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LLMs are sending us leads — and we didn't pay for ads

3 min read
LLMs are sending us leads — and we didn't pay for ads
LLMs are sending us leads — and we didn't pay for ads

Something Unexpected Started Happening

Something wild has been happening at BlackBox Vision. Or maybe not that wild, in retrospect.

Since the start of the year, we've been detecting a new qualified lead acquisition channel that wasn't on our radar: LLMs.

It's now 20 leads in the last three months who, when asked how they found us, give the same answer: "ChatGPT!" Or Gemini. Or Claude. Some of them were even given our direct company contact details by the model.

It feels almost magical. But the truth is, last year Manu and I — along with the team — saw this shift coming.

We Bet on a Paradigm Shift

We knew the way people search for products and services was changing. The move from Google to answer engines was accelerating, and we decided to redesign our website with a completely different approach.

We didn't obsess over aesthetics. We obsessed over semantic clarity.

We wanted our value proposition to be crystal clear at a structural level — not just visually appealing, but machine-readable. We focused on getting the content relationships right and nailed the technical foundations: strict HTML usage, meta tags, URL naming, sitemap, robots configuration, and structured data.

Today many call this AEO — Answer Engine Optimization. For us, it's just SEO with a strategic and technical twist.

What Changed in Practice

The shift wasn't about adding fancy features. It was about discipline:

  • Content that states what we do clearly — No vague marketing speak. Direct statements about our services, expertise, and who we help.
  • Technical hygiene — Proper HTML semantics, structured data, clean URLs, complete meta tags. The boring stuff that machines actually read.
  • Intentional interlinking — Every page connects to related content in a way that helps both humans and AI understand the full picture.
  • Openness to AI crawlers — We made sure our robots.txt and sitemap welcome the models we want recommending us.

None of this required a massive investment. It required focus and the willingness to prioritize substance over surface.

Why This Matters for Startups

If you're a startup founder or CTO, this should be on your radar. The lead acquisition landscape is fragmenting. People are asking AI models for recommendations before they ever type a Google query. And unlike paid channels, you can't buy your way into an LLM's answer. You earn it.

The competitive advantage here is timing. Most companies haven't adapted their web presence for AI discovery yet. The ones that move early will compound that advantage as LLM usage grows.

Here's what makes this channel uniquely valuable:

  • Zero acquisition cost — No ad spend required
  • High intent leads — People asking LLMs for solutions are actively looking to buy
  • Trust transfer — A recommendation from ChatGPT or Claude carries implicit credibility
  • Compounding returns — Once a model learns to recommend you, it tends to keep doing so

The Lesson

Seeing those changes we implemented months ago now converting into qualified leads confirms the effort was worth it.

The potential of getting ahead of how machines read your business is incredible. And the playbook isn't secret — it's just that most people haven't started yet.

The question isn't whether AI models will influence how people discover services. They already do. The question is whether your business is positioned to be recommended.

Next step

Want to discuss how to position your startup for AI-driven discovery?

We'd love to help you build a web presence that LLMs actually recommend.

See Brand & Website Get in touch

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Product Strategy AI