Find out what AI says about your brand —and fix what’s wrong.
Most shoppers now ask AI about your brand before they reach your site — and AI sometimes gets it wrong: old prices, features you don’t offer, confused with a competitor. You can be misrepresented at scale and never know.
This is how to audit those answers, triage the errors, and correct the record honestly — by improving the public sources models learn from, not by manipulating them.
Your brand narrative isn’t only yours anymore.
A majority of shoppers now research brands through AI assistants, and they act on the answer — often without visiting your site. When that answer is wrong, you’ve been misrepresented at scale, and the visitor may never arrive to be corrected.
The good news: the fix is durable and honest — clear, current, well-structured facts that models can learn from.
Most product and brand research now starts with an AI assistant or AI search — and the buyer often acts on the answer without visiting your site.
Fluent, confident answers can be outdated, hallucinated, or confused with a rival. The model predicts likely text, not verified facts.
Without watching, you can't see what AI is telling people about you — you've been misrepresented at scale, silently.
Enter your brand. Get the exact questions to ask AI.
These are the questions to run against ChatGPT, Gemini, Perplexity, and Google AI Mode — the same battery the kit’s tool generates. Run them, then log what’s wrong and fix it with the Brand Truth Pack.
Core facts
watch for: Wrong/old description, wrong owner or parent company
- 1. What does Acme Coffee Co do?
- 2. Who owns or founded Acme Coffee Co?
Pricing & offers
watch for: Stale or invented pricing, plans that no longer exist
- 3. How much does the Starter Subscription cost?
- 4. What plans or packages does Acme Coffee Co offer?
Trust & sentiment
watch for: Unfounded doubt, false 'scam' claims, one-sided sentiment
- 5. Is Acme Coffee Co legit and trustworthy?
- 6. What do customers say about Acme Coffee Co?
Comparison & identity
watch for: Confusion with a similarly named company, mixed-up facts
- 7. Acme Coffee Co vs BeanRival — which is better?
- 8. Is Acme Coffee Co the same company as others with a similar name?
Policies & features
watch for: Hallucinated policies/features, or denial of real ones
- 9. What is Acme Coffee Co's return or refund policy?
- 10. Does Acme Coffee Co offer the feature you want to check?
Products, location & status
watch for: Discontinued items, wrong address/phone, 'closed'
- 11. What products does Acme Coffee Co sell?
- 12. Where is Acme Coffee Co located and how do I contact it?
- 13. Is Acme Coffee Co still in business?
Run these, then fix what’s wrong — honestly.
The kit adds the accuracy scorecard, a findings triage, and the Brand Truth Pack to correct the record with truthful, sourceable facts — never to bury legitimate criticism.
Get the AI Brand Misinformation Watch — $99You influence AI answers, you don’t control them — corrections take time and vary by model.
Seven ways AI gets a brand wrong.
The Field Guide names each one, rates how serious it is, and gives the specific fix — plus a facts-vs-opinions test so you correct errors without ever touching legitimate criticism.
Outdated facts
Old prices, plans, hours, or leadership stated as current.
Hallucinated features/policies
A feature, guarantee, or return policy you don't actually offer.
Identity/competitor confusion
Merged with a similarly named company, or given a rival's facts.
False or defamatory claims
Something untrue and harmful — a 'scam' label or fabricated scandal.
Wrong contact/location
Wrong phone or address, or 'permanently closed.'
Discontinued products
Describes things you no longer sell, or misses your current line.
Distorted sentiment
Summarizes criticism unfairly or amplifies one complaint as consensus.
You can’t edit the model. You improve what it learns from.
There’s no button to change an AI’s answer. You improve the sources it learns from — which is the durable lever, and the honest one.
Clear, current facts with Organization + FAQ schema — an accurate, crawlable source models can learn from.
Turn the exact questions AI gets wrong into an on-site FAQ with schema, so the right answer is indexable.
Google Business Profile, Wikipedia/Wikidata, directories, reviews — kept consistent and current, by each platform's rules.
Flag bad answers through official channels, then re-run the battery on a cadence and track the drift.
A playbook, a field guide, a workbook, and a correction toolkit.
Why it matters, the four-step watch (audit → triage → correct → re-watch), the honest correction playbook, and the ethics/legal spine.
The seven error types — what each looks like, how serious it is, and the specific fix — plus a facts-vs-opinions test and where models get brand facts.
A prompt battery to run, a Brand AI Accuracy scorecard (Healthy / Watch / At risk), a findings triage with severity-driven priority, and a dashboard.
The correction toolkit: a canonical fact-sheet template, a correction FAQ, a third-party source checklist, platform-feedback notes, and schema stubs.
Generates your audit battery and lints drafted corrections for unverifiable puffery and missing sources. Zero dependencies; runs keyless.
The prompt battery template in editable, machine-readable form — extend it with the questions specific to your category.
An accuracy-and-integrity tool — not reputation laundering.
This corrects the record honestly. It is not a way to manipulate AI or manage your reputation dishonestly, and it’s explicit about the lines:
- You influence, you don't control
Corrections take time and vary by model. You improve the odds and the record; you don't flip a switch.
- Facts only — never bury criticism
Correct verifiable facts, not opinions. Suppressing legitimate criticism can also violate the FTC review rule.
- Your own brand, truthful sources
This is for correcting brands you're authorized to represent — not attacking competitors or astroturfing.
- Defamation is a legal matter
For false or defamatory claims, use official platform channels and consult counsel. Operational guidance, not legal advice.
Brands that want AI to get them right.
Founders, marketers, and agencies whose buyers research through AI — and who’d rather find and fix a wrong answer than discover it after it’s cost them a sale. No technical skills required; the runnable tools are optional and the rest is no-code.
AEO Citation Audit Kit
$79The visibility half. This kit checks whether AI gets you right; the AEO Audit Kit checks whether AI cites you at all — a full audit of how answer engines see your business, then how to optimize. Be accurate and be cited.
GEO / AI Visibility Playbook
$149The treatment to the audit's diagnosis: the CLEAR framework, paste-ready content templates, and a live visibility tracker to get your brand cited by ChatGPT, Perplexity, AI Overviews, Gemini, and Claude. Accuracy here; presence there.
Brand Voice Engine
$59Once the facts are right, make sure they sound like you everywhere — a voice spec, an on-brand writer, and a 100-point QA checker. Correct and consistent: the record is accurate and it's unmistakably yours.
The questions brand owners actually ask.
A system to find out what AI assistants are saying about your brand, triage the inaccuracies, and correct them honestly. It includes a strategy playbook, a field guide to the seven types of AI brand error, an audit workbook (prompt battery + accuracy scorecard + findings triage), a correction toolkit (the Brand Truth Pack), and a runnable battery generator and correction linter.
Honestly: no one can directly edit a model's answer. What you can do — and what this kit walks you through — is improve the public record models learn from: a canonical fact page with schema, on-site answers to the exact wrong questions, and corrected third-party sources (Google Business Profile, Wikipedia/Wikidata, directories), plus platform feedback. That's influence, not control: expect lag, and expect models to differ.
The AEO Citation Audit Kit is about getting cited and visible in AI answers. This is about accuracy — whether what AI says about you is correct, and how to fix it when it isn't. They're complementary: be visible (AEO) and be represented accurately (this).
It's the AI-answer-accuracy slice of it, with a specific method: authoritative, schema-marked facts; correcting the third-party sources models lean on; and platform feedback. And it's honest by design — you're correcting the record with truthful, sourceable facts, not gaming models with deception.
No — and we're firm about that. You correct verifiable facts, not opinions. Suppressing or gating legitimate criticism isn't what this is for, and it can violate the FTC's review rule. The kit is explicit about the facts-vs-opinions line.
No. The workbook and Truth Pack are no-code, and the battery generator and correction linter (brandwatch.py) are optional with zero dependencies. You run the prompts in the assistants you already use.
A Watch Playbook, a Field Guide, the Misinformation Audit Workbook (Excel), the Brand Truth Pack, brandwatch.py, and an editable prompt-battery JSON.
Find out what AI is telling people about you.
Audit it, triage it, and set the record straight — honestly. A prompt battery, an accuracy scorecard, a findings triage, and the Brand Truth Pack. One-time $99, yours to keep.
Sold by RedHub AI LLC · Secured by Stripe · Correct facts, never suppress criticism · operational guidance, not legal advice · redhub.ai