What we measure, how, and what we never promise.

What we measure

Every audit and every monthly re-audit runs the same battery: 12 localized prompts — four intents (discovery, recommendation, comparison, task-specific) × three phrasings each — against five AI systems: three frontier chat models (GPT-, Claude-, and Gemini-class, queried through one API gateway), Perplexity's live-search model, and Google AI Overviews. That's 60 sampled answers per run.

Each response is stored raw, with a UTC timestamp. Reports quote answers verbatim. We never edit, paraphrase, or fabricate a model output — if a report ever shows simulated data (for design previews), it is stamped SAMPLE — SIMULATED DATA on every page.

The score

The BizWhiz Visibility Score (0–100) weights four components:

• Mention rate — 50%. The share of prompt × model runs where your business is named at all. This is the headline number because it is the closest thing to "does AI recommend you."
• Prominence — 20%. First-mentioned reads differently than buried in a list. We measure where in the answer you appear.
• Sentiment / accuracy — 15%. When AI does describe you, is it right — correct city, correct services, no stale or negative claims?
• Source presence — 15%. Whether your site and profiles appear among the sources the answers cite. If AI's sources don't know you, AI doesn't either.

Alongside the score: competitor share of voice (who is getting named) and the citation-source inventory — the domains the AI answers actually drew on. The inventory is the work order: presence on those exact sources is most of the job.

The fix

The Foundation sprint ($750, two weeks) repairs what audits most often find broken: missing or malformed structured data (schema), inconsistent name/address/phone across directories, a thin Google Business Profile, no llms.txt, no pages that answer the questions customers ask AI. The Recommended plan ($497/mo) then does the compounding work: building presence on the cited domains, keeping review velocity healthy, refreshing Q&A content, and re-running the battery monthly so progress is measured, not asserted.

What we never promise

• We do not guarantee rankings, mentions, citations, lead volume, or revenue. AI answers are probabilistic and change with time, phrasing, and model versions.
• We do not claim partnership with or endorsement by OpenAI, Anthropic, Google, or Perplexity. We measure their public products.
• We do not use fake reviews, review gating, private blog networks, or anything that puts your profiles at risk. The work is structured data, real content, real citations, real reviews asked for the right way.

What you can hold us to: a documented methodology (this page), a monthly work log of what we did, and timestamped before/after samples you can check yourself.

Why monthly sampling is honest

A single AI answer is an anecdote. Sixty answers, same prompts, same systems, month over month — that's a measurement. Trendlines over snapshots; samples over stories.