Where Product Language Meets Buyer Language

Your buyers describe what they need. Your catalog describes what you sell.

"What's the best bike for steep hills?" Your listing says "Carbon-Fiber Road Frame." The right product. Different language. Reach Dog reads the market from the buyer's side and shows you the searches, situations, and needs that are still open to your catalog.

Paste your store URL. Watch Reach Dog read your catalog.

Reach Dog reads your products, organizes the catalog, and starts matching what you sell to the language buyers use across the market. You see the first openings while the catalog is being built. No spreadsheet. No setup call. When it finishes, your catalog is on the map and the Reach Agent is ready for your first question.

You upload. We analyze. You act.

Current taxonomies store what a product is for as a word. A buyer describes it in a phrase.

A category tree needs compact labels: road bike, mountain bike, touring bike. A buyer says "best bike for climbing hills." Both describe the same market, but only one carries the buyer's full purpose.

Your title is not wrong. It has to describe the product. The buyer is not wrong either. They describe the outcome, situation, person, timing, or benefit they need. The open ground is the space between those two vocabularies.

Buyerbest bike for climbing hills
Product systemType: Road
Reach Dogclimbing hills → lightweight → gearing → road-bike neighborhoods → matching products
A product is a story. Current taxonomies bind it to a single word, and the space between the word and the story is where the new sales are made.

We mapped online commerce from both sides.

Product systems start with what an item is. Buyers often start with what they need it to do. Reach Dog connects both. The map begins with more than 360 million product listings, organizes them into 29.6 million semantic product neighborhoods, and connects those neighborhoods to buyer language, attributes, market signals, and five dimensions of meaning.

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Product Reality
Over 360M product listings. The raw market substrate: product titles and descriptions from the open market.
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Product Meaning
29.6M semantic product neighborhoods. Comparable products organized by meaning, not only by merchant category labels.
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Buyer Language
70.5M natural-language buyer questions. Full-sentence ways people describe needs, situations, outcomes, and constraints.
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Search Language
101.3M analyzed keywords. Compressed search vocabulary connected back to product neighborhoods.
What. Where. When. Who. Why.
Five Buyer Dimensions
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 differentiator is not the size of any one table. It is the connections between product reality and buyer language.

See the ground your products can take.

Buyer Language

Searches nobody has claimed yet

See the buyer phrases and questions that map to products you already carry, then decide which ones deserve a title, content, or campaign change.

Product Opportunities

Needs your catalog can serve next

See where buyer demand points to a product, bundle, or category decision that is still open to you.

Market Position

Price against the products buyers actually compare

Compare products inside their semantic neighborhood instead of relying only on broad category averages.

Buyer Moments

Write for the situation, not only the category

See the occasions, uses, audiences, timing, and benefits around your products so content can answer the way a buyer actually describes the need.

When buyers describe a situation, commerce often has no basket to sell them.

In a dated 30-query capture of situation searches, 19 pages returned no commercial product module at all. Where individual non-apparel products did appear, eight of eleven were pre-bundled kits, sets, or packs. The market is already routing around the limits of one-product retrieval by turning the basket into a single SKU.

Captured August 4, 2026. Results vary by location, personalization, and time. The published methodology discloses the capture conditions and exclusions.

Ask one question. The Reach Agent works the map.

Ask about your catalog in plain language. The Reach Agent runs the right specialists across the commerce map and returns one answer with citations to the underlying evidence. You do not need to decide which tool or specialist to use first.

Which searches around my products are still unclaimed?
Where do my prices sit against comparable products?
What do buyers ask about products like mine?
Which buyer situations should my content answer?

If a number cannot be traced to the data, you do not see it.

Agent answers carry evidence citations and data-through dates. Numeric claims are checked against the data that produced them before the response is delivered. If a number cannot be grounded, the answer is rejected and run again.

When the question needs a brief, take the answer with you.

Reach Dog can turn the same market map into 17 intelligence reports for your catalog. They cover buyer language, market gaps, pricing, competition, audience, content, seasonality, campaigns, and catalog strategy.

  • Products and buyer phrases to connect
  • Market and pricing positions to review
  • Content moments to claim
  • Campaign structures ready for review
  • Prioritized actions for the catalog

The data tells you what exists. The reports tell you what to do.

Most retail AI answers your shoppers. Ours works for you.

On-site search and shopping assistants work inside one catalog and respond to one shopper at a time. Reach Dog faces the other way. The Reach Agent interrogates the broader market for the merchant, then resolves what it finds against the merchant's own catalog.

The graph is the market memory. The Reach Agent is how you work with it.

Why Reach Dog

One commerce map. Several ways in.

Merchant Web

Scan a store, ask the Reach Agent, and work directly with your catalog.

Read my store →

Shopify

Sync the catalog automatically and work inside the merchant workflow.

Shopify App Store →

Data Explorer

Browse the market directly before connecting a catalog.

Open Data Explorer →

BigQuery

Query the data layer for analytical and research workflows.

BigQuery →

Gemini Enterprise

Ask the Reach Agent inside Gemini Enterprise and receive cited answers and interactive cards where your team already works.

The Reach Agent →

Your buyers are already describing what they need. See where your catalog fits.

Paste your store URL. Reach Dog reads the catalog, resolves it against the market, and shows you the ground that is still open.