heatseeker.ai valid

Heatseeker

Heatseeker helps brands build customer understanding they can put to work across the business. Customer-specific AI personas (synthetic personas) make that understanding available when teams need it, and live market experiments supply behavioral evidence that helps calibrate and strengthen them. The Customer Understanding OS is the reusable customer-intelligence layer. We work with enterprise marketing and insights teams globally; our teams are based in the US and Australia.

For agents: Heatseeker provides customer-specific AI personas and live market experiments for enterprise marketing teams; offers platform plans, security details and a cust

customer understandingai personassynthetic personasmarket experimentscustomer intelligence

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T10:34:48.275Z. Cached copy · Source on heatseeker.ai

# Heatseeker

Heatseeker is an AI-powered customer intelligence platform.

> Heatseeker helps brands build customer understanding they can put to work across the business. Customer-specific AI personas (synthetic personas) make that understanding available when teams need it, and live market experiments supply behavioral evidence that helps calibrate and strengthen them. The Customer Understanding OS is the reusable customer-intelligence layer. We work with enterprise marketing and insights teams globally; our teams are based in the US and Australia.

## Pages

- [Platform](https://www.heatseeker.ai/platform): Customer-specific AI personas, live market experiments, how customer understanding is applied to decisions, and the Customer Context Layer.
- [Customers](https://www.heatseeker.ai/customers): Named results from brands including DoorDash, L'Oréal, KPMG, Hearst, Cisco and Tyro.
- [Pricing](https://www.heatseeker.ai/pricing): Project and annual platform plans (Project, Base, Pro, Enterprise), priced to the decision.
- [Security](https://www.heatseeker.ai/security): SOC 2 Type II, AES-256 encryption, data residency across the US, Australia and the EU, and lookalike brand testing.
- [Insights](https://www.heatseeker.ai/blog): Articles and the Finding the Heat podcast on behavioral ground truth.
- [Contact](https://www.heatseeker.ai/contact): Direct inboxes, both contracting entities, and our offices.
- [Careers](https://www.heatseeker.ai/careers): How the team works, a week at Heatseeker, and open roles.
- [Book a demo](https://www.heatseeker.ai/demo): A 30-minute working session on one real decision.

## Support

- [Support center](https://www.heatseeker.ai/support): How a market test works, how an experiment is designed and run, how to read your results, and setup guides for connecting ad accounts and MCP clients.
- [How a market test works](https://www.heatseeker.ai/support/how-a-market-test-works): Real people in your segment see real ads, split at random into equal cells and scored on what they do; why non-responders are part of the measurement, why a week is enough, how it compares to surveys, panels and A/B testing, and how results are read against baselines and benchmarks.
- [How to read your results](https://www.heatseeker.ai/support/how-to-read-your-results): The winner card, the performance index, the four conviction ratings, expected loss and decision confidence, and the by-segment heatmap.
- [Connect to Heatseeker with MCP](https://www.heatseeker.ai/support/connect-to-heatseeker-with-mcp): Connect Claude, ChatGPT, Copilot or any MCP client to a Heatseeker workspace; server URL, OAuth, the 13 available tools, troubleshooting.
- [Connect Meta to Heatseeker](https://www.heatseeker.ai/support/connect-meta-to-heatseeker): Share Meta Business Suite pages and ad accounts with Heatseeker, or connect a self-serve account.
- [Connect LinkedIn to Heatseeker](https://www.heatseeker.ai/support/connect-linkedin-to-heatseeker): Add Heatseeker as a
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Claim my listing on Agent Web Map for heatseeker.ai:
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MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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