What Does AI Say About Your Business? 7 Facts to Check
Check how AI describes your business with a seven-fact audit: identity, services, audience, location, pricing, conditions and evidence.
Read the articleFind out how AI describes your business, check the evidence behind its answers and connect observed visibility to real website visits and inquiries.
Check how AI describes your business with a seven-fact audit: identity, services, audience, location, pricing, conditions and evidence.
Read the articleMeasure AI citations, brand mentions and recommendations separately with clear cohorts, evidence records, denominators and rules for missing observations.
Read the articleA credible AI visibility audit is a baseline, not a score designed to sell software. It maps buyer prompts, engine responses, cited sources, entity…
Read the articleCheck how AI describes your business with a seven-fact audit: identity, services, audience, location, pricing, conditions and evidence.
Read the articleReview AI reputation claims fairly: distinguish opinion from fact, inspect cited reviews and correct current information without inventing a ranking rule.
Read the articleUse an evidence-led response to unsupported AI claims: preserve the answer, verify facts, correct sources and track what remains unresolved.
Read the articleBuild an About page that clearly explains identity, offer, audience, people and evidence, with a practical outline and before-and-after examples.
Read the articlePrioritise conflicting business listings, write precise correction requests and track source updates separately from changes in AI answers.
Read the articleUntangle similar company names with an identity audit covering domains, locations, products, official profiles and current business relationships.
Read the articleClarify service boundaries, discontinued offers and unsupported capabilities with concrete before-and-after examples and a source correction checklist.
Read the articleMake customer fit clear with real eligibility criteria, service limits and paired review questions that separate visibility from suitable recommendations.
Read the articleCorrect branch addresses, appointment rules and opening hours across your website and public profiles with a practical location review process.
Read the articleDiagnose an inaccurate ChatGPT business description, trace the claims to sources and choose the right correction without guessing the cause.
Read the articleFind stale prices and missing billing conditions across your website and external sources, then publish and verify a precise pricing correction.
Read the articleExplain a rebrand accurately across current pages, historical content and official profiles so customers can understand the old and new identities.
Read the articleDiagnose the gap between a corrected website and an unchanged AI answer: publication, access, source selection, conditions and comparable follow-up checks.
Read the articleTurn 16 B2B AI visibility observations into decisions: diagnose collection gaps, inaccurate answers, weak buying relevance and problems after the click.
Read the articleTurn observed AI citations into a weekly operations journal: review changes, investigate source gaps, assign improvements and verify the outcome.
Read the articleAssign owners to prices, product claims, identity and location facts, then use a practical approval, publishing and verification process to keep them current.
Read the articleDefine 12 AI visibility metrics with explicit denominators, examples and limits: observations, citations, recommendations, referrals and qualified inquiries.
Read the articleFreeze a usable AI visibility baseline before editing: save source versions, question panels, answer evidence and a change log that supports an honest retest.
Read the articleTurn broad business claims into checkable evidence with a proof matrix, case-study structure, claim register and examples of responsible wording.
Read the articleReport AI visibility with costs, evidence, qualified outcomes and uncertainty. Use a practical monthly memo to decide whether to continue, change or pause.
Read the articleLearn what ChatGPT tests, API observations, citations and referral analytics can measure, and where visibility and revenue claims exceed the evidence.
Read the articleA credible AI visibility audit is a baseline, not a score designed to sell software. It maps buyer prompts, engine responses, cited sources, entity…
Read the articleAI visibility is how accurately your business is found, understood and cited in AI answers. Learn what to measure and how to improve it.
Read the articleA healthcare citation workflow that distinguishes provider facts from clinical claims, verifies supporting sources, protects patient information, and records corrections.
Read the articleMeasure AI citations, brand mentions and recommendations separately with clear cohorts, evidence records, denominators and rules for missing observations.
Read the articleBuild a fair B2B AI visibility benchmark with a fixed question panel, separate citation and recommendation metrics, clear denominators and reproducible records.
Read the articleDesign a GEO dashboard with separate evidence, AI answer, traffic and action views. Learn the data QA checks that keep missing measurements out of success charts.
Read the articleBuild and version a buyer-question panel for GEO: choose genuine buying questions, separate brand controls, preserve markets and avoid biased comparisons.
Read the articleBuild an evidence-based attribution model for AI referrals, GA4 events and CRM outcomes, with clear source fields, joins and reporting limits.
Read the articleConnect buyer questions, useful landing pages and qualified inquiries. Learn what to measure at each step without treating AI mentions as leads.
Read the articleBuild a credible AI visibility case study with baseline evidence, qualified-lead definitions, costs and limits. Includes a clearly fictional worked example.
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