01Pass 1 of 5
Crawler-access analysis
We test all 14 known AI crawlers — GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended, Applebot-Extended — against your robots.txt and live HTTP responses. Most sites silently block at least three.
“Most sites silently block at least three engines.”
02Pass 2 of 5
Schema discovery
JSON-LD validation across Organization, Service, FAQPage, Article, BreadcrumbList, Person, and the @id graph that links them. We score against the schema profiles Google Rich Results and Bing Copilot actually consume.
“Schema is the entity graph. Without it, you’re a string.”
03Pass 3 of 5
Citability scoring
Passage-level extractability. Every paragraph and list item is scored on length, density, and self-containment. Thin passages get rewritten; citable ones get reinforced. The score is reproducible.
“A citation is a passage strong enough to leave the page.”
04Pass 4 of 5
Brand-mention scan
We crawl Reddit, Quora, G2, Capterra, Wikipedia, and industry directories for existing brand mentions, then map where the AI engines pull from for queries you should win. Gaps become a placement plan.
“AI engines cite their sources. We make sure you’re one of them.”
05Pass 5 of 5
Platform benchmarking
10 reference queries per engine across ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. We log the answer, the sources cited, and the gap between your brand and the consensus. This becomes the baseline we beat.
“Score, baseline, beat. Then repeat.”