AI SEO & Generative Engine Optimization

The way people search is changing. ChatGPT, Google AI Overviews, Perplexity, Claude, and Bing Copilot are increasingly how users find information, compare options, and make decisions. When someone asks an AI assistant “What’s the best SEO agency in New York?” — your brand either gets cited or it doesn’t.

This is Generative Engine Optimization (GEO) — the discipline of optimizing your digital presence to be cited, referenced, and recommended by AI-powered search platforms.

GEO doesn’t replace traditional SEO. It extends it. The businesses that optimize for both traditional search results and AI-generated answers will capture the most total visibility as search behavior evolves.

We’ve built a dedicated GEO practice that helps SaaS companies, B2B organizations, financial services firms, and ecommerce brands establish the authority signals that AI systems rely on when generating responses.

What We Do

AI Citability Audit

We analyze how AI search platforms currently treat your brand. This includes:

• AI mention tracking — testing queries across ChatGPT, Perplexity, Google AI Overviews, Claude, and Bing Copilot to document when and how your brand is cited
• Entity recognition assessment — evaluating how well AI systems understand your brand entity, its attributes, and its relationships
• Content citability scoring — analyzing your content’s structure, clarity, and authority signals to assess how likely AI systems are to cite it
• Competitor AI visibility — mapping which competitors are being cited for your target queries and understanding why

Content Optimization for AI Citation

AI systems favor content with specific characteristics. We optimize your content to maximize citation probability:

• Clear, factual statements that AI can extract and cite directly
• Structured formatting — tables, lists, definitions, and step-by-step frameworks that AI parsers handle efficiently
• Entity-rich content — explicit statements about who you are, what you do, and what makes you authoritative
• Source-quality signals — proper citations, data references, author credentials, and publication dates
• Direct answer formatting — content structured to directly answer the specific questions your audience asks AI

Schema Markup for AI Discovery

Structured data helps AI systems understand your content’s meaning and context. We implement comprehensive schema markup including:

• Organization and Brand schema with complete entity information
• FAQ schema for question-and-answer content
• HowTo schema for process-oriented content
• Article schema with author expertise signals
• Product and Service schema for commercial content
• SameAs and mentions markup for entity disambiguation

Brand Authority Building

AI systems cite authoritative sources. We build the authority signals that AI platforms rely on:

• Consistent entity information — ensuring your brand name, descriptions, and attributes are consistent across Wikipedia, Wikidata, Crunchbase, LinkedIn, and other knowledge bases that AI training data draws from
• Expert attribution — connecting content to specific named experts with verifiable credentials
• Cross-platform presence — building your brand’s presence on platforms that AI systems weight heavily
• Link building that targets sources AI systems consider authoritative

llms.txt Implementation

We implement and optimize llms.txt files — the emerging standard for helping AI systems understand your website’s structure and content. This machine-readable file tells AI crawlers what your site offers and how to best cite your content.

AI Crawler Access Management

We audit your robots.txt, meta tags, and server configurations to ensure your content is accessible to AI crawlers. Some businesses inadvertently block AI crawlers, making their content invisible to AI search platforms. We ensure your site is properly accessible while maintaining appropriate controls.

Our Approach: The APEX Method for GEO

Audit

We conduct a comprehensive AI visibility audit — testing your brand across every major AI platform, analyzing your content’s citability, evaluating your entity recognition, and benchmarking against competitors’ AI presence.

Plan

Based on audit findings, we build a GEO roadmap that prioritizes actions by impact: schema implementation, content restructuring, entity authority building, and ongoing optimization. The plan integrates with your broader SEO strategy to ensure traditional and AI search work together.

Execute

We implement schema markup, restructure content for AI citability, build entity authority across platforms, and optimize AI crawler access. We also integrate GEO considerations into all new content marketing production.

eXcel

We monitor AI citations monthly, track changes in how AI platforms reference your brand, and continuously optimize based on platform updates and competitive movement. GEO is an evolving discipline — AI platforms update their models regularly, and staying visible requires ongoing attention.

Why Choose Us for AI SEO & GEO

Dedicated GEO Practice

We’re not adding GEO as an afterthought to traditional SEO services. We’ve built a dedicated practice with specialized tools, methodologies, and team members focused specifically on AI search visibility. This depth of focus means more effective strategies and faster results.

Multi-Platform Approach

We optimize for every major AI search platform — not just Google AI Overviews. ChatGPT, Perplexity, Claude, Bing Copilot, and emerging platforms each have different citation behaviors and authority signals. Our strategies account for these differences.

Integrated with Answer Engine Optimization

GEO and AEO (Answer Engine Optimization) are complementary disciplines. We coordinate both to ensure your content captures visibility across traditional featured snippets, AI Overviews, and AI chat platforms simultaneously.

Industries We Serve

• SaaS — Product recommendations in AI-generated software comparisons and category overviews
• B2B — Expert source citations in AI-generated industry analysis and vendor evaluations
• Financial Services — Authority citations in AI-generated financial advice and service recommendations
• Ecommerce — Product mentions in AI-generated shopping recommendations and product comparisons

Results That Speak

A SaaS company was completely absent from AI-generated responses when users asked about their product category. After 4 months of GEO optimization — schema implementation, entity authority building, and content restructuring — they were cited in ChatGPT responses for 40% of tested category queries and appeared in Google AI Overviews for 23 target keywords.

A financial services firm wanted to be the cited source when AI systems generated content about their specialty. We rebuilt their content library with citable structure, built entity authority across financial knowledge bases, and implemented comprehensive schema markup. Within 6 months, they were referenced in Perplexity responses for 60% of tested queries in their niche.

A B2B company found that competitors were being recommended by AI assistants while they were invisible. We identified the authority gaps — competitors had stronger entity presence on Crunchbase, Wikipedia, and industry databases. After systematic entity building and content optimization, the client’s AI citation rate grew from 5% to 38% across tested queries within 5 months.