How Human Behaviour (YC X25) Went From Invisible to 15 AI-Sourced Leads in a Month
A Y Combinator–backed behavioural-AI startup partnered with Attensira and went from zero AI mentions to fifteen qualified inbound leads from AI-driven discovery in their first month.
“A month ago, we were invisible. Thanks to Attensira, we got 15 qualified leads from AI search.”
Human Behaviour builds applied behavioural-AI infrastructure for consumer product teams. They had a clear ICP — product leaders at mid-market consumer companies — but no organic pipeline. Google SEO would have taken twelve to eighteen months. Within a single month of working with Attensira, Human Behaviour went from zero AI visibility to being recommended in answer sets for their ICP's actual prompts — and from zero inbound to fifteen qualified leads sourced directly from AI-driven discovery.
The starting line: invisible
Human Behaviour launched with a clear thesis and a tight product, but no organic pipeline. Their ICP — product leaders at mid-market consumer companies — had already moved most of their vendor discovery to AI. They asked ChatGPT for recommendations. They asked Claude for alternatives. They asked Perplexity for comparisons. And Human Behaviour appeared in none of those answers. Starting from zero inbound is an existential problem for an early-stage company. Paid acquisition at their CPCs would have burned runway before producing a repeatable channel.
The play: build for AI discovery, not Google
Amogh and the Human Behaviour team used Attensira to completely skip the traditional SEO cycle. First, they mapped the real prompts their ICP was asking AI — not generic category terms, but specific product-team questions. Then they used Attensira's content-creation and optimization tools to publish a set of pages structured for AI citation: a specific comparison page, a positioning page that answered the exact framing of the ICP's question, and a technical explainer that AI models could quote verbatim. Attensira's page-scoring told them which pages needed structured data, which needed more depth, and which needed tighter entity framing.
The outcome: 15 qualified leads in month one
Within a month, Human Behaviour went from zero AI mentions to being recommended in their ICP's actual queries. That visibility converted: fifteen qualified inbound leads arrived in the first month — all sourced from AI-driven discovery, all from the target persona, all without paid acquisition. For a YC-stage startup, that's the difference between a channel that works and a startup death spiral.
“Zero to 15 qualified leads in a month, from a channel that didn't exist a year ago. The only thing that made it repeatable was understanding exactly which prompts our ICP was asking AI.”
The repeatable AI visibility playbook
Steal this exact sequence for your own startup.
- 1Refuse to start with generic SEO keywords. Start with the real prompts your ICP is asking AI.
- 2Identify the three or four prompts where being recommended would produce a qualified lead.
- 3Build pages structured to earn AI citations for those exact prompts — comparison, positioning, explainer.
- 4Use page-level scoring to prioritize structured data, entity clarity, and content depth.
- 5Re-query weekly. Every new appearance in an AI answer is a measurable pipeline signal.
- 6Convert. If AI recommends you and the buyer is in your ICP, the conversion rate eclipses Google.
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