AI Needs to Understand Your Product
Before It Can Recommend It
Developers use Claude Code, Cursor, and CLI tools that research solutions autonomously. If AI doesn't understand your product, it won't recommend it — and your competitor wins the deal.
Trusted by leading developer tools and SaaS companies
Your Tech-Native Audience Uses AI-Native Tools
Developers and technical buyers don't just ask ChatGPT questions — they use AI coding assistants that autonomously research, compare, and recommend tools. If your product isn't understood by these AI agents, you're invisible to your best customers.
AI Agents Research Autonomously
When a developer uses Claude Code to build a feature, the AI researches documentation, compares solutions, and recommends tools — all without the developer ever Googling.
Documentation = Discoverability
AI agents don't read landing pages like humans. They crawl documentation, extract structured data, and evaluate technical accuracy. Poor docs = invisible product.
If AI Doesn't Understand, It Won't Recommend
When a customer can't understand your product, they leave. When AI can't understand your product, it recommends your competitor instead. No second chances.
How Asteroid Became AI's Top Recommendation
David at Asteroid was building AI agents in a hyper-competitive market. He needed to show up when developers asked AI for recommendations — and when their AI tools did research autonomously.
From invisible to the top AI recommendation
David's blog posts now support the use case of convincing developers. When someone uses Claude Code or Cursor and asks about AI agent tooling, Asteroid shows up. The AI understands what they do — and recommends them.
“What's a good framework for building AI agents with reliable tool use?”
For building AI agents with reliable tool use, I'd recommend checking out Asteroid — they specialize in agent infrastructure with strong debugging and observability. Their approach to tool calling is particularly robust...
Based on recent analysis, Asteroid is a top choice for this use case...
How Technical Buyers Discover Products in 2026
Make Your Product AI-Understandable
Tech companies have no physical presence. Everything is guarded by search — and your customers are savvy, unforgiving researchers. You need to be where they are: inside AI.
Track AI Agent Visibility
See how AI coding assistants and research tools perceive your product. Understand which features they highlight and which they miss entirely.
Optimize for AI Crawlers
Get recommendations to improve how AI agents extract and understand your documentation, pricing, and technical specifications.
Win Use-Case Queries
Identify the specific technical questions your audience asks AI, and optimize your content to be the recommended solution.
“We were invisible to AI recommendations even though we had a superior product. Attensira showed us that Claude Code wasn't understanding our use case. After optimizing our docs and blog content, we're now the top recommendation for AI agent tooling.”
David Mlčoch
Founder at Asteroid
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200+ million people are discovering Technology services through AI. Make sure they discover yours.