Get your content cited by ChatGPT, Claude, and Perplexity
AEO is the new SEO. When millions ask AI assistants instead of searching, the brands that get cited win. Our AEO audit measures whether answer engines can crawl, parse, and confidently cite your content, then tells you exactly what to fix.
AEO checks across 3 categories
AI crawlers verified: GPTBot, ClaudeBot, PerplexityBot, Google-Extended
point AI-readiness score
What this audit actually checks
Every check below runs on every scan. No black boxes: this is the exact coverage you get.
| Category | Checks |
|---|---|
| AI crawlability | 6 |
| Answer-ready content structure | 6 |
| Citation-readiness | 4 |
AI crawlability
Before an answer engine can cite you, its crawler has to be allowed in. Most sites block AI bots without knowing it.
OpenAI GPTBot access
Verifies ChatGPT's crawler can ingest your content, the prerequisite for being cited in its answers.
Anthropic ClaudeBot access
Confirms Claude's crawler isn't blocked in your robots.txt.
PerplexityBot access
Perplexity cites sources in real time. A blocked crawler means zero visibility in its answers.
Google-Extended access
Checks the directive that controls Gemini and AI Overview training access, separate from normal Google search.
Crawl delay limits
Flags aggressive crawl-delay rules that throttle AI crawlers out of your content.
llms.txt presence
Detects the emerging llms.txt standard that gives AI models a clean, structured summary of your site.
Answer-ready content structure
AI engines extract answers, not pages. Content structured as questions, direct answers, and lists gets reproduced; walls of text get skipped.
Q&A formatting
Checks whether headings are phrased as the questions users actually ask AI assistants.
Direct answer paragraphs
Verifies each heading is followed by a concise, definitive paragraph, the snippet AI engines lift verbatim.
Structured lists
Confirms complex information is broken into bulleted and numbered lists that language models parse reliably.
Data tables
Detects tabular data, the format LLMs synthesize and compare most accurately.
FAQ & HowTo schema
Validates the rich Schema.org types that hand answer engines pre-structured Q&A data.
Content depth
Measures whether coverage is comprehensive enough for AI models to treat your page as a primary source.
Citation-readiness
AI engines weigh trust signals when choosing whom to cite. These checks measure whether your content earns the citation.
Author & freshness signals
Verifies identifiable authorship and visible publication dates. AI engines prefer accountable, current sources.
Canonical source attribution
Ensures your domain gets credited as the original source, not a scraper or syndicator.
Expert credentials (E-E-A-T)
Checks author bios and Person schema that establish the expertise behind your content.
Source citations
Confirms outbound links to authoritative references. Models trust content that shows its work.
Everything your team needs to act
A score without a fix list is trivia. Every report pairs measurement with prioritized, copy-ready remediation, including AI-native fix prompts for your coding assistant.
AI-readiness score with category breakdown: Crawlability, Content Structure, Citation-Readiness
An AI answer preview showing how an answer engine would extract and present your content
Competitor AEO comparison that shows who's better positioned to be cited in your space
AI deep analysis (Pro): citation likelihood rating, answer format suggestions, and question coverage gaps
From URL to fix list in three steps
Enter any URL
No installs, no code snippets, no DNS changes. Every audit starts from a single URL, yours or a competitor's.
Scanners do the work
Purpose-built engines audit security, SEO, AEO, GEO, brand visibility, and site health, with each check scored and severity-ranked.
Fix with AI-ready prompts
Every finding ships with plain-language remediation and an agent-native fix prompt you can paste straight into your AI coding assistant.
Frequently asked questions
Sources & further reading
- Question answering— Wikipedia
- The llms.txt specification— llmstxt.org