Scored audit methodology
The staged audit walkthrough: indexation and crawler access, extractability, definition leads, schema stacking, citation tracking — each check scored and severity-ranked.
The GEO Audit Kit is a white-label AI-search audit system for freelancers and small agencies — a scored methodology, client-ready report templates, and per-engine test prompts for ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.
$129once
Version: v1.0
Method: 23 checks / 100 pts
Engines: 5
Report: White-label
Everything below is typeset from the v1.0 documents you download: two of the four scored sections, the white-label report your client receives, and the scoring model that keeps every grade honest.
The staged audit walkthrough: indexation and crawler access, extractability, definition leads, schema stacking, citation tracking — each check scored and severity-ranked.
The client-facing deliverable: rebrandable report with scoring summary, per-engine findings, and a prioritized punch list. Your logo, your invoice.
Structured grounding-query sets for ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — how to run them, how to log citation presence honestly.
The measurement spreadsheet: baseline capture, monthly citation checks, movement over time — dated so attribution survives.
How to package the audit as an entry engagement: scoping language, honest-claims guardrails (no ranking promises), and the follow-on retainer bridge.
This is not a template someone made once and abandoned. It is extracted from doctrine this studio runs on, and these are the real dates that doctrine changed. You buy v1.0 once; every v1.x amendment ships to you free.