Tiers & the buyer experience

At Kariant Basic, buyers find you through the platform’s structured surfaces. The search bars on the software, AI-tools, and services catalogs match your listing on name, category, description, and features — fast, classic keyword-and-filter search. Software buyers narrow by category, pricing model, and deployment; AI-tool buyers filter by capability and use case; service buyers filter by engagement model, region, and scope.

Beyond search, your listing appears in category hubs, side-by-side comparison tables, and alternatives rails on adjacent listings. Your detail page — features, pricing, screenshots, reviews, rewards, and deals — is server-rendered and search-indexable, so buyers (and search engines) can complete an evaluation on one page.

Recommendation rails at this tier are driven by structured signals: category, region, engagement, and listing completeness. There is no AI-personalized matching at Basic — that is exactly what the next tier adds.

Kariant AI adds the language layer on top of everything in Basic. Buyers stop matching keywords and start describing problems: the discovery engine reads intent semantically and matches it to your listing’s actual capabilities. A buyer who describes their problem in their own words can land on you without ever guessing your product’s name or category.

Klick Chat answers buyer questions in natural language — integrations, onboarding, pricing nuances — grounded in your published listing content, directly on the detail page of every listing format (software, AI tools, and services).

Recommendations become personal. For-You rails and recommendation placements weight the buyer’s organization (industry, region) against who your listing targets, detail-page fit scoring reads their full declared context, and AI answers cite your listing where you genuinely fit. Those citations are measured: every time a platform AI answer names your listing, a real mention is recorded to your AI-visibility dashboard — alongside an AI-graded readiness audit.

The top tier puts agents on both sides of the marketplace. On the buyer side: platform agents autonomously cite and place listings that fit a brief (the richer context you maintain at this tier is what makes you fit more briefs), buyers converse with your own trained agent — grounded in your private knowledge base, with persistent conversation history that lets returning buyers continue where they left off — and demos get booked end to end against your real availability, with pre-slot reminder emails to both sides and no email thread.

On your side, the autonomous suite works your pipeline: inbound leads are scored and routed with reasons (1 Koin each, skipped honestly when your balance is empty), the sales agent drafts ICP-grounded outreach sequences for your approval queue, the browser agent executes scoped web tasks, deep research produces source-cited briefs grounded in your Kontext ICP, and the auto-engine keeps your intelligence fresh with daily partner-data sync and scheduled reports.

The indirect effect matters as much as the features: as buyers delegate research to agents, agentic-tier listings stay visible in a buying path that never touches a search bar.