Competitor win tracking, inside ChatGPT

No new dashboard. ChatGPT connects to the source data and answers there.

Competitive intelligence in public procurement has an unusual property: it is almost entirely public and almost entirely unread. Every award is published. Nobody has time to read them in aggregate, so teams rely on what they observed directly, which means they know about the bids they were in and very little about the ones they were not.

Connecting the award records to ChatGPT makes the aggregate view cheap enough to bother with. Ask where a named competitor has won over a period, which buyers keep selecting them, and whether their work is concentrated in one category or spread across several. The answers come from the published notices, which is a more reliable source than the impression left by the last three tenders you lost.

One caution worth stating plainly: the record shows outcomes, not reasons. It can tell you a supplier has won a buyer's work five times. It cannot tell you whether that is price, an incumbent advantage or a genuine capability gap. What it does is narrow the question down to something a person can actually investigate.

Use cases

Who is buying, and what is next

What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.

Who you are up against

The suppliers who keep winning in a category, with their award history and estimated win rate. Know the incumbent before you commit a team to the response.

What the work goes for

Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.

What is live right now

Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.

Tell us what you would want it to answer.

Four questions, so the conversation is useful. We come back to you directly.

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Questions

Can we see which agencies a competitor is strongest with?
Yes. Concentration by buyer is one of the more revealing patterns, because a supplier winning repeatedly from one agency usually signals a relationship rather than a general advantage.
Is subcontractor information included?
Only where a publisher releases it, which is uncommon. Prime awards are consistently published; subcontract detail generally is not, and we do not infer it.
How far back can we look?
It varies by source. Several years is typical, which is enough to distinguish a pattern from a single win.
What do we need on the ChatGPT side?
A plan supporting MCP connectors. We confirm the specifics with you during setup.