GEO vs. SEO: Why “It’s Just SEO” Could Cost the Industry Billions

The SEO industry is arguing about a name while the ground shifts beneath it. A piece published June 3, 2026 by Andrew Holland on MarTech makes a sharp case: the phrase “it’s just SEO” — used by practitioners to dismiss Generative Engine Optimization as a mere rebrand — is not merely intellectually lazy, it is commercially self-destructive. When markets cannot name something, they cannot fund it, and when the SEO industry collapses GEO into an already under-resourced budget line, it actively shrinks the very category it should be expanding.

What Happened

On June 3, 2026, Andrew Holland published an analysis in MarTech that reframes a debate most practitioners assumed was settled: does Generative Engine Optimization deserve its own name, its own budget line, and its own strategic framework — or is it simply SEO adapted for a new channel?

Holland’s argument leans on memetics — the theory popularized by Richard Dawkins in “The Selfish Gene” (1976) and expanded by Susan Blackmore in “The Meme Machine.” A meme spreads not because it is accurate, but because it is easy to repeat and socially useful to those doing the repeating. “It’s just SEO” is a meme in exactly this sense: it travels through professional communities, shuts down innovation debates, and protects established hierarchies — not because it reflects strategic reality, but because it is simple and it serves people who already have budgets and titles built around the old model. Holland also identifies the dismissive label “GEO grifter” as part of the same memetic immune response — a way to delegitimize new thinking without engaging with the substance.

The critique lands because the stakes are concrete. Search is no longer primarily a ranking system. It is increasingly a recommendation system. When someone prompts ChatGPT to identify the best project management tool for remote engineering teams, or when Google’s AI Overviews synthesizes an answer to a product research query, the mechanism is fundamentally different from ten blue links. There is no position one to optimize for. There is no click-through rate to improve by moving from rank four to rank two. The output is a synthesized answer, and your brand either appears in that answer or it does not.

Holland poses a direct question that every marketing practitioner should be able to answer: “What are you doing today to increase the likelihood that a generative system recommends your brand?” If your answer mirrors your answer to “how do you rank for a keyword,” you are not doing GEO. You are doing traditional SEO and hoping it translates — which sometimes it does and often it does not.

The MarTech piece also cites the LinkedIn B2B Institute and Ehrenberg-Bass Institute report, “Easy to find: Being where B2B buying happens,” which describes GEO explicitly as “the new wave of SEO.” The report argues that generative search rewards authority, relevance, thought leadership, authentic reviews, and earned mentions — a basket of signals that maps more closely to digital PR and brand strategy than to classic on-page optimization. The report also states directly that “generative search and LLM-powered discovery are reshaping how information is surfaced, with relevance determined by content authority and context, not keywords.”

Holland’s conference anecdote is telling: when he asked attendees whether they use AI systems to make decisions, every single person raised their hand. The people buying marketing services already live in the generative search world. The argument that GEO is “just SEO” is primarily an industry-insider position, not a buyer position — and that gap is exactly where budget decisions are made.

The commercial consequence is direct. The phrase “it’s just SEO” compresses all the complexity of GEO into existing budget lines. Those existing SEO budgets are, as Holland explicitly notes, already underfunded relative to the work they are expected to cover. Adding GEO to an underfunded SEO retainer does not produce better GEO outcomes — it dilutes both disciplines while eliminating the ability to measure either accurately.

Why This Matters

The naming problem has a dollar amount attached to it. When a category lacks a distinct name, clients treat it as a feature addition to existing services rather than a standalone investment. “GEO is just SEO” becomes “add GEO to our current retainer,” which means no incremental budget, no new measurement framework, and no genuine organizational commitment to the new discipline. The agency absorbs the cost of developing GEO capabilities while billing at legacy SEO rates. That is not a terminology dispute — it is a margin problem with a compounding cost that grows larger the longer the naming battle is ceded.

Agencies face this most acutely. If a firm has built its positioning around technical SEO or content strategy, absorbing GEO means retraining staff, building new measurement capabilities, and developing new workflows — all while billing at the same rate as a content audit. The alternative is to position GEO as a distinct service line. That requires winning the naming argument, because clients will not sign a new statement of work for something they believe they are already paying for under a different label.

In-house marketing teams face a different version of the same problem. GEO requires new vendor relationships — AI visibility tracking platforms, digital PR tools, structured data systems — new reporting metrics, and new cross-functional coordination between SEO and communications teams. Earned mentions and brand mentions on third-party platforms now carry direct search value in ways that traditional SEO never required. Getting budget approved for new tools and headcount demands articulating a distinct problem with a distinct name. “We need to invest in GEO because it is categorically different from SEO” is a fundable argument. “We need to do SEO better” is a budget-neutral one that will not move the needle.

Solopreneurs and smaller boutiques face a straightforward opportunity cost problem. A consultant who continues positioning as a traditional SEO specialist will compete on price in a commoditizing market while a parallel market for GEO expertise forms at premium rates. The practitioners who name and claim GEO competence early will set their pricing anchored to 2026 GEO rates, not 2022 SEO rates. The window for early-mover positioning is open now and will narrow as the category matures.

Specific verticals face different urgency levels. B2B software is already operating in a GEO world — buyers routinely prompt AI systems with “what is the best [category] tool for [use case]” before issuing RFPs. E-commerce brands are watching Google AI Overviews absorb transactional queries that used to drive category page traffic. Local services businesses see AI-generated answer boxes replacing the traditional local pack for high-intent queries. Healthcare and finance face both the opportunity and the regulatory nuance of AI citation carrying trust-level weight.

The workflow implications are significant and structural. Traditional SEO is largely reactive: monitor rankings, identify content gaps, produce optimized content, build links. GEO requires a more proactive and distributed approach — seed credible information across authoritative third-party sources, ensure your brand’s value proposition is extractable in a single coherent statement that AI can quote, maintain fresh and factually accurate content that AI crawlers can trust, and build unlinked brand mentions across high-authority platforms. As Conductor VP Patrick Reinhart has noted, “search everywhere optimization is really happening” as the landscape diversifies well beyond Google’s traditional dominance. These are not SEO tasks with new syntax. They are PR, content strategy, and brand management tasks with direct generative search consequences.

The Data

The evidence base for GEO as a distinct discipline is accumulating rapidly. A study analyzing 10,000 real-world AI search queries, cited by Semrush, found that pages containing quotes and statistics showed 30% to 40% higher visibility in AI-generated responses compared to pages lacking these elements. That performance gap is not driven by keyword density or backlink count — it is driven by content structure, factual credibility, and extractability. These are inputs that traditional SEO tooling does not optimize for.

The comparison below maps the strategic frameworks of traditional SEO and GEO across key operational dimensions:

Additional data points from Semrush’s GEO research reinforce why the frameworks are genuinely distinct and not interchangeable:

• User-generated content platforms including Reddit, YouTube, and Facebook demonstrate high exposure rates in generative engine responses, meaning brand presence on these platforms carries direct GEO value beyond community engagement or social following
• AI crawlers demonstrate difficulty indexing JavaScript-rendered content, making server-side rendering a technical GEO priority that sits entirely outside traditional SEO workflows and tooling
• Unlinked brand mentions appear to carry significant weight in AI citation decisions, directly connecting GEO performance to PR and earned media in ways that traditional SEO never operationalized
• Google’s AI Overviews now reach billions of users monthly, and ChatGPT achieved 100 million users faster than any application in history — the scale of generative search adoption is not a future projection, it is the current operational reality

The LinkedIn B2B Institute and Ehrenberg-Bass Institute report cited in the MarTech article frames the commercial logic clearly: generative search surfaces content based on “authority, relevance, thought leadership, authentic reviews, and earned mentions.” Achieving these signals requires sustained investment across a broader marketing stack — not just on-site content optimization against a keyword list.

Real-World Use Cases

Use Case 1: B2B SaaS Brand Getting Into AI Vendor Comparisons

Scenario: A mid-market project management software company has strong SEO performance — top five rankings for its competitive keywords — but is essentially invisible when buyers prompt ChatGPT or Perplexity with “what is the best project management tool for remote engineering teams?” Traditional SEO success is not translating into GEO presence.

Implementation: The team builds a dedicated GEO program running parallel to existing SEO. They begin with a structured AI visibility audit — running buyer-intent prompts across ChatGPT, Perplexity, and Google AI Overviews and logging brand appearances versus competitors. They identify the two or three core differentiating claims they want associated with their brand and ensure those claims appear verbatim — or in close paraphrase — across a distributed set of authoritative sources: press coverage, G2 and Capterra reviews, integration partner documentation, YouTube demo video transcripts, and LinkedIn thought leadership from company executives. They restructure product and comparison pages to open with a single, quotable sentence capturing their core value proposition for AI extraction. They also address server-side rendering on key product pages, based on Semrush’s finding that AI crawlers struggle with JavaScript-heavy content.

Expected Outcome: Within three to six months, brand appearances in AI-generated vendor comparisons increase measurably. The team tracks AI share of voice alongside traditional organic metrics. Prospects begin arriving at sales calls with AI-informed context that accurately reflects the brand’s positioning — a direct signal that the GEO program is working where it matters most, inside the buyer’s research workflow.

Use Case 2: Content Agency Launching GEO as a Standalone Service Line

Scenario: A 15-person content marketing agency is watching traditional SEO retainer clients push back on pricing while the scope of work expands. Meanwhile, several enterprise clients are asking about “AI search optimization,” but the agency has no structured offering and currently folds any GEO-related work into existing SEO retainers at no additional charge.

Implementation: The agency productizes GEO as a distinct 90-day engagement: AI visibility audit, brand extractability assessment evaluating whether core claims are consistently structured and distributed across credible sources, a digital PR campaign seeding factual brand claims into authoritative third-party publications and platforms, and a reporting dashboard tracking AI citation frequency and brand sentiment across major LLM platforms. Two team members are dedicated and trained specifically on GEO tactics and tooling, separating this capacity from the existing SEO team. The agency positions the offering in client-side language — “your brand, present in every AI-generated vendor comparison your buyers see” — rather than “it’s SEO for AI,” which would invite clients to fold the budget back into their existing retainer. Following the logic in Holland’s MarTech analysis that markets fund what they can name, the agency names the category explicitly and prices it accordingly.

Expected Outcome: The agency closes initial pilots at a 35-40% premium to existing SEO retainer rates. Because the measurement framework is fully distinct — AI citation frequency versus keyword rankings — clients evaluate the service on its own terms rather than against legacy SEO benchmarks, avoiding the rate compression that comes from folding new capabilities into old pricing structures.

Use Case 3: E-Commerce Brand Shifting from Traffic Defense to Citation Presence

Scenario: A DTC skincare brand has experienced meaningful organic traffic declines on ingredient-focused category pages over the past year. Analysis confirms that Google’s AI Overviews are capturing a significant share of informational queries that previously drove clicks to these pages. The brand’s SEO team has optimized correctly but cannot defend against AI Overview absorption.

Implementation: Rather than continuing to defend a traffic model that is structurally eroding, the brand pivots from “own the click” to “own the citation.” They restructure ingredient pages to open with clear, factually precise claims in the first 100 words — language optimized for AI extraction rather than keyword density. They commission dermatologist-authored content on independent platforms that cites their specific formulations. They build structured FAQ schema on all product pages using terminology consistent with how AI systems describe ingredient categories. Per Semrush’s finding that Reddit demonstrates high generative engine exposure, they also invest in authentic presence in Reddit’s skincare communities through accurate and genuinely helpful participation.

Expected Outcome: The brand shifts its north-star KPI from organic sessions to AI citation frequency, tracked monthly via structured prompting. Over six months, AI-generated skincare guides and product recommendation responses begin citing their formulations alongside editorial mentions. Revenue attribution from AI-referred sessions — tracked via UTMs and AI referral source detection in GA4 — trends upward even as traditional organic traffic on informational queries remains flat.

Use Case 4: B2B Consultancy Building Thought Leadership for AI Visibility

Scenario: A management consulting firm has relied on Google rankings and inbound content for lead generation, but recognizes that its target buyers — senior executives at mid-market companies — are now using AI systems to research and shortlist consultants before issuing RFPs. A manual check reveals the firm does not appear in any AI-generated responses when prospects research their area of specialization.

Implementation: The firm executes a GEO-aligned thought leadership strategy grounded in the LinkedIn B2B Institute framework of authority, relevance, and earned mentions. Key consultants publish structured articles on LinkedIn and in trade publications leading with clearly quotable, credible arguments about their specific methodology and differentiating perspective. The firm creates a single-sentence positioning statement capturing their unique approach and ensures it appears consistently across their site, partner pages, Crunchbase, and all consultant bios. They commission case studies structured for AI extractability — opening with a quantified results statement, followed by the methodology, matching the pattern that Semrush’s research associates with elevated AI visibility.

Expected Outcome: When prospects prompt AI systems with “who are the leading consultants in [specialty area],” the firm begins appearing in generated responses. Because their positioning is consistent and distributed across independently credible sources, AI systems can cite them with confidence. Pipeline conversations originating from AI-assisted prospect research increase over a 12-month measurement window.

Use Case 5: Local Service Business Capturing AI-Generated Local Recommendations

Scenario: A regional HVAC company holds strong local SEO — top local pack rankings, a complete Google Business Profile, consistent NAP data — but voice queries and AI assistant responses for “best HVAC company in [city]” frequently surface national aggregators rather than their brand. Local SEO success is not translating to AI assistant visibility.

Implementation: The company shifts a portion of their local marketing investment toward GEO-specific tactics. They prioritize ensuring brand details, service descriptions, and customer reviews appear on the platforms that generative AI systems pull from most heavily: Yelp, Angi, HomeAdvisor, and local news site features. They prompt satisfied customers to write detailed, specific reviews that include the brand’s key service claims — “same-day service,” “10-year parts warranty” — so these claims accumulate across distributed credible sources. They secure a feature mention in a regional news outlet with strong domain authority. They confirm their Google Business Profile is fully structured with specific service categories, given Semrush’s finding that AI systems prefer fresh, accurate, well-structured content in their citation decisions.

Expected Outcome: AI assistant responses to local HVAC service queries begin including their brand with greater consistency. The company tracks this through monthly structured prompting of major AI assistants, logging brand appearances for core service queries across their coverage area. Over six months, visibility improves from sporadic to consistent for their highest-value service categories, and the inbound call volume from customers mentioning “my AI told me to call you” trends measurably upward.

The Bigger Picture

The “it’s just SEO” debate is a symptom of a pattern that repeats throughout marketing technology history: industries slow to name new categories lose the budget wars even when they possess the capabilities. Social media marketing was initially dismissed as “just PR.” Content marketing was “just blogging.” Marketing automation was “just email with conditional logic.” In each case, the practitioners who named, defined, and claimed the category early built durable agencies and careers. Those who folded the new discipline into the old model competed on cost until margin erosion forced a reckoning.

GEO is at exactly this inflection point in 2026. Google’s AI Overviews reach billions of users monthly, and the diversity of generative search surfaces has expanded well beyond Google — ChatGPT, Perplexity, Gemini, Claude, and a growing array of vertical AI tools each have distinct citation logic and content preferences. Managing brand presence across this distributed AI search landscape is a new operational challenge that does not fit inside a traditional SEO retainer without absorbing its margin and distorting its metrics.

The connections to adjacent disciplines are not incidental — they are definitional. GEO’s emphasis on earned mentions, authority signals, and third-party credibility places it squarely in digital PR territory. The requirement for consistent, extractable brand claims is a brand strategy function. The technical requirements — server-side rendering, structured data, content freshness — retain overlap with technical SEO but require different workflows. As Conductor VP Patrick Reinhart noted, “search everywhere optimization is really happening.” GEO is not a replacement for SEO, PR, or brand strategy. It is a forcing function that requires all three to coordinate more tightly than they ever have before — and that coordination does not happen without dedicated budget and named ownership.

The LinkedIn B2B Institute report cited in the MarTech article is significant not just for what it says but who says it. LinkedIn’s commercial interest is in making B2B buyers discoverable and in attracting marketing investment to its platform — and their research arm still concluded that GEO deserves explicit naming and dedicated strategic investment. That is not a fringe position from a GEO evangelist; it is a signal from a platform with enormous commercial incentive tied to B2B discoverability and marketing budgets.

The broader industry stakes are real. Search advertising represents one of the largest global digital marketing budget categories. If generative AI absorbs an increasing share of high-intent queries without marketers building presence strategies calibrated to AI citation logic, the ecosystem of organic search — agencies, in-house teams, content producers — will need to rebuild around new value creation models. The firms that establish demonstrated GEO competence in 2026 will benefit from the same first-mover advantage that technical SEO specialists commanded when structured data and page speed became ranking factors more than a decade ago.

What Smart Marketers Should Do Now

1. Run an AI visibility audit before your competitors do.

Execute structured buyer-intent queries across ChatGPT, Perplexity, and Google AI Overviews for your core competitive keywords, category terms, and the “best [product/service] for [use case]” prompts your buyers are most likely to use. Document exactly what AI systems say about your brand and your direct competitors. This baseline establishes where your coverage gaps are — gaps that traditional keyword rankings will not show you, because ranking in position two does not tell you whether you are being cited by AI systems at all. Per Semrush’s GEO research, brands that monitor AI mentions can identify and close citation gaps before those gaps become market share losses. Run this audit now, then schedule it monthly.

2. Make your core value proposition extractable and distribute it deliberately.

Write one sentence that captures what your brand does, for whom, and what makes it different. Then audit whether that sentence — or a close paraphrase — appears consistently on your homepage, in recent press releases, in your G2 and Capterra profiles, in your partner documentation, and in your executive bios. AI systems cite brands they can characterize consistently across multiple credible independent sources. Distributed or contradictory messaging is a direct GEO liability. Consolidate your positioning into a single extractable claim and distribute it systematically. This is brand strategy work, but the LinkedIn B2B Institute framework makes clear it has direct generative search impact — AI citation rewards authority and consistency above almost everything else.

3. Separate your GEO budget from your SEO budget, even if modestly.

The separation does not require a large initial investment. Even a small monthly allocation covering AI visibility tooling, digital PR seeding, and dedicated measurement is meaningful — what matters is that it is distinct from the SEO budget. When GEO lives inside an SEO retainer, it gets benchmarked against SEO outputs: keyword positions, organic sessions, domain authority. It will always appear to underperform against those benchmarks because it is solving a different problem. Create a GEO line item and measure it on AI visibility metrics: citation frequency, AI share of voice, brand sentiment in AI responses. This is simultaneously a measurement decision and an organizational signal. As Holland argues in MarTech, markets do not fund what they cannot name — and budget lines are how organizations operationalize what they consider real.

4. Address your technical GEO liabilities: rendering and content freshness.

Semrush’s research identifies two technical factors with outsized GEO impact. First, server-side rendering: AI crawlers struggle significantly to index JavaScript-rendered content. Product pages, comparison pages, and pricing pages that rely on client-side rendering may be effectively invisible to the systems determining AI citation decisions. Audit your most commercially important pages for rendering approach and prioritize remediation. Second, content freshness: AI systems demonstrably prefer current, accurate content. A content maintenance process that ensures factual claims on key pages are accurate and properly dated is not optional infrastructure — it is a GEO necessity. An AI system citing a stale or incorrect claim from your site is a liability, not an asset.

5. Build deliberate presence on the platforms generative AI pulls from most.

Semrush’s analysis confirms that user-generated content platforms including Reddit, YouTube, and Facebook demonstrate high exposure rates in generative engine responses. Brand presence on these platforms — authentic community participation, detailed customer reviews, transcribed video content — carries direct GEO value beyond audience building. Develop a systematic presence strategy on the platforms where your category’s buyers discuss their problems and evaluate their options. On Reddit, this means authentic participation in relevant subreddits and ensuring your brand is accurately represented in category discussion threads. On YouTube, it means publishing video content structured to answer the buyer questions your brand should own, with accurate transcripts accessible to AI indexing. These are GEO tactics with measurable AI visibility impact — not SEO tactics renamed.

What to Watch Next

Google’s monetization model for AI Overviews. The ad model for generative search results remains largely unresolved as of mid-2026. When Google introduces sponsored placement within AI Overviews — which industry observers widely expect in some form before Q1 2027 — the organic versus paid dynamic will shift again. Marketers who have built and measured organic GEO presence will be far better positioned to evaluate which queries warrant paid amplification and which can be won organically, rather than starting from zero when that moment arrives.

AI visibility measurement tooling reaching commercial maturity. The tooling gap for GEO is real but actively closing. Platforms that track brand citation frequency and sentiment across major LLMs — including Profound, Otterly, and emerging AI visibility modules within Semrush and Ahrefs — are moving from early access into broader commercial availability through the second half of 2026. Establishing measurement infrastructure now will give teams a baseline before competitors begin tracking their own AI visibility at scale.

The GEO vs. AEO terminology consolidation. Generative Engine Optimization, Answer Engine Optimization (AEO), Large Language Model Optimization (LLMO), and AI Search Optimization (AISO) are all competing labels for substantively overlapping practices. Per Conductor’s analysis, GEO and AEO share core concepts and are increasingly treated as complementary. The industry will likely consolidate around one or two dominant terms in H2 2026 and into 2027 — the winning label will attract job postings, training programs, and vendor tooling investment that further legitimize and standardize the category.

Platform-specific citation behavior diverging further. ChatGPT, Perplexity, and Google AI Overviews apply meaningfully different citation logic and surface attribution differently. Perplexity renders source links visibly within responses; ChatGPT’s attribution is less transparent; Google AI Overviews place links beneath generated text. As these platforms evolve their citation models — and potentially introduce attribution-linked monetization — the tactical emphasis for GEO will shift platform by platform. Marketers who track citation performance across platforms separately will identify where to concentrate investment for their specific category and buyer segment.

B2B buyer research behavior benchmarks. The most significant data gap right now is concrete and current buyer-side research: what percentage of B2B purchasing decisions now involve AI-assisted vendor discovery, and how does that vary by industry, company size, and deal size? Watch for research from HubSpot, Gartner, or Semrush to publish benchmark data in H2 2026 that quantifies how generative search features in enterprise buying journeys. This data will be the most powerful tool available for building the internal case to separate GEO budget from SEO budget in any organization.

Bottom Line

The “it’s just SEO” framing is not a neutral position — it is a commercially self-defeating one that compresses new budget opportunities into existing, already underfunded service lines while the underlying search market shifts to a fundamentally different model. Andrew Holland’s analysis in MarTech makes the case with uncommon precision: markets fund categories they can name, and a category that refuses to name itself cannot capture the investment it requires. Generative search is not SEO with a different algorithm — it rewards a genuinely different basket of signals, requires categorically different tactics and measurement infrastructure, and demands cross-functional coordination between SEO, PR, and brand strategy that traditional search optimization never required.

The evidence base is already compelling and growing. Semrush’s research shows 30-40% higher AI visibility for content structured for extractability and factual credibility. Conductor confirms that search is diversifying across platforms in ways that demand surface-specific strategies. The LinkedIn B2B Institute has positioned GEO as the defining new wave of SEO in B2B buyer journeys. The practitioners and agencies who name, build, and price GEO as a distinct discipline in 2026 will hold a durable structural advantage — the ones who fold it into legacy SEO retainers will discover the cost of that decision in eroding margins, displaced market share, and positioning conversations they are not ready to have.