[a1]
Eric Strate’s Free AEO Checker audits one public webpage for Answer Engine Optimization, GEO and AI search readiness using a proprietary page-level analysis of search fundamentals, entities, answer structure, evidence, structured data and citation readiness.
[f1]What do I receive after checking a page?
The free result includes an AEO Readiness Score, six category ratings and priority areas to investigate. The scoring methodology remains proprietary.
Evidence ↗[f2]Do I need an account, email address or AI API key?
No. The checker fetches one public HTML page per audit and requires no login, email gate or AI API. It does not perform a sitewide crawl.
Evidence ↗Free AEO Checker
Audit one webpage for Answer Engine Optimization, GEO, Google AI Overview and AI search readiness.
Enter a public URL to receive an AEO Readiness Score, six category ratings and the highest-priority areas that deserve attention. The scoring methodology stays proprietary; the free result gives you a useful diagnosis without exposing the full implementation framework. The category breakdown helps distinguish, for example, an unclear business identity from a weak answer passage. Use the highlighted areas to inspect the page and decide which observable issue to address; the score itself is not an AI platform’s assessment.
Public HTML pages only. One page is fetched per audit. No login, email gate, AI API or sitewide crawl. Submit the public page URL in the form on this page. The diagnostic is limited to the returned page HTML; information available only after signing in or elsewhere on the website is outside that single fetch.
- Free
- No account
- Single-page audit
- Proprietary scoring
- Citation readiness
Read what this score measures, the six diagnostic categories and how managed search differs.
Top areas to investigate
Want to Know How Your Brand Performs Beyond This Page? [a17]
Your automated analysis is complete. A page-level score cannot show which competitors appear when buyers ask AI systems for recommendations, which sources influence those answers or why your business may be missing from important AI-search results.
For ongoing improvements, you can hire me directly for Managed SEO, GEO & AEO. The WordPress service is $4,000 per month. The initial SEO and AI-search visibility audit is included in onboarding. See pricing details.
Using WordPress and need ongoing implementation beyond a page-level check? Explore my WordPress AEO agency and AI search services.
Onboarding connects the initial audit to a prioritized roadmap and monthly implementation. You work directly with me on SEO, GEO, AEO, ChatGPT Search Optimization and progress review. See pricing details; other CMS platforms are custom quoted.
Email Eric About Managed Search[a2]
Managed SEO, GEO & AEO for WordPress is $4,000 per month. SEO, GEO, AEO and ChatGPT Search Optimization are included, with an initial audit, agreed WordPress implementation, progress reporting and a monthly performance and strategy call with Eric Strate. Other CMS platforms are custom quoted. The initial SEO and AI-search visibility audit is included in onboarding and guides the monthly implementation plan. See pricing details.
[f1]How much does managed SEO, GEO and AEO cost?
Managed SEO, GEO & AEO for WordPress is $4,000 per month. SEO, GEO, AEO and ChatGPT Search Optimization are included, with an initial audit, agreed WordPress implementation, progress reporting and a monthly performance and strategy call with Eric Strate. Other CMS platforms are custom quoted. See pricing details.
Evidence ↗[f2]What does the onboarding audit help prioritize?
The included audit establishes the technical SEO, buyer-question, competitor and citation baseline. Its findings guide the content, technical, entity and authority improvements prioritized in monthly management.
Evidence ↗Managed SEO, GEO & AEO for WordPress
Work directly with me on SEO, GEO, AEO and ChatGPT Search Optimization. Your initial audit is included in onboarding, followed by a prioritized roadmap, agreed WordPress improvements, progress reporting and a monthly performance and strategy call.
[a3]
Research and testing around commercial questions potential customers may ask when evaluating businesses, services or products in your market.
Link to this answerBuyer-Intent Prompt Testing
Research and testing around commercial questions potential customers may ask when evaluating businesses, services or products in your market.
[a4]
Analysis of where your brand appears, where it does not appear, how it is represented and which competitors are being surfaced across relevant AI search experiences.
Link to this answerAI Search Visibility Analysis
Analysis of where your brand appears, where it does not appear, how it is represented and which competitors are being surfaced across relevant AI search experiences.
[a5]
Investigation into competitors earning mentions, recommendations or citations, including the content, entities, sources and search signals associated with that visibility.
Link to this answerCompetitive AEO Analysis
Investigation into competitors earning mentions, recommendations or citations, including the content, entities, sources and search signals associated with that visibility.
[a6]
Identification of websites, publishers and other sources repeatedly cited or referenced in important AI-generated answers in your market. A recorded citation shows which source appeared in the answer; it does not establish why an AI system selected a brand.
Link to this answerCitation & Source Analysis
Identification of websites, publishers and other sources repeatedly cited or referenced in important AI-generated answers in your market. A recorded citation shows which source appeared in the answer; it does not establish why an AI system selected a brand.
[a7]
A review connecting AI-search findings back to crawlability, information architecture, content structure, entity clarity, supporting evidence, structured data and traditional search fundamentals.
Link to this answerTechnical SEO & AEO Review
A review connecting AI-search findings back to crawlability, information architecture, content structure, entity clarity, supporting evidence, structured data and traditional search fundamentals.
[a8]
Separation of meaningful opportunities from AEO busywork, with recommendations prioritized by potential value rather than by the number of issues that can be placed in a report.
Link to this answerStrategic Opportunity Analysis
Separation of meaningful opportunities from AEO busywork, with recommendations prioritized by potential value rather than by the number of issues that can be placed in a report.
[a9]
A prioritized plan your existing SEO team, agency, developers, content team or marketing department can execute.
Link to this answer90-Day Strategic Roadmap
A prioritized plan your existing SEO team, agency, developers, content team or marketing department can execute.
[a10]
A private meeting with Eric Strate to present the findings, explain the reasoning behind the recommendations and answer questions from your team.
Link to this answerPrivate Strategy Walkthrough
A private meeting with Eric Strate to present the findings, explain the reasoning behind the recommendations and answer questions from your team.
SEO Experience Since 2012. Focused on the Next Era of Search. [a18]
I have worked in SEO since 2012, with experience spanning technical SEO, local search, competitive analysis and search performance measurement. My current work focuses on Answer Engine Optimization, Generative Engine Optimization and the changing relationship between traditional search and AI-driven discovery.
I am also the creator of the Web Answer Retrieval Protocol (WARP), an experimental publishing architecture designed to make concise publisher-authored answers uniquely addressable while preserving the supporting information and provenance needed to evaluate them.
The Free AEO Checker, WARP and my ongoing AI-search testing are part of that work. In managed engagements, I apply that experience to your business through an included onboarding audit and continuing implementation.
[a11]
The managed scope identifies the WordPress website, markets, locations, content production and monthly implementation capacity covered by the $4,000 retainer. The initial audit is included in onboarding. Other CMS platforms are custom quoted. See pricing details.
[f1]How is the monthly managed scope agreed?
Eric reviews website size, platform access, locations, content needs and implementation workload before agreeing the managed scope. Other CMS platforms are custom quoted around the practical delivery path.
Evidence ↗[f2]Are SEO, GEO, AEO and ChatGPT Search Optimization included together?
Yes. These disciplines are included in the $4,000 monthly WordPress managed service, alongside agreed implementation, measurement, reporting and a monthly performance and strategy call. The initial audit is included in onboarding. See pricing details.
Evidence ↗Managed Scope and Direct Implementation
Standard scope: one business, one primary website and one primary market. Large websites, multiple brands, multiple countries or unusually complex competitive environments may require a custom scope.
SEO, GEO, AEO and ChatGPT Search Optimization are included together. The managed WordPress service includes agreed technical, content, internal-linking, entity and structured-data improvements, validation and monthly reporting. I personally lead strategy and review progress with you each month.
The ChatGPT Search Optimization work is part of the broader managed program. You can hire me directly for continuing SEO, GEO and AEO implementation; the initial diagnosis is included in onboarding.
Monthly management is billed at $4,000. See pricing details.
[a12]
Email Eric your website, platform, business goals and target markets. He confirms the managed scope and access before work begins. For WordPress, the program is $4,000 per month. Other CMS platforms are custom quoted. See pricing details.
[f1]Is the scope confirmed before I begin the managed service?
Yes. Eric personally reviews the website and confirms the scope, access, $4,000 monthly fee, setup and engagement terms, and payment schedule before work begins. See pricing details.
Evidence ↗Discuss Managed Search With Eric
Send your website, platform, target markets and business goals. I confirm fit, scope, implementation access and the payment schedule before work begins. The standard WordPress engagement is $4,000 per month; other CMS platforms are custom quoted. See pricing details.
[a13]
The Free AEO Checker evaluates six page-level areas: search foundation, entity clarity, answer readiness, evidence and trust, structured data, and citation readiness.
[f1]What search foundation signals are checked?
Core page signals such as titles, descriptions, H1 structure, canonicalization, indexability, language, mobile viewport and page substance.
Evidence ↗[f2]What does entity clarity mean?
How clearly the page identifies its person, organization, service, product or primary subject across visible content and structured data.
Evidence ↗[f3]What makes a passage answer-ready?
Whether question-led sections contain direct, self-contained answers with enough surrounding context to remain useful.
Evidence ↗[f4]What evidence and trust signals are considered?
Signals such as attribution, first-hand experience, source links, dates when relevant, About and Contact pathways, and support for factual claims.
Evidence ↗[f5]What structured data signals are reviewed?
JSON-LD validity, entity schema, duplicate identifiers, semantic HTML and consistency between machine-readable and visible content.
Evidence ↗[f6]What makes a page citation-ready?
Stable anchors, answer passages, source support, lists and tables, original evidence signals and clear section boundaries.
Evidence ↗What Does the Free AEO Checker Analyze?
The checker is designed around the parts of a webpage a publisher can actually improve. It does not claim access to proprietary Google, ChatGPT or other AI ranking systems. For ongoing measurement rather than a one-page diagnostic, see this AI visibility monitoring software example.
Search Foundation
Core page signals such as titles, descriptions, H1 structure, canonicalization, indexability, language, mobile viewport and page substance. These signals are interpreted together: the title and H1 should identify the page’s purpose, and its canonical and indexing directives should agree with the intended public URL. A technically present tag is less useful when it describes a different subject.
Entity Clarity
How clearly the page identifies its person, organization, service, product or primary subject across visible content and structured data. A reader should be able to identify who offers the service and what the service is. For example, mismatched organization names or a service described only through vague pronouns create ambiguity that the visible page needs to resolve.
Answer Readiness
Whether question-led sections contain direct, self-contained answers with enough surrounding context to remain useful. A passage about service cost needs the relevant service, billing period and material conditions close to the price. A short number without those facts is easy to extract but can be misleading when separated from its page.
Evidence & Trust
Signals such as attribution, first-hand experience, source links, dates when relevant, About and Contact pathways, and support for factual claims. The useful question is whether a visitor can inspect the support for a factual claim. A named author, relevant source and dated result add context; repeating the claim in another paragraph does not supply independent verification.
Structured Data
JSON-LD validity, entity schema, duplicate identifiers, semantic HTML and consistency between machine-readable and visible content. A JSON block can be syntactically valid while naming the wrong business or describing an offer absent from the page. Inspect the published facts alongside the markup and check that referenced identifiers resolve to the intended elements.
Citation Readiness
Stable anchors, answer passages, source support, lists and tables, original evidence signals and clear section boundaries. An addressable pricing table or dated result gives a reader a specific support target. A generic section heading or an unsupported assertion offers less to inspect, even when an anchor exists.
[a14]
Yes. The Free AEO Checker also functions as a page-level GEO checker and AI search audit because AEO, GEO and AI search optimization overlap around discoverability, entity understanding, useful answers, evidence and retrieval structure.
[f1]Does the checker create a separate score for every AI-search acronym?
No. AEO, GEO and AI search readiness share the same page-level diagnostic. The tool does not create a separate score just to match each acronym.
Evidence ↗Is This Also a Free GEO Checker and AI Search Audit?
Yes, with an important qualification. Answer Engine Optimization and Generative Engine Optimization describe overlapping work around search and AI-assisted discovery. This free AEO tool therefore evaluates many of the same page-level factors someone may be looking for when searching for a GEO checker, AI search readiness checker, AEO audit tool or generative search optimization tool.
I do not create separate scores simply to match every acronym. The same page still needs a strong technical foundation, useful information, clear entities and content that can be retrieved without losing important context. One page-level finding can affect several search experiences. For example, an unclear service description remains an information problem regardless of which acronym is used to describe the optimization work.
[a15]
The checker evaluates page-level factors relevant to Google AI Overview readiness, but it cannot predict or guarantee inclusion because third-party tools do not have access to Google’s internal ranking or AI Overview selection systems.
[f1]Can the checker predict a Google AI Overview placement?
No. It reviews observable search-readiness factors and cannot measure an internal Google AI Overview score or guarantee inclusion.
Evidence ↗[f2]Does Google require special AI markup, llms.txt or a fixed chunk size?
No. Google’s guidance says special AI files or markup and fixed content chunking are unnecessary for its generative search features. The checker focuses on broadly applicable page signals.
Evidence ↗Does the AEO Checker Test Google AI Overview Readiness?
It evaluates factors that can matter to a page’s overall search readiness, including technical accessibility, useful content, entities, answer structure and supporting evidence. It does not claim to measure an internal Google AI Overview score. A page-level diagnostic can inspect the information it receives. Observing an actual AI Overview placement requires the returned search result and its context, which this single-page score does not establish.
That is why this tool treats AEO and GEO as extensions of good search practice rather than rewarding unsupported tactics such as special AI-only markup, mandatory llms.txt files or arbitrary content chunk sizes. For the Google-specific requirements in this answer, see the official AI features documentation. The checker examines observable page quality and accessibility; its score does not establish any platform’s adoption of a custom publishing convention.
Read Google Search Central’s generative AI optimization guidance.
[a16]
The AEO Readiness Score is a proprietary 0–100 page-level assessment combining six categories. It measures observable webpage signals, not a hidden score used by Google, ChatGPT, Perplexity or another answer engine.
[f1]Are the results repeatable?
The same HTML is evaluated against the same internal framework, making before-and-after comparisons more useful.
Evidence ↗[f2]Does page type affect the analysis?
A homepage, service page and article do not need identical signals, so the analysis accounts for page context.
Evidence ↗[f3]Does the score measure actual AI mentions or citations?
The score cannot measure off-page authority, real AI citations, prompt demand, private analytics or a search engine’s internal decisions.
Evidence ↗What Is an AEO Readiness Score?
A single number is useful only when its limits are clear. The score summarizes observable page-level signals into a consistent diagnostic so you can compare stronger and weaker pages without pretending the score came from an AI platform itself.
Repeatable
The same HTML is evaluated against the same internal framework, making before-and-after comparisons more useful. For a useful comparison, keep the URL and submitted page context consistent and record the audit date and website change. A revised page can produce a revised diagnostic; a repeatable score should not be interpreted as a forecast of AI recommendations.
Page-Type Aware
A homepage, service page and article do not need identical signals, so the analysis accounts for page context. A service page needs to explain its offer and how to proceed, while an article needs to resolve its subject and support its claims. The category result should therefore be interpreted in light of what that page is meant to do.
Deliberately Limited
The score cannot measure off-page authority, real AI citations, prompt demand, private analytics or a search engine’s internal decisions. Checking those outcomes requires separate sources, such as saved AI answers, off-page references or the site’s analytics. They cannot be established from the submitted page HTML alone.
[a17]
The Free AEO Checker evaluates observable signals on one webpage. Managed SEO, GEO & AEO includes an initial website and AI visibility audit, buyer-question and competitor research, a prioritized roadmap and continuing WordPress implementation. The managed program is $4,000 per month. See pricing details.
[f1]Why does managed onboarding examine more than a page score?
A single-page score cannot establish business visibility, competitors, citations or the wider website constraints. The included onboarding audit evaluates those conditions so monthly implementation follows a useful baseline.
Evidence ↗[f2]Does the managed service include website implementation?
Yes. Agreed WordPress technical, content, internal-linking, entity and schema improvements are implemented through the $4,000 monthly service. The initial audit and roadmap are included in onboarding. See pricing details.
Evidence ↗[f3]Do I need to purchase a separate paid audit first?
No. You can begin the managed WordPress service directly. The initial SEO and AI visibility audit is included in onboarding; the Free AEO Checker remains available for a quick page-level diagnostic.
Evidence ↗What Is the Difference Between the Free Checker and Managed Search?
The free checker answers a narrow but useful question:
The included onboarding audit investigates the wider business question:
That requires research beyond the submitted webpage, including buyer-intent prompt testing, competitive investigation, citation and source analysis, website review and professional interpretation. For example, the page may read clearly while competitors have stronger corroborating sources or the wider site has access problems. Those conditions need research beyond one submitted URL.
The free checker remains useful for a page-level diagnostic. Managed search combines a broader initial audit with strategy, agreed implementation and continuing progress review.
The managed WordPress service includes direct implementation. SEO, GEO, AEO and ChatGPT Search Optimization are included together in the $4,000 monthly work plan. The initial audit and roadmap are included in onboarding. See pricing details.
You can hire Eric directly for Managed SEO, GEO & AEO without buying a separate paid audit. The initial visibility baseline is included in onboarding, followed by $4,000 monthly management. See pricing details.
[a18]
The Free AEO Checker was built by Eric Strate, an SEO and AI-search strategist whose search experience dates to 2012 and who created the Web Answer Retrieval Protocol (WARP).
[f1]What search experience informs the checker?
Eric Strate has worked in SEO since 2012. His work combines technical SEO, search intent, entity clarity, AI-search testing and publishing experiments such as WARP.
Evidence ↗[f2]Why distinguish observable page issues from AI platform decisions?
A useful audit can identify observable webpage problems. It should keep those findings separate from claims about private ranking or AI selection decisions that a third-party tool cannot verify.
Evidence ↗Who Built the Free AEO Checker?
The tool was built by Eric Strate, an SEO and AI-search strategist with search experience dating to 2012. My work combines technical SEO, search intent, entity clarity, AI-search testing and publishing experiments such as WARP rather than treating AEO as a replacement for traditional search fundamentals.
That distinction is important because a useful AEO audit should separate observable webpage problems from claims that no third-party tool can verify. A missing title, a conflicting business name and an unresolving link can be inspected on a page. A claim about an engine’s private source-selection logic needs different evidence and cannot be inferred from that inspection alone.
[a19]
This page uses WARP, Eric Strate’s experimental publishing architecture linking stable publisher-authored answers to optional nested follow-up questions and specific visible evidence passages, with matching semantic markup and a separate relationship map.
[f1]How do the answer, follow-up and evidence links work?
Open an A citation for the canonical answer, expand an F question for a narrower answer, then use its Evidence link to reach the supporting passage in the page body.
Evidence ↗[f2]Does using WARP increase this checker’s score?
No. The Free AEO Checker does not evaluate, reward or recommend WARP as part of its score. This page uses WARP as an optional publishing experiment.
Evidence ↗[f3]Does WARP guarantee AI retrieval, citations or rankings?
No. WARP is an independent experimental proposal, not a Google ranking factor, Schema.org standard or industry requirement. Retrieval and citation gains require separate evidence.
Evidence ↗A Live Answer Architecture Experiment
This page implements the Web Answer Retrieval Protocol (WARP). Each canonical answer has a stable A identifier. Optional F follow-up questions sit inside that answer’s citation panel and link to visible, uniquely addressable E evidence passages. The HTML, standard JSON-LD and separate WARP relationship map describe the same published content. On this page, the six diagnostic-category follow-ups point to the passages explaining what each category means and how to interpret it. Those supporting passages add context to the short responses.
WARP is optional and remains experimental. The Free AEO Checker does not evaluate, reward or recommend WARP as part of its audit score. This page uses WARP only as a live publishing experiment while the checker evaluates broadly applicable page-level signals. An implementation example demonstrates how the content is published. It does not establish that WARP caused a score increase or that an AI system consumed its custom map.
Need to Understand Your Actual AI Search Visibility? [a2]
A page score is one piece of the picture. My managed search program begins with a broader SEO and AI visibility audit and carries its findings into agreed WordPress improvements, measurement and a monthly strategy call.
For Google-focused work, see my Google AI Mode optimization service, including AI Overviews research, buyer-question coverage and agreed WordPress implementation.
$4,000/month
Email Eric About Managed Search →
Or email eric@ericstrate.com.