To get mentioned in AI-generated answers, your brand must be a trusted, verifiable entity. Combine clean schema, answer-first content, and third-party coverage to create cross-domain consensus LLMs can cite.

Traditional SEO optimizes for ranking. GEO optimizes for inclusion inside generative answers. That means focusing on entities, schema, factual precision, and consensus across authoritative domains.

No one controls model outputs, but we maximize likelihood by aligning all inputs models rely on: verified entities, structured data, and authoritative corroboration.

Because this is our whole focus. First movers spend more time in the lab than on sales calls. You benefit from that head start.

Most clients notice early visibility within 2–4 weeks, and sustained Share-of-Answers growth within 2–3 months, as models refresh their knowledge faster than search engines recrawl.

Implementation starts around $500 / month, scaling with content volume and technical scope. Early adopters gain compounding results for a fraction of later-stage effort.

You are still early: most of the brands are lacking a GEO strategy, meaning early movers can gain advantage with minimal investment.

An LLM SEO agency specializes in optimizing for AI search engines, such as ChatGPT, Gemini, and Perplexity, unlike traditional SEO agencies that focus solely on Google SERP ranking. LLMO agencies use AI insights and advanced tools to help brands stand out in AI search engines.

We onboard a limited number of partners – up to 15 clients per year (typically 3-4 per quarter) – to maintain depth of integration and direct founder involvement.

Availability depends on current workload and strategic fit, not just demand.

Get a free LLM visibility report first, and if your project aligns with our focus areas, we’ll schedule a kickoff workshop within the next open cycle.

We measure impact using metrics built for the AI era, not vanity KPIs.

1. Share-of-Answers – how often your brand is cited inside AI search results across ChatGPT, Gemini, Perplexity, and Claude.
2. Citation Quality – authority and relevance of the sources referencing you.
3. Cross-Engine Mentions – visibility across multiple LLM ecosystems.
4. Protected Demand – how much search exposure your brand retains when AI Overviews reduce organic clicks.

These metrics collectively show not just rankings, but AI-level influence – your brand’s presence inside the answers themselves.

No – LLM SEO (GEO) builds on traditional SEO rather than replacing it.
Both systems operate on overlapping foundations, but AI search engines use those signals differently.

In practice, SEO earns you traffic, while GEO earns you inclusion inside the AI answer itself. You still need to rank – but you also need to become the source models cite when generating those rankings into answers.

Recent research (Chen et al., University of Toronto, 2025) found that:

• 76.1% of AI Overview citations also rank in Google’s Top 10, meaning strong SEO fundamentals directly reinforce GEO visibility.
• However, AI engines prioritize Earned media (independent, authoritative publishers) over Brand or Social sources by margins of 70–90%, while Google maintains a more balanced mix.
• Local overlap between Google and AI engines averages under 20%, especially in specialized or service-based sectors, showing that GEO introduces a distinct layer of discoverability.

Yes. We don’t upload proprietary content to public tools without consent. We work within your governance and redaction rules.