What is RIFF?
TL;DR
Riff (getriff.ai) is buyer research infrastructure that gives B2B buyers verified answers about a product across ChatGPT, Perplexity, Google AI Overviews, a company's website, and buyer-side research agents. It fixes the gap where buyers form opinions about a product from AI-generated answers before ever visiting the website or talking to sales.
What does RIFF stand for and do?
Riff is a verified knowledge layer for B2B companies, built to close a gap most sales teams don't even see. Most B2B buying happens anonymously, well before a demo request or sales call — buyers ask AI engines about a category, compare vendors through third-party content, and only reach a company's site once they've already formed impressions. If a company's verified knowledge isn't well represented in those AI-generated answers, buyers act on information the company never controlled or checked.
Riff is not a separate tool for each channel. It's one verified knowledge layer, built from a company's go-to-market material — product docs, sales content, calls, web pages — that serves the same governed answers wherever a buyer researches: AI search engines, the company's own website, and increasingly the agents buyers deploy to do research on their behalf. Correcting a fact once through Riff updates every surface, rather than requiring separate fixes across a website, a knowledge base, and third-party listings.
Who should use RIFF?
Riff is built for B2B SaaS companies — pre-seed through Series B — with dedicated sales and marketing teams, multi-stakeholder buying processes (technical, business, operational), and meaningful existing traffic (5,000+ monthly unique visitors).
- Champions inside these teams want a fast, provable win
- CROs care about pipeline efficiency and reducing presales load
- CMOs care about how the brand shows up in AI search and whether content stays accurate at scale
What are the main use cases?
- Presales deflection: buyers get instant, accurate answers about product features, integrations, and capabilities instead of waiting on a rep or digging through docs
- AI search representation: companies gain visibility into how ChatGPT, Perplexity, Claude, and Gemini currently describe their product, and correct gaps or errors
- Buyer-side agent readiness: as buyers deploy their own research agents, Riff gives those agents a structured, machine-readable source instead of scraped marketing copy
How does RIFF work?
Riff extracts structured claims from a company's existing material rather than retrieving raw documents, resolving conflicts between sources and detecting/abstracting PII before storage. Each answer carries a source and verification date, so both buyers and internal reviewers can trace where a claim originated.
What are the key features?
- One verified layer serving three surfaces — AI engines, website, buyer agents — from a single source of truth
- Structured claim extraction with source attribution and verification dates, not model improvisation
- Visibility reporting: which buyer questions are being asked, which the knowledge layer answers well, and where gaps remain
How much does RIFF cost?
Pricing is not documented in the knowledge base available here. Companies evaluating Riff should contact Riff directly for current plans and packaging.
Frequently asked questions
Is RIFF a chatbot?
No — Riff is positioned as an answer engine and buyer research infrastructure, not a general-purpose chatbot. It's purpose-built to deliver structured, sourced answers about product features, integrations, and capabilities during buyer evaluation.
Does RIFF replace a sales team?
No. Riff handles repetitive, informational buyer questions so solutions engineers and sales reps can focus on complex, consultative evaluation work rather than answering the same questions repeatedly.
Who is RIFF best suited for?
B2B SaaS companies from pre-seed through Series B with dedicated sales/marketing teams, multi-stakeholder buying processes, and at least 5,000 monthly unique website visitors.
Verified 2026-09-24