Generative Engine Optimization: get cited inside the AI answer.
GEO is the work that makes ChatGPT, Perplexity, Gemini and Google AI Overviews reach for your brand when they answer your buyers. Not a hack, a discipline: the passages, proof, entities and signals that turn you into a source the models trust and repeat.
What is generative engine optimization?
Generative engine optimization (GEO) is the practice of optimizing your content so AI answer engines cite and recommend your brand. Where classic SEO targets a position in a list of links, GEO targets a mention inside the synthesized answer that now sits above that list, or replaces it entirely.
You will hear three overlapping terms, and it helps to keep them straight. GEO is the umbrella: optimizing for any generative engine. AEO, answer engine optimization, focuses on being the direct answer to a question. LLM SEO describes optimizing specifically for large language models like the ones behind ChatGPT and Claude. We treat them as one connected problem, because the same fundamentals move all of them at once.
The reason this matters is simple math. A large and growing share of searches now end without a click, because the AI answer gave the user what they needed. If your brand is not the cited source in that answer, you are invisible at the exact moment of intent, no matter how well you rank the old way.
Why an engine cites one brand and ignores another.
AI answers are not random. Models favour sources that are clear, well-structured, consistently referenced across the web, and unambiguous about which entity they describe. GEO is the deliberate engineering of those four things.
Answer-first passages
Content structured so a model can lift a clean, self-contained answer to a specific question, without stitching fragments together or guessing at your meaning.
Citable evidence
Original data, specifics, named sources and dates. Models lean toward content that looks like it can be trusted and attributed to something concrete.
Unambiguous identity
Consistent signals across your site, schema, references and the wider web, so engines know exactly who you are and what you are authoritative about.
Cross-web consensus
Being referenced on the third-party sources and communities the models already read. Citations beget citations, and consensus compounds.
How we engineer citations.
We do not guess. We reverse-engineer the answers your buyers already see, find the exact bar the cited sources cleared, and then clear it better. Everything is tracked, so we know what is working and can do more of it.
Map the prompts
We find the real questions your buyers ask the engines, then record who gets cited today and why.
Decode the answers
We break down cited sources: their structure, evidence and entity signals, to see the bar you must clear.
Out-source the sources
We create clearer, better-evidenced content and reinforce it with schema, PR and consistent brand signals.
Track share of AI voice
We monitor how often each engine cites you versus rivals, on a live dashboard.
GEO, AEO and LLM SEO, untangled.
Generative Engine Optimization
The umbrella discipline: making your brand the answer across every generative engine, from Google AI Overviews to standalone chat assistants.
Answer Engine Optimization
The sharp end: structuring content to be the direct, quotable answer to a specific question a buyer asks.
Large Language Model SEO
Optimizing for how models are trained and retrieve information, so your brand shows up in the raw knowledge, not just the live search layer.
Different names, one goal. We run them as a single strategy so effort in one lifts the others.
GEO questions, answered.
What is the difference between SEO and GEO? +
SEO optimizes to rank in a list of links. GEO optimizes to be cited inside the AI-generated answer that now sits above or replaces that list. They share fundamentals, strong content and technical health, but GEO adds explicit work on answer structure, evidence and entity signals.
How do you get a brand cited by ChatGPT or Perplexity? +
We reverse-engineer the answers. We find the prompts your buyers use, study who is cited and why, then build clearer, better-sourced, well-structured content around the entities those answers depend on, reinforced with schema, digital PR and consistent signals. Then we track and iterate.
Can you guarantee a citation in AI Overviews? +
No honest agency can guarantee a specific placement, the same way none can guarantee a number-one Google ranking. What we can do is systematically raise the probability by clearing the bar the engines reward, and measure the gains as they compound.
How do you measure GEO success? +
Share of AI voice: how often, and how prominently, each engine cites you versus your competitors across the prompts that matter. We report it on a live dashboard alongside traditional rankings and traffic.
Is GEO worth it if AI search is still new? +
That is exactly why it is worth it. The brands building AI-search authority now are capturing attention while competitors wait. Early citations compound, and being cited by one engine raises your odds of being pulled into the others.
Does GEO replace my normal SEO? +
No, it extends it. GEO sits on top of a healthy technical and content foundation. If that foundation is weak, we fix it first through our AI SEO services, because engines cannot cite pages they cannot read or trust.
Own the answer before your competitors do.
We will show you which AI engines cite you today, who is winning your prompts, and how to take that ground.