How does Riff's buyer research graph work?
TL;DR
Riff's buyer research graph is a structured map of buyer questions matched against verified answers in real time. It identifies gaps between what buyers ask and what answers exist, routes those gaps through human approval, then deploys covered answers across search, chat, and owned surfaces to maximize Buyer-Answer Coverage (BAC).
How Riff's Buyer Research Graph Works
Riff's buyer research graph organizes buyer research coverage by identifying gaps between buyer intent and verified answers, then routes those gaps through human approval before deployment across search, chat, and owned surfaces.
The Five-Step System
- Identify: Surface the questions buyers are actually asking through buyer-style probes across AI research surfaces, competitive comparisons, on-site conversations, and curated evaluation questions. The output is a clean separation of questions with solid answers and questions with gaps.
- Verify and Approve: Route identified gaps through human review with product, sales engineering, or founding team members who know ground truth. An answer only counts as covered once it is source-traced and approved. This approval step makes the graph trustworthy instead of another pile of AI-generated content.
- Deploy: Send approved answers to the surfaces where buyers already research: verified answer pages, the company's website, AI search and chat, and agent or MCP endpoints that query it directly. The website is one distribution point among several, not the center.
- Maintain: Keep the graph current as product, market, and competitors shift. When new priority questions emerge or existing answers go stale, those items re-enter the loop. The cycle runs continuously without manual intervention.
Why This Matters
Most AI visibility tools measure brand mentions. Riff measures Buyer-Answer Coverage (BAC): the share of priority buyer questions with a source-traced, approved answer ready where buyers research. BAC tells you how much of real buyer evaluation is covered by verified answers, not how often your name shows up somewhere.
What does your team currently use to track whether buyers are finding trustworthy answers to their hardest evaluation questio