A repeatable audit, interpreted by a human.
The evidence collection is standardised. The questions, competitors, business facts and final priorities remain specific to the client.
The standard 24-call baseline
The standard audit uses six buyer-style questions, two web-grounded AI providers—OpenAI and Anthropic—and two runs of every question on each provider.
Perplexity can be added when its audience or citation behaviour is commercially relevant. Expanded work may use a 72-call profile, additional markets or deeper citation analysis.
The delivery sequence
Scope and intake
Agree the business, website, market, products or services, competitors, decision-maker and whether implementation is included.
Canonical facts
Confirm the names, contact details, service area, leadership, services, prices, profiles and any real accreditations.
Query design
Write questions as prospective customers would ask them, without naming the client or forcing a desired answer.
Preflight
Run a small smoke test to confirm authentication, live web search, source capture, name matching and query scope.
Baseline
Run the approved profile unchanged. Every result is saved immediately with its provider, model, timestamp, response and sources.
Website review
Inspect initial HTML, indexability, metadata, schema, services, canonical facts, trust evidence, listings and stale information.
Analysis
Calculate recommendation frequency, competitor recurrence, provider differences, cited domains and factual errors.
Report and QA
Verify headline counts from the raw file, inspect the final PDF, remove unsupported claims and distinguish findings from hypotheses.
Results call
Confirm facts, explain priorities, assign ownership and scope implementation separately where needed.
Remeasurement
After changes have had time to propagate, rerun the same questions and providers and preserve the new dated snapshot.