These are the words you’ll see in your report.
A measurement of how often your business is included in AI recommendations for high-intent prompts across selected surfaces. Think “how frequently I get picked,” not “how pretty my website is.”
The practice of improving the chances that generative systems include your brand in answers. In practice, it’s a mix of: entity clarity, trust signals, content that matches intent, and a real citation footprint.
A system we run prompts against (ChatGPT, Gemini, Perplexity, etc.). We keep surfaces separate so you can see exactly where you’re missing.
A standardized list of high-intent questions (industry + location variations). The point is consistency, so you can compare runs over time.
How many surfaces include you at least once. A strong score with weak coverage means you’re concentrated; broad coverage is more defensible.
A signal of how stable/clear the measurement is. Higher when results are consistent and the entity match is unambiguous. It’s not a guarantee — it’s a “how much should I trust this run.”
Confirming the exact business being measured (name + location + domain signals) so the report doesn’t accidentally score a similar brand.
Public information that can help establish business identity, credibility, service relevance, and third-party corroboration: clear About and Contact pages, consistent name-address-phone details, appropriate structured data, and reputable mentions across the web.
A downloadable, machine-readable record of the run. It preserves inputs, outputs, scoring data, and evidence so the audit can be reviewed and verified.