The ARC Method: A Framework to Audit Your Brand's AI Search Visibility

By Cory Maki · Jun 4, 2026

The ARC Method is a repeatable framework for auditing how AI search engines see your brand: Audit what they say, Review the sources driving it, and Correct the ones that matter. This page is the step-by-step process. If you're first asking what an AI search audit is and whether you need one, start with the AI search audit guide — then come back here to actually run it.

The point of a framework is to keep an audit from becoming a pile of screenshots. ARC turns "what does AI say about us" into a scored, prioritized plan.

A — Audit: measure what AI actually says

Start with your real buying questions — the prompts a prospect genuinely uses, not your branded terms. Run each across ChatGPT, Perplexity, Gemini, and Google AI Overviews, and for every answer record four things:

• Presence — are you named at all, and against which competitors?
• Share of voice — of the brands named for a question, what fraction is you?
• Accuracy — is what's said about you correct and current?
• Sentiment — is the framing helping or quietly hurting you?

Screenshot everything with dates; AI answers shift, and you'll want the baseline.

R — Review: find the sources deciding the answer

This is the step most "audits" skip, and it's the one that makes the work actionable. For each answer, note what the engine cited — the specific pages and domains it leaned on. Patterns emerge fast: in most categories the deciding sources are third parties, not your own site. Software answers get built from Reddit and community threads; local and service categories from review platforms and directories. Track it over time with a single metric — citation share — so you can see movement, not just a snapshot.

The output of Review is a ranked list of the sources that actually control your visibility.

C — Correct: fix the sources that move the needle

Now act, in priority order:

• Absent from the answer? Earn presence in the sources AI trusts for your category — not more pages you control.
• Described wrong? Correct the underlying sources and firm up your entity and Knowledge Panel so engines resolve you accurately.
• Losing specific questions? Build the content and citations that answer exactly those prompts, where AI looks.

Then re-run the Audit step on a schedule. ARC is a loop, not a one-off — visibility drifts as sources and models change.

Where ARC fits

Auditing is the measurement layer of generative engine optimization: you can't improve what AI says about you until you've measured it and traced it to its sources. If you'd rather see the results than run the loop by hand, the free AI visibility report delivers the Audit and Review steps done for you, and working together covers the Correct step.