When someone asks ChatGPT, Gemini, or Perplexity to compare options and make a recommendation, the AI synthesizes an answer from whatever it understands about the market — and either includes your brand accurately, or leaves it out entirely. GEO is the discipline of making sure generative AI systems understand who you are, represent you accurately, and include you in the recommendations, comparisons, and summaries they generate.
Generative AI systems increasingly act as the first filter in buying decisions — recommending vendors, comparing products, and summarizing markets before a person ever visits a website. If a model's training data and retrieved content don't represent your brand clearly and favorably, you're excluded from that recommendation by default. GEO isn't about tricking a model — it's making sure the content it draws from is accurate, well-structured, and genuinely representative of what you offer, so the synthesis it produces includes you fairly.
Testing how, whether, and how accurately your brand appears in comparisons and recommendations today.
Aligning how your brand is described across your site, directories, and third-party sources.
Building genuinely useful comparison, "best of," and category pages models can draw from.
Strengthening presence on review sites, directories, and industry publications models cross-reference.
Making sure claims about your business are correct, current, and consistently stated everywhere.
Ongoing prompt testing across engines to track inclusion, accuracy, and sentiment over time.
B2B SaaS and software brands whose buyers now ask AI tools for recommendations.
Professional services firms that win clients through comparison-driven research.
Healthcare and medical brands that need accurate, favorable representation in AI answers.
eCommerce and DTC brands that need to appear in AI-generated product comparisons.
Enterprise and category leaders where entity clarity matters at scale.
We had no idea ChatGPT was describing us with outdated pricing until the audit surfaced it — that alone was worth the engagement.
GEO client — United StatesRunning real comparison and recommendation prompts across major engines to baseline current representation.
Generative visibility audit and baseline representation.
Entity consistency and comparison/category content.
Accurate presence on review sites and directories.
Prompt testing for inclusion, sentiment, and accuracy.
We started showing up in 'best of' comparisons generated by AI tools that we'd never appeared in before.
GEO client — United StatesPricing depends on category competitiveness, current entity consistency, content volume needed, and whether ongoing multi-engine monitoring is included.
| Plan | Investment | Best For |
|---|---|---|
| GEO Audit | Custom | Baseline of AI representation |
| GEO Program | Custom | Entity, content & presence work |
| Monitoring Retainer | Monthly | Ongoing multi-engine tracking |
Request a free GEO audit and get a real, prompt-tested baseline of how ChatGPT, Gemini, Perplexity, and Copilot describe and recommend you.
The entity consistency work fixed inconsistencies across our own site we hadn't even noticed ourselves.— US GEO client
Running real comparison and recommendation prompts across major engines to baseline how, whether, and how accurately your brand appears today.
| Metric | Before | After (Weeks 1–2) |
|---|---|---|
| Brand inclusion | Not appearing in comparisons | Surfaced accurately in prompts |
| Accuracy | Outdated pricing/info | Corrected across sources |
| Representation | Unfavorable or incomplete | Clear, favorable framing |
“We had no idea ChatGPT was describing us with outdated pricing until the audit surfaced it — that alone was worth the engagement.”
Aligning how your brand is described across your site, directories, reviews, and press — then building the comparison and category content models can draw from.
| Metric | Before | After (Weeks 2–12) |
|---|---|---|
| Entity consistency | Inconsistent across sources | Aligned across site, directories, press |
| Comparison content | Minimal | Genuinely useful "best of" pages |
| Inclusion | Left out of AI recommendations | Appearing in AI comparisons |
“We started showing up in 'best of' comparisons generated by AI tools that we'd never appeared in before.”
"GEO means tricking AI models."
GEO isn't about tricking a model — it's making sure the content it draws from is accurate, well-structured, and genuinely representative of what you offer.
"GEO replaces traditional SEO."
GEO builds on top of solid technical SEO and works alongside AEO — most brands benefit from running both.
"GEO is the same as AEO."
AEO optimizes specific pages to be the cited source for a direct answer. GEO is broader — how your brand as a whole gets understood and recommended across generative AI outputs.
"You can guarantee inclusion in AI answers."
No agency can guarantee inclusion — generative engines don't publish official visibility metrics. We focus on the entity consistency, content, and trust signals that correlate with accurate representation.
"GEO is a standalone gimmick."
GEO is integrated with SEO and AEO — grounded in real semantic SEO and entity fundamentals, not guesswork.
GEO is the practice of optimizing your brand's entity presence and content so generative AI systems like ChatGPT, Gemini, and Perplexity understand, represent, and include you accurately in comparisons, recommendations, and summaries.
AEO focuses on individual pages becoming the cited source for a direct factual answer. GEO is broader, focusing on how your brand as a whole is represented and recommended across generative AI outputs, including comparisons where no single page is the answer.
No. No agency can guarantee inclusion, since generative engines don't publish official visibility metrics and outputs vary by prompt and over time. We focus on the entity consistency, content, and trust signals that correlate with accurate, favorable representation.
GEO works best on a solid technical and on-page SEO foundation, and pairs naturally with AEO. If your site has significant technical issues, we typically recommend addressing those in parallel.
We run structured comparison and recommendation prompts across major generative engines before and after work begins, track entity consistency and content coverage improvements, and monitor sentiment and accuracy over time.
This is common and a core part of what a GEO audit surfaces. We identify where inaccurate or outdated information is likely coming from and work to correct it across your site and third-party sources.
Yes. Entity clarity becomes more important at scale, where multiple product lines or sub-brands can create ambiguity for AI systems trying to understand who you are.
Whether you're starting GEO from scratch or want to know why competitors keep showing up in AI comparisons and you don't, we'll show you exactly where the gap is.