Competition
AI brand sentiment analysis
AI brand sentiment analysis measures how answer engines talk about you, not just whether they name you. Allswap scores the tone of every mention, maps how engines rate your brand on the traits buyers ask about, and tracks the claims engines repeat so you can keep them current at source.
What you get
Tone per mention
Positive, neutral or negative, scored on the sentence your brand appears in rather than the answer as a whole, and rolled into a split you can watch move.
Perception by trait
Price, warranty, install, efficiency and support, scored for you and for any rival you pick, so strengths and openings read at a glance.
Strengths engines repeat
The qualities engines keep attaching to your brand, collected with the engine and the date each was last seen — the material your next page writes itself from.
Claims worth updating
Every factual claim engines make about you, checked against what is true today, with the source behind it and how long a correction took to land.
How it works
- 1
Mentions are pulled with their context
Each one carries the sentence around it and the answer it came from.
- 2
Tone and claims are scored
Sentiment on the mention, plus every factual claim made about your brand and the source it traces to.
- 3
Updates become work
A claim worth refreshing goes into the fix list with the answer that contains it attached as evidence.
Questions
Why do answer engines describe my brand the way they do?
They answer from what they can retrieve. The sources they trust in your category shape the picture, which is why sentiment and the cited-source list are most useful read together — the second explains the first.
How do I update a claim an engine repeats?
Make the current fact easy to retrieve: state it plainly on your own site, get it into the sources engines already cite for your category, and keep it consistent everywhere. The citation-gap view shows exactly which sources those are, and the claims view tracks how long the update takes to land.
How is sentiment scored?
On the sentence containing your mention rather than the whole answer, since an answer can be warm about the category generally and specific about you. Every mention stays open for reading, so any score can be checked against the text it came from.
Guides that cover this
How this works by industry
The sources and buyer questions differ by market.
Related
AI answer monitoring
Read the full answer each engine gave about your category — stored turn by turn, with every brand and source marked in place.
Citation gap analysis
Find the sources answer engines trust that already cite your competitors — ranked by how much a mention there is worth.
AEO recommendations
A ranked list of work that will move your AI visibility, scored by impact and effort, each item carrying the answers that prove it.
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