Free AEO content checker
Free AI Citation Readiness & AEO Content Checker
Enter a page URL to see whether its content is structured so AI answer engines — ChatGPT, Claude, Perplexity, Google’s AI overviews — can locate and extract a clear answer. It analyses structure and content signals on the page itself; it does not query any AI system or track real citations.
What it analyzes
- Question-style headings and a direct answer right after each heading
- Definition-style sentences and short, self-contained answer candidates
- Heading structure, lists, tables, and definition lists
- A References / Sources section and links to commonly cited sources
- Author, publisher, and freshness signals
- Structured data (JSON-LD) and overall readability / extractability
What it does not do
- Contact ChatGPT, Claude, Perplexity, or Google AI
- Check or track whether your page has actually been cited or mentioned
- Predict or guarantee citations, ranking, or traffic
- Produce a numerical “citation score”
We fetch the page HTML once and analyse its structure. Public http/https URLs only. No LLM API is contacted.
Reminder: this checks page structure and content signals only. It does not contact ChatGPT, Claude, Perplexity, or Google, it does not track real citations, and it cannot predict or guarantee whether your page will be cited or ranked.
What is AI citation readiness?
When an AI answer engine (ChatGPT search, Claude, Perplexity, Google’s AI overviews) draws on a web page, it has to find the passage that answers the question and extract it cleanly. AI citation readiness — the content side of answer engine optimization (AEO) — is how easy your page makes that: is there a clear heading for the question, a direct answer near the top of the section, and discrete points in lists or tables, or is the answer buried in the middle of a long paragraph?
It describes content structure. It is not a prediction. Whether a system actually cites the page depends on relevance, competing sources, quality, freshness, and provider-specific ranking — covered further down.
Citation readiness vs citation tracking
Two different things get called “AI citation” tools:
- Citation tracking — queries AI platforms and reports whether, and where, your brand or URL was mentioned or cited, share of voice, and which sources were used. This tool does not do that.
- Citation readiness / AEO content structure — analyses your page and reports whether a clear answer is easy to locate and extract: headings, direct answers, evidence, metadata, schema. That is what this tool does.
What does this AEO content checker analyze?
Answer-focused structure
Question-style headings, FAQ-style sections, and whether a heading is followed immediately by a short, self-contained answer rather than a long build-up.
Heading structure
One clear H1, subheadings that divide the body into sections, and whether each heading is backed by real content (not an empty section).
Direct definitions & concise answers
Sentences that read as plain definitions (“X is …”, “X means …”) and short passages under a heading that could be quoted as stand-alone answers. Shown as candidates — accuracy is not judged.
Structured content
Lists, tables, and definition lists that present discrete points a system can lift individually.
Sources & evidence signals
A References / Sources heading, outbound links, and links to sources that are commonly cited. The checker does not assess whether the linked sources are reliable.
Author & publisher signals
An author meta tag or JSON-LD author, and a publisher / Organization signal. Their absence is treated as informational, not an error.
Freshness signals
datePublished, dateModified, and <time> elements. A missing date is not treated as “outdated”.
Structured data
JSON-LD presence, parse errors, and whether a content-type schema (Article, FAQPage, HowTo, Organization, …) is declared. Reuses the AI Schema Markup Checker's analyzer.
Readability & extractability
Amount of body text, paragraph count, very long paragraphs, and whether the content is segmented with headings and lists/tables.
Every check returns PASS, REVIEW, INFO, or COULD NOT CHECK. There is deliberately no numerical citation score — no public method converts page structure into a probability of being cited — and these are our own extractability heuristics, not official ranking factors of any provider.
Clear answers and definitions
The passage most often lifted verbatim is a short, self-contained sentence that directly answers a question or defines a term: “X is …”, “X means …”. If a section’s first paragraph is scene-setting or 150 words long, a system has to synthesise the answer from a bigger block, which it may do less faithfully. Leading each section with a one- or two-sentence answer, then expanding below, gives it a clean thing to quote. This checker flags definition-like sentences and short answer paragraphs as candidates — it does not judge whether they are correct.
Headings, lists and tables
One H1 states the page topic; descriptive H2/H3 subheadings let a system isolate the relevant section. A heading with no real content below it looks like a section but offers nothing to extract. Lists turn “first … second … third …” prose into discrete points, and tables make comparative data readable row by row. Using these structures helps extractability; it is not a claim that “more headings” or “a table” raises any ranking.
Sources and evidence
For factual or research-heavy content, a References / Sources section and links to primary sources make each claim traceable, which helps a reader — and some systems — treat the page as a citable source. This checker detects a sources heading, outbound links, and links to hosts that are commonly cited (journals, .gov / .edu, encyclopaedias). It does not assess whether those sources are actually reliable, and many page types have no need for a formal references section.
Author and freshness signals
A named author (byline, author meta tag, or JSON-LD author) and a publisher help a reader assess who stands behind the content — more so on expertise-sensitive topics. A visible datePublished ordateModified helps judge currency. The checker reports these as present or absent; a missing author or date is informational, not an error, because evergreen pages routinely omit them.
Structured data
JSON-LD (Article, FAQPage, HowTo, Organization, …) states a page’s type and key fields explicitly instead of leaving a system to infer them. This checker reuses the same analyzer as the AI Schema Markup Checker. Structured data can help understanding; it is not a citation or ranking guarantee, and a page with none is not invalid.
Technical visibility vs content readiness
Two different questions:
- Technical visibility — can AI systems reach and parse the page at all? Crawler access, robots.txt, llms.txt, HTTP status, structured-data validity. That is the AI Visibility Audit.
- Content readiness — once a system can read the page, is the answer easy to locate and extract? Headings, direct answers, lists, sources, structure. That is this checker.
A page needs both. Neither one, nor both together, guarantees that any AI system will cite it — see below.
How to improve content for AI answers
- Lead each section with a one- or two-sentence answer to the question it addresses, then expand below it.
- Use one H1 and descriptive H2/H3 subheadings, and never leave a heading with no content under it.
- Break long paragraphs at each new idea; turn “first … second … third …” prose into lists, and comparisons into tables.
- Where the page states facts, link to a primary source; add a References / Sources section on research-heavy pages.
- Name the author and show a published or updated date on expertise- or time-sensitive pages.
- Add structured data (Article, FAQPage, HowTo …) that genuinely matches the visible content, and fix any JSON-LD parse errors.
These are structural improvements. They make the answer easier to find and quote; they do not on their own decide whether a system cites the page.
Why citation readiness does not guarantee citation
Passing every check clears the common structural gaps — the page can be read and a clear answer can be extracted. Whether a system then selects and cites your page over another depends on how well it matches the query, the quality and freshness of the content, how many other sources cover the same ground, and each provider’s own ranking, which changes over time and is not published. No external tool can see or influence that. This checker finds and helps you fix structural blockers; it cannot make an AI system cite a page.
Audit → Improve → Recheck
1Technical readiness
Run the AI Visibility Audit first — if a system can’t reach or parse the page, structure doesn’t matter yet.
2Content readiness
Run this checker on the specific page URL and note every REVIEW item.
3Improve
Add a direct answer under each heading, split long paragraphs, use lists/tables, add a sources list where claims need it, and fix any structured-data parse errors.
4Recheck
Re-run both tools to confirm the REVIEW items are cleared.
Frequently asked questions
What is an AEO content checker?
An answer engine optimization (AEO) content checker analyses a page's structure and content signals to see how easily an AI answer engine could locate and extract a clear answer from it: question-style headings, a direct answer near the top of each section, definitions, lists and tables, sources, author and freshness signals, and structured data. This tool is an AEO content checker — it reads the page's own HTML and does not contact any AI system.
What is AI citation readiness?
AI citation readiness is how easily a system can find and lift a self-contained answer or definition from a page: clear headings, a direct answer near the top of each section, discrete points in lists and tables, optional sources, and matching structured data. It describes content structure — it is not a prediction that the page will be cited.
How is citation readiness different from citation tracking?
Citation tracking queries AI platforms and reports whether — and where — your brand or URL was mentioned or cited, along with share of voice and which sources were used. This tool does not do that. It measures citation readiness: it analyses your page and reports whether a clear answer is easy to locate and extract. One measures outcomes on the platforms; the other measures how well your page is structured.
Does this checker show whether ChatGPT has cited my website?
No. It does not contact ChatGPT, Claude, Perplexity, Google, or any AI service, and it has no way to see whether a page has been cited or mentioned. It only analyses the page's own HTML structure and content signals.
How do I structure content for AI answers?
Lead each section with a one- or two-sentence answer to the question that section addresses, then expand below it. Use one H1 and descriptive subheadings, and don't leave a heading with no content under it. Break long paragraphs at each new idea, use lists for enumerations and tables for comparisons, and link to a primary source where the page states facts. Add structured data that genuinely matches the visible content.
Does structured data guarantee AI citations?
No. Structured data (JSON-LD) makes a page's type and key fields explicit, which can help systems understand it. It is not a citation or ranking guarantee, and Schema.org validity is separate from any specific search rich-result requirement.
Do FAQ sections help AI search?
A genuine, visible FAQ section is already in the shape a system can lift individual question-and-answer pairs from, which can make specific answers easier to extract. It is not a ranking lever, and Google retired the FAQ rich result in 2026, so FAQPage markup will not produce a rich result. Only add an FAQ (and its markup) if the page really answers those questions.
Should I include sources and references?
For factual, statistical, or research-heavy content, a sources list and links to primary sources make individual claims verifiable, which helps a reader — and some systems — treat the page as a citable source. Many page types (product pages, opinion, how-tos) do not need a formal references section.
Do author and publication dates matter?
They help a reader judge who is behind the content and how current it is, and they matter more for expertise-sensitive or time-sensitive topics. Their absence is not an error — evergreen pages often omit a date, and not every page needs a byline.
What is the difference between technical AI visibility and content readiness?
Technical AI visibility (the AI Visibility Audit) is about whether AI systems can reach and parse the page at all: crawler access, robots.txt, llms.txt, HTTP status, and structured-data validity. Content readiness (this checker) is about whether the page's body is structured so a clear answer can be identified and extracted. A page needs both, and neither guarantees a citation.
Can I optimize a page for AI answers and citations?
You can make a page clearer and easier to extract answers from, which is good practice regardless. You cannot control whether ChatGPT or any AI system chooses to cite it — that depends on the query, competing sources, content quality, freshness, and provider-specific ranking that no external tool can see or influence.
If a page passes every check, is it guaranteed a citation?
No. Passing every check means the common structural gaps are cleared. Whether an AI system then selects, cites, or recommends the page is outside the scope of this tool and outside any external tool's ability to predict or promise.