General AI can write. Reach Dog gives it a market to reason over.
A model can draft product copy, posts, and campaigns. It cannot know your current catalog or dependable market numbers from memory. Reach Dog connects product reality, buyer language, market signals, and catalog facts so the Reach Agent can investigate visibility questions and cite the evidence behind its answer.
A category tree cannot hold the whole product story.
Current taxonomies need compact labels. A bike can be road, mountain, hybrid, touring, or cruiser. A buyer can ask for a bike for climbing hills, commuting in rain, carrying camping gear, or riding with back pain. The category is useful. It is not the whole need.
The buyer adds dimensions the category does not carry: what the product must do, where it will be used, when it matters, who it is for, and why one property creates a benefit.
One buyer question can contain an entire content plan.
A question can reveal what the buyer needs, where the product will be used, when it matters, who it is for, and why a feature matters. It can also reveal the specifications, objections, and proof the buyer needs before purchasing.
Working through one question once is manageable. Checking those signals across a catalog, preserving the evidence, rejecting unsupported claims, and returning useful actions for review is a repeatable agent workflow.
Reach Dog brings the evidence
Buyer language, product neighborhoods, attributes, five buyer dimensions, and available market signals come from the commerce map.
The Reach Agent runs the work
Ask one question in plain language. The Reach Agent dispatches the appropriate specialists and returns one answer with citations.
You decide what happens next
Use the evidence to change a listing, build supporting content, test a campaign, investigate an assortment opening, or take no action.
Reach Dog maps both sides of the market.
The commerce map connects more than 360 million product listings to semantic product neighborhoods, buyer questions, search language, attributes, market signals, and five buyer dimensions.
Over 360M product listings. The raw market substrate: product titles and descriptions from the open market.
29.6M semantic product neighborhoods. Comparable products organized by meaning, not only by merchant category labels.
70.5M natural-language buyer questions. Full-sentence ways people describe needs, situations, outcomes, and constraints.
101.3M analyzed keywords. Compressed search vocabulary connected back to product neighborhoods.
What it does for the buyer, where it matters, when it matters, who it is for, and the benefit that makes it worth choosing.
The point is not that one table is large. The point is that the layers connect.
The buyer adds five questions a category cannot answer by itself.
What does it do for me?
Where will I be?
When does it matter?
Who is it for?
What benefit makes it worth choosing?
Reach Dog stores these dimensions around product neighborhoods so the merchant can work from the buyer's situation back to the right inventory.
Now connect the market evidence to your catalog.
The market map exists before you arrive. When you connect a catalog, Reach Dog compares your products with it. That turns general market intelligence into specific questions and possible actions for your store.
- Buyer phrases that connect to products you already carry
- Situations and benefits your content can answer
- Product and assortment decisions still open to you
- Price position inside comparable product neighborhoods
- Market-grounded questions the Reach Agent can answer with evidence
The agent is useful because the evidence exists before you ask.
Use general-purpose AI for drafting, summarizing, and reasoning. When a question depends on current market evidence, Reach Dog supplies the commerce-specific map, catalog context, and cited data behind the answer.
The Reach Agent does not rely on the model's memory for market numbers. It works from the commerce map, runs the appropriate specialists, and returns cited evidence.
Most retail AI faces the shopper. Reach Dog faces the merchant.
On-site assistants work inside one catalog. Reach Dog interrogates the broader market on the merchant's behalf, then resolves the answer against that merchant's own products.