B2B SaaS GEO & AI Search Readiness Checker
Is your content structured for ChatGPT, Claude, and Google AI Overviews? Answer 10 quick diagnostic questions—get an instant readiness score out of 100 and a prioritized fix list.
Do you publish clean, validated schema markup (JSON-LD) on every key page?
Organization, Author, Article, Product, FAQ, and BreadcrumbList schemas are the baseline for LLM extraction.
Does your content answer questions in a conversational, direct way LLMs can quote?
Short, definitive statements, definition boxes, and TL;DR sections help models extract citable snippets.
Do you have a public author/entity page with credentials, bios, and E-E-A-T signals?
LLMs attribute and weight content from identifiable, credentialed authors and organizations.
Is your content factually sourced with citations, data, and primary research?
Models preferentially cite content with verifiable statistics, original data, and outbound references.
Does your site have an FAQ section, definitions, and “People Also Ask” style content?
These formats are the most commonly extracted by AI Overviews and chat-based answer engines.
Is your robots.txt allowing GPTBot, ClaudeBot, PerplexityBot, and Google-Extended?
If these crawlers are blocked, your content cannot be indexed for AI-driven answers.
Do you maintain an llms.txt or machine-readable content summary?
A standardized file that tells LLMs which pages matter, in priority order.
Does your content have a clear topical cluster with strong internal linking?
LLMs build entity maps from internal link graph. Orphaned or weakly connected pages get de-weighted.
Are your statistics, dates, and product details updated within the last 6 months?
Models penalize stale content. A visible “last updated” date and dated sources improve citation rates.
Do you actively monitor AI Overview citations and LLM referrals in analytics?
Tracking AI-driven traffic and citations closes the loop—you can’t improve what you don’t measure.