Key Takeaways
- Optimize for AI‑Driven Search and Conversational Responses
A GEO agency helps your brand appear inside AI‑generated answers on platforms like ChatGPT, Google’s AI Overviews, Gemini, Claude, and other generative engines, not just traditional search results. This means shaping content so AI models cite or recommend your brand when users ask questions. - Extend Traditional SEO into AI Discovery Systems
GEO builds on standard SEO (keywords, structure, authority) but shifts focus to natural language, entity relevance, and context that generative systems prefer, ensuring your content is understood and used by AI systems synthesizing responses. - Craft Content That Answers Questions Directly and Clearly
Agencies optimize pages and materials to solve user intents in a conversational format, e.g., clear FAQs, authoritative explanations, structured data, and topic depth, so that AI engines can extract and present your content as part of a summarized answer. - Build Signals and Authority That AI Models Trust
Since AI engines weigh trust and relevance heavily, GEO strategies often include third‑party mentions, consistent brand references, entity building, and distribution through reputable sources to increase the likelihood your brand is selected in AI replies. - Measure AI Visibility, Not Just Traditional Rankings
Instead of focusing solely on SERP positions and organic traffic, a GEO agency tracks AI citation rates, presence in generative responses, and conversational visibility, new performance metrics that reflect how often your brand shows up in AI answers.
Picture this. A potential customer asks ChatGPT, “What’s the best digital marketing agency for medical practices in New York?” The AI responds with three names. Yours isn’t one of them. Your website ranks on page one of Google for that exact phrase. You’ve had a solid SEO strategy running for two years. None of it matters at that moment, because the AI didn’t cite you.
This is the new visibility problem. And it’s why a growing number of businesses are asking what a generative engine optimization agency actually does, not what the term means in a glossary sense, but what the work looks like in practice, what gets measured, and whether it’s worth the investment yet.
What Generative Engine Optimization Actually Is
Generative Engine Optimization, almost universally shortened to GEO, is the practice of making your brand visible inside AI-generated answers. Not ranked in blue links. Cited inside the synthesized response that ChatGPT, Perplexity, Google’s AI Overviews, Gemini, or Claude produce when someone asks a question relevant to your business.
The distinction matters because the mechanics are different. Traditional SEO is built around keyword signals, backlink authority, and ranking algorithms that produce an ordered list of results. GEO is built around making your content credible and extractable enough that an AI model selects it as a source when constructing an answer. The optimization targets are different. The success metrics are different. And the content strategy required is different.
AI-referred sessions jumped 527% year-over-year in the first half of 2025, per Previsible’s AI Traffic Report. ChatGPT now has over 900 million weekly active users globally. Google AI Overviews reach 1.5 billion monthly users. 54% of US marketers plan to implement GEO within 3 to 6 months, per eMarketer data from January 2026.
Here’s the important caveat that responsible practitioners don’t bury: Google still sends 345 times more traffic than ChatGPT, Gemini, and Perplexity combined as of September 2025. Traditional SEO isn’t dead. GEO is an additional layer, not a replacement. Any agency telling you otherwise is selling a revolution that hasn’t happened yet.
The Five Things a GEO Agency Actually Does
When you hire a generative engine optimization agency, the work breaks down into five distinct functions. Some are familiar. Some are genuinely new.
1. AI Visibility Auditing
Before anything else, the agency needs to establish where your brand stands across AI platforms right now. This means running systematic queries, the kinds of questions your target customers would ask, across ChatGPT, Perplexity, Google AI Mode, and Gemini, then documenting whether your brand appears, how it’s described, whether the description is accurate, and where competitors are being cited instead.
This is painstaking work, not a single tool pull. AI systems are probabilistic. Superlines analyzed 34,234 AI responses across 10 platforms over 30 days and found citation volumes differed by a factor of 615 across platforms for the same brand. The same content that gets cited consistently in Perplexity might barely register in Google AI Mode. A good audit maps this across platforms and identifies the specific gaps worth closing first.
26% of brands currently have zero mentions in AI Overviews. Being mentioned at all , even neutrally , is measurable progress in this environment. The audit tells you which side of that line you’re on, and where.
2. Content Strategy Restructured Around Citability
This is the core deliverable and where most of the ongoing effort lives. AI systems don’t extract content the way a human reader processes it. They’re looking for discrete, verifiable, well-supported facts. Content that meanders, over-qualifies every claim, or buries answers in long preambles doesn’t get extracted reliably.
Effective GEO content has specific structural characteristics. Direct answers in the first 40 to 60 words of a section. High fact density, roughly one statistic or specific claim every 150 to 200 words. Clear headings that map to the questions people actually ask. FAQ sections built around natural language queries. Supporting citations from credible sources. The writing style is almost the inverse of the keyword-stuffed content that traditional SEO sometimes rewards.
Generative engines love bottom-of-funnel content, comparison pieces, “best of” lists, and detailed service breakdowns, because these give AI models the structured, decision-oriented information they need to present options to users who are close to making a purchasing decision. LLMs don’t think in keywords. They map entity relationships. They’re asking: what category does this brand own, what use cases is it associated with, and how consistently does it appear alongside specific problems or solutions? A GEO content strategy answers those questions deliberately and systematically.
For B2B and SaaS brands especially, this matters enormously. When a procurement team or a founder uses ChatGPT to research vendors before ever visiting a website, the brands that appear in that research phase have already won a significant portion of the consideration battle. The brands that don’t appear aren’t losing a click; they’re not entering the decision process at all.
3. Technical Optimization for AI Crawlers
AI platforms index the web differently from Google. They use their own crawlers, their own retrieval systems, and their own models for assessing what content is trustworthy enough to cite. A GEO agency addresses the technical infrastructure that makes content accessible and credible to those systems.
Schema markup is the most significant lever. Structured data, FAQ schema, Article schema, Organization schema, HowTo schema, make content machine-parseable in ways that improve citation rates. Content with proper schema markup shows 30 to 40% higher visibility in AI search results. The goal isn’t to add schema for its own sake; it’s to make your information logically structured so machines can consistently understand it across platforms and retrieval systems.
Page speed is also a direct AI retrieval factor. AI agents operate with retrieval timeouts; if a page doesn’t load within seconds, the agent moves on. Technical auditing in a GEO context includes the same Core Web Vitals work as traditional SEO, but with the added urgency that speed isn’t just a rankings factor, it’s an eligibility factor for AI citation.
4. Building Third-Party Authority Signals
Here’s the signal that surprises most businesses when they first encounter the GEO research data. Branded web mentions have a correlation of 0.664 with AI Overview appearances, significantly higher than backlinks at 0.218, per Position Digital’s 2026 analysis. The signal that earns you backlinks and the signal that earns you AI citations are meaningfully different.
AI systems learn about brands partly through the aggregated web, what people say about you on Reddit, reviews on G2 and Capterra, industry publications that mention your company, YouTube, LinkedIn, and community platforms. Profound’s analysis of 680 million AI citations found that across all platforms, vendor product pages barely register as primary sources. The sources AI favors are third-party, independent, and often community-generated.
A GEO agency works on building this external signal profile: digital PR placements in industry publications, review profile management across platforms like G2 and Trustpilot, strategic community presence, and podcast or media appearances that generate written transcripts. It looks partly like traditional PR. The difference is that it’s explicitly oriented toward AI citation signals rather than direct traffic from press coverage.
Pages not updated quarterly lose AI citations at 3x the normal rate, per Search Engine Land. Keeping third-party mentions current and fresh is part of this ongoing authority maintenance.
5. Measurement Across AI Surfaces
This is where GEO work is genuinely harder to demonstrate than traditional SEO, and where agency accountability varies wildly.
Traditional SEO has clean measurements of keyword rankings, organic traffic, and conversions. GEO measurement is messier. AI citation rates fluctuate, AI Mode has extremely high volatility, with overlapping results with itself just 9.2% of the time when running the same query three times. Winning a citation today doesn’t mean you’ll have it next week. The metrics are probabilistic by nature.
A good GEO agency tracks mention rate (how often your brand appears across relevant queries), share of voice relative to competitors, sentiment of mentions (positive recommendation vs. neutral citation vs. no mention), citation position within AI responses, and, increasingly, AI-attributed revenue via self-attribution. The last one comes from adding “how did you hear about us” to contact forms and discovering, as one agency did for a client, that 20% of their inbound leads were coming from LLMs despite never appearing in referral tracking data.
Platform-Specific Reality: One Strategy Doesn’t Work Everywhere
Something a credible GEO agency will tell you early is that each AI platform has distinct citation behavior, and optimizing for all of them simultaneously requires different content approaches.
ChatGPT favors encyclopedic, comprehensive content. It has historically leaned on Wikipedia and authoritative reference sources. Deep, well-sourced explanatory content performs better here than punchy, opinion-led writing.
Perplexity is more dynamic and recency-focused. It leans heavily on Reddit, YouTube, and high-engagement community content. Brands with active community presence and fresh, frequently updated content have a structural advantage on Perplexity.
Google AI Overviews are the most correlated with traditional SEO performance, 76.1% of URLs cited in AI Overviews also rank in Google’s top 10. Strong organic rankings remain the most reliable path to AI Overview inclusion, which is why abandoning traditional SEO in favor of GEO is a mistake. The two strategies reinforce each other on Google’s surfaces.
This platform variation is why a GEO agency running a single content template across all platforms isn’t doing the work properly. The citation environments are distinct enough that a differentiated approach produces meaningfully better results.
What GEO Can’t Promise You
Any agency worth working with will be upfront about the limits.
GEO outcomes are probabilistic. You can do everything right, excellent content, comprehensive schema, strong third-party authority signals, platform-specific optimization, and still see volatile citation rates because AI systems change their retrieval behavior with model updates, training cycles, and shifts in user query patterns. The agencies that promise specific citation frequencies or guaranteed appearances are overstating what the current state of the discipline allows.
The traffic numbers from AI platforms are also still modest in absolute terms. Google’s 345x traffic advantage over all AI platforms combined means that most businesses’ revenue still runs predominantly through traditional search. GEO is an investment in a channel that’s growing quickly but hasn’t displaced the incumbent. Businesses spending 80% of their SEO budget on GEO and neglecting traditional organic performance are making a bet on a timeline that may not be correct yet.
The right framing is positioning. The businesses that are establishing AI citation presence now are doing it while competition for AI visibility is still relatively low. Companies seeing positive GEO ROI report 300 to 500% returns within 6 to 12 months, according to Superlines’ 2026 analysis. The early advantage is real, but it’s an advantage in a race that’s just starting, not one that’s already decided.
When Does It Make Sense to Hire a GEO Agency?
The honest answer is that GEO makes most sense for businesses where discovery happens through research, where a potential customer spends time investigating options before making contact. If your customer journey starts with an AI-assisted query like “best options for X in my industry,” you need to be in that answer.
This is particularly true for professional services, B2B software, healthcare practices, financial services, and any business with a longer consideration cycle. For local service businesses where the customer simply searches “plumber near me” and calls the first result, GEO is considerably less urgent than getting your Google Business Profile and local SEO right.
The content creation infrastructure that GEO require regular publishing, structured formats, third-party PR placements, and ongoing freshness maintenance, is also not trivial. Businesses without a content operation in place will need to build one, either internally or through an agency, before GEO optimization produces meaningful results. The optimization layer works on content that exists. If the content foundation is thin, that’s the first problem to solve.
The Bottom Line
A generative engine optimization agency does five things: audits where your brand currently stands across AI platforms, restructures content to be extractable and citable, addresses the technical infrastructure that affects AI crawlability, builds the third-party authority signals that AI systems use to assess brand credibility, and measures citation performance over time with honesty about what the data can and can’t tell you.
It’s meaningful work. The channel is growing fast enough that building citation presence now, before the space gets crowded, is a defensible strategic decision. Just don’t let anyone sell you GEO as a replacement for the SEO fundamentals that still drive the majority of organic traffic. The two strategies are complements, not competitors. The brands that will dominate AI search in 2028 are the ones that got both right in 2026.
If you’re curious what this looks like for your specific business and industry, Digital Drew SEM works with brands on exactly this, building visibility across both traditional and AI search surfaces with strategies that hold up to scrutiny.
Q: What is the difference between GEO, AEO, and traditional SEO?
A: Traditional SEO optimizes for keyword rankings in search engine results pages. AEO (Answer Engine Optimization) focuses on structuring content to be cited in AI-generated answers across platforms like ChatGPT, Perplexity, and Google AI Overviews. GEO (Generative Engine Optimization) is closely related to AEO but specifically targets large language models and generative AI systems. In practice, most agencies use GEO and AEO interchangeably, and the underlying strategies overlap significantly; both are about being selected as a source in AI-synthesized responses rather than ranked in a list.
Q: Which businesses benefit most from working with a GEO agency?
A: Businesses where customer discovery happens through research rather than immediate intent benefit most. Professional services, B2B software, healthcare providers, financial services, and any brand with a longer consideration cycle where a potential customer spends time investigating options before making contact, have the most to gain from AI citation visibility. Businesses serving customers who make immediate, low-consideration purchases (food delivery, emergency services) have less to gain from GEO and should focus primarily on traditional local SEO.
Q: How does a GEO agency measure success if AI citations don’t always produce clicks?
A: GEO measurement typically tracks citation frequency across AI platforms, share of voice relative to competitors, sentiment of brand mentions in AI answers, and AI-referred traffic as a distinct channel in analytics. Self-attribution on contact forms asking leads “how did you hear about us?” is often the most revealing metric, since users frequently encounter a brand in an AI answer, then search for it directly later without an attributable click. Branded search volume growth is also used as a downstream indicator of AI visibility influence.
Q: How long does it take a GEO agency to produce measurable results?
A: GEO outcomes are probabilistic rather than guaranteed, but businesses with existing domain authority often see citation improvements within 4–8 weeks of structural content optimizations. Consistent citation patterns across multiple AI platforms typically develop over 3–6 months. Companies implementing GEO strategies correctly report 300–500% ROI returns within 6–12 months according to Superlines’ 2026 analysis, though individual results vary significantly based on industry competitiveness and content quality.
Drew Blumenthal is the founder and CEO of Digital Drew SEM, a results-driven, performance-focused digital marketing agency based in New York. With deep expertise in Google Ads, Meta advertising, SEO, website development, and social media management, Drew combines creative strategy with analytical precision to deliver measurable growth. He frequently shares insights on performance marketing, digital trends, and scalable strategies for business growth.