Audit
Map category prompts, current answers, competitors cited, and gaps in your entity footprint. Establish a baseline for found / cited / correct—before changing anything.
Method
A practical loop: understand how answer engines talk about you today, harden on-site citability, earn corroborating mentions, then measure with a living prompt panel.
Map category prompts, current answers, competitors cited, and gaps in your entity footprint. Establish a baseline for found / cited / correct—before changing anything.
Rewrite and structure pages so claims are answer-first in HTML: clear definitions, FAQs that match real questions, schema that mirrors visible copy, technical crawl health.
Build corroboration where answer engines and humans already look: references, listings, expert quotes, and partner pages that name you consistently—not spammy link schemes.
Run a fixed set of prompts on a schedule. Score whether you are found, cited, and correctly described. Feed misses back into the audit. See Measurement for the methodology.
We won’t promise rankings inside proprietary models, fabricate case studies, or optimize for deceptive answers. Orb’s Hong Kong experiment is deliberately measurement-honest: results are published when they exist—not invented to fill a landing page.
Share your category and a few prompts customers already ask. We’ll tell you what’s found, cited, and correct today.