Know what AI tells your next customer

Build a question set around the choices customers make. Inspect answers from services such as ChatGPT, Claude, Perplexity and Gemini, recording the engine, date and available sources.

See where your brand is absent, accurately represented, confused with another company or described incorrectly. The audit includes the answer evidence and a prioritized plan. Explore the audit ↗

Keep appearance, citation share and recommendation rate separate. A passing mention is not the same as a recommendation, and a cited source may not be your own site.

Repeat a stable question set to compare changes over time, with sampling limits and uncertainty attached. Add new questions deliberately so a changing test does not masquerade as improving performance.

Clarify product facts, identity, structured data and content. Investigate the sources behind incorrect answers and prepare corrections or stronger supporting material.

Develop original information worth citing and useful answers to customer questions. No content change can guarantee placement in an independent engine's response.

Review how a buying agent can find products, compare fit, inspect trust information and discover an available action. Improve the product data, feeds and supported interfaces it can use.

Coordinate that work with the human customer journey. Machine-readable information should agree with the prices, terms and capabilities people see on the site.

• An evidence-backed AI visibility audit.
• Ongoing appearance, citation and recommendation measurement.
• Content, entity and data improvements with authorized publication.
• A clearer path for people and buying agents to understand the business.