All citation bots allowed
Priority fixes
Highest-impact changes, ranked
Ranked by category weight × check weight × gap to passing. Fix these first.
- 1
JSON-LD structured data is present
No Schema.org JSON-LD detected. Engines must infer meaning from prose — costly and error-prone.
Fix: Add JSON-LD for Organization + WebSite on the homepage, and page-type schema (Article, Product, FAQPage) elsewhere. Use the free generator below.
- 2
Organization / brand entity is declared
No Organization schema. This is the anchor of your entity graph.
Fix: Add an Organization block with name, url, logo, description, and sameAs.
- 3
Page-type schema matches content
Only site-level schema present; the page itself is undescribed.
- 4
Question-phrased headings
No headings phrased as questions. Answer engines match prompts to headings semantically — question phrasing lifts recall.
Fix: Rewrite key H2s as the literal question a buyer would ask, followed by a 40–60 word direct answer.
- 5
Answer-first opening paragraph
No paragraph copy found near the top.
AI crawler access
Who can read your site
Evaluated from https://google.com/robots.txt. Search and assistant bots produce citations; training bots are a separate policy decision.
Live search / citations
6 bots- OAI-SearchBotOpenAI
- Claude-SearchBotAnthropic
- PerplexityBotPerplexity
- GooglebotGoogle
- BingbotMicrosoft
- YouBotYou.com
On-demand user fetch
6 bots- ChatGPT-UserOpenAI
- Claude-UserAnthropic
- Perplexity-UserPerplexity
- AmazonbotAmazon
- DuckAssistBotDuckDuckGo
- MistralAI-UserMistral
Model training
8 bots- GPTBotOpenAI
- ClaudeBotAnthropic
- Google-ExtendedGoogle
- Applebot-ExtendedApple
- meta-externalagentMeta
- BytespiderByteDance
- CCBotCommon Crawl
- cohere-aiCohere
Full breakdown
Every signal, with evidence
AI Crawlability
Can answer engines reach, fetch, and index your pages?
Structured Data
Is your content described in machine-readable Schema.org?
Answer-Ready Content
Is the page organized the way LLMs extract answers?
Entity & Brand Signals
Do engines know who you are and trust the source?
Technical Foundation
Canonicalization, metadata, and delivery hygiene.
Freshness & Discovery
Sitemaps, feeds, and recency signals engines rely on.
Next step
Turn a 50 into a 90+ — with agents that do the work.
AEOSurge fixes schema, rewrites answer blocks, publishes llms.txt, and re-audits weekly so you stay cited. Book a 20-minute walkthrough using this audit as the agenda.