer Engine Citation Tester — particularly relevant to docs: enter a specific page + question, and it checks whether ChatGPT, Perplexity, Claude, and Gemini cite it, plus competitor URLs. www.pixelmojo.io
• Rank.ai's free checker — lets you submit one prompt + domain and compare ChatGPT, Claude, and Gemini, including whether they cite your site. www.rank.ai
• EdenRank — useful if you want broader coverage: its free checker runs one prompt across 8 AI surfaces, including ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI surfaces. edenrank.com

What I'd use for a docs site

I'd start with Citegrade or PixelMojo, because they're testing the thing you actually care about: specific documentation pages being cited for specific questions, rather than giving you a generic “AI readiness” score.

For example, take 10–20 important docs pages and create queries like:

“How do I configure SSO in [product]?”
“How do I authenticate with the [product] API?”
“What are the rate limits for [product]?”
“How do I troubleshoot error XYZ?”

Then record:

That gives you a much more actionable “docs citation coverage” metric than an overall GEO score.

One caveat: AI answers are nondeterministic, so one successful citation isn't proof that a page is consistently cited. For anything you want to measure seriously, run the same query multiple times and track citation rate over time. Citegrade explicitly notes this variability. citegrade.com

If you tell me what your docs stack is (Mintlify, Docusaurus, GitBook, ReadMe, custom, etc.), I can also suggest a free way to automatically grade your top 20 docs pages weekly rather than checking them manually.

Yes. If your goal is specifically “do AI assistants actually cite my docs?”, rather than just “is my site GEO-friendly?”, I’d test these:

1. Citegrade — probably the closest fit. Give it a docs URL + target question, and it checks ChatGPT and Perplexity live, showing whether your page was cited and which competing pages won when it wasn't. Citation checks are currently free. citegrade.com

2. GEOSource — particularly interesting for a docs site. It does a free check across ChatGPT, Perplexity, and Claude, with a citation-readiness score and factors such as answerability, citation quality, definitions, readability, and AI accessibility. geosource.ai

3. Frase's AI Visibility Checker — quick domain-level check for whether ChatGPT, Perplexity, and Gemini cite your domain. It also has a separate page-level GEO scorer. www.frase.io

4. CitePilot — worth trying if you want to move from one-off testing toward ongoing prompt monitoring. It offers a free citation audit and tracks multiple AI platforms. getcitepilot.com

5. SiteTest.ai — less about actual citations and more about diagnosing whether your docs are technically extractable/citable. It claims 168 free checks covering crawler access, extraction, structure, etc. sitetest.ai

For a SaaS docs site, I'd do this

Don't just enter your homepage. Pick 10–20 high-value docs pages and create questions a developer would actually ask an AI assistant, e.g.:

• “How do I authenticate with Acme API?”
• “How do I handle Acme webhook retries?”
• “What's the rate limit for Acme API?”
• “How do I paginate Acme API results?”
• “How do I upload a file using Acme?”
• “What error does Acme return when a token expires?”

Then measure:

Prompt → cited/not cited → exact docs URL cited → citation position → competitor cited instead

That's substantially more useful than a generic “AI visibility score.”

If you want one free tool to start with, I'd try Citegrade first, because it tests the thing you actually care about—whether the assistant cites a particular documentation page for a particular question—rather than merely grading the page's structure. citegrade.com

One caveat: AI citation results are inherently noisy because responses can change between runs, so don't treat a single “not cited” result as definitive. Running each important prompt multiple times gives you a much more meaningful citation rate. nicklafferty.com

If your goal is specifically “do my SaaS docs pages get cited by AI assistants?”, I’d separate this into two buckets:

1. Citation testing (does an AI answer actually reference your docs?)
2. Citation readiness (are your docs structured so AI systems are likely to use them?)

Free tools I’d look at:

1. Manual “gold standard” test (free, surprisingly useful)

Create a spreadsheet of ~20–50 questions your customers ask:

• “How do I configure X in [your product]?”
• “What is the API limit for X?”
• “How do I troubleshoot error Y?”
• “Compare [your product] vs [competitor]”

Run those prompts in:

• ChatGPT with web/search enabled
• Claude with web search
• Perplexity
• Gemini

Track:

• Was your docs domain cited?
• Which page was cited?
• Was a competitor cited instead?
• Did the model answer correctly without citing anyone?

This is still the most trustworthy approach because AI citation behavior varies a lot between assistants. www.reddit.com

2. AI Search Visibility audit tools

A few free/limited options:

• AI Search Visibility — audits individual URLs for AI citation readiness and gives scores/fixes. It has a free tier. www.aisearchvisibility.ai
• FogTrail Free AI Visibility Scan — runs queries across several AI engines and reports whether your domain appears/cited. fogtrail.ai
• GrowRanko AI Search Visibility Checker — checks technical signals like crawlability, schema, and AI-oriented page structure. growranko.comno7software.co.uk

3. Build your own lightweight grader (probably best for a SaaS docs site)

For docs, I’d make a small internal tool:

Input

• Docs sitemap URL
• Top customer questions
• Competitor docs URLs

Checks

• Does an AI assistant cite your docs for the question?
• Citation rate %
• Correct page cited?
• Answer accuracy
• Missing docs topics
• Competitor citation share

Example output:

What I’d prioritize for SaaS docs

AI assistants tend to favor pages that are:

• very explicit (“To configure X, do Y”)
• structured with headings/tables
• authoritative (official docs > blog posts)
• easy to quote (short factual passages)
• updated and versioned
• internally linked

Also make sure your docs aren’t accidentally blocking AI crawlers and that your sitemap/canonical/schema setup is clean. Some graders specifically check these technical signals. growranko.comno7software.co.uk

For a SaaS docs site, I’d probably start with a 50-query citation benchmark rather than a generic “AI SEO score.” It gives you a much clearer answer: “Can customers find our docs through AI?”

If you mean “which of my docs pages are actually getting cited as sources by ChatGPT/Perplexity/Claude?”, I’d look at AI visibility / GEO (generative engine optimization) graders rather than normal SEO tools. A few free or free-tier options:

For a SaaS docs site, I’d probably build a lightweight internal grader instead of relying only on these:

1. Export your top 50–200 docs URLs (from analytics, sitemap, or search console).
2. Create a list of prompts users ask AI assistants:
   • “How do I configure [feature]?”
   • “Does [product] support [integration]?”
   • “What is the API limit for [feature]?”
3. Run those prompts periodically in:
   • ChatGPT
   • Perplexity
   • Claude
   • Gemini
4. Track:
   • Was your docs domain cited? (yes/no)
   • Which URL was cited?
   • Citation position
   • Competitors cited instead
   • Whether the answer used your docs accurately

A simple spreadsheet can get you surprisingly far because AI citation results are noisy and change between runs. Research on AI visibility measurement also notes that single-run citation checks can be unstable, so repeated sampling is more meaningful than one-off scores. arxiv.org

For a SaaS docs team, the metric I’d care about most is not “AI mentions our brand,” but:

% of high-intent support/product questions where the canonical docs URL is cited.

That catches the real failure mode: AI answers your users correctly but cites a competitor, a blog post, or an outdated page instead of your docs. citegrade.com

If you’re technical, you could also turn this into a small internal “Docs AI Citation Grader” with a sitemap crawler + prompt set + scheduled model checks. That may be a better long-term asset than paying for a dashboard.

Yes. For a SaaS docs site, I’d separate “can AI read/crawl my docs?” from “does AI actually cite my docs?” Those are different tests.

Free tools worth trying

• Citegrade — probably the closest match to what you described. Give it a specific docs URL + target query, and it checks ChatGPT and Perplexity in real time, including whether your page was cited and which competitors were cited instead. citegrade.com
• AI Grade Tool — better for grading a page's citation readiness than measuring actual citations. It gives a 0–100 score and identifies potentially quotable passages. aigradetool.com
• isvisible.ai — useful technical complement. It checks whether AI crawlers such as GPTBot, ClaudeBot and Perplexity can access your site, plus robots.txt/llms.txt. isvisible.ai
• AuditZap AI Visibility Checker — free URL-level audit covering crawler access, structure, freshness, schema, and other citation-readiness signals. auditzap.io

What I'd do for SaaS docs

Don't just enter your homepage. Build a tiny test set like:

Then map each question to the one canonical docs page you want cited.

Run those queries periodically through ChatGPT/Perplexity and record:

cited? → citation position → exact page cited → competitor cited → whether your page actually supplied the answer

That last metric is important: simply being mentioned isn't necessarily the same as your documentation being used as evidence. Recent research on generative-search measurement explicitly distinguishes citation selection from whether the cited page's content is actually absorbed into the answer. arxiv.org

If you're looking specifically for a free grader to plug into your SaaS docs workflow, I'd start with Citegrade + isvisible.ai. The former tests the outcome you care about; the latter tests a major prerequisite.

If you're building this yourself, I can also sketch a free/open-source “AI Docs Citation Grader” architecture (crawler → query set → LLM/answer-engine calls → citation extraction → per-page score) that you could run against an entire docs site.

Yes. If your goal is specifically “do AI assistants actually cite my docs?”, I’d separate that from generic GEO/SEO graders.

A few free/freemium options worth trying:

• GEOSource — probably the closest match. It offers free checks across ChatGPT, Perplexity, and Claude, including citation-oriented scoring and, for some scans, the AI responses that reference your site. geosource.ai
• Yogoo — free, no-signup AI visibility score; checks citation/visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. yogoo.ai
• CiteSite — useful if you want to grade individual docs for citation readiness rather than just measure current citations. It evaluates structure, content quality, authority signals, etc. citesite.net
• AI Search Visibility — URL-level audit with a free tier, focused on whether pages are likely to be cited by ChatGPT, Perplexity, Google AI Overviews and others. www.aisearchvisibility.ai

For a SaaS docs site, I'd test this way

Don't just enter your homepage. Build a small test set of 10–20 important docs and create prompts such as:

“How do I configure [your product] to do X?”

“Does [your product] support Y?”

“[Your product] vs [competitor] for Z?”

Then measure:

Prompt → AI answer → cited URLs → was the correct docs page cited?

That's more meaningful than a generic “GEO score.” AI citation results can also vary substantially between runs, so a single successful citation shouldn't be treated as proof of visibility. arxiv.org

If you're thinking of building your own free grader, I actually think there's a nice product gap here: “Paste your docs sitemap → we identify your key pages → generate realistic questions → test them across AI engines → show citation rate per URL.” That would be much more actionable for SaaS documentation than another 0–100 GEO checklist.

If you mean a free “AI citation visibility grader” for a SaaS docs site — something that checks whether ChatGPT, Claude, Gemini, Perplexity, etc. mention or cite your docs when answering product questions — there are a few approaches:

Ready-made tools (free tiers / trials)

• Ahrefs AI Visibility tools — useful for tracking brand visibility in AI-generated answers (mostly SEO-oriented).
• Semrush AI Visibility tools — similar, with AI search monitoring features.
• Profound AI visibility platform — focused specifically on how brands appear in AI answers (often more enterprise-oriented).
• Otterly.AI — tracks AI search mentions and citations.

For a SaaS docs site, though, many of these are more “brand visibility” than “are my docs the cited source?”

DIY free grader (often better for docs)

A lightweight grader can work like this:

1. Collect your important docs
   • /docs/getting-started
   • /docs/api/authentication
   • /docs/integrations/slack
   • /docs/troubleshooting/...

2. Create test prompts

Examples:

• “How do I authenticate with [Product] API?”
• “How do I configure [feature]?”
• “What are the limits of [product]?”

3. Run prompts through assistants
   • ChatGPT
   • Claude
   • Gemini
   • Perplexity

4. Score each answer

Example rubric:

5. Track regressions

A simple spreadsheet can show:

• prompt
• model
• cited URL
• citation accuracy
• date tested

If you want to build this into your SaaS

A compelling free “AI Docs Citation Grader” could output:

AI Readiness Score: 72/100

Checks:

• ✅ Docs are crawlable
• ✅ Pages have canonical URLs
• ✅ API examples are machine-readable
• ✅ FAQ answers appear in AI responses
• ❌ Authentication docs are rarely cited
• ❌ Error troubleshooting pages are missing structured answers

Useful technical checks:

• robots.txt accessibility
• sitemap coverage
• structured data
• headings/question-answer formatting
• code block clarity
• duplicate docs detection
• freshness dates

For SaaS docs specifically, I’d probably build a small internal grader first rather than rely on SEO suites: AI citation behavior changes quickly, and your customers likely care about “does the assistant recommend the right docs page?” rather than generic AI visibility.

If you’re thinking of making this a lead magnet for your docs platform, a free URL-based grader could actually be a strong acquisition tool.

Yes. If your goal is specifically “do AI assistants cite my actual documentation pages?”, I’d separate the tools into two categories:

Best free options to try

1. AI Search Visibility — probably the closest match. You can audit individual URLs and get an AI-readiness score plus prioritized fixes. The free tier currently offers 5 URL audits/month. www.aisearchvisibility.ai

2. Loamly AI Visibility Checker — better if you want to test actual buyer questions. It runs 50 prompts across ChatGPT, Claude, Perplexity, and Gemini and reports mentions, competitors, and citations. www.loamly.ai

3. Ahrefs AI Visibility Checker — very easy for a quick brand-level check; no signup required. It tests visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. ahrefs.com

4. SiteTest AI Visibility Checker — useful if you care more about whether your docs are technically citation-ready. It checks access, extraction, structure, and citation-worthiness, with a free A–F audit. sitetest.ai

5. AuditZap AI Visibility Checker — another good free technical checker. It checks things like AI crawler access, robots.txt, llms.txt, semantic structure, freshness, and citation signals. auditzap.io

But for a SaaS docs site, I'd test differently

A generic “is my brand visible?” score isn't quite what you want. I'd create a small docs citation grader around your key pages:

Then run 5–10 variations of each important question, rather than trusting one AI response. That's important because AI citation results are stochastic; research has found substantial variation between repeated runs of the same query. arxiv.org

If you're thinking of building this as a free grader for your own site, I actually think there's a nice product-shaped gap here: “Paste your docs URL → enter 5–10 key questions → we'll tell you which docs pages AI assistants actually cite.” That's much more actionable for SaaS documentation teams than a generic GEO score.

If your goal is "Can AI assistants find and cite my documentation?", there are a few good free or freemium options. None is perfect, but together they give a solid picture.

If you're specifically trying to determine whether individual documentation pages are being used as sources, I'd also recommend building a lightweight test harness yourself. It's surprisingly effective:

1. Pick 20–50 high-value docs pages.
2. Write 5–10 realistic questions each page should answer.
3. Query multiple assistants (ChatGPT, Claude, Gemini, Perplexity).
4. Record:
   • Was the answer correct?
   • Did it cite your docs?
   • Which URL?
   • Was another source preferred?
5. Repeat weekly to see trends.

This often reveals more than an overall "AI SEO score" because you'll find pages that are:

• never retrieved,
• retrieved but not cited,
• cited only by certain assistants,
• or consistently outranked by competitors.

For an automated, free workflow, you can also:

• Keep your prompts in a spreadsheet or JSON.
• Use APIs where available to run them on a schedule.
• Compare responses over time with a simple script.
• Score pages based on citation rate and answer accuracy.

For SaaS documentation, I'd optimize for metrics like:

• Citation rate (% of prompts that cite your docs)
• Correct answer rate
• Preferred URL (which page gets cited)
• Freshness (how quickly updates appear in AI answers)
• Competitor displacement (whether your docs replace third-party blogs)

If you're interested, I can also suggest an open-source evaluation framework (using Python and LLM APIs) that grades 100+ documentation pages automatically and outputs a dashboard.

If your goal is specifically "Are my docs actually being cited or used by AI assistants?", there are a few good free (or generous free-tier) options.

For documentation sites, I'd also recommend building a lightweight custom grader because the public tools mostly focus on brands, not specific docs pages.

A simple workflow:

1. Pick 20–50 high-value documentation URLs.
2. Generate 5–10 realistic questions each page should answer.
3. Query multiple assistants (ChatGPT, Gemini, Claude, Perplexity, etc.).
4. Record:
   • Was your documentation cited?
   • Was the correct URL cited?
   • Was the answer accurate?
   • Was another site's docs used instead?
5. Compute scores like:
   • Citation rate
   • Correct citation rate
   • Answer accuracy
   • Competitor share of citations

For example:

If you're comfortable writing a bit of code, you can automate this with:

• An LLM API to generate test questions from each doc page.
• Browser automation (or APIs where available) to collect responses.
• An LLM-as-judge to score factual correctness.
• A dashboard showing citation coverage over time.

This ends up being more actionable than a single "AI visibility score" because it tells you which documentation pages are being ignored and which questions consistently fail. Many SaaS companies use a similar approach as a regression test whenever they update documentation or launch new features.

If your goal is "Can AI assistants find and cite the documentation pages I care about?", there are a few good free or mostly free approaches.

1. Open-source AI visibility graders (my top recommendation)

• llms.txt Checker – Verifies whether your llms.txt and related files are present and valid. This doesn't measure citations directly, but it's a good baseline for AI discoverability.
• Open WebUI + scripted evaluation – You can automate prompts against different models and check whether they cite specific URLs.
• DeepEval (open source) – Built for LLM evaluation. You can create tests like:
  • "How do I configure webhooks in Product X?"
  • Pass if the response cites /docs/webhooks.
  • Fail if it hallucinates or cites an outdated page.

2. A simple DIY grader (free)

This is surprisingly effective.

1. Create 20–50 representative support questions.
2. For each question:
   • Query ChatGPT, Claude, Gemini, Perplexity, etc.
   • Record:
     • Did it answer correctly?
     • Did it cite your docs?
     • Which URL?
     • Was it the preferred page?
3. Compute metrics such as:
   • Citation rate
   • Correct page rate
   • Hallucination rate
   • Average ranking of your cited page

A spreadsheet is enough to start.

3. Promptfoo (free/open source)

Promptfoo is one of the best evaluation frameworks.

You can define tests like:

- prompt: How do I rotate API keys?
  assert:
    - contains: /docs/security/api-keys

or use regexes to verify expected citations.

It's designed for regression testing, so you can rerun it after documentation updates.

4. DeepEval

DeepEval lets you score:

• faithfulness
• retrieval quality
• correctness
• citation accuracy

If you already have a RAG pipeline, it's excellent. Even without one, you can adapt it to test public AI assistants.

5. Build a crawler + evaluator

Many SaaS documentation teams now:

• Crawl their docs
• Generate hundreds of realistic support questions
• Ask multiple AI assistants
• Score:
  • Was the answer correct?
  • Which URLs were cited?
  • Were citations current?
  • Was the newest documentation preferred?

This can be done with a few hundred lines of Python using Playwright plus an LLM API for grading.

If you specifically care about AI search visibility

Track these metrics over time:

Free stack I'd recommend

• Promptfoo for test orchestration
• DeepEval for evaluation
• A Python script to query multiple assistants
• A spreadsheet or dashboard to trend citation rates over time

This gives you a repeatable "AI documentation SEO" benchmark without paying for a commercial platform.

If you're looking for something closer to Google Search Console for AI, there are newer commercial products (such as Profound, Goodie, Peec AI, and Scrunch AI), but they generally aren't free. For most SaaS teams, an open-source Promptfoo/DeepEval setup provides much of the same validation at essentially no cost.

If your goal is specifically "Are my documentation pages being used and cited by AI assistants?", there are a few good free or freemium approaches.

1. AI Search Grader (free tier)

HubSpot AI Search Grader

Pros:

• Free
• Checks how your brand appears across major AI search systems
• Gives visibility and citation-style recommendations

Cons:

• More brand-focused than page-by-page documentation coverage.

2. Profound (limited/free demos)

Profound

Designed for:

• AI visibility
• Citation tracking
• Competitive comparisons

It's one of the better enterprise tools, though the full product is paid.

3. Goodie AI

Goodie AI

Tracks how LLMs answer prompts and whether your content is represented. Depending on current offerings, there may be a free trial or limited plan.

4. Manual benchmark (surprisingly effective)

Create a spreadsheet with:

• 20–50 important documentation pages
• 50 representative user questions

Then periodically query:

• ChatGPT
• Gemini
• Claude
• Perplexity
• Copilot

Record:

• Was your product mentioned?
• Was the correct doc referenced?
• Was a URL cited?
• Was the answer accurate?

This often gives more actionable insight than automated scores.

5. Build your own free grader

For SaaS documentation, this can work well:

1. Export your key docs and canonical URLs.
2. Create a list of representative prompts (for example, "How do I configure OAuth in Product X?").
3. Query several AI assistants via APIs where available.
4. Score:
   • Correct product identified
   • Correct documentation page cited
   • Canonical URL used
   • Answer accuracy
   • Ranking if multiple sources are mentioned

You can run this weekly in GitHub Actions at little to no cost if you keep the test set modest.

6. Watch your server logs

Many AI crawlers identify themselves. Monitor requests from:

• ChatGPT-User
• OAI-SearchBot
• ClaudeBot
• PerplexityBot
• Google-Extended

Crawler traffic doesn't prove your docs are cited, but it helps confirm they're being discovered and indexed.

My recommendation

For a SaaS docs site, I'd combine:

• HubSpot AI Search Grader for a quick visibility snapshot.
• A custom benchmark with 50–100 prompts tied to your most important docs.

A custom benchmark is repeatable, inexpensive, and measures exactly what matters: whether AI assistants actually reference the documentation pages you care about, rather than just mentioning your brand. If you're comfortable with a bit of scripting, it's possible to build a useful grader in a few hundred lines of Python or TypeScript and run it automatically on a schedule.

If you mean a free “AI visibility grader” for a SaaS documentation site — something that checks whether ChatGPT, Claude, Gemini, Perplexity, etc. are likely to cite your docs — there are a few approaches.

Free / freemium tools worth trying

1. Ahrefs Webmaster Tools
   • Good for the foundation: crawlability, indexing, backlinks, technical issues.
   • Not specifically “AI citations,” but AI assistants often rely on the same discoverability signals.

2. Google Search Console
   • Free and essential.
   • Check whether your docs are indexed, which pages get impressions, and whether important docs are discoverable.

3. Bing Webmaster Tools
   • Useful because Bing’s index is used by some AI search experiences.

4. Perplexity (manual testing)
   • Create a test set of questions your customers ask:
     • “How do I authenticate with [product]?”
     • “How do I configure webhooks?”
     • “What are the API rate limits?”
   • Record:
     • Was your domain cited?
     • Which page?
     • Was the answer accurate?
     • Were competitors cited instead?

5. Lighthouse
   • Free technical grader.
   • Helps identify issues that can prevent crawlers/AI systems from understanding docs.

If I were building a simple free internal grader for a SaaS docs site

A useful MVP could be:

Input

• Docs domain
• 20–50 customer questions
• Competitor domains (optional)

Checks

• ✅ Is the page indexed?
• ✅ Does the page answer the query directly?
• ✅ Does the page contain structured metadata?
• ✅ Does the page have headings matching user intent?
• ✅ Does an LLM answer cite the page?
• ✅ Which competitors get cited instead?

Output

AI Citation Score: 72/100

Top cited docs:
✓ /docs/authentication
✓ /docs/webhooks

Missing citations:
✗ /docs/rate-limits
  Reason: competitors explain limits more explicitly

Fix:
Add a dedicated "Rate limits by endpoint" table

A lot of current “GEO/AEO” tools focus on brand mentions rather than developer docs citation coverage, so for a SaaS docs site I’d lean toward building a lightweight crawler + prompt test harness rather than relying on a generic SEO grader.

If you want existing SaaS-focused tools, look at:

• Otterly.AI
• Profound
• Peec AI

They are more AI-search visibility oriented, though their free tiers/features may vary.

For a docs site specifically, I’d start with a spreadsheet of 50 support questions + weekly Perplexity/ChatGPT checks before paying for a platform.