Forge audit · Sep 2, 2026, 5:28 PM · 18.1s
catchrestaurants.comopen
Catch | Seafood, Sushi, and Steak
All citation bots allowed
Priority fixes
Highest-impact changes, ranked
Ranked by category weight × check weight × gap to passing. Fix these first.
- 1
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.
- 2
Primary content is server-rendered
JavaScript rendering was required (Forge escalated to the "browser" tier) to surface your 2,178 words of content. Most AI crawlers do not execute JavaScript, so they see little or none of it.
Fix: Server-render or pre-render key content (SSR/SSG) so headings, FAQs, and product copy exist in the initial HTML.
- 3
sameAs links reconcile your entity
2 sameAs references in Organization schema.
Fix: Add sameAs for LinkedIn, Wikidata, Crunchbase, YouTube, and X.
- 4
Page-type schema matches content
Only site-level schema present; the page itself is undescribed.
- 5
llms.txt guides language models
No /llms.txt. This emerging standard gives models a curated map of your most citable pages.
Fix: Publish /llms.txt with a one-paragraph brand summary and links to your canonical docs, product, and FAQ pages.
AI crawler access
Who can read your site
Evaluated from https://www.catchrestaurants.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 81 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.