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Beyond your own data, Concierca AI can give your agents a curated intelligence layer about your market — the brands you compete with, how they’re moving, and what’s happening across the industry. This is the Vertical: not a web search, but a structured, benchmarked data product with its own signals, comparisons, and playbooks.
You don’t need to learn signal names or query syntax. You (or your agent) ask a business question in plain language — “Is this brand growing?”, “Compare these three competitors”, “What’s happening in the market?” — and the intelligence layer maps it to the right data.

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What you can ask

One brand

“Give me an overview of this brand.” · “Is it growing?” · “What changed recently?” · “Where is it vulnerable?” · “What’s its current strategy?”

Compare brands

“Compare these two — or five — competitors.” · “Who’s stronger organically?” · “Who has the better launch strategy?”

Scan the market

“Which brands are accelerating?” · “Which show warning signs?” · “Which recently changed direction?”

Industry & markets

“What’s happening in the industry right now?” · “How competitive is this country?” · “Where should we expand?”

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What it covers

The intelligence spans several channels for each tracked brand — organic social, paid ads, video/reviews, and cross-channel behaviour — expressed as signals (growth, momentum, launch style, ad strategy, reviewer sentiment, weaknesses, and more), plus market benchmarks (how competitive a market is, where the industry is heading) and editorial playbooks on how to act on what you see.

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How to read it well

A few principles keep answers honest — your agents follow them automatically, and they’re good to know:
  • Coverage first. Not every channel is tracked for every brand. If something isn’t monitored, the answer says so rather than guessing.
  • Facts vs estimates. Measured numbers and projected ones are labelled differently — an estimate is never presented as a hard fact.
  • Bands, not fake ranks. Where the data gives a range (“upper mid-range”), you get the range — not an invented exact position.
  • Evidence → playbook → recommendation. A good recommendation shows what the data says, what the playbook advises, and only then the suggested action.

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Where it lives

In the app, market-intelligence tools are available to your agents once your workspace has a vertical connection (see Connections). Over MCP they appear as the vertical_* tools on your workspace endpoint.

Full operating guide

Building an agent or AI client that uses market intelligence? The Vertical Intelligence section in the API reference is the complete operating guide — the tools, the routing (one brand → card, many → compare, market → benchmark), the grounding rules, and a full library of business-question recipes.