Built on 17 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
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.
Entity architecture that makes your brand citable by machines and discoverable by humans.
GEO (Generative Engine Optimization) is the discipline of making your brand recognizable to AI systems as a citable source. We build the entity architecture, structured signals, and cross-platform presence that these models and communities pull from when generating answers.
Entity and knowledge graph engineering
We define your brand as an entity with clear topical relationships, attributes, and associations. This means structuring your web presence so AI models can map your identity, your domain, and your authority within your category.
Structured data architecture
Schema markup, JSON-LD, and semantic HTML give Google's rich results and knowledge graphs clean signals, and we build them properly. We are also straight about the limit: AI models read your visible HTML, not your markup. Schema is parsing hygiene. What earns citations is entity consistency and facts rendered where models can extract them.
Query fanout optimization
The same buyer query fans out across Google, ChatGPT, Perplexity, Reddit, and LinkedIn with different results on each. We map how your target queries behave across platforms and engineer content that captures visibility on each surface.
Content optimization for AI retrieval
LLMs retrieve information differently than search engines rank pages. We restructure your content for passage-level retrieval, clear factual statements, and the question-answer patterns that AI systems extract and cite.
Cross-platform authority building
Google AI Overviews and Gemini, ChatGPT web search, Perplexity, Claude, Reddit, Quora, LinkedIn. Each platform has different authority signals. We build brand presence and entity consistency across all of them, because your buyers are already using more than one, and no single engine dominates the way it used to.
How GEO and SEO actually differ.
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.
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
Entity architecture
We build your brand's entity infrastructure: consistent entity signals, knowledge graph alignment, topical associations, and the crawlable, well-structured content that AI systems read to understand and categorize your expertise. Schema sits underneath for the Google layer.
- Brand entity definition and schema markup
- Topical authority mapping for AI retrieval
- Structured data architecture (JSON-LD, semantic HTML)
- Cross-platform entity consistency
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
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
Three free tools to test your AI visibility.
Same diagnostics we use on engagement, published in full.
Free checklist
GEO Checklist
Self-serve review covering entity signals, structured data, and retrievability. The framework we apply on day one of a GEO engagement.
Free tool
Visibility Kit
Where your brand currently surfaces across Google, AI search, and the community platforms buyers research on.
Free review
Signal Check
On-page and indexability scan that surfaces the technical signals AI crawlers and Google both rely on.
Frequently asked questions.
Generative Engine Optimization. The discipline of building the infrastructure that gets your brand cited in AI-generated search results: ChatGPT, Google AI Overviews and Gemini, Perplexity, Claude, Bing Copilot, and whatever comes next.
Usually not. Google rankings run on backlinks, keyword relevance, and page-level signals. AI systems pull from entity relationships, structured data, and source authority patterns. We've seen brands ranking first on Google that don't appear in a single AI-generated answer for their category.
No. GEO builds on top of strong SEO infrastructure. The entity architecture and structured data you build for AI visibility also strengthens your traditional search presence. They compound together. And if you don't have SEO infrastructure yet, we build that too.
Google AI Overviews and Gemini, ChatGPT (web search), Perplexity, Claude, Bing Copilot, and the community platforms these models pull from: Reddit, Quora, LinkedIn. Each has different retrieval patterns and citation behaviors, and the mix is shifting fast. ChatGPT no longer dominates AI search the way it did a year ago; Google's Gemini surfaces and Claude now take a meaningful share, so optimizing for one engine leaves the rest of the field uncovered.
Through LLM user agent tracking, referral analytics, and server-side logs. We track which AI crawlers access your content, which platforms send referral traffic, and how your entity signals change over time. Real data from confirmed sources.
Both, and the traffic side is growing. AI answers increasingly link out to their sources, and referral visits from AI platforms have grown several times over year on year, with early third-party data (SimilarWeb, 2026) showing they convert at rates rivaling paid search. Citations build presence; the links inside them capture demand. We engineer for both, and we measure both.
Entity architecture changes can start producing citations within 4-8 weeks, depending on your existing web presence and domain authority. Full citation infrastructure typically compounds over 3-6 months.
No one can. AI citation is probabilistic, and these platforms update their retrieval systems constantly. What we build is the infrastructure that maximizes your probability of being cited, tracked through real analytics.
No lock-in. We work on structured engagements with clear deliverables and timelines. You stay because the infrastructure is producing results.
GEO is typically scoped alongside or as an extension of SEO infrastructure work. We build proposals around your specific market, competitive landscape, and existing web presence. Get in touch and we'll scope it for your situation.
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.