Technical, organic, map pack, and AI-citation findings land in a live dashboard and a PDF, phased into an action plan, delivered under the agency's own name.
Agencies selling audits either buy a generic template that reads the same for every client, or spend a consultant's week building one from scratch. Neither holds up when a client expects results back inside days, and neither covers the newer question clients now ask: whether the business shows up when someone asks an AI engine instead of Google.
One audit engine covers five areas, technical health, organic search, the map pack, AI citations, and competitors, and outputs both a live dashboard and a PDF. Every audit ships under the agency's own branding, with a phased action plan attached rather than a raw findings dump. Two engagements ran through it: a US cosmetic clinic audited through its agency, and a Scottish estate agency audited directly.
Site architecture, indexation, Core Web Vitals, and structured data are crawled and checked against a fixed set of technical criteria.
Ranking and visibility data covers organic search and, for the estate agency, the local map pack.
The same brand is checked across AI engines for whether it's mentioned and whether it's cited as a source.
The same checks run against a set of named competitors, so findings sit next to a comparison rather than in isolation.
Findings compile into a live dashboard and a PDF, both under the agency's branding, with fixes grouped into phases rather than one long list.
20 minutes. No slides. One process, one prototype.
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