GEO Is Not SEO With a New Name.
Stop Treating It Like It Is.
Most B2B distributors I talk to are making three expensive mistakes with Generative Engine Optimization right now. And the agencies pitching them “GEO audits” are making it worse.
When I started advising B2B companies on GEO last year, I assumed the biggest challenge would be technical. It’s not. The biggest challenge is that everyone — vendors, agencies, internal teams — is thinking about GEO with an SEO brain.
Three misconceptions keep burning budget across the industry. Here’s what they actually mean if you’re leading digital at a B2B distributor.
Misconception #1: “AI search is just a fad. People will come back to Google.”
They won’t. Not because ChatGPT is shiny and new. Because the traditional web experience became unbearable.
Think about what your B2B buyers deal with when they search Google today. Cookie consent banners. Pop-ups. Gated PDFs that require a form fill just to read a spec sheet. Five paragraphs of SEO fluff before the actual answer. Buyers didn’t migrate to AI search because it’s trendy. They migrated because the open web stopped respecting their time.
ChatGPT now reaches over 800 million weekly users. Google’s Gemini app has surpassed 750 million monthly users. AI Overviews appear in at least 16% of all searches — significantly more for comparison and high-intent queries. Forrester’s research shows B2B buyers are adopting AI search at three times the rate of consumers. And Bain found that roughly 80% of consumers now rely on zero-click results in at least 40% of their searches.
Your buyers at $100M industrial distributors are already asking ChatGPT “what PIM solution works best for distributors with 50K+ SKUs” instead of Googling it. When ChatGPT answers that question, your brand is either in the response — or it doesn’t exist.
Gartner projects organic search traffic to commercial websites will decline 25% by 2026 as buyers shift discovery to AI engines. Meanwhile, 60% of searches now end without a single click because AI provides the answer directly.
Traditional search isn’t dead though. What we’re seeing is a fragmentation of how people find information. Some queries go to Google. Some go to ChatGPT. Some go to Perplexity. Some go to LinkedIn or Reddit. Your $50M–$500M distributor needs to show up across all of them. But pretending AI search is a passing fad? That’s how you wake up invisible.
Misconception #2: “Just do SEO, but for AI.”
This one costs the most money. SEO and GEO operate on fundamentally different logic.
SEO is an acquisition game. You optimize, you rank, someone clicks a link, they land on your site. Success = clicks. The entire model pulls traffic to your domain.
GEO is an influence game. The user asks ChatGPT a question. ChatGPT synthesizes an answer from multiple sources. The user reads that answer and never clicks anything. Success = being named, cited, or recommended inside that response.
Your buyer might never visit your website. But if ChatGPT says “for B2B distributors, Akeneo PIM paired with Shopify Plus B2B is a proven stack” — you just won the deal before your competitor’s SDR even sent the cold email.
Now here’s the nuance. SEO isn’t irrelevant. It’s actually foundational to GEO. When someone asks ChatGPT a question, the model often runs multiple Google queries behind the scenes to find the most relevant, freshest results. One Semrush executive recently described ChatGPT as essentially “Google in a trench coat” — it’s pulling from Google’s live search results and Google Shopping products. So ranking well in traditional search still matters. But it’s no longer the finish line. It’s the starting point.
What GEO adds on top is the reputation layer. It’s not about which page ranks #1. It’s about how AI systems perceive, describe, and recommend your brand when someone asks a question you should own. That competence sits closer to brand reputation management than it does to technical SEO.
Every company spent years building SEO authority. Good rankings. Solid traffic. But when I started testing B2B commerce queries in ChatGPT last year, companies with weaker SEO were getting cited more often than brands with better domain authority. Because they had cleaner, more structured, more opinionated content that LLMs could actually parse and trust.
Here’s what changes practically for distributors:
Your PIM is now your AI visibility engine. GEO for distributors starts in product data. Clean, structured, attribute-rich product content is exactly what LLMs need to cite you. When I implemented Akeneo PIM at previous companies, the structured data we built was about operational efficiency — faster time-to-market, cleaner catalogs. That same structured data is now what makes products discoverable in AI responses. If your PIM output is messy, inconsistent, or buried in PDFs — you’re invisible to AI.
Content structure matters more than content volume. LLMs optimize at the fact level. They might cite one 60-word paragraph from your 3,000-word article and ignore the rest. Forget keyword-stuffed blog posts. Write authoritative, semantically chunked content where every section can stand alone as a citable answer. Provide immediate, direct answers after each question heading. That’s what generative engines extract.
And here’s the part nobody’s talking about in B2B: topic targeting is replacing keyword targeting. Traditional SEO obsesses over specific keyword phrases. Generative engines care about comprehensive coverage of a subject. If you thoroughly address every dimension of “B2B distributor eCommerce migration” — the PIM decisions, the ERP integration pain, the Shopify Plus B2B configuration — you’re more likely to be cited than someone who wrote ten thin posts each targeting a different long-tail keyword.
85% of your AI visibility comes from places you don’t own. According to AirOps data, 85% of brand mentions in AI responses come from third-party sources. Only 15% come from a brand’s own website. That means trade publication features, conference talks, industry podcast appearances, and yes — Reddit threads, YouTube videos, and Amazon reviews — all directly feed your AI visibility. GEO is an omnichannel play.
And the citation sources shift constantly. A recent Tinuiti/Profound report found that 13% of citations in Google AI Overviews came from social media, but in the dedicated Gemini app, only 3% did. Reddit accounted for 44% of social citations in AI Overviews in January, but only 5% of Gemini social citations that same month. The landscape is volatile. Which means your strategy can’t depend on gaming one platform.
AI citation decay is real. Research by Amsive found that 50% of content cited in AI responses is less than 13 weeks old. Content that ChatGPT cited last month gets replaced by fresher sources this month. GEO isn’t a “set it and forget it” strategy. It demands continuous content freshness — a major operational shift from traditional SEO where a strong page could rank for years.
But don’t confuse freshness with spam. Some brands are flooding the web with press releases and “prompt-stuffed” blog posts, thinking LLMs will pick up the exact terminology. Google has already started penalizing that approach. Quality and structure beat volume every time.
Misconception #3: “Just buy a GEO tool and you’re covered.”
I’ll be blunt: no GEO tool on the market today is reliable enough to use alone.
Every GEO monitoring tool currently works through APIs or scraping. Both methods are imperfect approximations of what LLMs actually do with your content. The real data — how OpenAI, Anthropic, or Google’s models actually weight and select sources — isn’t available to anyone outside those companies.
The GEO platform landscape has exploded. Semrush launched Enterprise AIO. Ahrefs launched Brand Radar. Profound raised $35M from Sequoia. New entrants like Evertune, OmniSEO, and GrackerAI are all competing for your budget. But the underlying problem remains: these tools measure an approximation of AI visibility, not the real thing.
The right approach is multiple imperfect tools layered together, framed by a methodology that doesn’t depend on any single vendor. Because the GEO tool you buy today might be obsolete in six months. The pace of change is that fast.
When I advise distributors on this, I tell them Don’t invest in a tool, invest in a capability. Build internal understanding of how AI systems find, evaluate, and cite content. That knowledge survives regardless of which tool you use or which LLM dominates next quarter.
And speaking of tools becoming obsolete — OpenAI launched advertising in ChatGPT in February 2026. US-only for now, on free and Go tiers. Criteo and The Trade Desk are partnering on ad inventory. Omnicom has over 30 clients in the pilot program. Some distributors will be tempted to skip the hard GEO work and just buy their way into AI responses.
That’s a mistake. The early signal suggests these ads function as mid-funnel placements. They don’t generate brand awareness. They don’t close deals. They help buyers already considering options move forward. Useful, but not a substitute for being the brand ChatGPT cites organically when a VP of Digital asks “who can help me modernize my B2B eCommerce stack.”
The Trend Nobody in B2B Is Preparing For: Agentic Commerce
Here’s what keeps me up at night.
The current GEO conversation is about influencing what AI tells humans. The next wave is about influencing what AI does on behalf of humans.
Agent-based AI — where AI systems take actions for users, not just answer questions — is creating a new discovery layer where only the most credible, clearly structured sources make it into automated workflows. Imagine an AI procurement agent shortlisting vendors for your buyer. It’s not reading your SEO-optimized blog post. It’s parsing structured product data, API feeds, and third-party authority signals.
This is where B2B distributors have a massive, underrated advantage. You already have structured product catalogs. You already have ERP and PIM systems generating clean data feeds. The distributors who make that data accessible to AI agents — through proper API discipline, structured feeds, and machine-readable product information — will be the ones agents recommend.
As one agentic commerce lead at Accenture Song recently put it: brands need to prepare for agents as visitors as much as they prepare for users as visitors. Your website, your product feeds, your catalog infrastructure — all of it needs to be legible to machines, not just humans.
In previous roles, I connected Akeneo PIM to Shopify Plus with structured, attribute-rich product feeds. That work was about operational efficiency at the time. Today, it’s the exact infrastructure that makes products discoverable to AI agents. The companies that built clean data pipelines early are accidentally ahead on agentic commerce. Everyone else is scrambling.
What Should a $50M–$500M Distributor Do Monday Morning?
1. Test your AI visibility across multiple platforms. Open ChatGPT, Claude, Perplexity, and Google Gemini. Ask the questions your buyers ask you. “What’s the best eCommerce platform for a B2B distributor with 20K SKUs?” “How do I connect my ERP to Shopify?” “What PIM do industrial distributors use?” If your company isn’t mentioned, you have a GEO problem. Don’t test once — different platforms give wildly different answers, and responses change weekly.
2. Clean your product data. GEO for distributors starts in the PIM. Rich, structured product attributes. Clear categorization. Consistent naming conventions. This isn’t glamorous, but it’s the foundation AI systems need to cite your products — and the foundation AI agents will need to recommend them.
3. Ungate your best content. That spec sheet behind a form fill? ChatGPT can’t read it. That PDF-only whitepaper? LLMs parse it poorly. If your most authoritative content lives behind gates and in formats AI can’t access, you’re invisible. Long-form, ungated, well-structured content is what AI engines prefer.
4. Build topical authority with citable, refreshable content. Don’t write 50 blog posts. Write 5 exceptional, opinionated articles on the exact questions your buyers ask AI. Make them structured and data-rich. Update them quarterly. Half of all cited content is less than 13 weeks old. Freshness isn’t optional anymore.
5. Fix your URLs. This one’s tactical but it matters. URLs that closely match the prompts buyers type into ChatGPT get more citations. “yoursite.com/best-pim-for-b2b-distributors” beats “yoursite.com/resources/whitepaper-2024-v3-final” every time. Make your URL structure human-readable and prompt-friendly.
6. Invest in third-party visibility. If 85% of AI brand mentions come from third-party sources, your earned media strategy just became your GEO strategy. Get quoted in trade publications. Speak at industry events. Appear on podcasts. Create YouTube content — especially long-form technical videos with chapters that mirror buyer prompts. Every authoritative third-party mention tells LLMs your brand is worth citing.
7. Prepare your product feeds for agents. This is the 2027 play you should start now. Make sure your product data is accessible via APIs. Ensure your catalog is machine-readable. Think about your digital infrastructure as serving two audiences: humans and AI agents. The distributors who get this right early will own the agentic commerce era.
GEO isn’t coming. It’s here. And it rewards the same things I’ve been preaching for years: clean data, structured content, and genuine expertise over marketing fluff.
The distributors who figure this out in 2026 will own the AI-generated shortlists their buyers rely on. Everyone else will wonder why their traffic looks fine but their pipeline dried up.
Need Help Getting Your B2B Brand Into AI Answers?
This is exactly what my agency Human After All does. We help B2B distributors and manufacturers build the GEO foundation that actually works — from PIM-driven product data strategy to structured content that LLMs cite, to the technical infrastructure that makes your catalog readable by AI agents.
Not a 200-slide audit. Not a generic “digital transformation” roadmap. Hands-on implementation from someone who’s built this at Sonepar, Goodyear, and more — and knows what a $50M distributor actually needs versus what a $5B enterprise does.
If you’re Digital Marketing just realized your brand doesn’t show up when buyers ask ChatGPT for recommendations, let’s talk.
I write about B2B eCommerce implementation, PIM strategy, and Generative Engine Optimization every week for operators — not agencies. If you’re leading digital at a $5M–$1B distributor, subscribe: b2becommerce.substack.com