Imagine there are a million companies that seem to fit your industry profile. They share the same industry, have similar sizes, revenues, locations, and employee numbers. On paper, they all look like your ideal customers.
But how many actually use the technology your product is designed for? How many have the infrastructure that your solution integrates with? How many build with the frameworks you support? And how many are transitioning to a setup where your product becomes essential? Chances are, it's just a small percentage.
That's where most B2B outreach fails. Just because a company fits the industry mold doesn't mean they're ready to buy. If you're creating AI infrastructure tools, targeting every AI company isn't a strategy. Selling LLM observability to a company merely experimenting with LLMs isn't enough. A company actively running LLM operations, hiring ML infrastructure engineers, and tackling orchestration challenges is a whole different ball game.
Yet, many prospecting tools lump all these companies together in one list—same industry, same employee count, same filters. But their need for your product is completely different. The issue isn't a lack of leads; it's spending time on companies that have no immediate interest in what you offer. Your ideal customer profile (ICP) is evolving, and your approach should too.
Here's what's fascinating. Companies are always leaving hints about what they're up to and where they're headed. A new GitHub repo. A new dependency in a project. A framework migration. An integration launch. A new AI-driven product. Hiring their first inference engineer. Moving workloads into production. Switching up their tech stack.
Each of these changes tells a story. Sometimes, it's a sign they're adopting new things. Other times, it's an indication they're experimenting or facing challenges. And sometimes, it's the first hint they might need your product.
On their own, these activities might not say much. But connected, they become a goldmine of insights. Imagine changing how you prospect. Suppose you're selling infrastructure to companies building AI agents. Instead of targeting 5,000 AI startups, picture pinpointing those:
Actively developing agent-based applications.
Starting to use orchestration frameworks.
Hiring engineers for agent infrastructure.
Testing new inference providers.
Launching products relying on LLM workloads.
Now you have a genuine reason to reach out. You know their projects, their tech, and why your product might be crucial. That's a whole new approach to outreach. You're not just blasting messages at companies that vaguely fit your ICP. You're finding those whose engineering actions make them relevant.
This is what we're doing at Technography.ai. We track tech adoption, engineering activities, migrations, launches, and hiring trends to help AI infrastructure and DevTool companies find accounts on the move. The idea is simple: Your best prospects aren't just the ones with the right industry, revenue, or employee count. They're the ones making changes that make your product vital. And these changes often happen long before they fill out a demo request.
Nail your ICP. Know what they're building. Spot the signals. Then make your pitch. Because 100 truly relevant accounts are far more valuable than 10,000 that merely look like your ICP.
