Sentiment analysis
AI brand sentiment: how AI describes you when it names you
An assistant can name your brand and, in the same breath, call you the expensive one with the hard setup. That counts as a mention, and it loses the deal. We rate whether you are recommended, listed or caveated, keep the sentence behind each rating, and show the pages the description came from, so you know what to change.
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Brands, ranked by presence
| Brand | Named in answers | How it's framed |
|---|---|---|
| Fabrikam | 70% · 74 of 105 | 18 recommended, 2 warned, of 41 |
| Contosoyou | 52% · 55 of 105 | 21 recommended, 1 warned, of 30 |
| Northwind | 46% · 48 of 105 | 11 recommended, 4 warned, of 26 |
| Tailspin | 37% · 39 of 105 | recommended in 9 of 15 |
| Litware | 21% · 22 of 105 | 4 recommended, 3 warned, of 11 |
| Proseware | 9% · 9 of 105 | recommended in 2 of 4 |
Last 7 days, all engines pooled.
How you are framed
Three sentiment ratings, and the text behind each
Applied to the passage about your brand, not to the answer as a whole, and counted out of the mentions that could be rated at all. The three sentences beside this all named one rival: one recommends it, one warns about it, one only lists it.
- Recommended.
- You are put forward as an answer to the question, not merely listed among the options.
- Neutral.
- You are listed. Named without a judgement attached: given as an option, an example or a fact.
- Negative.
- You are named with a caveat: price, complexity, a missing feature, a comparison you lose.
- Not clear enough to call.
- The classifier abstains rather than guessing. Those mentions are counted, never rated.
Competitors
5 competitors named across 105 answers in the last 7 days. You were named in 55, and absent from 50.
Northwind
ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overview, Perplexity
- Named in
- 48 of 105
- Without you
- 22
- Best place
- #1 · usually #3
- Times named
- 112
“…for a remote team, Northwind is the go-to: async updates, client portals and a clean mobile app are built in…”
Perplexityplaced #1on “Fabrikam alternatives for a remote team”
“…Northwind gets expensive past ten seats, and its time tracking is limited compared with Fabrikam…”
ChatGPTplaced #2on “Project management tool with built-in time tracking”
“…other options include Northwind and Tailspin, which offer similar task boards and Gantt views…”
Geminiplaced #3on “What is the best project management software for a small agency?”
Auditable, or it is worthless
Every rating shows its working
A sentiment score with nothing behind it is a number you have to take on faith, and nobody should. Each rating stores the passage it was drawn from, the phrases that produced it and a confidence value, so you can read the words yourself and decide. This is the same standard we hold every other number to on the methodology page. The answer beside this names you second and qualifies you in the same sentence: a mention every counter scores as a win.
- The passage is kept.
- Read the sentence that was rated, in the full answer it came from.
- A confidence on every rating.
- Stored with it. Below a set floor there is no rating at all, rather than a guess forced into a bucket.
- Per mention, not per answer.
- One answer can praise your category and doubt you. Those are two facts.
← All answers
Project management tool with built-in time tracking
ChatGPT
Fabrikam has the most complete time tracking, with billable rates and invoicing built in, and it is the safest pick for larger teams.
Contoso is the affordable option for small agencies, though its reporting is limited and setup has a steep learning curve.
Northwind is worth a look if you mostly need timesheets.
Named in this answer
- #1 Fabrikam×3
- #2 Contosoyou×2
- #3 Northwind×1
Citations
- capterra.com
- g2.com
- contoso.comyours
- fabrikam.com
Upstream of the answer
Negative sentiment usually has an address
Assistants describe your category from what the web says about it. That means criticism has a source, and a source can be worked on.
When an assistant keeps describing you as hard to implement, it did not form that view on its own. It is compressing what it read: a comparison page written by a competitor, a forum thread from two years ago, a review site whose entry nobody has updated since your last redesign. The description follows the sources, so the fix is upstream of the assistant. Correct the page, or get a fairer one in front of the engine, and the scheduled re-checks show whether the description moved.
- Sentiment beside sources.
- The framing sits next to the citations rather than in a chart of its own. Read the rating, then what the answer cited, and a recurring criticism usually traces to two or three pages you can do something about.
- Told when it turns.
- When caveats start to outnumber recommendations, monitoring tells you rather than you noticing a quarter later.
- No single happiness score.
- We will not reduce six engines and a hundred passages to one number out of ten.
Sources
64 sites cited across 105 answers in the last 7 days. Your own site was cited in 34 answers.
1 your site5 competitor14 community44 independent
Every site the engines read
Grouped by site: a blog and a help centre count as one publisher.
| Site | Read in | Named you | Type | Competitors named |
|---|---|---|---|---|
| contoso.comyours | 27 of 34 | Your site | ||
| fabrikam.comFabrikam | 4 of 31 | Competitor | ||
| g2.comget listed | 0 of 14 | Community | ||
| capterra.comget listed | 0 of 11 | Community | ||
| lucernepublishing.comget listed | 0 of 8 | Independent |
A site counts once per answer however many of its pages are cited in it.
Common questions about AI sentiment analysis
What people ask before they act on a sentiment rating. If yours is not here, ask us.
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What is AI sentiment analysis?
Do you rate the whole answer or just the part about my brand?
Can I see why something was rated negative?
How accurate is the rating?
What do I actually do about negative sentiment?
Is sentiment tracked on every engine?
Related reading

Per-engine visibility
How AI chooses which brands to recommend
Six assistants, six retrieval pipelines, and a decision that is not a ranking. How AI chooses which brands to recommend, and what gets you named.

Measurement
What is AI visibility? A definition
AI visibility is how often an assistant names your brand when someone asks about your category. The definition, what it is not, and the four outcomes.

ChatGPT
How to rank in ChatGPT answers
How to rank in ChatGPT. Six steps to get your brand recommended, starting with the robots.txt check most guides skip. From what we see in real answers.
The rest of what we measure
Six more, all on every plan.
AI visibility tracking
Which engines name you and which name a rival instead, with the sample size.
AI brand monitoring
Six kinds of change, each pointing at something to do, emailed above the noise.
AI citation tracking
The pages AI reads, and the ones that name rivals and not you.
AI share of voice
Who gets recommended in your place, as a share of the answers.
Prompt tracking
The questions to be recommended for, with search volume beside each.
AI answer tracking
Every answer in full, so you can read why a rival was named.
7-day trial
Find out if AI recommends you or just lists you
Add your brand and the prompts your buyers type, and read how each answer describes you within minutes.
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On every plan
- Every answer stored in full, with its citations.
- Every rate shown with the number of checks behind it.
- Cited-but-not-named reported as its own state.