AI search is changing how B2B buyers discover and compare vendors. Visibility depends on strong SEO fundamentals, clearer differentiation, and content governance that support faster evaluation and more consistent brand information.

Content marketing is at an inflection point. AI tools have made it faster and cheaper to produce content at scale, but the resulting flood of material creates challenges on marketers' highest-earning channels.

As AI transforms how consumers search, discover, and shop, brands are rethinking how they show up across LLMs and digital touchpoints. Justin Garvin of Rise, a Quad agency, joins EMARKETER’s Sky Canaves to discuss the shift from organic to paid AI opportunities, the importance of trust, and how to build a smarter, more connected strategy.

78% of SMBs worldwide say faster content creation is the leading benefit of using LLMs for digital marketing, according to an October 2025 survey from GoodFirms.

New data shows traditional SEO success no longer guarantees visibility inside generative AI answers. Ahrefs found that fewer than 9% of ChatGPT and Gemini citations come from URLs ranked in Google’s top 10 results—meaning more than 90% of high-ranking organic pages never appear in AI responses. Instead, LLMs lean heavily on community-driven sources like Reddit, YouTube, Wikipedia, Yelp, and TripAdvisor, dramatically reshaping early-stage discovery. With LLM usage exceeding one billion monthly users, brands that do not participate in open forums risk disappearing from AI-mediated journeys. Marketers must treat GEO as a distinct discipline, not an extension of SEO.

Marketing professionals see AI leading to several shifts in consumer behavior that will greatly impact the fundamentals of digital advertising in the next 2 to 3 years, per a Funnel and Ravn Research study of in-house marketers and agency professionals. As AI reshapes digital and search advertising, the brands that thrive will be those who seize the opportunities presented by AI-driven changes.

Generative AI tools increasingly rely on community-driven platforms—Reddit, YouTube, Wikipedia, Yelp, TripAdvisor, and more—as primary sources that feed directly into consumer-facing answers. Because AI does not distinguish between search content, social chatter, reviews, creator posts, or earned media, brand visibility now depends on cross-team coordination rather than siloed optimization. Upstream conversations matter: if forums, reviews, or public commentary lack clarity or depth, AI responses will mirror those gaps. And because users often begin with general queries—not shopping-specific ones—early influence happens long before product discovery. To stay visible, brands must unify search, social, PR, and content workflows.

Google is expanding its use of agentic AI across its advertising suite, announcing that Ads Advisor and Analytics Advisor—two new, Gemini-powered assistants—will roll out to all English-language Google Ads and Google Analytics accounts in early December. Per Google, the tools aim to make campaign management and data interpretation faster, simpler, and more conversational. AI copilots are becoming table stakes. With Google and Amazon both embedding agentic AI into their ecosystems, conversational interfaces will soon be the default way advertisers plan and manage campaigns.

Generative AI is transforming how consumers discover products and brands earn visibility. As usage of—and trust in—AI grows, brands must rethink how they optimize for discovery and measure success.

Now that consumers can make direct purchases within ChatGPT, marketers and retailers must reimagine the customer journey once again.

Content maintenance is no longer optional if brands want to stay visible in generative engines and chatbot answers. Over 70% of pages cited by ChatGPT were updated within the past 12 months, per AirOps’ The Silent Pipeline Killer report, making content renewal and refreshing a must for relevance in AI outputs. Brands that treat content as an ongoing performance lever, not just a one-time project, will earn sustained visibility and trust in generative AI (genAI) results. For CMOs, that means rethinking content strategy as a living ecosystem, where freshness is the new SEO.

A Yext analysis of 6.8 million citations across ChatGPT, Gemini, and Perplexity found that 86% of AI-generated answers rely on brand-managed content—from official websites and listings to reviews. First-party sites led with 44% of citations, followed by listings (42%) and reviews (8%). The findings suggest AI models increasingly trust structured, authoritative data over publisher or community sources. But fewer users click through—only 8% from AI summaries versus 15% from standard search—indicating that generative platforms are capturing more engagement directly. To stay discoverable, marketers must pair clean, structured first-party data with strong social visibility as AI search reshapes traffic flows.

AI is rapidly reshaping several aspects of marketing, ranging from campaign strategy to content creation. This report outlines how marketers are using and measuring AI tools, and the challenges they face with the technology.

This sponsored video by Contentful will explore the strategies driving success this holiday season.

As AI fundamentally changes how consumers find products and services, experts continue to explore what marketers must do to adapt. "The most surprising thing, the most pressing thing about AI adoption isn't just that people are starting to use it. It's that they're trusting it, it's that they're using it within their shopping journeys," said EMARKETER analyst Nate Elliott during last week's Future of Digital Summit.

A recent Pew Research Center study reveals a dramatic shift in online behavior: When users encounter AI-generated search overviews, they're almost half as likely to click through to websites and more likely to end their browsing sessions entirely. This fundamental change threatens the traditional internet business model where human traffic drives ad revenue.

Historically, search engines and social platforms acted as gateways, linking to other sites for consumers to continue reading, researching, or shopping. Now, those platforms are answering queries directly within their own ecosystems, resulting in a “zero-click search.”

The news: New data from Digital Content Next revealed that Google AI Overviews lead to as much as a 25% decrease in publisher referral traffic, reinforcing brands’ and publishers’ ongoing concerns over the tech’s adverse impact on content effectiveness. Our take: AI Overviews will continue usurping referral traffic from publishers, meaning that the brands who last will be those who adapt to the change rather than fight it. Brands must optimize for AI visibility, not just search rankings.

The news: Despite consumers’ rising use of AI agents for search, shopping, and discovery, brands are falling behind on generative engine optimization (GEO) strategies. 47% of brands have no deliberate GEO strategy or have no idea if they appear at all in AI agent responses, per a new report from Cordial. Another 47% have only just begun optimizing content for AI discovery. Our take: To boost visibility, brands should optimize for conversational context and create structured, machine-readable content that AI can index, like clear website FAQs, TL;DR summaries, and detailed product specs. Expanding presence across social platforms that feed AI training models, such as Reddit, Quora, and YouTube, can also improve chances of surfacing in AI-generated responses.