What is RIFF?

TL;DR

RIFF is buyer research infrastructure for B2B: one verified knowledge layer that serves answers wherever buyers research — AI engines, your website, and their agents. B2B buyers no longer start on your website. They start by asking ChatGPT, Perplexity, Claude or Google AI Overviews about your category — and increasingly they send agents to do that research for them. By the time a buyer reaches your site, or your team, they have usually already formed a view from whatever those systems happened to synthesize.

The problem is that those systems don't read your marketing site the way a search engine does. They assemble an answer from third-party reviews, forum threads, competitor comparisons and scattered product content. If your own verified knowledge isn't well represented there, the answer a buyer gets about your product can be incomplete, out of date, or simply wrong — and you never see it happen.

RIFF closes that gap by building one verified knowledge layer from your go-to-market knowledge — product docs, sales material, recorded calls, web content — and then serving that same layer across every surface a buyer researches on:

• AI search engines — so the answers ChatGPT, Perplexity, Claude and Gemini give about your product are drawn from knowledge you verified, and are citable back to you
• Your own website — so a buyer who does arrive can ask a real question and get a sourced answer instead of a contact form
• Buyer-side agents — so an agent researching on a buyer's behalf can reach structured, machine-readable answers rather than scraping your marketing copy

One layer, not three integrations. Correct something once and every surface reflects it.

How the layer is built

RIFF extracts structured claims from your material rather than retrieving raw documents, resolves conflicts between sources, and detects and abstracts PII before anything is stored. Answers carry their source and a verification date, so a buyer — or a reviewer on your side — can see where a claim came from and when it was last confirmed.

What you get back

Every buyer question is a signal. RIFF shows you which questions are being asked, which ones your knowledge layer answers well, and where the gaps are, so the layer sharpens against real buyer demand rather than guesswork.

Key Points

• One verified layer, every research surface: the same governed knowledge serves AI engines, your website, and buyer-side agents
• Verified, not generated: structured claims with source attribution and verification dates, with PII detected and abstracted before storage
• Visibility into the answers you don't control: see how AI engines represent you today, and where your knowledge is missing or wrong