Free AI Search Readiness Audit

Free AEO Checker: Test Your AI Search Readiness

Find technical issues that stop ChatGPT, Google AI, Gemini, Claude, Perplexity, and Bing from understanding your pages — schema, answer-first structure, crawlability, and trust signals.

What does this tool do? Paste a public URL (or draft text) and get a weighted 0–100 AEO readiness score—schema, headings, crawlability, and trust signals that help answer engines extract and cite your page. It is a diagnostic heuristic, not a ranking or citation guarantee.

Weighted from official platform documentation and peer-reviewed research, not AEO folklore: SEO foundations, search-crawler access, and the evidence signals a published study actually measured carry real weight. Training-only crawler rules never cost you points, and deprecated extras like FAQ or HowTo markup stay small bonuses.

AEO connects your site to Google, ChatGPT, Perplexity, Gemini, Claude, Bing AI search AEO visibility

Enter any public page URL — we'll fetch and analyse it.

Plain copy from the page for readability scoring, or paste “View source” HTML to include JSON-LD / schema checks (same as URL mode).

3 free checks left today

Free · No account needed · Most public pages finish in under a minute

AI search audit · AEO & GEO on-page signals · Schema checker · Answer-engine content structure · Classic SEO foundations included · Free core check

What this AEO Readiness Checker analyzes

  • Weighted AEO Readiness Score

    See how well answer engines can extract and cite your page—schema, structure, and clarity in one score.

  • Technical SEO Audit

    On-page technical SEO audit for Google, Bing, and Yandex—canonicals, robots, HTTPS, and crawl basics.

  • Content Insights

    Get actionable tips to improve headings, FAQs, and clarity.

  • Export Report Pro

    Download a detailed PDF report with Pro access.

Simple process

How to use this checker

  1. Enter URL

    Paste your page URL to start the analysis.

  2. We Analyze

    Our AEO checker runs a website AI audit—technical SEO, schema checker signals, and AI crawlability.

Understanding your AEO readiness score

A weighted 0–100 AI readiness score — how confidently answer engines can fetch, parse, and reuse your page.

When you run this free AEO checker, you receive a weighted 0–100 score. Think of it as an AI readiness score: how confidently AI search engines can fetch, parse, and reuse your page—not a guaranteed ranking or citation promise.

The AEO readiness score blends technical crawl signals, content structure, schema validity, and trust cues into one number so you can prioritize fixes. Category breakdowns in the full report show whether schema, content, technical crawl, or authorship needs work first. Pro unlocks deeper citation and entity analysis.

90–100

Excellent AEO readiness

Strong machine-readable structure, trustworthy authorship, and citation-friendly content. Maintain as AI templates and retrieval rules evolve.

70–89

Good foundation, optimization opportunities

Solid answer-engine hygiene. Refine entity clarity, FAQ coverage, internal links, and freshness to compete in competitive AI search queries.

50–69

Limited AI understanding

Readable for humans but weak or inconsistent signals for AI systems. Prioritize schema, heading hierarchy, and clear answer-first paragraphs.

Below 50

Major improvements needed

Structural, crawl, or trust gaps create high risk of being skipped or misinterpreted by AI summaries and answer engines.

Treat the bands as a triage map: excellent pages need maintenance as AI templates change; mid-range pages usually win the most from FAQ schema and answer-first intros; fragile pages need crawl and structure fixes before content polish.

What this score does not measure

This is a readiness audit, not a live visibility monitor. It scores your page's own schema, structure, and crawlability — the same signals answer engines use when deciding whether to fetch and cite a page. It does not query ChatGPT, Gemini, or Perplexity live to check whether your brand is currently being mentioned or recommended; that is a separate, ongoing monitoring job, not something a one-off URL scan can answer. Pro adds optional citability probes that ask real AI-search-style questions for a snapshot of that separate signal.

How we weight signals — and why most AEO checkers get this wrong

Most "AI SEO" scores treat every signal as a ranking factor. Most are not. This checker sorts every signal into one of five classes based on what the evidence actually supports — Google's July 2026 guidance on what generative AI features on Search really use, each AI vendor's own crawler documentation, and the one peer-reviewed study that measured which content changes move generative-answer visibility. You can see exactly which class each finding belongs to in your report.

Signal classes, how much weight each carries, and the documentation behind that decision
Signal class Weight here What it covers Why that weight
Proven SEO foundation Heaviest weight Indexable, crawlable, snippet-eligible pages; helpful non-commodity content; clear headings; good page experience. Google states its generative AI features are "rooted in our core Search ranking and quality systems," and that a page "must be indexed and eligible to be shown in Google Search with a snippet" to appear in them. This is the only category with documented, first-party impact — so it carries the most weight.
Independently researched signals Real weight — study-backed Verifiable statistics, credible quotations, outbound citations to primary sources. The Princeton "GEO: Generative Engine Optimization" study (Aggarwal et al., ACM SIGKDD 2024) benchmarked around 10,000 queries and found adding statistics, quotations, and cited sources produced the largest measured gains in generative-answer visibility — while keyword stuffing produced negligible or negative effects. This is the rare AI-search signal with a published, reproducible experiment behind it, so it is scored on its own rather than folded into vague "content quality".
Search-facing AI crawlers Blocking penalty robots.txt access for OAI-SearchBot, Googlebot, Claude-SearchBot, PerplexityBot. These are the crawlers each vendor documents as powering live search answers and citations. Blocking one removes your page from that engine's answers — a real, verifiable consequence, so it costs points.
Training-only crawlers Informational — no penalty robots.txt rules for GPTBot, Google-Extended, ClaudeBot. Each vendor documents these as governing model-training data use, not current search visibility. Blocking them is a legitimate business choice with no documented effect on whether you get cited today — so this checker reports it and moves on, instead of scaring you into "fixing" it.
Optional / experimental signals Small bonus at most llms.txt, Speakable markup, FAQPage / HowTo JSON-LD. Google states plainly: "Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add," and that it ignores llms.txt entirely. FAQ and HowTo rich results are both deprecated. These can still help other systems parse your page, so they earn a small bonus — never a penalty, and never the headline fix.

One consequence worth stating plainly: no tool — including this one — can see inside Google's ranking or any vendor's AI systems. Google itself warns to "be wary of third-party tools that promise ranking success or claim to use 'internal' Google metrics." This score is a readiness heuristic built from public documentation and your page's own HTML. Treat any tool that claims more than that with suspicion.

How does the AEO checker work?

Rule-based analysis plus optional AI commentary — the same signal groups that produce your score.

This AI search audit tool combines rule-based analysis with optional AI commentary. Below is our analysis framework—the same signal groups that produce your score.

Our analysis framework

Can AI bots reach your page?

  • Crawlability — robots meta, canonical, HTTPS, fetch eligibility
  • Indexability — no accidental noindex, consistent URL signals
  • Page speed & mobile readiness proxies
  • Technical SEO audit basics that affect classic and AI retrieval

Can AI tell what your page is about?

  • Answer-first structure — lead paragraphs that answer the query directly
  • Heading hierarchy — one H1, logical H2/H3 outline
  • Semantic coverage — depth, readability, and topic completeness
  • Entity clarity — who, what, where without ambiguous pronouns

Is your structured data accurate?

  • Article, Organization, and industry graphs (Product, LocalBusiness, Medical) where they fit
  • Valid, connected graphs — not entity-only stubs
  • Optional: FAQPage / HowTo JSON-LD — both rich results are deprecated, so these are small bonuses
  • Optional: Speakable markup — Google documents it as beta, US English news content only

Can AI easily quote your content?

  • Evidence density — statistics, quotations, outbound citations (the study-backed signals)
  • Search-crawler access — OAI-SearchBot, Googlebot, Claude-SearchBot, PerplexityBot (blocking one costs points)
  • Training-only crawlers (GPTBot, Google-Extended, ClaudeBot) — reported, never penalised
  • Citation potential — trust, authorship, freshness, hreflang, alt text, brand-entity consistency

Sample: what a stronger AEO page looks like

Illustrative scores from a live URL check pattern — not a promise for your site. Real totals depend on schema, answer structure, entities, and crawlability.

Before 48
After focused fixes 81 +33 pts (sample)
  • Before: thin lead paragraph, no FAQPage, weak entity links.
  • After: answer-first lead, FAQ schema with real Q&A, clearer Organization/Person markup.
  • Next: publish, re-check the live URL, then monitor weekly if the page matters commercially.

Sample only. Scores are diagnostic heuristics, not rankings or AI citation guarantees.

What strategies improve brand visibility in AI search engines?

After your AI search audit, work through these fixes in order of impact. Each item maps to categories in the full report.

Four foundational moves

Ship extractable schema

FAQPage, Article, and Organization in one connected @graph — build it free.

Lead with the answer

Put a direct definition or answer in the first 40–60 words of money pages.

Name entities clearly

Repeat brand, product, and author names consistently in H1, intro, and schema.

Allow the right AI crawlers

robots.txt matters more than most sites realize: OAI-SearchBot (not GPTBot) drives ChatGPT Search citations, and Claude-SearchBot / Perplexity-User have their own separate rules.

Prioritized action checklist

  1. Add FAQ schema to high-intent pages Pair visible FAQs with valid FAQPage JSON-LD so AI systems can extract Q&A pairs reliably. Build a connected graph with the free JSON-LD @graph Generator.
  2. Add verifiable statistics to your key claims The single largest measured gain in the Princeton GEO study. Replace "significantly faster" with "38% faster"; date your figures and name their source so a model can quote them safely.
  3. Quote a credible source, and cite it outbound Quotations and citations to primary sources both measured as strong gains in the same study. A blockquote with attribution plus a link to the original documentation is the highest-value paragraph you can add.
  4. Write answer-first introductions Open with a direct answer in the first 40–60 words — the pattern featured snippets and AI Overviews prefer.
  5. Fix heading hierarchy One H1, logical H2/H3 outline, no skipped levels — easier for models to chunk your page.
  6. Publish Organization + author schema Reduce ambiguity about who stands behind the content — critical for YMYL and AI attribution. Use Person + Organization mode in the JSON-LD @graph Generator.
  7. Replace scattered schema with one @graph Isolated JSON-LD scripts rarely link WebPage → author → Organization. Rebuild one connected @graph with stable @id nodes in the free generator, then re-check this page.
  8. Audit robots and canonical tags Ensure AI crawlers and search bots can fetch the URL you want cited.
  9. Add speakable markup only if it genuinely fits Niche, optional enhancement — Google documents Speakable as beta, scoped to English-language, US news-style content on Google Assistant. Most sites can skip it.
  10. Optionally add llms.txt for non-Google AI agents Google has stated Search does not use llms.txt for ranking or AI Overviews. Some other AI agents may read it as an experimental site guide — treat it as a minor, optional signal, not a core fix. Generate one with the free llms.txt Generator.
  11. Build entity-rich “about” and author pages GEO-style brand signals: link authors, organizations, and topical hubs consistently.
  12. Target ChatGPT & Perplexity citation patterns Use comparison tables, definitions, and cited statistics — formats AI search engines reuse.
  13. Run monthly AI search audits Re-check money URLs after template or content changes — scores drift as pages evolve.

What is AEO (Answer Engine Optimization)?

Optimizing content so AI answer engines can understand, extract, and present your information accurately.

Definition

Answer Engine Optimization (AEO) is the practice of structuring and improving digital content so search and AI answer systems can retrieve, understand, attribute, and present it accurately. It combines direct answers, clear entities, trustworthy evidence, crawlable pages, and machine-readable schema; it does not guarantee rankings, citations, or inclusion in generated answers.

Classic SEO optimizes for ranked links in Google and Bing. AEO optimizes for answers—featured snippets, Google AI Overviews, ChatGPT Search, Perplexity, Gemini, voice assistants, and any interface that synthesizes sources instead of showing ten blue links.

This free tool scores that readiness for any public URL in seconds—no account required.

For the full methodology, read the Complete AEO Guide. For brand-level citation strategy, see Generative Engine Optimization (GEO).

AEO vs GEO: What's the Difference?

Honestly: these two overlap far more than the industry admits, and neither is an official term — Google's own guidance uses neither word. AEO is the older marketing label from the featured-snippet and voice-search era. GEO is newer and, unusually, has a real academic origin: a 2024 ACM SIGKDD paper defining generative engines and measuring what actually changes their answers. The useful distinction is scope, not doctrine.

This checker covers page-level answer readiness plus the on-page half of GEO — including the evidence signals that study measured. Full GEO also needs brand mentions, entity graphs, and ongoing monitoring across engines, which no single URL scan can tell you.

Comparison of Answer Engine Optimization and Generative Engine Optimization
AEO GEO
Goal Become the answer Become the cited source
Focus Your page Your brand ecosystem
Signals Structure, headings, schema, extractable answers Evidence density, authority, mentions, entities, knowledge graph
Example query “What is LASIK?” “Best LASIK clinics in Turkey”

Learn more in our GEO optimization guide. Use this tool for page-level AEO; use AEO Tracker (Pro) for weekly score monitoring on URLs you care about.

Verified live scan vs paste mode

Two input modes, two trust levels. Paste is useful for drafts; only a public URL fetch is a verified live-page score.

Preferred

Verified live scan

  • We fetch the public URL with SSRF-safe networking.
  • Schema, robots headers, and on-page signals come from the live response.
  • Full score range applies (subject to free daily limits).
Draft mode

Paste / self-reported

  • You supply HTML or text — we do not claim it matches a live URL.
  • Schema and FAQ points are capped; origin probes (llms.txt, robots, CWV) are skipped.
  • Use for drafts and View Source experiments, then re-check the published URL.

How this stack compares (methodology)

Public positioning — not a paid bake-off. We measure on-page AI-search readiness; classic SEO suites measure different jobs.

Job Maksut tools Typical SEO suite AlsoAsked-style
On-page AEO / AI visibility score Primary — schema, FAQ, answer-first, GEO probes Secondary / partial Not the focus
Keyword research & SERP clusters Content Gap outlines (AI-assisted) Primary strength Question graphs
Live URL fetch + paste draft modes Both — paste capped & labelled self-reported Usually crawl / project URLs N/A
Ranking / citation guarantees None — diagnostic heuristics only None (honest vendors) None

Re-run the same public URL here after changes. Third-party tools remain useful for keyword and SERP research; this stack is built for AI-search page readiness.

Frequently asked questions

What is an AEO score?
An AEO score is a heuristic 0–100 summary from this AEO Readiness Checker for how well a public page signals structure, trust, and machine-readable facts. Those signals matter for Answer Engine Optimization (AEO) and when AI-assisted search summarizes or cites sources. It is not an official ranking, visibility, or citation score from any platform.
Is AEO the same as traditional SEO?
No. Classic SEO optimizes for ranking and clicks in search results (Google, Bing, Yandex). AEO and AI SEO overlap on technical quality and clarity, but emphasize schema, headings, FAQs, entity clarity, AI crawlability, and citation-friendly writing so AI systems can quote you accurately.
Is AEO replacing SEO?
No. AEO and AI search optimization extend SEO—they do not replace it. You still need crawlable, fast, trustworthy pages. See our AEO vs SEO guide or SEO & AEO services for how both work together.
Does this AI visibility checker work with ChatGPT?
Yes, for on-page readiness. The checker evaluates structure, schema, and content signals that ChatGPT Search and similar systems use when selecting sources. It never queries ChatGPT live — not on the free tier and not on Pro. Pro adds an optional citability probe that runs one search-style question through Claude's live web search and reports whether your URL came back as a source; that samples one engine at one moment, and no tool here claims to see inside ChatGPT.
How can I improve my AI search visibility?
Start with what research actually measured: add verifiable statistics, quote credible sources, and cite primary sources with outbound links. Then confirm search-facing AI crawlers are not blocked in robots.txt, write answer-first intros, and fix heading hierarchy. Re-run this audit after changes. For brand-level citation tracking across engines, pair on-page work with ongoing AI search monitoring.
Is AEO the same thing as GEO?
They overlap heavily and neither is an official term — Google's own guidance uses neither word. AEO is the older label from the featured-snippet and voice-search era, meaning "be the direct answer". GEO comes from a 2024 ACM SIGKDD paper that defined generative engines and measured what changes their answers. In practice the useful split is scope: AEO is page-level answer readiness, GEO adds brand-level authority, mentions, and entity signals. This checker covers page-level readiness plus the on-page half of GEO, including the evidence signals that study measured.
What is GEO optimization?
Generative Engine Optimization (GEO) focuses on making your brand the cited source across AI answers—through entity authority, mentions, and knowledge-graph signals. Read our GEO optimization guide. This checker includes on-page GEO signals; full GEO needs brand monitoring beyond one URL.
Does Google AI Overview use the same ranking factors as classic search?
Mostly yes. Google has stated AI Overviews and AI Mode run on the same core Search ranking systems — there is no special AEO markup, schema, or AI-only file required to appear in them. Structured data still improves machine-readable clarity and helps with regular rich results, and extractable, well-structured, trustworthy passages remain easier for any system to reuse — but that is normal SEO and content quality, not a separate "AEO ranking factor."
Will a high score guarantee top 3 rankings or AI recommendations?
No tool can guarantee positions in Google, Bing, or Yandex, or that ChatGPT or Perplexity will recommend a specific site. Rankings depend on competition, backlinks, history, and query intent. This checker tool helps you improve discoverable, trustworthy signals—one input to a broader strategy.
Is this AEO readiness checker free?
Yes. Paste any public URL into the form at the top of this page — no account required — and get an instant AEO score plus category breakdowns for schema, headings, technical crawl, and trust signals. I sometimes offer an optional email for a fuller report; that step is never required to see your score. Pro unlocks deeper citation analysis.
How does the tool analyse my page?
For URLs, the AEO Readiness Checker requests your HTML over HTTPS like a lightweight crawler, parses the document, and runs a combined technical SEO and schema pass: JSON-LD, headings, robots/canonical hints, crawlability proxies, readability, and trust cues—then optional AI commentary. Pages that block bots or require JavaScript-only rendering may score lower or fail to fetch.
How do I know if GPTBot or other AI crawlers are blocked?
The checker parses robots.txt for the crawlers that actually matter for citations: OAI-SearchBot, Googlebot, Claude-SearchBot, and PerplexityBot determine whether that engine can cite your page today. Training-only crawlers like GPTBot, Google-Extended, and ClaudeBot are a separate data-use choice that does not affect current AI-search visibility — only a blocked search-facing crawler is flagged as a fix.
Does adding an llms.txt file improve AI search visibility?
It may help systems that choose to follow the proposed convention prioritize your key pages, but it is not a ranking or citation guarantee, and adoption varies by AI vendor. This checker's Pro tier checks for an llms.txt file as one AI-readiness signal alongside schema, crawlability, and content structure — not a replacement for those fundamentals.
Does the checker tool evaluate voice search readiness?
It checks JSON-LD for SpeakableSpecification or a non-empty `speakable` property, which Google documents for eligible news-style and other content. It does not invoke voice assistants or measure audio quality—only structured-data and content-structure signals that support voice-oriented results where Google supports them.
Can I check pages behind a login or paywall?
Generally no. The URL mode needs a publicly reachable HTML response. Use “Paste text” for private drafts if you do not want to publish them yet.
How is this different from Lighthouse or PageSpeed Insights?
Lighthouse focuses on performance, accessibility, and Core Web Vitals. This AI visibility checker adds AEO-specific checks: structured data and schema checker signals, heading outline, FAQ/HowTo patterns, E-E-A-T-style trust, and content structure for answer engines—not just speed. For hands-on help, see SEO & AEO services.
What data is stored when I run a check?
The site may cache anonymised fetch results briefly to protect server resources and may store optional lead emails if that feature is on. Do not submit secrets or personal data in URLs or pasted content.
Does this AEO checker cover Google AI Overviews, ChatGPT, Bing, and Perplexity?
The on-page audit measures signals that matter across AI search optimization: schema and entity clarity for Google AI Overview optimization, extractable answers for ChatGPT search optimization, technical and crawl basics for Bing AI optimization, and citation-friendly structure for Perplexity optimization. It never queries those engines live — not on the free tier and not on Pro. Pro adds deeper analysis plus an optional probe that samples one live Claude web search. Anyone promising live ChatGPT or Perplexity citation data from a URL scan is overselling.
Who maintains this AEO checker tool?
The AEO Readiness Checker is built and maintained by Maksut as part of hands-on AI SEO, Answer Engine Optimization, and WordPress engineering. For strategy beyond an automated website audit, see the SEO & AEO services page or get in touch via contact.
How do AI search engines decide what to cite?
Most AI answer engines retrieve eligible pages, rank passages by relevance and trust, then synthesize an answer with citations. Clear entities, extractable definitions, FAQ/HowTo structure, and valid schema make your passages easier to select — which is what this checker measures on-page.

Why trust this AI search audit tool?

The AEO Readiness Checker is built and maintained by Maksut—WordPress engineering, technical SEO, and AEO implementation in production sites, not slide decks. Read about Maksut or explore SEO & AEO services for hands-on help beyond an automated score.

Scores are transparent heuristics—not official Google, Microsoft, or AI vendor ratings. Methodology is documented on this page; limitations are stated openly. For regulated or YMYL industries, validate recommendations with a human expert.

Need deeper 9-dimension analysis, PDF export, or weekly tracking? Compare AEO Pro plans — separate from MiniSEO Pass toolkit credits.

Fetch behaviour, score caveats, external documentation

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