Every agent visit is a signal. The Intent Graph captures all of them.
AI agents arrive carrying your customers' intent — budget, preferences, comparisons, urgency. The Intent Graph maps every signal into a living, compounding data structure that powers your agent, your content, and your re-activation campaigns.
What the Intent Graph captures.
Product Intent
Which products agents evaluate most, which features they prioritize, and which SKUs drive the most interest across platforms.
Comparison Patterns
Who you're compared against, on which dimensions, and how your positioning ranks in head-to-head agent evaluations.
Pricing Sensitivity
Budget ranges agents carry, price-point clustering, and how pricing influences recommendation probability.
Feature Priorities
Which capabilities drive recommendations — ranked by platform, by intent type, and by competitive context.
Platform Behavior
How ChatGPT evaluates differs from Gemini differs from Perplexity. Platform-specific patterns and preferences.
Temporal Trends
How intent shifts over time, seasonal patterns, emerging demand signals, and competitive landscape changes.
Every agent visit becomes actionable intelligence in four steps.
The Intent Graph doesn't just log visits — it extracts structured meaning from every agent interaction, maps it to a living knowledge structure, and feeds downstream systems that act on it.
Built from every agent visit. Richer every day.
Your graph doesn't just log visits — it builds a living map of what your customers want. Which products agents evaluate most. Which price points win. Which features drive recommendations. Which competitors appear in the comparison set.
Every dimension is structured, queryable, and automatically wired into every other system — your AI agent responses, your content optimization, your re-activation audiences.
Six merchant outcomes from one intent layer.
See what agents ask your store
Every query, every budget range, every feature priority — the questions shoppers are really asking AI agents about your category, surfaced in one place.
Map pricing sensitivity
Understand how price points cluster by shopper segment, which ranges win comparisons, and where your catalog is over- or under-priced vs. agent-expected bands.
Identify competitive blind spots
See who agents compare you against, on which dimensions. Find the feature, positioning, or price gap where you're losing recommendations.
Build compounding intelligence
Every visit enriches the graph. Your intent intelligence grows while competitors start from zero.
Track feature-level wins
Know which product attributes drive recommendations on ChatGPT vs. Gemini vs. Perplexity — each platform weighs differently, your graph captures each.
Feed every downstream system
Intent data automatically powers your AI agent responses, your content optimization, and your re-activation campaigns. One capture, three downstream wins.
The graph gets richer with every interaction. Competitors starting later can never catch up.
Every agent visit adds a signal. Every signal enriches your understanding. Every day, the distance between you and competitors who haven't started grows wider. The Intent Graph is a data moat that compounds automatically.
Start capturing signals today and by next quarter you'll have intelligence your competitors can't replicate — because the only way to build it is to accumulate it over time.
A competitor starting 6 months after you will need 12+ months to reach the intelligence level you had at month 6.
Three specialist coworkers reading the intent signal.
For capturing customer intent, these three coworkers run point — operated from Claude Cowork, ChatGPT Codex, or Manus.
Visibility Analyst
Measures the completeness and platform coverage of your captured intent. Surfaces where agent signal is thinnest.
Reporting Analyst
Turns raw intent data into a weekly narrative brief. What shifted, which platforms moved, what to do next.
Honesty Auditor
Verifies that captured intent signals reflect honest shopper behavior — not manipulated prompts or spam traffic.
Intent intelligence for every vertical.
Apparel & Fashion
See which styles, sizes, and occasions AI shopping agents surface most. Track fit questions, seasonal demand, and the attributes that drive add-to-cart.
Health & Beauty
Track which ingredients, concerns, and claims agents evaluate for shoppers. Monitor shade and skin-type matching, comparison sets, and repurchase intent.
Home Furnishings & Decor
Understand how agents weigh dimensions, materials, and room fit. Track delivery and assembly questions, comparison patterns, and high-consideration intent.
Electronics & Tech
See which specs, compatibility checks, and comparisons agents run before recommending. Track price sensitivity, bundle interest, and review-driven intent.
Food, Beverage & Grocery
Track which diets, ingredients, and brands agents evaluate for shoppers. Monitor subscription and replenishment intent, comparison sets, and trust signals.
Sporting Goods & Outdoor
Map how agents match shoppers to activity, skill level, and conditions. Track gear comparisons, sizing questions, and trip-driven purchase intent.
See your Intent Graph in action.
Start capturing agent intent signals today. Your competitive advantage starts compounding immediately.