Currently taking on only 1 new client in Q4.

/AEO Lite · Free tool

Free AEO Checker, Instant Answer-Engine Score

Scores your page markup across six AEO buckets — schema, structure, entities, and crawlability — so you can see what answer engines can read.

12,400+ pages checked 100 point score ~30s to your score 6 scoring buckets

Free AEO check Results in ~30s

Free check · Instant on-page score · No spam

/Scoring model

How AEO Scoring Works

This checker analyzes your page's own HTML and JSON-LD across 6 on-page categories, each contributing to a total score of 100 points:

  • Answer Readiness 25 pts

    Self-contained answer passages, evidence density, step-by-step content, and comparison tables

  • Schema Essentials 20 pts

    Accurate JSON-LD that matches visible content (Article, Organization/Person, BreadcrumbList, FAQ/HowTo when relevant)

  • Entity & Links 15 pts

    Entity clarity in title/H1, internal links, and distinct external source domains

  • FAQ/HowTo Surfaceability 15 pts

    Natural extractable Q&A and how-to passages — not forced templates

  • Tech Basics 15 pts

    Indexability, robots.txt configuration, and meta tags

  • Trust & Author 10 pts

    Author visibility, publication dates, and Organization schema

Hard-fail rules

Pages with noindex, insufficient content (<150 words), or robots.txt rules that block search/answer-grounding crawlers receive a score of 0. Missing JSON-LD is scored in Schema Essentials — it is not a hard-fail. Blocking training-only bots (e.g. GPTBot) is flagged separately and does not zero the score.

/Work with me

Want AEO fixes that ship?

AEO Lite checks one page. Site-wide entity clarity, evidence density, commercial-page retrieval and named recommendation analysis are a different engagement.

Maciej Turek

Built by Maciej Turek, AEO and AI-search consultant. AEO Lite is a page-level diagnostic of markup, entities and evidence — not a predictor of ChatGPT, Gemini or Google AI Overview recommendations. Independently listed among free AEO audit tools by DeepSmith. AEO consulting →

Entity & evidenceWho you are, what you prove, where pages connect
Commercial pagesService and hire-intent visibility, not only guides
Named recommendationsPositioning and proof beyond a page score
/FAQ

Frequently Asked Questions

/01What are the scoring buckets and what do they mean?+
Your AEO score falls into one of five buckets: Excellent (85–100), Good (70–84), Needs Work (50–69), Significant Issues (30–49), and Critical (0–29). The score reflects how well your page markup supports answer-engine readability — structured data, answer blocks, entities, and crawlability — not live citations in ChatGPT or Perplexity.
/02What does this tool actually analyze?+
AEO-Lite fetches your page HTML and scores on-page signals across six weighted buckets totalling 100 points. It does not query live answer engines. Instead it checks whether your markup, schema, and content structure give AI systems what they need to parse, trust, and cite your page.
/03What schema coverage do I need?+
Schema helps machines interpret entities and page type when it matches visible content. Useful types include Article, Organization or Person, BreadcrumbList, and FAQPage or HowTo when the page genuinely has that content. Schema is a quality signal in this checker — not a proven citation shortcut — and missing JSON-LD no longer zeros your score.
/04How are recommendations generated?+
The checker identifies gaps across all six scoring buckets — answer formatting, schema, entities, FAQ/HowTo surfaceability, technical basics, and trust signals. Each fix is ranked by impact and estimated effort, and shown on-page with ready-to-paste patterns where available.
/Primer

Understanding AEO

Why AEO matters

As AI answer tools become primary research channels, pages need structured markup and clear answer blocks — not just keyword-optimized copy — to be parsed and cited.

Six scoring buckets

Our 100-point model weights answer readiness, schema, entities, FAQ/HowTo surfaceability, tech basics, and trust signals — the on-page factors answer engines rely on.

Schema & structure

JSON-LD clarifies entities and page type. Self-contained answer passages with dates, numbers, and examples help extraction. Missing schema lowers the Schema score — it does not hard-fail the page.

Common mistakes

noindex on valuable pages, thin content under 150 words, and robots.txt rules that block search or answer-grounding crawlers are the blockers that zero a score. Training-bot blocks alone do not.