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 articleArrow Journal40 articles
Find 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 articleAI buying journey3 guides
How do buyers move from an AI answer to a verified purchase decision?

What buyer research says about ChatGPT, SaaS discovery and purchase decisions—and why people still check Google, Reddit, reviews and product trials.

Seven signals an AI agent needs before it can put your business on a shortlist: fit, price, availability, location, next step, proof and consistency.

Turn broad business claims into checkable evidence with a proof matrix, case-study structure, claim register and examples of responsible wording.
AI visibility, answered7 guides
What is actually true about ChatGPT, AI Overviews and your traffic?

ChatGPT answers from live search, pages users ask it to open, and what it learned in training. See how each path works and what it means for your business.

ChatGPT now shows labelled ads in the US, but OpenAI says ads do not influence answers. What you can buy, what you cannot, and what paid “best of” lists risk.

Clicks down, impressions up? Use Search Console’s new generative AI report and a five-step method to see whether AI Overviews are behind your traffic drop.
Business facts & AI14 guides
Is AI describing my business accurately?

Review AI reputation claims fairly: distinguish opinion from fact, inspect cited reviews and correct current information without inventing a ranking rule.

Use an evidence-led response to unsupported AI claims: preserve the answer, verify facts, correct sources and track what remains unresolved.

Build an About page that clearly explains identity, offer, audience, people and evidence, with a practical outline and before-and-after examples.
Measurement & reporting14 guides
How do I track whether AI recommends my business?

Turn 16 B2B AI visibility observations into decisions: diagnose collection gaps, inaccurate answers, weak buying relevance and problems after the click.

Turn observed AI citations into a weekly operations journal: review changes, investigate source gaps, assign improvements and verify the outcome.

Define 12 AI visibility metrics with explicit denominators, examples and limits: observations, citations, recommendations, referrals and qualified inquiries.

How do buyers move from an AI answer to a verified purchase decision?
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What is actually true about ChatGPT, AI Overviews and your traffic?
Explore the collection
Is AI describing my business accurately?
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How do I track whether AI recommends my business?
Explore the collectionFrom insight to action
See how your website supports AI discovery. Find the questions and pages worth improving first.
Check how AI describes your business with a seven-fact audit: identity, services, audience, location, pricing, conditions and evidence.
Read the articleSeven signals an AI agent needs before it can put your business on a shortlist: fit, price, availability, location, next step, proof and consistency.
Read the articleWhat buyer research says about ChatGPT, SaaS discovery and purchase decisions—and why people still check Google, Reddit, reviews and product trials.
Read the articleChatGPT now shows labelled ads in the US, but OpenAI says ads do not influence answers. What you can buy, what you cannot, and what paid “best of” lists risk.
Read the articleClicks down, impressions up? Use Search Console’s new generative AI report and a five-step method to see whether AI Overviews are behind your traffic drop.
Read the articleMost businesses do not qualify for a Wikipedia article, and writing your own runs into its conflict-of-interest rules. What AI visibility needs instead.
Read the articleGA4 now groups visits from ChatGPT, Gemini and Claude in an AI Assistant channel. How to find it, what it misses (Perplexity, Direct) and how to fill the gaps.
Read the articleChatGPT answers from live search, pages users ask it to open, and what it learned in training. See how each path works and what it means for your business.
Read the articleGPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended: what each AI crawler does, what blocking it changes, and three robots.txt policies to copy.
Read the articleReddit fills AI answers with first-hand comparisons and has data deals with Google and OpenAI. Here is what brands can do about it, without spamming.
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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