Introducing abm.dev — account-based marketing for AI agents

Once, marketing was a person who knew you. The handwritten note. The right call at the right moment. The detail nobody else caught.

Then GTM scaled, and lost it. Volume at the expense of relevance. Enrichment that's stale, scattered across ten vendors, built for dashboards nobody opens.

So we built abm.dev: account-based marketing for AI agents.

Hand it a person or a company. Get back verified contact data plus synthesised account research in one call: eighty-nine canonical fields, every one with a citation, research angles you can save, and writeback to your CRM.

What comes back in one call

• One call, ten providers behind it. Aggregated, deduped, reconciled. No per-source bills. No glue code.
• Built for agents, not dashboards. /llms.txt, /openapi.json, and an MCP server, so your Claude, OpenAI, or LangChain agent discovers and calls it with zero setup.
• Grounded, not guessed. Every field carries its source. No fabricated facts. No silent fallbacks. When something can't be verified, "not verified" is the answer, never an invention.

Why it works the way it does

A great rep once knew every account: their context, their goals, the real blocker. Now the data's rich enough to do it again. At scale this time. That's the whole idea. Personalisation, at scale.

Try it

It's open beta. Every new account gets twenty dollars in free credits with code LAUNCHCODES. Bring a LinkedIn URL, or a name and a company, and watch it come back enriched.

→ abm.dev

Stuart McLeod, co-founder, abm.dev