What is RIFF?
TL;DR
Riff is an Answer Engine that makes product knowledge instantly accessible to B2B buyers on a company's website—eliminating the friction between a buyer's question and the answer they need. Instead of routing questions through sales reps or static FAQ pages, Riff delivers intelligent, structured answers on demand, around the clock.
What is Riff?
Riff is an Answer Engine built to close the gap between product knowledge and buyer access—directly on a company's website.
Most B2B buying journeys stall not because buyers aren't interested, but because they can't get answers fast enough. Sales reps spend 30–40% of their time fielding repetitive product questions, presales teams are stretched thin across too many deals, and buyers who hit a wall of friction simply move on. That gap is quietly killing pipeline velocity.
Riff addresses this by making product knowledge—features, integrations, and capabilities—instantly available to buyers at the exact moment they need it. No rep required. No digging through static documentation.
What sets Riff apart technically is how it handles knowledge:
- Structured extraction over raw retrieval: Riff processes ingested materials to extract structured claims rather than surfacing raw documents
- PII detection and abstraction: Sensitive information is detected and de-identified before storage
- Clean knowledge representations: Buyers receive precise, consistent answers without exposing unstructured internal content
For revenue and presales leaders, the practical impact is straightforward: buyers get answers on demand, reps reclaim time lost to repetitive Q&A, and presales teams redirect their energy toward complex, high-value consultative work where human expertise genuinely moves deals forward.
Key Points
- Answer Engine for buyers: Makes product knowledge instantly accessible on a company's website, reducing friction at critical moments in the buying journey
- Structured knowledge architecture: Extracts structured claims, detects PII, and stores de-identified knowledge representations—not raw document retrieval
- Presales capacity multiplier: Handles repetitive buyer questions autonomously, freeing sales and presales teams to focus on complex deals
The Bottom Line
Buyer expectations for instant, accurate product information have outpaced the capacity of most B2B sales teams to respond. Riff was built specifically to close that gap—delivering intelligent answers on-site while protecting knowledge integrity through structured extraction and de-identification. For teams balancing rapid buyer growth with limited headcount, it functions as a scalable presales layer that works around the clock.
Related Questions
How does Riff handle sensitive or proprietary product information?
Riff is designed as a structured knowledge extraction system that detects and abstracts PII before storing de-identified knowledge representations. Rather than surfacing raw documents, it works from clean, structured claims—helping companies share accurate product knowledge without exposing sensitive internal materials.
Who is Riff designed for?
Riff is built for B2B companies—particularly SaaS and technology vendors—that need to scale buyer education and presales responsiveness without proportionally scaling headcount. It is especially relevant for teams experiencing high buyer volume growth alongside fragmented or siloed product knowledge.
Verified 2026-05-01