GEO vs AEO vs SEO
- SEO
- Makes your pages rank for keywords people type into Google.
- AEO
- Gets your content cited when AI answers direct user questions.
- GEO
- Builds your brand authority so AI recommends you across generated content.
Generative engine optimization builds your authority inside the AI systems that now shape buying decisions — so ChatGPT, Gemini, Perplexity, and Claude don't just mention your category, they recommend your brand by name.
Generative engine optimization (GEO) is the practice of making your brand recognizable and recommendable inside AI systems. It shapes how ChatGPT, Gemini, Perplexity, and Claude describe your business when users ask broad questions about your category.
AI tools no longer just answer questions — they make recommendations. When someone asks ChatGPT "what's the best dental clinic in Kelowna" or Perplexity "which agencies specialize in SEO for clinics," the AI names specific businesses. GEO determines whether your brand is among those names, and whether the AI describes you accurately.
GEO is broader than AEO. AEO focuses on structured citations in direct question-answer responses. GEO covers the full picture: how your brand appears in comparative lists, recommendation rankings, industry summaries, and any long-form generated content. If AEO makes you the cited source, GEO makes you the preferred recommendation.
AI recommendations now influence buying decisions at every stage of the funnel. Early research used to mean Googling and comparing; now it means asking an AI "what should I consider?" and getting a shortlist. If your brand isn't on that shortlist — or if the AI describes you incorrectly — you're losing deals before a prospect ever visits your site.
Unlike SEO rankings, which shift slowly, AI recommendations can change daily as models update and crawl new data. Businesses that invest in GEO now shape how AI perceives them during a critical formation window. Those that wait inherit whatever incomplete or inaccurate impression the AI has already formed — and that's much harder to correct.
GEO matters most for businesses whose buyers ask AI for recommendations before deciding. That includes local service businesses competing to be named in "best [service] in [city]" queries, B2B vendors who appear or don't appear in AI-generated shortlists, and consultants or specialists whose expertise gets summarized (accurately or not) when prospects ask AI for options. For transactional ecommerce where buyers search by exact product, GEO matters less — but for any considered purchase, it's becoming foundational.
Every generative engine optimization engagement covers four pillars: brand presence building, recommendation testing, knowledge accuracy, and ongoing AI monitoring. Each pillar shapes a different way AI models talk about your business — and each one reinforces the others.
AI models learn about brands through the web presence they crawl. We expand your footprint across high-signal sources AI tools prioritize — directories, publications, and authoritative third-party mentions that shape how AI describes you.
What we doYou can't fix what you don't measure. We run structured prompts across ChatGPT, Gemini, Perplexity, and Claude to track where your brand appears, how it's described, and where competitors are winning the recommendation.
What we doAI tools sometimes describe brands incorrectly — wrong services, outdated info, confused with competitors. We identify inaccuracies and fix them at the source, so when AI mentions you, the description is factual and flattering.
What we doAI models retrain and update constantly. What recommends you today might miss you next month. We monitor your GEO performance continuously and iterate strategy as models evolve — this is a practice, not a project.
What we doWe don't just help you rank. We shape how AI describes you when you're not in the room.
[ Remi Creative · GEO Method ]
Remi's GEO process follows four phases: baseline, build, correct, and monitor. Each phase targets a specific aspect of how AI perceives and recommends your brand.
We map how AI currently describes your brand and where gaps exist.
We expand your brand presence across the sources AI models learn from.
We fix inaccuracies and standardize how AI describes your brand at the source.
AI models retrain constantly. We track your GEO performance and iterate monthly.
The practical playbook Remi Creative uses to assess how AI describes and recommends brands. Covers testing methodology, source prioritization, and correction tactics — everything you need to audit your brand's AI presence.
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The twelve questions we hear most from businesses evaluating GEO. Short answers first, details below.
Generative engine optimization shapes how AI systems describe and recommend your brand across all generated content.
GEO goes beyond direct Q&A citations. It covers comparative recommendations, industry shortlists, and any long-form AI content where your brand might appear. The goal is becoming the brand AI recommends — accurately and by name — whenever someone asks about your category.
SEO ranks pages in search results. AEO gets you cited in AI answers. GEO shapes how AI describes and recommends your brand across all generated content.
Think of it as three layers. SEO is foundational — AI models trust sources that rank well. AEO is tactical — it wins direct citation moments. GEO is strategic — it shapes your overall brand perception inside AI systems. Most sophisticated programs run all three together.
AEO (answer engine optimization) focuses specifically on getting cited in AI-generated direct answers to user questions.
AEO is a subset of GEO. Where AEO optimizes for the "what's the capital of France" moment, GEO covers the broader "which brands should I consider in this category" moment. AEO wins specific citation opportunities; GEO shapes your overall recommendation profile. Both matter — but GEO is the bigger strategic lever for most brands.
Yes. SEO is still the foundation. AI models trust sources that rank well, are crawled frequently, and carry authority signals.
Remi's approach always treats SEO as the base layer, with GEO and AEO built on top. Skipping SEO and going straight to GEO is like trying to build authority without the credentials — AI models won't take you seriously because your underlying web presence doesn't back up the recommendation you're trying to win.
Early signals — like corrected brand descriptions and improved share-of-voice — often appear within 30 to 60 days of launching a GEO program.
Deeper shifts, like becoming the default AI recommendation in competitive categories, typically take three to six months. AI models retrain on different cycles, so progress compounds as your expanded presence gets picked up across refreshes. Patience plus measurement beats short-term tactics.
Remi tests and monitors across ChatGPT, Gemini, Perplexity, and Claude — the four platforms driving the majority of AI-influenced buyer research.
We also track Google's AI Overviews as part of the SEO layer. As new AI platforms emerge or gain traction, we add them to the monitoring rotation. GEO is a moving target — your agency should treat it as such.
Especially well — and often better than for large brands. Local service businesses face less competition in AI recommendation space because few competitors are actively investing in GEO yet.
For dental clinics, medical practices, and home services, being the AI-recommended option in your city is often more valuable than a top Google ranking — users act on AI recommendations immediately and without comparison shopping. Remi's Patient Growth System was built around this principle for BC-based health clinics.
B2B is where GEO delivers the biggest impact. Procurement teams, consultants, and decision-makers now use AI to generate vendor shortlists before any human outreach happens.
For B2B, GEO focuses on thought leadership presence, analyst mention strategy, and third-party credibility signals — the sources AI models weight heavily when recommending vendors. If your brand isn't on the AI shortlist, you're being eliminated before the RFP stage. GEO prevents that.
No. No ethical agency can guarantee specific AI recommendations — results vary by query phrasing, user context, and model updates.
What Remi guarantees is a structured, measurable, transparent process. We test recommendation performance monthly across all four major AI platforms, iterate based on data, and report openly on where your brand stands. Any agency promising guaranteed AI recommendations is either misleading you or using short-term tricks that will backfire when models update.
Monthly reports track your brand's appearance in AI recommendations, description accuracy, share-of-voice vs competitors, and AI-referred traffic.
You'll see concrete metrics, not vague promises. Reports include sample AI responses showing where your brand appears, which queries you win, and which competitors are winning the queries you don't. The methodology is transparent: we test the same prompts monthly, so growth is directly comparable over time.
GEO engagements typically start at $2,500/month with a 6-month minimum. Industry-specific packages like the Patient Growth System include a $2,500 setup fee.
Pricing reflects the depth of work required — presence building, recommendation testing across four AI platforms, source-level corrections, and continuous iteration. Cheap "AI SEO" services usually mean schema markup and nothing else, which barely moves the needle on GEO. Invest in the real practice or skip it entirely.
Start with a free GEO audit. We'll test how AI currently describes and recommends your brand across ChatGPT, Gemini, Perplexity, and Claude.
From there, we propose a roadmap tailored to your category and competition. No hard sell, no long sales cycle. If GEO isn't the right priority for your business right now, we'll tell you and point you toward what is.
Start with a free GEO audit. We'll show you exactly how AI describes your brand today across four major platforms — and what it would take to become the recommended option.
[ Free · No commitment · 5-day turnaround ]