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GEO Content Checker & Audit Tool

Free GEO content checker and audit tool. This GEO Content Analyzer runs an agent-readiness audit on any URL, scoring it against 26 AI-search signals across GEO, AEO and SEO, then hands you a prioritised fix list to win citations on ChatGPT, Claude, Gemini and Perplexity.

GEO·OPTIMIZER · algo v1.0 · 26 signals · runs in your browser
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A free GEO content checker and audit tool, also known as a GEO Content Analyzer or agent-readiness checker. Paste a URL (or raw HTML) above and the agent renders the page, splits it by section, and audits each one against 26 deterministic GEO, AEO and SEO signals. The output is a composite LLM-Ready score, three per-engine sub-scores, and a prioritised fix list ranked by impact. No signup, no rate limits, no data leaves your browser.

GEO / LLM-Ready Score

composite index
,
/ 100
awaiting
GEO generative,
AEO answer engine,
SEO traditional,

Agent Console

// idle, enter a URL and hit analyze
Dimension Breakdown
Section-by-Section Evaluation
Prioritized Suggestions
▢ No analysis yet.
Feed a URL or paste HTML, the agent renders the DOM, evaluates every content section, and assigns an LLM-Ready score against the 26-signal benchmark.
Methodology

How this GEO content checker scores your page

GEO Agent-Readiness measures how well an AI agent can extract, attribute and cite a section of your page. Agents like ChatGPT's retrieval pipeline, Perplexity's source ranker and Google's AI Overview generator all work this way. Traditional SEO checks whether a page can rank on a SERP. This GEO content checker audits whether each individual section can be lifted as a citable passage by an LLM.

The audit runs entirely in your browser. The tool parses the live DOM, slices it on H2/H3 boundaries, then evaluates 26 deterministic signals across 7 weighted dimensions. No model calls, no signup, no rate limits.

Alignment18%

Does the page actually answer the question the LLM was asked? H1 reframed as a claim, brand bound to the topic, intent-format match.

Substance22%

Is the content dense with extractable facts? Numeric-claim density, named-entity density, no unbacked superlatives, a liftable definition lead.

Architecture16%

Can the page be sliced into independent retrievable chunks? Modular block skeleton, standalone subheading leads, clean H1→H2→H3 hierarchy.

Style8%

Is the prose easy for both humans and machines to consume? Assertive (claim-style) headings, concise sentences ≤22 words on average.

Framing14%

Is content shaped for the queries AI engines surface? User-phrased FAQ, answer-first responses, comparative framing, lists / steps / tables.

Proof14%

Is there evidence the LLM can cite and a human can verify? Dated proof points, first-party research, third-party authority, attributed quotes.

Technical8%

Does the page meet the crawler basics? Title / meta hygiene, JSON-LD schema, alt text on images, internal linking, canonical + og:type.

What is a GEO content audit?

A GEO content audit is a section-by-section review of a page against the signals AI search engines use to pick sources. Instead of a single pass or fail, this GEO audit tool scores seven weighted dimensions and 26 individual checks, then ranks the gaps by impact so you fix the highest-leverage issue first. To run one:

  1. Paste the page URL (or its raw HTML) into the checker above and click Analyze.
  2. Read the composite LLM-Ready score, then the GEO, AEO and SEO sub-scores beneath it.
  3. Work down the prioritised fix list, top item first, re-running the audit after each change.

What this GEO content checker is good for

  • Pre-publish QA: drop a draft URL in, fix every "Needs fix" signal before going live.
  • Competitive teardown: paste a competitor's HTML and see exactly why their page is being cited.
  • Editorial standards: use the 26 signals as a content brief checklist so every page ships GEO-ready.
  • Migration audits: run the same URL on staging and production to compare the GEO, AEO and SEO scores after a redesign.

How a GEO content audit differs from a traditional SEO audit

An SEO audit tells you why a page won't rank. A GEO content checker tells you why an LLM won't cite it. The signals overlap on technical basics (single H1, schema, canonicals), but diverge sharply on content shape: entity density, claim-style headings, liftable first sentences, comparative framing and verifiable proof are where GEO scores diverge from traditional SEO. A page can score 90+ on a Lighthouse SEO check and still be invisible inside ChatGPT, Claude, Gemini and Perplexity answers, and that gap is what this GEO content audit measures.

Frequently asked

FAQs about the GEO Content Checker & Audit Tool

A GEO content checker is a free tool that scores a web page on how well AI search engines can read, trust and cite it. Paste a URL and this checker audits the page against 26 GEO, AEO and SEO signals, then returns an LLM-Ready score with a ranked fix list. Unlike a keyword-density SEO checker, a GEO content checker measures whether ChatGPT, Gemini, Perplexity and Google AI Overviews will actually quote your page.
A GEO content audit reviews seven weighted dimensions: Alignment, Substance, Architecture, Style, Framing, Proof and Technical. Across those it runs 26 checks (entity density, claim-style headings, liftable first sentences, comparative framing, dated proof and schema) and scores each 0 to 100. You get a composite LLM-Ready score plus separate GEO, AEO and SEO sub-scores, so the audit doubles as an AI visibility checker and an LLM SEO checker.
GEO (Generative Engine Optimization) is the practice of optimising content to be selected, quoted and recommended inside AI answers from ChatGPT, Gemini, Perplexity and Google AI Overviews. Traditional SEO optimises for ranking blue links; GEO optimises for being the source the model cites. This tool scores both, plus AEO (answer-engine / featured-snippet readiness).
GEO Agent-Readiness measures how well an AI agent can extract, attribute and cite a section of your page. Agents like ChatGPT’s retrieval pipeline, Perplexity’s source ranker and Google’s AI Overview generator all work this way. A GEO Agent-Readiness Checker like this one audits each individual section of the page (not just the page as a whole) and reports whether it can be lifted as a citable passage by an LLM.
It runs 26 deterministic signals across 7 weighted dimensions: Alignment (18%), Substance (22%), Architecture (16%), Style (8%), Framing (14%), Proof (14%) and Technical & Crawl (8%). Each signal returns a 0–100 score with a plain-English explanation of what was detected and a fix to apply. The composite is your LLM-Ready score; you also get separate GEO, AEO and SEO sub-scores.
The tool renders the page, then evaluates it against the 26 signals. Each signal returns a 0–100 score; dimensions are weighted (Substance 22%, Alignment 18%, and so on) into one composite index, plus separate GEO, AEO and SEO sub-scores. Fixes are ranked by impact (the gap on each signal multiplied by the dimension’s weight), so the top suggestion is always the highest-leverage one.
An SEO audit tells you why a page won’t rank. A GEO content checker tells you why an LLM won’t cite it. The signals overlap on technical basics (single H1, schema, canonicals) but diverge sharply on content shape: entity density, claim-style headings, liftable first sentences, comparative framing and verifiable proof. A page can pass Lighthouse SEO and still be invisible inside ChatGPT, Claude, Gemini and Perplexity answers.
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