Prime Sentia / AI Engine Auditor
00 · Citation & Visibility Auditor

AI Engine Auditor.

Citation & Visibility for Generative Engines.

Measure where your brand appears in ChatGPT, Gemini, Perplexity, and Google. Generate an actionable roadmap. Resolve tasks without leaving the platform.

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Why AI Engine Auditor?

Position

Traditional SEO is not enough.

AI engines retrieve and cite differently than search engines rank.

What changed

Users now ask ChatGPT, Gemini, and Perplexity before they ever open Google. The signals that drive a citation in a generative answer are not the same signals that drive a ranking in a SERP — entity clarity, structured data, citation-ready content, and Core Vitals all matter more.

What AI Engine Auditor does

Measures your brand against the 26 signals defined in a pre-registered OSF study (DOI 10.17605/OSF.IO/XCG7J). Probes four AI engines in parallel using their native structured citations. Returns deterministic scores plus a prioritised roadmap.

What you audit

01Generative engines

ChatGPT · Gemini · Perplexity · Claude

How each conversational engine retrieves and cites your brand: native search-tool citations, structured offsets, and provider-specific behavior.

02AI search

Google AI Overviews · Bing Chat

Where you appear in the synthesized answer surfaces that sit above traditional search results, and what content is being summarized.

03Traditional search

Google · Bing

Classic SERP coverage as the cross-check against AI surfaces — same brand, two retrieval models, two visibility scores.

What you get

  1. 01
    Citation Readiness

    26 pre-registered on-page signals across entity representation, content structure, authority, and citation readiness. Each signal maps to a concrete fix.

  2. 02
    Core Vitals

    Lighthouse-grade Performance, Accessibility, Best Practices, and SEO via an in-platform Core Vitals agent. Real measurements, not estimates.

  3. 03
    Brand Visibility

    Parallel probing across OpenAI, Anthropic, Google, and Perplexity to measure where your brand shows up in cited answers — and where it doesn't.

  4. 04
    Actionable Roadmap

    A 30/60/90-day execution plan prioritised by lift-vs-effort, with every recommendation tied back to the signal and page that triggered it.

  5. 05
    Task Resolution

    A per-task resolver that produces the actual fix code plus a verifySignal. Resolve tasks without leaving the platform.

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Backed by research

Provenance

Every signal carries documented empirical provenance, not a marketing claim.

Underlying researchDOI 10.17605/OSF.IO/XCG7JLluís Oleart

AI Engine Auditor implements an observational study of 26 on-page GEO signals across a stratified sample of 2,000 websites. Study design, variable definitions, and analytical plan were registered on the Open Science Framework on 2026-04-19, before any data was collected. The methodology is available publicly and citable.

Pre-registered methodology
DOI 10.17605/OSF.IO/XCG7J

Open Science Framework · Observational study · 2,000 sites · 26 signals · By Prime Sentia.

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