When AI says your name, is it talking about you?
Somewhere out there is another company with your name — and to an AI engine trained on the whole internet, you two can blur into one. Brand Intel asks 12 engines who you are, catches the mix-ups, verifies which profiles are actually yours, and scores how firmly you own your own name.
Asks every major AI platform & voice assistant who you are
Brand Intel answers the two questions upstream of every AI answer about you: can AI tell who you are — and do you own the answers when someone looks? Identity comes first: an engine that thinks you're a different company can't recommend you correctly, no matter how good your content is.
To an AI trained on everything, same name means same company.
Your buyers ask AI about you by name. If the model's memory of that name is blurry — or belongs to someone else — every downstream answer inherits the mistake.
The same-name problem
A law firm in Denver, a plumber in Tampa, a SaaS in Berlin — same name. An AI engine can blend all three into one imaginary company and answer with the blend.
AI answers from memory first
Engines lean on training knowledge and knowledge graphs — Wikidata, Wikipedia, your schema. If those signals are weak or missing, the model fills the gap with whoever else shares your name.
Your name search is the front door
After AI mentions you, buyers search your brand to verify. If look-alikes and unclaimed profiles crowd that page, the mistaken identity compounds instead of correcting.
Recognition, confusion, and who actually owns your name.
Six angles on one question — is your identity machine-proof? — each measured against evidence, not name similarity.
Recognition, 12 engines
Chat, voice, and AI search surfaces are each asked who you are — from their own knowledge — and graded: recognised, fuzzy, or confused.
Confusables, named
The other companies engines think you are — surfaced with which engines are confused, confirmed only by cross-engine agreement, with wrong facts logged as incidents.
Identity signals
The machine-readable proof engines consult: a Wikidata entity whose official-website claim points at your domain, Wikipedia presence, a stable schema @id, declared sameAs profiles.
Verified profiles
Ownership proved, never assumed — your domain, declared sameAs matches (renames like twitter→x handled), or explicit references to your site. Everything else is a look-alike.
Cited sources, captured
When engines research you with live web access, Brand Intel captures the actual URLs they cite — aggregated by source and categorized, so you know where your reputation lives.
Brand Search Control
A 0–100 score for how firmly you own the results for your own name — you and your verified profiles versus look-alikes — with a 30-day trend.
Anyone can match your name. We match your evidence.
Name similarity is how brands get confused in the first place — so Brand Intel never uses it as proof. Every identity claim is anchored to something verifiable: your domain, your declared profiles, your Wikidata entity's own official-website claim.
How brand monitors get it wrong
- Count anything with your name on it as you — including the companies you're being confused with.
- Treat one engine's hallucinated guess as a finding worth panicking over.
- Match knowledge-graph entities by name similarity — the exact error they should be catching.
- Report a mention count and call it brand intelligence.
How Brand Intel decides
- Wikidata matched by proof. Your entity is identified through its official-website claim pointing at your domain — never by name lookup.
- Confusion needs agreement. Multiple engines must independently describe the same wrong company; one engine alone is capped at low confidence.
- Profiles verified, not collected. Yours means your domain, your declared sameAs, or an explicit reference to your site — with renames like twitter→x handled.
- Two scores, tracked. Identity strength and brand-search control, 0–100 each, with a 30-day trend — so the fix list provably moves the number.
Twelve engines. One question. Who are you?
This is the recognition probe running — every engine answering from its own knowledge, and the mix-up surfacing the moment two of them agree on the wrong company.
What one probe hands you.
- The engine-by-engine verdict. Who recognises you, who's fuzzy, and who is confidently describing someone else entirely.
- The confusable, named. Not "possible brand risk" — the actual company they think you are, with which engines agree and which facts are theirs, not yours.
- The fix checklist that targets causes. Your schema @id, your sameAs, your Wikidata official-website claim — the exact signals engines consult when deciding who you are.
- Identity basics on every plan. The full 12-engine probe and cited-sources scan unlock on AI Radar ($899/mo) and up, refreshed on a 24-hour cycle.
Mention counting vs. identity proof.
| What you get | Not checking | Generic brand monitoring | Brand Intel |
|---|---|---|---|
| The core question | — | "Were you mentioned?" | "Does AI know it's YOU — and who else does it think you are?" |
| Confusion detection | — | — | Named confusables, confirmed by cross-engine agreement |
| Profile ownership | — | Anything with your name | Proved: domain, declared sameAs, or explicit reference |
| Knowledge-graph check | — | — | Wikidata matched via its official-website claim, Wikipedia, schema @id |
| Scores & trend | — | Mention volume | Identity 0–100 + Brand Search Control 0–100, 30-day trend |
| Cost | Mistaken identity | $50–300/mo, separate tool | Basics on every plan · full probe on Radar+, all-in |
Ask. Diff. Fix. Own.
Ask
Twelve engines — chat, voice, and AI search — are each asked who your brand is, from their own knowledge. No leading, no hints.
Diff
Every answer is compared against verified ground truth — your schema, your Wikidata entity, your Wikipedia presence. Wrong facts become incidents; wrong companies become confusables.
Fix
The checklist targets the exact signals engines consult: a stable schema @id, declared sameAs profiles, your Wikidata official-website claim, verified profile ownership.
Own
Brand Search Control scores how firmly you own your own name in search, tracked over 30 days — so identity consolidation is measurable, not assumed.
The vocabulary of identity.
The terms your Brand Intel report uses — defined plainly.
- Confusable
- Another company an AI engine mixes you up with — typically a same-name business in a different city or industry. Reported with confidence only when multiple engines agree.
- Identity score
- A 0–100 measure of how legible your identity is to machines, built from Wikidata verification, Wikipedia presence, a stable schema @id, and declared sameAs profiles.
- Official-website claim
- The Wikidata property linking an entity to its domain. Brand Intel matches your Wikidata entity through it — by proof, not by name similarity.
- sameAs
- The schema.org property declaring which external profiles belong to your organization — the profile list AI engines and Brand Intel treat as your declared identity.
- Verified profile
- A profile counted as yours only with proof: your domain, a declared sameAs match (renames like twitter→x handled), or an explicit reference to your domain.
- Brand Search Control
- A 0–100 score for how firmly you own the search results for your own name — you and your verified profiles versus look-alikes — tracked over 30 days.
Questions about Brand Intel.
What is Brand Intel?
Brand Intel is AI Syndicate's brand-identity monitor. It answers two questions: can AI tell who you are, and do you own the answers? It asks 12 AI engines who your brand is, catches the companies they confuse you with, cross-checks your identity signals in Wikidata and Wikipedia, verifies which profiles actually belong to you, and scores it all 0–100 with a 30-day trend.
How is Brand Intel different from the Prompt Simulator or Citation Tracker?
They answer different questions. Brand Intel asks whether AI knows WHO you are — and who it confuses you with. The Prompt Simulator asks whether you WIN real buyer prompts. The Citation Tracker watches how often you're CITED over time. Identity comes first: an engine that thinks you're a different company can't recommend you correctly no matter how good your content is.
Which engines does Brand Intel ask?
Twelve surfaces: eight chat engines (ChatGPT, Claude, Gemini, Perplexity, Meta AI, Grok, DeepSeek, Mistral), two voice assistants (Siri, Alexa+), and two AI search surfaces (Google AI Overviews, Copilot). Each is asked, offline from its training knowledge, who your brand is.
What is a confusable?
Another company an AI engine mixes you up with — usually one sharing your name in a different city or industry. When an engine describes your brand with someone else's facts, a customer asking about you hears about them. Brand Intel names the confusable, shows which engines are confused, and drives the fix.
How does Brand Intel avoid false alarms about confusion?
Cross-engine agreement. A confusion is only reported with confidence when multiple engines independently describe the same wrong company — a single engine's guess is capped at low confidence and never treated as fact. That keeps the report actionable instead of noisy.
How does profile verification work?
Ownership is proved, not assumed. A profile or search result only counts as yours if it's on your domain, matches a profile you've declared (in your schema's sameAs or added by hand), or explicitly references your domain. Renames are handled too — a declared twitter.com profile still matches today's x.com. Anything else with your name on it is treated as a look-alike, not as you.
How is the identity score computed?
0–100 from the machine-readable identity signals AI engines actually consult: a Wikidata entity whose official-website claim points at your domain (verified beats unverified), a Wikipedia presence, a stable @id in your site's Organization schema, and declared sameAs profiles. Weak or missing signals are exactly what the fix checklist targets.
Which plans include Brand Intel?
Identity basics start on AI Pulse ($499/mo). The full toolkit — the 12-engine confusion probe and the cited-sources scan — unlocks on AI Radar ($899/mo) and up. Results refresh on a 24-hour cycle.
What is Brand Search Control?
A 0–100 score for how firmly you own the results when someone searches your own brand name — your domain and verified profiles versus look-alikes and unrelated pages — tracked with a 30-day trend so you can watch ownership consolidate as fixes land.
Find out who AI thinks you are — before your customers do.
Somewhere, an engine may be answering questions about you with someone else's facts. Start with a free audit and see the engine-by-engine verdict.