Five layers. One score per layer. Never one composite.
HoldThat measures AI visibility the way real engineers measure systems: discrete layers, real evidence, re-runnable results. No vibes. No vanity score.
Technical
Crawl health, render integrity, structured data coverage.
Schema coverage / indexed pages
- Crawl access for GPTBot, PerplexityBot, Google-Extended, ClaudeBot, CCBot
- Server-rendered HTML vs JS-only rendering
- Structured data coverage (Organization, Article, Product, FAQPage, BreadcrumbList)
- Canonical hygiene across paginated and faceted URLs
- Per-bot fetch logs
- Rendered vs raw DOM diff
- Schema validator output per page type
Semantic
Topic clustering, intent mapping, answer-ready content.
Intent-mapped topics / total topics
- Topic cluster coverage vs buyer intent map
- Answer-readiness of priority pages (question framing, definition blocks, comparison tables)
- Internal linking density from cluster pillars to supporting articles
- Intent-to-page mapping spreadsheet
- Per-page answer-readiness score with example excerpts
Entity & Trust
Author bios, entity graph, third-party citations.
Verified entity nodes mapped
- Founder, author, and operator entity nodes
- sameAs links to LinkedIn, Crunchbase, GitHub, professional registries
- Third-party citations and unstructured mentions across review surfaces
- Entity graph diagram
- Citation source list with date stamps
AI Presence
Citation rate and position across 5 generative engines.
Cited prompts / total prompts × engine
- Per-engine prompt test across 5 generative engines
- Citation rate, position, and competitor displacement
- Brand mention vs domain citation vs no mention
- Prompt × engine matrix
- Screenshot per prompt run with timestamp
- Raw engine response stored for re-verification
Business Impact
Assisted conversion attribution from AI-referred sessions.
AI-assisted conversions / period
- Sessions referred from AI engines
- Assisted conversions tied to AI-referred touches
- Pipeline contribution from AI-attributed sources
- GA4 / Plausible export of AI-tagged sources
- Assisted-conversion model output
A score you can't re-run is a slideshow.
Most AI audit reports are PDFs frozen in time. HoldThat stores every prompt, every engine response, and every screenshot as a versioned record. Next quarter you re-run the same prompts and compare to a fixed baseline — no methodology drift, no moving goalposts.