AEO Readiness Score
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.
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).
No spam. One email with your detailed AEO report.
Unlocks deeper 9-dimension analysis, priority-ranked fixes, and PDF export. Get Pro access →
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Signal breakdown
Derived from this page analysis; these bars are not live rankings, traffic, or citation measurements.
Top recommendations
About this score
- Derived from static on-page analysis.
- Not a live ranking, traffic, or citation metric.
- E-E-A-T and content quality assessed heuristically.
- Scores are out of 100 per category.
Share your score
Spread the free checker — posts include a UTM-tagged link so others can run their own audit.
Detailed analysis
Full AEO report
Category scores, prioritized fixes, and next steps based on this page scan.
Category breakdown
Weighted on-page signals that make up your readiness score.
Priority recommendations
Highest-impact fixes first — sorted by weak categories and weight.
One-time AI citability probe
Agency / Tracker: run one search-style question through Claude’s live web search and see whether this URL comes back among the sources. It samples one engine at one moment — it is not continuous brand or citation monitoring, and it does not query ChatGPT, Gemini, or Perplexity.
Weekly AEO score tracking
Tracker plan detected. Track this URL (or another one) and get a weekly email with your score and what changed — set up yourself, no email coordination needed.
From findings to fixes
Which improvements matter for your business?
This score is a diagnostic starting point, not evidence of rankings or AI citations. Share your page URL and the finding you want help with. I can scope a technical review and implementation before any paid work begins.
Discuss these findings → Explore AI SEO services →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
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Weighted AEO Readiness Score
See how well answer engines can extract and cite your page—schema, structure, and clarity in one score.
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Technical SEO Audit
On-page technical SEO audit for Google, Bing, and Yandex—canonicals, robots, HTTPS, and crawl basics.
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AI Search Optimization
AI SEO signals: schema checker results, entity clarity, AI crawlability, and citation-friendly structure.
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Content Insights
Get actionable tips to improve headings, FAQs, and clarity.
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Export Report Pro
Download a detailed PDF report with Pro access.
Simple process
How to use this checker
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Enter URL
Paste your page URL to start the analysis.
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We Analyze
Our AEO checker runs a website AI audit—technical SEO, schema checker signals, and AI crawlability.
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Get Your Score
Receive your AEO score and detailed category breakdown.
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Prioritize improvements
Use the findings to prioritize clearer content, schema, entity, and crawlability improvements.
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.
Excellent AEO readiness
Strong machine-readable structure, trustworthy authorship, and citation-friendly content. Maintain as AI templates and retrieval rules evolve.
Good foundation, optimization opportunities
Solid answer-engine hygiene. Refine entity clarity, FAQ coverage, internal links, and freshness to compete in competitive AI search queries.
Limited AI understanding
Readable for humans but weak or inconsistent signals for AI systems. Prioritize schema, heading hierarchy, and clear answer-first paragraphs.
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 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: 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
FAQPage, Article, and Organization in one connected @graph — build it free.
Put a direct definition or answer in the first 40–60 words of money pages.
Repeat brand, product, and author names consistently in H1, intro, and schema.
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
- 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.
- 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.
- 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.
- Write answer-first introductions Open with a direct answer in the first 40–60 words — the pattern featured snippets and AI Overviews prefer.
- Fix heading hierarchy One H1, logical H2/H3 outline, no skipped levels — easier for models to chunk your page.
- 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.
- 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.
- Audit robots and canonical tags Ensure AI crawlers and search bots can fetch the URL you want cited.
- 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.
- 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.
- Build entity-rich “about” and author pages GEO-style brand signals: link authors, organizations, and topical hubs consistently.
- Target ChatGPT & Perplexity citation patterns Use comparison tables, definitions, and cited statistics — formats AI search engines reuse.
- 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).
Why AI search optimization matters in 2026
Rankings alone are not enough when answers are synthesized above the classic SERP.
Search behaviour is splitting. Users still type keywords into Google—but they also ask ChatGPT, Perplexity, Gemini, and Bing Copilot for direct answers. Google AI Overviews appear above traditional results for a growing share of queries. If your pages are not structured for extraction, you may rank while remaining invisible to AI summaries.
Each surface has nuances: Google AI Overview optimization leans on helpful content and schema; ChatGPT search optimization favours clear, citable passages; Perplexity optimization rewards authoritative, well-linked sources. This AI search audit tool measures on-page readiness across those patterns—before you invest in paid AI search tracking.
AEO does not replace SEO—it extends it. You still need crawlable, fast, trustworthy pages. AI search optimization adds answer-first writing, FAQ schema, entity clarity, and citation-friendly formatting. Run this checker monthly on money pages; pair it with content gap analysis and, when ready, live AI citation monitoring.
Gemini, Copilot, and emerging regional engines follow similar patterns: retrieve eligible URLs, rank passages by relevance and trust, synthesize an answer. The brands that invest early in structured, citable content build compounding visibility—as AI search share grows, page-level AEO becomes as routine as technical SEO audits.
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.
| 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.
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).
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?
Is AEO the same as traditional SEO?
Is AEO replacing SEO?
Does this AI visibility checker work with ChatGPT?
How can I improve my AI search visibility?
Is AEO the same thing as GEO?
What is GEO optimization?
Does Google AI Overview use the same ranking factors as classic search?
Will a high score guarantee top 3 rankings or AI recommendations?
Is this AEO readiness checker free?
How does the tool analyse my page?
How do I know if GPTBot or other AI crawlers are blocked?
Does adding an llms.txt file improve AI search visibility?
Does the checker tool evaluate voice search readiness?
Can I check pages behind a login or paywall?
How is this different from Lighthouse or PageSpeed Insights?
What data is stored when I run a check?
Does this AEO checker cover Google AI Overviews, ChatGPT, Bing, and Perplexity?
Who maintains this AEO checker tool?
How do AI search engines decide what to cite?
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
Methodology & limitations
- Server-side fetch: heavy JavaScript sites, bot blocks, or geo gates may differ from a user’s browser.
- Scores are heuristics—not official Google, Microsoft, Yandex, or AI vendor ratings. No third-party tool has access to any vendor’s internal ranking or AI systems, and this one does not claim to.
- Signal weights follow first-party documentation, not industry folklore: proven SEO foundations and search-crawler access carry real weight; training-only crawler rules are reported without penalty; llms.txt, Speakable, FAQPage, and HowTo are small optional bonuses.
- Weights are re-reviewed when platforms publish new guidance — the deprecations and clarifications of 2026 already changed several of them.
- Use paste mode for drafts; never submit secrets or disallowed personal data.
- Free tier does not query ChatGPT, Perplexity, or Gemini live; Pro adds optional citability probes.
What the score categories mean
- Schema & structured data — JSON-LD validity and connected Article/Organization graphs. FAQPage, HowTo, and Speakable are scored as optional bonuses only.
- Content & headings — H1/H2 hierarchy, depth, readability, answer-first structure.
- Technical & crawl — Robots, canonical, HTTPS, indexability. Blocking a search-facing AI crawler costs points here; blocking a training-only crawler does not.
- Trust & E-E-A-T — Author, publisher, freshness, authority signals.
- GEO & AI readiness — Hreflang, alt text, citation-friendly structure. llms.txt is a small bonus; Google states Search ignores it.
References & further reading
- Google — Optimizing for generative AI features on Search
- Aggarwal et al. — GEO: Generative Engine Optimization (ACM SIGKDD 2024)
- Google — Helpful content
- Google — Structured data intro
- OpenAI — Crawlers and user agents
- Anthropic — Claude crawlers and blocking
- Perplexity — Bots and crawlers
- Schema.org documentation