Your next customer won't read your reviews. They'll ask AI.
When someone asks ChatGPT what people think of you, an answer comes back — whether you've ever heard it or not. Reputation asks 13 AI surfaces the question your buyers ask, scores the tone of every answer, and tracks the review platforms those answers draw on.
Reads what every major AI platform, assistant & community says about you
Reputation is the tone layer of your AI presence: it measures what AI engines actually say when buyers ask about you — positive, neutral, negative — from two memories, training and live retrieval, and ties it to the review platforms those answers draw on. Brand Intel asks whether AI knows who you are. Reputation asks what it thinks of you.
Reputation tools watched the review sites. Your buyers moved.
The question "what do people think of this company?" is now answered by AI in one paragraph — synthesized from reviews, Reddit, and the model's own memory of you. Nobody was watching that paragraph.
The question moved upstream
Buyers used to read twenty reviews and average them in their heads. Now they ask AI and get one pre-averaged verdict — tone included. That verdict is your reputation now.
Two memories, two answers
An engine's training memory of you can run years cold — while its live-retrieval answer says something else entirely. If you've only ever Googled yourself, you've heard neither version.
Nobody watches the synthesis
Review tools count stars. Social tools count mentions. The AI answer that actually reaches your buyer — the tone, the themes, the one Reddit thread it keeps leaning on — goes unwatched.
The tone, the themes, and the platforms feeding them.
Six angles on one question — what does AI tell buyers about you? — each measured from real answers and real listings, never inferred.
AI sentiment, 13 surfaces
Ten chat & voice engines plus Google AI Overviews, Copilot, and Reddit — each asked what people think of you, each answer's tone scored positive / neutral / negative, averaged only across engines that actually know you.
Training vs live retrieval
Every chat engine answers twice: from training memory, then grounded with live web context — the way the shipping products answer. You see both tones per engine and the gap between them.
Themes, in their words
Up to five recurring themes extracted from the engines' own summaries — "responsive support," "premium pricing" — each attributed to the engines saying it, judged only from what the scan actually returned.
AI memory map + playbook
Which engines know you from training, which only find you with web context, and which can't place you at all — with a per-engine get-known playbook that turns every gap into a concrete fix.
Review platforms, tracked
Yelp and Google ratings with real review excerpts, plus G2, Capterra, TrustRadius, and Product Hunt — each proven yours before it counts, with 30-day deltas per platform. Reddit threads included as what AI reads.
Rival benchmark + alerts
Your tone benchmarked against up to five competitors on the same question, a Monday auto-refresh, and an email the moment your tone shifts — negative climbing or positive slipping.
A sentiment score you can't argue with.
The fastest way to a pretty reputation chart is to quietly fill the gaps — count unknowns as neutral, blend failures into the average, match profiles by name. Reputation reports what the scan proved, and names what it couldn't.
How reputation tools pad the chart
- Count an engine that has never heard of you as a "neutral" vote, so the average looks smooth.
- Blend scan failures into the score instead of admitting the scan failed.
- Match review profiles by business name — and quietly absorb a same-name stranger's one-star average.
- Show one sentiment number with no source, no mode, and no way to ask "says who?"
How Reputation decides
- Unknown is a verdict, not a vote. Engines that can't place you are excluded from the average, listed by name, and handed a get-known playbook.
- Failures are failures. A surface that errors is retried, then reported as a scan problem — never counted as an opinion about you.
- Provably yours, or not counted. Ratings come from licensed and public data — never scraping — and a profile only counts once it's proven yours, not because the name looks right.
- Every tone is attributed. Per-engine bars, per-mode (training vs retrieval), and themes quoted from the engines' own summaries.
Thirteen surfaces. One question. Two memories.
This is a sentiment scan running — every surface scored on the question your buyers ask, then the whole board re-asked with live retrieval to show how the shipping products answer.
What one scan hands you.
- The tone, surface by surface. Positive / neutral / negative for every engine that knows you — and the honest, named list of those that don't.
- Both memories. Training tone next to live-retrieval tone for every engine, so you know whether the model's memory or today's web is doing the talking.
- Themes with receipts. What the engines keep saying, in their own words, attributed — with every negative theme one click from a counter-brief in Content.
- Included with every plan. Scans run on demand with a 24-hour cache, refresh automatically on Mondays, and email you when the tone shifts.
Star counting vs. hearing the actual answer.
| What you get | Not checking | Review management tools | Reputation |
|---|---|---|---|
| The core question | — | "What's our star rating?" | "What does AI tell buyers about us?" |
| AI answer tone | — | — | 13 surfaces scored positive / neutral / negative, training + retrieval |
| Unknown engines | — | — | Named and excluded — never counted as a neutral vote |
| Review ratings | — | Stars + replies on connected accounts | 6 platforms matched by your website, with excerpts and 30-day deltas |
| Competitive context | — | — | Tone benchmark against up to 5 rivals on the same question |
| Alerts | — | New-review notifications | Tone-shift email + Monday auto-refresh |
| Cost | An answer you've never heard | $100–400/mo, separate tool | Included with every plan, all-in |
Ask. Read. Compare. Act.
Ask
Thirteen surfaces get the question your buyers ask — what do people think of you? Each chat engine answers twice: from training memory, then grounded with live web retrieval.
Read
The tone of each actual answer is scored positive / neutral / negative. Engines that don't know you are excluded and named; failed surfaces are retried, then reported as scan problems — never as opinions.
Compare
Per-engine, per-mode tone bars; recurring themes in the engines' own words; ratings across six review platforms with 30-day deltas; and a tone benchmark against up to five rivals.
Act
Negative themes become counter-briefs in Content with one click, unknown engines get a get-known playbook, and a Monday auto-refresh plus tone-shift alerts keep watch between scans.
The vocabulary of AI reputation.
The terms your Reputation report uses — defined plainly.
- AI sentiment
- The positive/neutral/negative tone split of an AI surface's actual answer about your brand — measured from the answer itself, not from star ratings.
- Training tone
- What an engine says about you from its trained memory alone, no browsing. Can lag reality by years — which is exactly why it's measured.
- Retrieval tone
- The same engine's tone when grounded with live web context — the way retrieval-backed AI products actually answer buyers.
- Unrecognized
- An engine that can't place your brand. Excluded from the aggregate and listed by name — never counted as a neutral vote.
- Reputation theme
- A recurring claim extracted from the engines' own summaries — attributed to the engines saying it, judged only from scan text.
- Tone-shift alert
- The email sent when your aggregate tone moves meaningfully — negative climbing 8+ points or positive slipping 10+ — based on daily tone snapshots.
Questions about Reputation.
What is Reputation?
Reputation is AI Syndicate's reputation monitor for the AI layer. It asks 13 AI surfaces what people think of your brand, scores the tone of every actual answer — positive, neutral, negative — from both training memory and live retrieval, extracts the recurring themes in the engines' own words, tracks your ratings across six review platforms plus Reddit, benchmarks your tone against up to five competitors, and emails you when the tone shifts.
How is AI sentiment measured?
Each surface is asked the question your buyers ask — "What do people think of your brand?" — and the tone of that actual answer is scored positive, neutral, and negative. Your aggregate averages only the engines that recognise you; nothing is inferred from star ratings or keyword matching — and we deliberately keep the exact scoring recipe to ourselves.
What happens when an AI engine doesn't know my brand?
It's excluded from your average and listed by name — never counted as a neutral vote. It then gets a second, web-grounded pass: if live retrieval finds you, that tone is shown with a web-context tag. Engines that still can't place you land on the AI memory map with a per-engine get-known playbook.
What is the difference between training tone and retrieval tone?
Training tone is what an engine says from its trained memory alone — which can lag reality by years. Retrieval tone is the same engine answering with live web context, the way retrieval-backed products actually respond. Reputation shows both per engine, plus the gap between them, so you know whether the model's memory or today's web is doing the talking.
Which AI surfaces does Reputation ask?
Thirteen: ten chat and voice engines (ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Meta AI, Grok, Mistral, Siri, Alexa+) plus Google AI Overviews, Copilot, and Reddit. For the non-chat surfaces, the verbatim text each one shows about you is fetched and its tone is scored from that text only.
Where do the review-platform ratings come from?
From licensed and public rating data — never scraping. Ratings, counts, and real review excerpts only attach to your card once the profile is proven yours. Reddit threads are included as mentions — what AI reads — never as a synthesized rating. The exact sources and matching pipeline are part of our moat, so we keep them to ourselves.
How is Reputation different from Brand Intel and Hallucination Watch?
Three different questions. Brand Intel asks whether AI knows WHO you are — identity and confusion. Hallucination Watch asks whether AI's FACTS about you are right — and drafts corrections. Reputation asks what AI THINKS of you — the tone, the themes, and the review platforms feeding them. Together they cover identity, accuracy, and sentiment.
Which plans include Reputation?
Every plan. Scans run on demand from the dashboard with a 24-hour result cache, refresh automatically on Mondays, and tone-shift email alerts are included — no add-on, no separate reputation tool.
Can I compare my AI tone against competitors?
Yes — benchmark your tone against up to five competitors and see how AI talks about them on the same question. If AI can't place a rival, the benchmark says so honestly instead of inventing a score for them.
Hear what AI says about you — before another buyer does.
Somewhere right now, an engine is summarizing your reputation in one paragraph. Run a free audit and read it for yourself.