When an assistant recommends software, is it your name in the answer or your competitor’s?
SaaS selection now happens in chat: "Which tool does X, with EU hosting, under Y a month?" Klariton measures whether your software is named on exactly those selection questions, keeps answers about features, integrations and pricing correct, and shows which evaluations turn into demos and trials.
- On concrete selection questions (feature set, integration, pricing tier, compliance) assistants often name three established competitors and your product is not among them.
- Answers about your features are outdated or wrong: last year’s price, an integration that does not exist, or a limit that was lifted long ago.
- Feature pages, docs and changelogs live in a JS-heavy app that crawlers and models cannot read in full. What is not read does not get recommended.
- Presales questions repeat in every evaluation and tie up sales time, even though the answer is in the docs or on the pricing page.
- Nobody can say whether a recommendation ended in a trial or a booked demo. Attribution stops at the first session.
Why a general-purpose chat assistant is not enough here
A chat assistant inside your own product helps existing customers. The shortlist is decided earlier, in comparison answers you neither see nor influence. On top of that, features and prices change faster than any copy. Klariton measures your mentions on exactly those selection questions, keeps published feature and pricing statements checked against their source, and pauses whatever no longer holds.
The relevant question changes with the decision phase.
How can we reduce recurring presales questions without adding more work to our sales team?
A reliable answer is generated from the company’s approved sources. This example intentionally does not use invented answers or sources.
Test with your own sources →Selection questions where being named decides the shortlist
- Which tool for [category] offers [core capability] with SSO, EU hosting and an open API?
- What does [your product] cost on the team plan, and from how many seats is switching from the free plan worth it?
- Which alternative to [market leader] can be rolled out in under a week and integrates with [stack tool]?
- Does [your product] support SOC 2, GDPR-compliant data processing and role-based approvals for regulated teams?
- Which vendor fits our budget and our existing stack, and can be tested in a trial before we buy?
Which Klariton modules matter here
Shows per selection and comparison question whether your software is named, next to which competitors, and with what reasoning.
Checks whether feature pages, docs and pricing can be read in full by crawlers and models despite JS rendering.
Makes sure answers about features, limits, integrations and pricing stay current and source-backed instead of hallucinated.
Connects recommendation and answered presales question to trial start and booked demo, so the effect becomes measurable.
Simulates feature, limit and pricing questions against the current state before an answer is published. With fast release cycles the error surfaces in the test, not in the selection call.
What improves
- Your software appears on purchase-relevant selection questions instead of only the established competitors.
- Answers about features, prices and integrations are correct, current and backed by approved sources.
- Fewer repeat presales questions for the sales team, because docs and pricing become usable as answers.
- Traceable attribution from the answer through to trial start and booked demo.
Fits into your existing stack.
- Contentful AppApp ready · Marketplace review pending
- Public Read APILive
- Public Touchpoint DeliveryLive
- Chat Advisor Server IntegrationGuided setup
- Reach Beacon SDK (@klariton/beacon)Live
- Next.js Middleware HelperLive
- React/Next.js Touchpoint SDKComing soon
- Conversion & event ingestionLive
- Website embed (<klariton-widget>)Live
- Website / URLLive
- PDF · CSV · Markdown · DocumentationLive