AEO Analysis Tool: Measure Your Answer Engine Readiness

Classic SEO audits focus on whether a page can be crawled, indexed and ranked as a link in a list. People increasingly meet your content in a different form: a synthesised answer, a snippet, a spoken response, or a summary with a few cited sources. Google describes its AI features in Search as relying on the same foundational SEO practices as regular search, which is an important point: there is no secret second rulebook. But the shape of your content affects how easy it is to quote.

Consider two pages about the same topic. One has a vague heading, five paragraphs of preamble and the answer buried in the sixth. The other has a heading phrased as the question people ask, a two-sentence direct answer, then supporting detail, clear authorship, and structured data that matches what is on the page. Both might rank. Only one is easy for a system, or a human skimming a result, to lift an answer from.

An AEO audit looks at those properties: how clearly you answer, how well you signal who you are and why to trust you, and how consistently your site describes itself.

The analysis fetches your homepage and the standard supporting pages (About, FAQ, Contact, Blog) when they exist. From the HTML it extracts a set of signals, calculates scores, and then asks an AI model to turn the signals into issues and recommendations.

Signals collected

• Structured data. Which JSON-LD types appear (Organization, WebSite, Article or BlogPosting, BreadcrumbList, FAQPage, HowTo), and how many FAQ items are marked up.
• FAQ content. Whether an FAQ page exists, whether FAQ-style accordions appear on pages, and how many question-and-answer pairs are present.
• Question coverage. How many headings are phrased as questions ("How much does…?", "What is…?"), and whether pages open with direct-answer patterns.
• Experience and trust. About and Contact pages, visible author information, team information, how many outbound links go to authoritative sources, HTTPS, privacy policy and terms, and whether content shows a last-updated date.
• Entity and social consistency. Social profile links and how clearly the site states who the business is.
• Content volume. Total words across the crawled pages.

Scores

The signals are turned into area scores (schema, FAQ, question content, direct answers, experience and authority, trust, entity clarity) and an overall AEO score from 0 to 100.

An overall score and area scores

See quickly which areas are strong and which are weak. A site might score well on trust (HTTPS, About page, contact details) and poorly on question coverage (no headings that match how customers ask).

Issues and recommendations

Each issue states what was found, why it matters for answer extraction or trust, and what to do. Typical findings:

• No FAQ content on service pages where customers clearly have questions.
• Structured data present for the organisation but missing for articles.
• Headings that describe the page but never state the question being answered.
• No visible author or reviewer on advice content.
• No dates showing when content was last updated.
• Few or no references to authoritative sources on pages that make factual claims.

Opportunities

A ranked list of content to create or improve, such as the questions your pages should answer directly.

AEO content generation

When you identify a gap, you can generate draft content to fill it: for example an FAQ section for a service page. Drafts are starting points: you review, correct and add real specifics before publishing. AI drafts that are published without review are exactly the sort of low-value content that helps nobody.

Dashboard and history

See the latest score, how it has moved across audits, and the open opportunities for each project.

Use the analysis as the start of a repeatable improvement loop.

A dental clinic

The analysis finds the clinic has an About page and contact details but no FAQ content, no question-style headings and no structured data beyond a basic organisation. The recommendations: add FAQs on treatment pages ("Does a root canal hurt?", "How long does a crown last?", "Do you offer payment plans?"), have each treatment page reviewed and credited to a named dentist, and add LocalBusiness and Article markup. After these changes, the next audit shows higher FAQ, question content and authority scores. The clinic then watches its Search Console data and spot-checks AI answers for a few local questions.

A B2B software company

The analysis shows strong blog output but no author information, no updated dates, and few outbound references. The recommended fixes are editorial: add author bios with real credentials, show last-reviewed dates, and cite primary sources for factual claims. None of these requires development work.

An agency doing AEO as a service

An agency runs the analysis for ten clients, sorts them by lowest score, and builds a prioritised roadmap. Each client gets the same baseline report and a follow-up after the work, which makes the service easy to explain and to price.

Agencies can offer an AEO readiness audit as an add-on and use the history to show progress.

Freelancers can use the report to explain to non-technical clients why FAQ content, author pages and structured data matter and what is involved.

Businesses can run it themselves to find the cheapest fixes first: most of the recommendations are editorial, not technical.

Content teams can use the question and direct-answer findings as an editorial checklist for new articles.

A manual review means opening your pages, view-sourcing for schema, counting FAQs, checking authors and comparing with the best answers in your niche. It is thorough and slow.

Benefits

• Turns a vague idea ("be AI-friendly") into a concrete, measurable checklist.
• Most findings are editorial, so they are cheap to fix.
• The fixes (clear answers, authorship, accurate structured data) also help human readers and traditional search.
• History makes progress visible.

Limitations

• No guarantee of inclusion. Eligibility is not the same as being chosen. Neither Google nor AI assistants promise that following best practice will earn a citation.
• Not a live AI visibility monitor. The tool does not query ChatGPT, Gemini or Perplexity.
• Heuristic scores. The weightings are Bizsenti's own. They are not published ranking factors.
• Sample of pages. The analysis looks at the homepage and standard supporting pages, not every page on the site.
• AI-generated drafts need editing. They are starting points.

1. Answer first, then elaborate. Lead with the direct answer, then give context and nuance.
2. Write for the question as customers phrase it. Use real wording from calls, emails and search suggestions.
3. Make authorship visible. Name the author, their role and why they are qualified.
4. Show when content was updated. Date and review advice pages, and keep them current.
5. Cite primary sources. Link to the official documentation, study or regulation you rely on.
6. Keep structured data truthful. Only mark up content that is visible on the page and follow Google's guidelines for each type.
7. Do not mass-produce FAQs. Ten useful answers beat fifty padded ones.
8. Measure outcomes in Search Console. Impressions, clicks and the queries people use are the real feedback.

• Adding FAQPage schema everywhere in the hope of citations. Schema does not guarantee AI mentions or rich results, and Google now shows FAQ rich results only for certain authoritative government and health sites.
• Chasing a perfect score. Fix what serves your visitors.
• Publishing AI-written FAQs unedited. They are generic and sometimes wrong.
• Treating llms.txt or content chunking as required. Google has said that no special files or markup are needed for its AI features; clear, helpful, crawlable content is what matters.
• Ignoring traditional SEO. If pages cannot be crawled and indexed, nothing else matters.
• Making unverifiable claims on the page. Answer engines and readers both penalise vague or wrong information.

Scores are heuristic, but they are useful for choosing where to start. As a rough guide for the overall AEO score and each area:

A single area can drag the overall score down. If question coverage scores 0 while trust scores 85, you do not have a trust problem; you have headings that do not match how customers ask.

This plan assumes a small business site with a handful of key pages.

Give writers a short brief so every page is built the same way:

1. The question this page answers, in the customer's words.
2. The direct answer in one to two sentences, including the key number or condition.
3. Who it applies to and the main exceptions.
4. Three to five supporting sections, each answering a follow-up question.
5. One table or list if the content is a comparison or process.
6. Evidence: sources to cite and first-hand experience to include.
7. Author and reviewer with credentials.
8. Last updated date and the review cycle.
9. Internal links to the next most relevant page and to the service or product.

A brief like this is easy to check in review and easy to measure afterwards with the AEO analysis.

It is worth being clear about which signals have a published basis.

The heuristics reflect common good practice for extractable content, but they are not ranking factors. Use the scores to organise your work, and the documented guidance to decide what is actually required.