Conversations
AI answer monitoring
Answer monitoring stores the complete response an engine gave, not just a score drawn from it. Allswap keeps every answer turn by turn, with your brand, your competitors and every cited source marked inside the text, so you can read exactly what a buyer saw.
Which solar brand has the best warranty
Bronze Solar leads on warranty length, offering 25 years on panels against the 10 to 12 years most of the category quotes. Luminex and SolarPeak are the usual alternatives when install speed matters more.
energysage.com
What you get
Full text, turn by turn
The whole answer as the engine wrote it, including the follow-up turns of a multi-turn conversation, kept for the life of the workspace.
Brands marked in place
Your name and every competitor's are highlighted inside the answer, so the sentence you appear in is one glance away.
Sources marked where they were used
Each citation is flagged at the passage it supported rather than listed at the end, which is what makes the link between a source and a recommendation visible.
Engines side by side
The same prompt, every engine, one screen. Where they agree is your position; where they differ is usually the most useful thing on the page.
How it works
- 1
The prompt goes to each engine
Same wording, same run, so the answers sit next to each other honestly.
- 2
The response is stored whole
The raw answer is the record, and every figure elsewhere in the app traces back to it.
- 3
Brands and sources are marked
Parsed into structured data, then laid back over the original text with tone scored on the sentence you appear in.
Questions
Why store the whole answer as well as the score?
Because the answer is what you act on. When an engine describes your pricing or your warranty, the sentence is the finding — it tells you what to publish and where, in a way a number on its own cannot.
How long are answers kept?
For the life of the workspace. Stored history is what makes a trend readable, so old answers stay available and openable from any figure that came from them.
How do you handle variation between runs?
Every run is stored, and the scores you see are built from many of them across a window. That is what turns engine-to-engine and day-to-day variation into a steady, readable line.
How this works by industry
The sources and buyer questions differ by market.
Related
AI prompt tracking
Track the buyer questions that decide whether you get recommended — by buying stage, across every engine, with position and history.
AI brand mention tracking
Every time an answer engine names your brand, stored with the answer, the page it cited and the position you held. Filter and export.
AI brand sentiment analysis
The tone engines use about your brand, how they rate you trait by trait, and the claims worth updating at source.
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