Generative Engine Optimization.
Generative Engine Optimization (GEO) is how you get cited by ChatGPT, Perplexity, Claude, and Google AI Overviews when buyers ask questions in your category. We build the chunked content, schema, and entity graph that AI engines actually quote.
The New Rules of Search.
Long-form data-backed analysis of why generative engine optimization (GEO) demands a fundamentally different playbook. 8,000 words. Every claim cited.
Read the whitepaper →The search landscape is splintering.
ChatGPT crossed 200 million weekly active users and keeps growing. By mid 2025 it overtook Bing for daily web traffic. Google AI mode adoption is growing about 4% per day. One in five internet users worldwide uses ChatGPT monthly.
The data on Google itself is also moving. AI Overviews now appear on a growing share of queries. The click economy behind them is measurably different from the pre-AI Overview baseline.
- 13% of Google search queries triggered an AI Overview as of March 2025 (Ahrefs)
- 88.1% of AI Overview queries are informational (Ahrefs)
- 34.5% drop in position-1 CTR when AI Overviews are present (Ahrefs)
- 43% zero-click rate on AI Overview queries vs 34% without (SemRush)
- 33% overlap between ChatGPT and Google results (Profound)
- 66% of Americans used social search in the last month
- 40% of Americans have used TikTok as a search engine (64% of Gen Z)
Organic traffic isn't dying. It's evolving. Showing up is now as important as getting the click. Google rankings are still the backbone of LLM visibility (LLM traffic is mostly additive), but citation-readiness is a separate discipline.
How we run GEO. 13 pillars in three clusters.
Technical GEO. Enabling discovery.
- Schema evolution for generative search. FAQ, HowTo, Article, Organization, Person, Product.
- AI bot crawling audits. GPTBot, ClaudeBot, PerplexityBot log file analysis.
- Log file analysis for LLM interactions. Who crawled, what they pulled, how often.
- Agentic search readiness. Model Context Protocol (MCP) endpoints, Markdown-for-bots edge serving.
- Vector embeddings for semantic search surfaces. Building embedding coverage on internal and external search layers.
Content GEO. Being the source AI cites.
- Content topic clusters and semantic search optimization. Cluster architecture mapped to buyer questions.
- Semantic internal linking optimization. Link graphs that reinforce entity authority.
- Product and service taxonomies. Taxonomy design that AI engines can parse.
- On-page optimizations. Titles, meta descriptions, headers, category landing pages (CLPs), product detail pages (PDPs).
- Blog creation and content expansion. New surface area mapped to cluster gaps.
Monitoring and reporting.
- Skill-generated tracking prompts at scale. geo-prompt-research generates hundreds of tracking prompts per brand.
- Agentic verification across engines. ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini. Weekly cadence.
- Automated delta reports. geo-competitor-analysis produces week-over-week citation share reports.
What you get.
- A 40-page GEO audit with prioritized recommendations
- A 90-day execution roadmap sequenced by citation impact
- Content refactoring of your top 20 to 50 pages into citable chunk architecture
- Schema implementation (FAQ, HowTo, Article, Organization, Person)
- A citation monitoring dashboard with weekly delta reports across ChatGPT, Perplexity, Claude, and Google AI Overviews
- A published GEO methodology doc we license to your team for internal use
The stack we deploy.
Named tools, not vague capabilities. This is what runs your engagement.
Who this is for.
B2B and B2C companies in competitive search markets where buyers already ask AI engines for recommendations. Minimum content footprint: roughly 20 indexed pages. You need enough surface area to refactor against.
You also need an editorial operation that can execute the content work, or budget for us to run it. GEO is not a one-time audit you file in a drawer. It is an ongoing discipline.
Frequently asked questions.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of structuring your content, schema, and entity graph so AI engines like ChatGPT, Perplexity, Claude, and Google AI Overviews cite your brand when users ask questions in your category.
It extends classical SEO with chunked architecture, FAQ and HowTo schema, and citation-hook authoring patterns that AI engines prefer.
How is GEO different from SEO?
SEO optimizes for ranking links in Google's results. GEO optimizes for being quoted inside generated answers.
The overlap is real but partial: GEO weights content chunking, schema coverage, entity clarity, and direct-answer formatting far more heavily. A page can rank in classical Google and still be invisible in ChatGPT. And vice versa. You need both disciplines now.
Which AI engines do you optimize for?
ChatGPT, Perplexity, Claude, Google AI Overviews, Gemini, and the smaller engines that matter in specific verticals (You.com, Brave Search, Kagi). We monitor citations across all of them and prioritize based on where your buyers actually ask questions.
How long does it take to see results?
Early citation signal shows up in 30 to 90 days on well-scoped queries. Compounding visibility, where you are the consistent default citation in your category, takes around six months of disciplined content and schema work.
Anyone promising faster is either lying or working in a very thin category.
Do I need to rebuild my site?
No. GEO works on your existing CMS. We refactor content into citable chunks, layer on schema, and tune entity signals. All without a replatform. If your site is fundamentally broken we will tell you, but that is rare.
Do you track our brand across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews?
Yes. We generate hundreds of tracking prompts per brand with the geo-prompt-research Skill, verify them across all major engines on a weekly schedule, and produce delta reports via geo-competitor-analysis.
Productized as our LLM tracking package starting at $750/month. Scopes up for competitor analysis or full execution.
LLM tracking packages.
We are partnered with three leading LLM tracking providers to deliver per-engine citation monitoring. Start at $750/month for the productized tracking offering. Scope up for deeper analysis and full GEO execution.
LLMsRefs
Best value.
Tracks which domains and pages are cited by Large Language Models (LLMs). Strong for off-site and citation strategy development. Best for brands focused on being referenced.
Profound
Industry leader.
Tracks brand presence, sentiment, and competitors inside AI responses. Best for brands prioritizing reputation and positioning in AI answers.
Lightweight tracking
Simple setup, fast time-to-value.
Tracks brand mentions across AI-generated answers for defined prompts. Best for teams new to prompt tracking or running pilots.
LLM tracking is a separate productized offering; it is not bundled into existing SEO or GEO retainers. $750/month as a minimum. Scoped up for brands that want reports, competitor deltas, or full execution.
Read the methodology.
We publish how we work. If you can execute it yourself, we have done our job.
// playbook / geoThe complete GEO audit methodology
Seven steps. Steal the workflow. We will still outperform you. Because execution is the moat.
Read the complete methodology →Get a free GEO audit in 48 hours.
Submit your site. Our agents audit your content chunking, schema coverage, and AI-engine citation gaps. You get a prioritized 20-page report. No call required.