We help B2B & SaaS GTM teams turn search into revenue

30M impressions. 100 inbound meetings/month. It wasn't enough. Here's what we were missing.

We just added $506K in contract value from SEO and AI search in 4 months.

Here's how it happened.

Buyer research has changed fast. More people are using ChatGPT, Perplexity, and Claude to solve problems, compare vendors, and build shortlists.

All before they ever talk to sales.

For us, that meant one thing: If someone is searching for the problems we solve or evaluating agencies like ours, we need to show up in those decision moments.4 months ago we started working with Reach AI to turn SEO and AI search into a real growth channel. Not top-of-funnel traffic. High-intent searches where people are actively researching solutions and shortlisting partners.

Here's what changed:

→ Organic + LLM search combined generated $506K in contract value
→ LLM search traffic grew 7.6x in 3 months
→ Organic search traffic grew 7.3x in 4 months
→ Combined traffic share went from 16.5% to 33.3%, doubling in 3 months
→ SEO and AI search is now our #1 traffic source
→ Ranking keywords increased by +41,470 (+983%)

And this doesn't even fully capture the AI search impact on direct traffic.

Here's the truth about attribution: It's messy. Anyone claiming perfect tracking is either naive or trying to sell you something.

In practice, we track first click and last click in UserMaven, look at assisted conversions, and ask prospects on sales calls where they first heard about us. Then we log it in the CRM. That's enough to guide decisions without pretending the model is perfect.

But it still undercounts AI search. A prospect discovers ColdIQ through an AI answer, then later Googles "ColdIQ" or types coldiq.com directly. The original AI touchpoint disappears.

Shoutout to José Velez, Bernardo Ferreira, and the Reach team.

They pull real questions and intent signals from where buyers actually learn and decide. Then they narrow it down to the keywords and prompts that really matter for pipeline.

From there, they monitor how different AI models respond, reverse-engineer what patterns win, and adapt as models evolve.

That's what makes SEO and AI search feel less like guesswork and more like a repeatable system.

If you're a B2B company wondering whether SEO and AI search optimization can actually generate pipeline: This is the most concrete proof point I've seen.

Let me know if you want an intro.