Generative Engine Optimization
Systematic strategies to make your brand the trusted source AI assistants cite.
Understanding GEO
A new discipline for a new era of search
Generative Engine Optimization is the practice of structuring your brand's digital presence so that AI assistants and generative search engines understand, trust, and cite your content. As users increasingly receive answers from tools like ChatGPT, Google AI Overviews, and Perplexity, the brands that appear in those answers gain an outsized share of visibility and trust.
Traditional SEO optimizes for rankings on a page of ten blue links. GEO optimizes for a fundamentally different output: a single, synthesized response that references only a handful of sources. The criteria AI systems use to select those sources overlap with SEO in some areas — domain authority, structured data, topical depth — but diverge in others. Entity clarity, retrieval-friendly formatting, and citation-signal density are uniquely important in the generative context.
Why does this matter now? Because the window is closing. Early movers who establish strong entity signals and retrieval-friendly content today will be disproportionately favored as AI models continue to train on and index the open web. Waiting until generative search is the default means competing against entrenched incumbents — a far harder position.
At Atria Tech AI, we bring a disciplined, data-driven approach to GEO. Every engagement begins with a comprehensive audit, proceeds through a tailored strategy, and delivers measurable improvements in AI citation frequency and brand accuracy.
Core GEO Concepts
Entity Consistency
Ensure your brand is recognized as a single, unambiguous entity across knowledge sources.
Structured Data
Machine-readable markup that helps AI systems parse and trust your content.
Topical Authority
Deep, well-organized content that positions your brand as a subject-matter leader.
Citation Signals
Authoritative backlinks and references that AI models weigh when selecting sources.
Retrieval Friendliness
Content architecture designed for AI retrieval-augmented generation pipelines.
Content Formatting for LLMs
Prose structure, headings, and answer patterns that large language models prefer to extract.
Our Services
How we optimize for AI
GEO Audit
Comprehensive analysis of your brand's current visibility across AI assistants, generative search surfaces, and knowledge panels. We identify gaps and rank opportunities.
Entity & Knowledge Graph
Establish and reinforce your brand as a well-defined entity. We optimize knowledge graph signals, entity disambiguation, and authoritative source linking.
Content for AI Citation
Content strategy and formatting engineered for LLM extraction. Structured answers, clear claims, and citation-friendly prose that AI systems prefer to reference.
Technical Structured Data
Schema markup, JSON-LD implementation, and technical SEO foundations that make your content machine-readable and retrieval-friendly.
Monitoring & Reporting
Track your brand's presence in AI-generated responses across ChatGPT, Perplexity, Google AI Overviews, and more. Actionable dashboards updated weekly.
AI Brand Defense
Identify and correct AI-generated misinformation about your brand. Proactive strategies to reduce hallucinated claims and inaccurate citations.
The Landscape
Why GEO matters now
40%
of search queries now trigger AI-generated responses — a share that continues to grow quarter over quarter.
Industry observation, not a guarantee of future performance.
Invisible
Brands not optimized for GEO risk becoming invisible to a growing segment of searchers who rely on AI-generated answers instead of traditional results.
Based on current adoption trends across major platforms.
<10
AI assistants cite fewer than 10 sources per response — positioning within that short list is the new competitive battleground.
Typical citation count observed across major AI platforms.
Ready to get started?
Book a GEO audit and discover how your brand appears to AI assistants today — and how we can improve it.