Skip to content

Built on 15+ years in organic search.

AI search optimization, engineered.

Buyers search Google, ChatGPT, Perplexity, Reddit, and LinkedIn before they ever talk to sales. Each platform retrieves and ranks information differently. We build the entity architecture and content systems that make your brand citable across all of them.

Trusted by teams who value systems over shortcuts.

Needle
s4amz
Adfixer
Botanic Lab
Boostastore
Needle
s4amz
Adfixer
Botanic Lab
Boostastore
Needle
s4amz
Adfixer
Botanic Lab
Boostastore
Needle
s4amz
Adfixer
Botanic Lab
Boostastore
Needle
s4amz
Adfixer
Botanic Lab
Boostastore
Needle
s4amz
Adfixer
Botanic Lab
Boostastore

Seven discovery surfaces. Most brands are visible on one.

Invisible outside of Google

Your brand ranks on Google. But when a buyer asks ChatGPT for a recommendation, searches Perplexity for a comparison, or scrolls Reddit for real opinions, your name doesn't come up. Each of these platforms pulls from different signals, and Google rankings transfer to none of them.

No entity presence for AI systems

LLMs don't crawl your site the way Google does. They pull from knowledge graphs, structured data, entity relationships, and patterns across the web. If your brand doesn't exist as a defined entity with clear topical associations, AI models have nothing to reference when generating answers.

The infrastructure window is closing

Most companies are watching AI search from the sidelines, waiting for best practices to emerge. The brands building entity architecture and citation signals now are the ones LLMs will default to for the next several years. Early infrastructure becomes the moat.

How GEO and SEO actually differ.

Traditional SEO
GEO / AI Search
What gets indexed
Pages and URLs
Entities and relationships
How authority works
Backlinks and domain authority
Source consistency and entity strength
What gets surfaced
Ranked list of pages
Direct answers citing sources
Content format
Long-form optimized for keywords
Structured passages optimized for retrieval
Success metric
Rankings and organic traffic
AI citations, brand mentions, answer inclusion
Discovery surfaces
Google search results
ChatGPT, Perplexity, AI Overviews, Reddit, LinkedIn

Ranking first on Google doesn't translate to AI visibility. The signals are different. The infrastructure is different. GEO requires its own architecture, built specifically for how AI systems and community platforms retrieve and surface information.

The system behind AI visibility.

Four phases. Each one builds the infrastructure that makes your brand a default source across AI-generated answers and organic discovery surfaces.

01

AI visibility assessment

We map your current presence across AI search platforms and community surfaces. Where are you being cited? Where are competitors showing up instead? What entity signals exist, and what's missing? This gives us the baseline.

  • LLM user agent tracking and referral analysis
  • Entity presence assessment
  • Competitor citation analysis across ChatGPT, Perplexity, AI Overviews
  • Content retrievability scoring and query fanout mapping
02

Entity architecture

We build your brand's entity infrastructure: structured data, knowledge graph signals, topical associations, and the semantic markup that AI systems use to understand and categorize your expertise.

  • Brand entity definition and schema markup
  • Topical authority mapping for AI retrieval
  • Structured data architecture (JSON-LD, semantic HTML)
  • Cross-platform entity consistency
03

Citation and presence engineering

Content restructured for passage-level retrieval. Authority placed across the sources these models trust. Brand presence engineered on the community platforms where your buyers already research.

  • Content restructuring for AI retrieval patterns
  • Authority source placement across platforms
  • Community platform strategy (Reddit, Quora, LinkedIn)
  • Platform-specific optimization
04

Monitoring and expansion

AI search is moving fast. We track your visibility through LLM user agent logs, referral data, and server-side analytics. Real data, not guesswork.

  • LLM user agent tracking and referral dashboards
  • Competitor visibility monitoring
  • Ongoing entity signal maintenance
  • Platform evolution tracking and new surface expansion

Concrete deliverables. No vague promises.

AI visibility assessment with LLM referral and user agent analysis

Entity architecture blueprint and implementation

Structured data and schema markup system

Query fanout mapping across all major discovery surfaces

Content restructuring for AI retrieval

Citation signal strategy and execution

Community platform visibility plan (Reddit, Quora, LinkedIn)

Brand entity consistency assessment

LLM referral tracking and server log dashboards

Monthly AI visibility reporting with real attribution data

Ongoing optimization as platforms evolve

Built for companies that want to own the AI answer.

This is for you if:

  • You're building a brand and want AI visibility as part of the foundation from day one
  • Your competitors are getting cited by ChatGPT or Perplexity and you aren't
  • You want to build AI visibility infrastructure now, before the window closes
  • You understand that the companies building entity architecture today will be the default sources tomorrow
  • You know your buyers research across multiple platforms before talking to sales

This probably isn't for you if:

  • You're looking for a quick hack to appear in ChatGPT results
  • You think prompt tracking is a real KPI
  • You don't believe AI search will meaningfully affect your market
  • You want to wait until "best practices" are established

Frequently asked questions.

Make your brand visible where buyers actually search.

Book a focused AI visibility review. We'll map your current presence across discovery surfaces and show you what it takes to build the infrastructure that gets you cited.

No long-term lock-in. Structured execution. Full transparency.