Get cited by the
answer engines.
ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews — they all fetch your pages, parse your schema, and decide whether to cite you. Audit your AEO surface programmatically. Get a remediation checklist, not a screenshot.
Search is changing. So is "ranking."
Google's AI Overviews already account for more than 50% of zero-click impressions on informational queries. Perplexity cites sources directly. ChatGPT's browse mode fetches your page and cites what it finds. The new SEO is: can a model read your page, trust it, and quote it. AEO is the audit surface for that question.
Make your page legible to crawlers
JSON-LD, OpenGraph, semantic headings, llms.txt, ai-license. We score each signal and tell you which ones are missing.
Earn the citation
Snippet-readiness, freshness, schema coverage, citation EEAT signals — the things that actually drive whether a model quotes you instead of a competitor.
Check what the model actually sees
The LLM fetch simulator hits your page with GPTBot, ClaudeBot, PerplexityBot user-agents and returns the bytes they get back. No more guessing.
10 AEO endpoints, one Bearer token.
Every endpoint is credit-metered, returns structured JSON, and works with curl, the MCP server, or any HTTP client. No browser automation, no screenshots — just signals your agent can reason about.
Page audit
Composite AEO score for a URL. Aggregates schema, meta, headings, freshness, fetch-simulator, and citation signals into one report.
Citation readiness
Score a page against post-ChatGPT EEAT signals — author, dates, sources, structured data. Tells you why a model would (or wouldn't) cite you.
Schema coverage
Inspect JSON-LD, microdata, RDFa coverage. Flags missing rich-result types for the content you've actually written.
LLM fetch simulator
Hits your URL as GPTBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended. Returns response body, headers, and whether you served or blocked them.
AI-bot allowlist audit
For 14 named AI crawlers, report whether your robots.txt allows or blocks each one. Catches accidental blocks from over-eager bot-management rules.
llms.txt audit
Validate your /llms.txt against the emerging AEO-readiness convention. Structure check, section coverage, link rot (up to 50 links).
Freshness signal
Score a page's date signals — dateModified, datePublished, Last-Modified, sitemap lastmod, visible "updated on" copy. Stale content loses citations.
Snippet format detect
Classify what kind of snippet your page is best positioned to win — list, table, paragraph, comparison, how-to — and flags the gaps.
Heading hierarchy
Scores your H1/H2/H3 tree. Models lean on heading structure to chunk pages for retrieval; a broken hierarchy hurts retrieval recall.
Competitor diff
Diff your AEO surface against a competitor URL. Side-by-side schema, freshness, citation-readiness — find the specific gaps to close.
One call. Full audit.
The page-audit endpoint composes the others. Hand it a URL, get back a score and a structured remediation list your agent can act on.
# Request
curl https://api.ollagraph.com/v1/aeo/page-audit \
-H "Authorization: Bearer $OLLAGRAPH_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com/blog/post"}'
# Response (abridged)
{
"status": "success",
"url": "https://example.com/blog/post",
"aeo_score": 72,
"signals": {
"schema_coverage": { "score": 85, "missing": ["Article.author"] },
"citation_readiness": { "score": 68, "flags": ["no_visible_dateModified"] },
"freshness": { "score": 55, "age_days": 412 },
"llm_fetch": { "gptbot": "200", "claudebot": "200", "perplexitybot": "403" }
},
"remediation": [
{ "priority": "high", "fix": "Add visible 'Updated on' line in template" },
{ "priority": "high", "fix": "Unblock PerplexityBot in robots.txt (currently 403)" },
{ "priority": "med", "fix": "Populate Article.author in JSON-LD" }
]
}The specs our audits check against.
AEO isn't folklore — it rests on public standards that answer engines actually implement. Our audits validate your pages against the primary sources:
- RFC 9309 — Robots Exclusion Protocol (IETF, 2022): the robots.txt standard our AI-bot allowlist audit parses for each named crawler.
- JSON-LD 1.1 (W3C Recommendation): the structured-data format the schema-coverage endpoint scores.
- RFC 9116 — security.txt (IETF, 2022): one of the machine-readable conventions crawlers increasingly read.
- Large language models (Wikipedia): how the models that cite you actually read and chunk a page.
- Retrieval-Augmented Generation (Lewis et al., 2020): the retrieval pattern behind why structure and freshness decide what gets quoted.
Run your first audit.
1,000 credits on signup. No card required. Most AEO endpoints cost 1 credit per call. page-audit and competitor-diff each cost 3 (they fan out across 8–9 component probes internally).