Friday 15 Podcast

Is Generative Engine Optimization Replacing SEO for B2B eCommerce?

Brian Beck and Andy Hoar on how AI answer engines are reshaping discovery, why traditional search traffic is declining, and what B2B marketers need to know about optimizing for generative engines.

Friday 15 Podcast

Key takeaways

  • AI-generated summaries in search results are causing organic traffic declines of 15% to 64% depending on industry and query type, according to reporting from Vox, with publishers seeing referral drops as answer engines provide responses directly.
  • IDC projects that traditional search volume could fall by 25% by 2026 as buyers shift to AI-powered discovery tools, and that by 2028 gen AI enabled search platforms will become the primary interface for shopping and product discovery.
  • Optimizing for generative engines (GEO) prioritizes semantic relevance, expertise, authoritativeness, and trustworthiness over traditional keyword density, which means third-party validation and authoritative content matter more than ever.
  • The shift creates a potential arms race where companies use AI to produce large volumes of content in hopes of appearing in answer engines, though the hosts expect those engines to develop ways to identify and deprioritize low-quality or AI-generated filler.
  • In a LinkedIn poll, 76% of respondents said GEO would become more important than traditional SEO within one year, signaling that practitioners see this shift as imminent rather than gradual.

AI summaries are reshaping search traffic

Brian opened with a report from Vox describing a significant shift in how search works. AI-generated summaries, now appearing at the top of Google search results, are reducing the number of clicks to publisher websites. The declines range from 15% to 64% depending on the industry and query type. As one example, the New York Times saw organic referrals drop from 44% to 36% in April 2025.

The underlying dynamic is straightforward: when an AI answers the question directly, users have less reason to click through to a website. Andy noted that Google is essentially competing with itself, since its traditional business model depends on driving traffic to advertisers and publishers.

Google is like eating itself. Their value to media companies and advertisers and retailers and B2B companies is driving traffic to websites. What if that traffic never goes to a website? Their business model is upside down.

Brian Beck, Master B2B

Google’s response signals the severity

Andy pointed to recent news that Google is offering voluntary exit programs to employees in its Knowledge and Information unit, the group that houses search, ads, and commerce. The company had already laid off around 12,000 people in 2023, according to public reporting. The hosts read this as evidence that Google recognizes how serious the threat is to its core business.

What GEO means for marketers

The main topic of the episode was what this shift means for B2B marketers. Traditional SEO involved optimizing pages for keywords, building backlinks, and ensuring fast load times and good user experience. GEO, or generative engine optimization, is the emerging discipline of getting content surfaced by AI answer engines like ChatGPT, Google Gemini, Perplexity, and others.

The hosts noted that when they asked practitioners in recent roundtables how to optimize for answer engines, nobody had a clear answer. Some agencies claim to have a formula, but the specifics remain vague.

Everybody said it is a priority, and when we asked how do you do it, nobody knew how to do it.

Andy Hoar, Master B2B

IDC’s predictions for the next few years

Brian cited IDC analyst Heather Hershey, who spoke at the Commerce Tools Elevate conference. Her projection was that by 2028, gen AI enabled search platforms will become the primary user interface for shopping and product discovery. She called this a profound shift in corporate marketing strategy. IDC also projected that traditional search volume could drop by 25% by 2026 as buyers turn to AI-powered tools.

Andy suggested these numbers might be conservative, given how quickly personal adoption of AI tools has spread among professionals.

What works in a GEO world

The hosts outlined several principles that appear to matter for GEO. Semantic relevance, meaning the topical depth and context of content, matters more than keyword density. IDC uses the framework EAT, standing for Expertise, Authoritativeness, and Trustworthiness, to describe what answer engines value.

Content that is structured and scannable, with clear facts like price, availability, and specifications, is more useful to AI systems than emotionally-driven marketing copy. Third-party validation, such as backlinks from authoritative sources, continues to matter because it signals credibility.

The content explosion and its limits

Andy predicted that companies will respond by producing large volumes of AI-generated content, hoping to be cited by answer engines. He compared this to the keyword stuffing tactics of early SEO and suggested it will become a similar arms race. However, he also expected answer engines to get better at identifying and deprioritizing low-quality content.

The hosts agreed that authoritative third-party content, such as research from recognized analysts or coverage from established publications, is likely to retain value because it carries more credibility than self-promotional material.

Authentication and product liability

Brian shared a quote from Jason Hein raising a concern specific to B2B: the chain of custody for product information. If AI hallucinates or misrepresents product specifications, the consequences in B2B can be serious, potentially affecting safety, compliance, and liability.

In B2B the consequences can be pretty dire, and so there is probably going to be an industry that is going to arise around validating whether things are real or not.

Andy Hoar, Master B2B

Andy noted that this is part of a broader societal challenge around distinguishing authentic content from AI-generated material, but the stakes are higher in B2B where incorrect information can lead to equipment failure or safety issues.

Practitioners expect rapid change

The hosts shared results from a LinkedIn poll asking when GEO would become more important than traditional SEO. Of those who responded, 76% said within one year, 21% said three years, and only 3% said five years. Nobody said never.

Andy attributed the speed of this shift to personal adoption. Unlike some enterprise technology trends that take years to filter down, most white-collar professionals are already using AI tools daily and seeing the change in their own behavior. That firsthand experience is accelerating expectations about how quickly the market will shift.

Frequently asked questions

What is generative engine optimization (GEO)?

Generative engine optimization, or GEO, refers to the practices marketers use to increase the likelihood that their content appears in AI-generated answers from tools like ChatGPT, Google Gemini, or other answer engines. Unlike traditional SEO, which focuses on ranking in a list of links, GEO focuses on being cited or included when an AI synthesizes a direct response to a user query.

Why is traditional search traffic declining?

AI answer engines now provide direct responses to queries rather than a list of links. When users receive the answer they need without clicking through to a website, referral traffic drops. Reporting from Vox described reductions of 15% to 64% in organic traffic depending on industry and query type, with Google itself showing AI-generated summaries at the top of search results.

How should B2B marketers adapt to the shift from SEO to GEO?

Marketers should focus on creating authoritative, factual content that can be parsed by AI systems rather than content designed primarily for human emotional appeal. Structured, scannable information with clear product details, pricing, and specifications is more likely to be surfaced by answer engines. Third-party validation and backlinks from trusted sources remain valuable because they signal expertise and trustworthiness.

What is EAT and why does it matter for GEO?

EAT stands for Expertise, Authoritativeness, and Trustworthiness. IDC and others use this framework to describe what makes content more likely to be cited by AI answer engines. Content from recognized authorities, backed by verifiable sources and third-party validation, tends to perform better than self-promotional material. This was already important for SEO but becomes even more critical when AI systems decide which sources to cite.

Will companies be able to game GEO the way they gamed SEO?

The hosts expect an arms race where companies attempt to flood the web with AI-generated content in hopes of appearing in answer engine results, similar to the keyword stuffing tactics of early SEO. However, they also expect answer engines to develop ways to detect and deprioritize low-quality or obviously machine-generated filler. Authoritative third-party content is likely to remain more valuable than high volumes of self-published material.

How do you measure success in GEO?

Traditional click-based metrics become less useful when users get answers without visiting a website. Instead, marketers need to track whether their brand or products are being mentioned in AI-generated responses. New tools and approaches are emerging to measure answer engine visibility, though the methods are still being developed and standardized.

Sources & methodology

  1. Vox, on AI-generated summaries causing publisher traffic declines, June 2025
  2. IDC, Heather Hershey on gen AI search becoming primary UI for product discovery by 2028
  3. Commerce Tools Elevate conference, June 2025
  4. Jason Hein, on content authentication and product liability in B2B
  5. Friday 15 Podcast, Master B2B
Andy Hoar Andy Hoar
Co-Founder, Master B2B

Andy is a Co-Founder of Master B2B, founder of Paradigm B2B and author of the book Bot2Bot: The New Future of B2B Commerce. Andy is one of the leading global authorities on B2B commerce strategy.

Brian Beck Brian Beck
Co-Founder, Master B2B

Brian is a co-founder of Master B2B, Managing Partner of Amazon agency Enceiba, and author of the book "Billion Dollar B2B Ecommerce." Brian has also been C-level digital commerce executive with two decades of experience.

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