Know what shoppers ask AI before you optimize for it
Platforms don't tell brands what shoppers ask. ChatGPT, Gemini, and Google AI Mode keep this data private. Shoppers ask the same thing in many ways, and questions are often personal.
Brands can wait for the little data that platforms release, or build their own view of demand. Gravton does this for your catalog. If you don't know what you're optimizing for, you miss most of the demand.
WHAT YOU SEE
How Gravton maps demand
Intent comes first. Questions follow
Most tools start by guessing what customers ask. Gravton starts from the intent your products serve. Each intent links to shopper questions; those link to funnel stages, then to the products, attributes, and competitors that answer them
| Card | Line | Example signal |
|---|---|---|
01Intents | The shopper needs your categories and products serve. | “Your range serves 'frizz control', but your catalog only talks about 'shine'.” |
02Questions | What shoppers ask AI for each intent, in the way they phrase it. | “Shoppers ask whether it's safe for colour-treated hair before they ask about ingredients.” |
03Funnel stages | Where each question sits, from discovery to comparison to purchase. | “You show up in comparison questions and disappear at discovery.” |
04Seasonality | Intents that rise and fall with seasons, festivals and events. | “Wedding-season questions start six weeks before your campaign does.” |
05Products | Which of your SKUs serve each intent, and which serve none. | “Three SKUs serve 'sensitive skin'. Only one is described that way.” |
06Attributes | The qualities shoppers name when they ask. | “Shoppers ask about fit and fabric. Your product pages lead with colour.” |
07Competitors | Who serves the same intent, and how they position for it. | “A newer brand owns the 'budget' intent in your category.” |
08Priority | Which intents matter most, weighted by demand and commercial value. | “Two intents hold most of your commercial opportunity.” |
HOW IT WORKS
A strong starting point, then a living model.
Start from intent
The real question isn't “what might customers ask?” It's “which intents do I serve?” Gravton finds the intents behind your categories and products. Everything else builds from there.
Expand into questions
For each intent, Gravton maps the questions shoppers ask across funnel stages and seasons. Questions are grouped by intent, so thousands of prompts stay structured, not just a long list.
Learn the market around it
Gravton analyzes how your brand positions itself, which segments you serve, and how competitors target the same shoppers. It maps which of your products serve the same or different intents. It also draws on your Google Search Console data and anything you share about your products and positioning, so it identifies intents accurately.
Validate with your team
The first model usually covers 70 to 80% of what matters. Your team reviews it with ours, so it reflects your priorities. Validation sharpens the model. It doesn't remove difficult opportunities just because you aren't winning them yet.
Keep it current
Intents and questions change over time. Gravton keeps updating the model from market signals, seasonality, and competitor moves. The AI answers themselves often show where demand is heading before anything else does.
Example: Women's running shoes
Illustrative- Category
- Women's running shoes
- Intents mapped
- 14, from “first marathon” to “wide feet”
- Questions per intent
- 6 to 12, across discovery, comparison and purchase
- Where you show up
- Comparison questions on cushioning
- Where you're missing
- Every discovery question on “wide feet”, an intent two of your SKUs serve
- What it tells you
- The demand exists and you have the product. AI doesn't connect the two yet.
WHY IT MATTERS
No one outside the platforms can see exact query volumes, and Gravton doesn't claim to. Demand Intelligence combines search signals, market data, and repeated sampling of AI answers into a relative view: which intents matter most, which are growing, and which are new.
That's enough to decide what to optimize first. The same question set drives the rest of the platform. Product & Retail Intelligence shows how AI answers it, and Measurement tracks it every week.