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Signal breakdown
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What Is an AEO Readiness Checker?
An AEO readiness checker is a free tool that scores your page against the signals AI answer engines use when deciding which content to cite in a generated answer. It returns a score out of 100 across content structure, keywords, E-E-A-T, and schema, plus a prioritised list of fixes to improve your AI visibility.
When someone asks a question in ChatGPT, Perplexity, or Google AI Overviews, the engine does not pull a random link. It looks for pages that are clearly structured, credible, and easy to lift a direct answer from. An AEO checker tells you whether your page clears that bar before you publish.
The tool above checks 15 signals across four categories: content structure, keyword optimisation, E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), and schema readiness. Unlike a traditional SEO audit built around backlinks and authority, an AEO check focuses on content extractability, how easily a model can pull a clean, trustworthy answer from your page and attribute it to you.
Why It MattersWhy AEO Matters More Than Ever in 2026
Search behaviour has shifted faster in the last two years than in the previous decade. ChatGPT now serves around 900 million weekly active users and crossed one billion monthly app users in mid 2026. Google AI Overviews reach more than two billion people a month. Perplexity has grown past 45 million monthly users. Roughly 37 percent of people now start a search with an AI tool rather than a traditional engine. That is a huge share of intent that often ends without a single click to a website.
If your content is not structured for AI citation, you are absent from those answers. You can rank on page one of Google and still never appear in the AI response a growing share of users read instead. Here is why it is worth acting now.
- Zero-click behaviour is rising. A large share of searches now end inside the results page or an AI answer. Being cited means your brand is seen even when nobody visits your site.
- AI-referred visitors arrive pre-qualified. They have already read an answer that mentioned or recommended you, so they convert better than cold traffic.
- First-mover advantage is real. Most sites have not seriously optimised for AEO yet. Doing it now builds citation authority before competitors catch up.
- The signals overlap with good SEO. Everything that makes a page AEO-ready also tends to help it in traditional search, so you are not choosing one over the other.
The key idea: AI engines do not just crawl your site, they parse it, extract meaning, and judge whether it is worth quoting. A page can rank on Google and still fail that judgment. AEO is about closing that gap.
What Does This AEO Checker Measure?
The tool checks 15 signals grouped into four categories. Here is what each covers and why it moves your AI visibility score.
Content structure (5 signals)
AI engines extract answers from well-organised pages. This checks for a clear H2 and H3 hierarchy, question-based headings that match how people ask, a FAQ section, bullet or numbered lists, and short paragraphs. Structure is the highest-impact category in the whole audit. Fixing it alone moves your score noticeably.
Keyword optimisation (4 signals)
Even in AI search, keyword placement still signals what a page is about. This checks whether your target keyword appears in the title or H1, in the opening paragraph, and in at least one H2, plus keyword density. The healthy range is 0.5 to 2.5 percent. Below that the page lacks focus, above it the content reads as stuffed and looks less trustworthy to AI systems.
E-E-A-T signals (5 signals)
Google's E-E-A-T framework is its main content-quality benchmark, and AI engines apply the same logic when choosing what to cite. This checks for author attribution, a published or updated date, statistics with sources, external references, and concrete examples. Pages that show genuine expertise get cited far more often than pages that only repeat keywords.
AI and schema readiness (4 signals)
This covers the technical signals AI engines reward. It checks whether your opening paragraph gives a direct answer or definition (the single strongest AEO signal), whether the page reaches a useful depth of 800 words or more, whether JSON-LD schema is present, and specifically whether FAQ or HowTo structured data is in place. Those Q&A and step formats no longer produce Google rich results, but they still help AI systems parse and quote your answers accurately.
| Signal | Category | AI Impact | Easy to Fix |
|---|---|---|---|
| Direct answer in opening paragraph | AI and Schema | Very High | Yes |
| Question-based H2 headings | Structure | High | Yes |
| FAQ section in content | Structure | High | Yes |
| Keyword in title or H1 | Keywords | High | Yes |
| JSON-LD schema present | AI and Schema | Medium | Yes |
| Author attribution | E-E-A-T | Medium | Yes |
| Statistics or data cited | E-E-A-T | Medium | Moderate |
| Word count 800 or more | AI and Schema | Medium | Moderate |
| Short paragraphs under 80 words | Structure | Medium | Yes |
| External references or links | E-E-A-T | Medium | Yes |
How to Improve Your AEO Score: 8 Fixes That Work
Once you have run your content and seen which signals fail, these are the highest-impact changes. Start at the top and work down.
Fix 1: Start with a direct answer
Open with a 2 to 3 sentence paragraph that directly answers the main question your page covers. Write it as if someone asked "What is [your keyword]?" and you had 30 seconds to reply. This block is what AI engines pull most often. It is the single highest-impact AEO fix on this list.
Fix 2: Rewrite headings as questions
Turn generic headings like "Key Benefits" into "What are the key benefits of AEO?" AI engines match user intent to question-format headings far more reliably than to descriptive ones. Converting even two or three H2s makes a measurable difference.
Fix 3: Add a FAQ section
A FAQ block adds natural question-and-answer structure that AI engines love to extract, and it gives you a clean place to add FAQPage schema. Together these two changes drive more score gains than almost anything else.
Fix 4: Add schema markup
Structured data tells engines exactly what your content is. FAQ and HowTo schema no longer trigger Google rich results, but they still help AI systems read and quote structured answers, and Article schema is a strong baseline for every page. Use our free Schema Markup Generator to build valid JSON-LD in about two minutes.
Fix 5: Add author attribution and a date
Put a visible byline near the top and include a published or updated date. These address the Experience and Trustworthiness parts of E-E-A-T directly. AI engines are trained on the same quality signals Google uses, and fresh, attributed content gets cited more often than anonymous, undated pages.
Fix 6: Include at least one sourced statistic
Specific, sourced numbers are a clear signal of factual authority. Even one well-placed data point with a clear attribution improves how AI systems rate your credibility. One or two per section is plenty.
Fix 7: Use bullet points and numbered lists
Models extract structured information more reliably than dense prose. Whenever you have three or more related points, make them a list. This is especially effective for comparisons, feature lists, and step-by-step guides.
Fix 8: Break up long paragraphs
Long blocks are hard to extract cleanly. Aim for under 80 words per paragraph and split anything longer than five or six sentences. Short paragraphs also read better for humans, so this helps your bounce rate and your AEO score at once.
AEO vs SEOAEO vs SEO: What Is the Difference?
AEO and SEO are complementary, not competing. AEO builds on the foundation of good SEO. The difference is the outcome you optimise for.
| Factor | Traditional SEO | AEO |
|---|---|---|
| Primary goal | Rank in blue-link results | Be cited in AI answers |
| Key metric | Keyword ranking position | Citation frequency in AI answers |
| Content format | Long-form, keyword-rich | Answer-first, question-structured |
| Schema role | Moderate | High, for machine readability |
| E-E-A-T signals | Important | Critical |
| Heading format | Keyword-focused | Question-based preferred |
| Paragraph length | Flexible | Short, under 80 words preferred |
The good news is that a page optimised well for AEO almost always performs better in traditional search too. Clear structure, strong E-E-A-T, proper schema, and answer-first writing are things Google rewards in both formats. You are not doing extra work, you are doing the same work more thoughtfully.
Reading Your ResultWhat Is a Good AEO Score?
The tool scores your content 0 to 100 based on how many of the 15 signals your page passes. Here is how to read your result.
Are AEO and GEO the Same Thing?
AEO and GEO are used interchangeably in 2026 and are closely related. The difference is scope. AEO (Answer Engine Optimisation) covers all answer-capable surfaces, including voice assistants and featured snippets as well as AI chatbots. GEO (Generative Engine Optimisation) refers specifically to generative platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini.
In practice the signals for both are almost identical. A page that scores well for AEO readiness is also well-positioned for GEO, because the structure, E-E-A-T, and schema requirements overlap. This checker covers the signals that matter for both, so you do not need separate tools or strategies.
Go Deeper on AI Search
WritoryBuzz covers AEO, GEO, and technical SEO in depth. Start with these guides:
Complete Your AI Search Workflow
Structured data helps AI models read and quote your content. Build valid JSON-LD in minutes.
Open Tool →Tell ChatGPT, Claude, and Perplexity which pages to read and cite. The new frontier of AI SEO.
Open Tool →AI models prioritise expertise and trust. Score your page on Experience, Expertise, Authority, and Trust.
Open Tool →Control which AI crawlers can access your site, including GPTBot, ClaudeBot, and CCBot.
Open Tool →Your title and meta decide clicks and whether AI Overviews pull your snippet. Preview both.
Open Tool →Generate SEO, Open Graph, and Twitter Card tags with live previews and optional JSON-LD.
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