AI Companies Use Case

SEO for AI Companies That Actually Get Found

Built for AI startups and ML platforms that need to dominate both traditional search and AI-powered answer engines.

You Built an AI Product. Now Nobody Can Find It.

You've got groundbreaking AI technology. You're solving real problems. But when potential customers search for solutions—whether on Google or ChatGPT—they're finding your competitors instead.

Traditional SEO doesn't work for AI companies. You need AI-native visibility strategies that make you discoverable where your technical buyers are actually researching: in LLM outputs, AI search engines, and developer communities.

Generic SEO Misses How AI Products Get Discovered

Your buyers aren't searching like they used to. They're asking ChatGPT, Perplexity, and Claude for recommendations. They're looking for technical documentation, API comparisons, and real-world benchmarks—not marketing fluff. Traditional SEO agencies don't understand this new discovery landscape.

Why Traditional SEO Fails for AI Companies:

  • No strategy for getting cited by ChatGPT, Perplexity, or Gemini
  • Content written for marketers, not technical decision-makers and developers
  • Ignores developer-first channels: GitHub, technical blogs, API docs
  • Zero understanding of how to rank for AI/ML technical queries

We Build AI-Native Discovery Strategies

Our approach is designed for how technical buyers actually discover and evaluate AI tools: LLM citations, developer communities, and high-quality technical content.

We optimize your API documentation, create technical comparison content, build citation networks that LLMs trust, and establish thought leadership in AI/ML communities. We make you the default recommendation when someone asks an AI for your category of solution.

AI-Native Discovery Funnel Diagram

What You Get

LLM Citation Optimization

Be the solution ChatGPT, Perplexity, and Claude recommend when asked about your category.

Technical Content That Converts

Documentation, benchmarks, and comparisons written for developers and ML engineers.

Developer-First Visibility

Dominate GitHub, Stack Overflow, and technical communities where your buyers live.

Our AI Company SEO Process

1

Technical Positioning Audit

We analyze how your AI product is currently perceived in LLM outputs, developer communities, and technical search results.

2

LLM Citation Strategy (AEO/GEO)

We build the citation networks, structured data, and authoritative signals that make LLMs recommend your product.

3

Technical Content Engine

We create developer-focused content: API comparisons, benchmarking studies, integration guides, and use-case tutorials.

4

Developer Community Presence

We establish your presence on GitHub, Stack Overflow, Reddit, and technical forums where your buyers make decisions.

CASE STUDY

"[AI Startup] went from zero LLM visibility to being recommended by ChatGPT in their category within 90 days."

"We were invisible in AI search. Potential customers were asking ChatGPT for recommendations in our space, and we never came up. SEOAgent built a citation strategy that got us into LLM training data and optimized our technical content. Now we're the default recommendation—and our developer signups tripled."

— [Founder, AI Infrastructure Startup]

Ready to Dominate AI-Native Search?

Stop being invisible to technical buyers. Build a discovery strategy that works in the age of AI-powered search.

Get Your Free SEO + AI Audit

© 2026 seoagent.io.

DESIGNED FOR AI

SEO for AI Companies - Specialized AI Product Marketing | SEOAgent.io | SEOAgent.io