Presence
Measures whether the brand appears, how it ranks, where competitors win, and which answer patterns create demand leakage.
Presence + TruthLayer + PromptMap
A structured audit of how AI answer engines describe your brand, which competitors they surface, what sources they trust, and which public pages need to become agent-readable truth.
Audit Spine
Presence, TruthLayer, and PromptMap all read from the same traceable model: prompts, prompt runs, AI answers, citations, competitor mentions, truth claims, evidence, page recommendations, audit reports, and leads.
Measures whether the brand appears, how it ranks, where competitors win, and which answer patterns create demand leakage.
Connects claims, evidence, source pages, citation freshness, and page work so AI has something accurate to cite.
Maps buyer journey prompts, intent clusters, visibility gaps, and the next prompts to test after page improvements.
What The Audit Creates
Canonical positioning, market context, product lines, competitors, and tracked claims.
Buyer, category, competitor, and trust prompts grouped by intent and journey stage.
Answer summaries, brand position, sentiment, citations, competitor mentions, and confidence.
Claims, evidence items, citation sources, proof gaps, and page work required for citation readiness.
Page-level actions tied directly to prompts, claims, answer behavior, and competitor pressure.
Scores, risks, findings, prioritized actions, and a next-run plan for future prompt testing.
Output
Presence score, TruthLayer score, prompt coverage, competitor pressure, and citation readiness.
Turn unsupported claims and thin pages into source-of-truth pages answer engines can cite.
Run next prompts after page changes to see whether answers improve and competitors lose ground.
The same data spine can later support recurring visibility checks and TruthLayer maintenance.
Lead Capture
Share enough context to identify the right first prompt set, proof gaps, and website pages to review.