The way business buyers find and evaluate solutions has changed more in the last two years than in the previous two decades. The arrival of AI-powered search hasn’t just added a new channel. It has reorganized where discovery happens, who shapes the shortlist, and whether a brand even gets a chance to be seen.
During a recent IDC expert panel, Addressing the Pipeline Conversion Gap, analysts examined the shift from traditional ranked search to AI-facilitated discovery and beyond.
“You’ve spent years perfecting your Google rank. Your buyers just stopped using Google.” — Roger Beharry Lall, Research Director, Advertising Technologies and SMB Marketing Applications at IDC.
To capitalize on this new mode of discovery and capture the market before competitors, CMOs, digital marketing leaders, demand gen managers, and B2B marketers must pivot from search engine optimization (SEO) to a new discipline: answer engine optimization (AEO).
AEO is not SEO with a new name
AEO and SEO operate on fundamentally different logics. The SEO pipeline was built on a clear sequence: optimize pages for keywords, earn backlinks to build domain authority, and win placement in a ranked list on Google or Bing. The buyer clicks your link. From that point forward, you control the experience.
AEO, also called generative engine optimization (GEO), operates entirely differently. Large language model (LLM) chatbots like Gemini or ChatGPT synthesize an answer before the buyer even sees the options. Brands that get cited in AI-generated responses aren’t necessarily those with the best keyword density. They’re the ones with a deep, authoritative, and interconnected content infrastructure.
In SEO, keywords signal relevance. In AEO, context and content depth establish authority. An LLM evaluating whether to cite your brand isn’t scanning meta titles. It’s assessing whether your information ecosystem is comprehensive enough to trust.
Treating AEO as an extension of existing SEO practice is the most common and most costly mistake marketers are currently making.
Most organizations aren’t ready for the shift
According to IDC Research Director Roger Beharry Lall, only 35% of organizations have enterprise-wide content capabilities. That means nearly two-thirds of B2B brands are structurally unprepared to succeed in the AEO environment.
Enterprise-wide content capability means more than a well-maintained website. It means product information management (PIM) systems that are integrated and externally surfaceable. Engines must be able to parse your digital asset management (DAM) libraries. Knowledge bases and technical documentation need to be connected to public-facing repositories.
Most marketing teams have optimized their digital presence for ranked search engine performance. AEO requires something more: deep connection layers into your full data stack, exposed to the platforms buyers are now using to form their views. That demands cross-functional reach that most demand gen teams haven’t had to develop before.
And that’s only the half you can control.
Reputation is the new discoverability asset
The “dark funnel” describes the portion of B2B buyer discovery that happens inside AI systems, beyond a brand’s direct control. In the traditional B2B discovery model, channels like communities, social, PR, ratings and reviews, and advertising reached buyers directly. In the emerging model, those same signals flow through AI first. The buyer receives a synthesized view of your brand, one that draws on everything the internet says, not just what lives on your domain.
Buyers asking an LLM about your company aren’t just getting your FAQs and product specs. They’re getting a response built from analyst citations, peer review websites, press coverage, forum discussions, and social media. All of it beyond your control.
For CMOs, the implication is significant. Reputation management, earned media, analyst relations, and community presence are no longer solely the domain of PR. They are the foundations for AEO.
The window for early movers is real
Most organizations haven’t begun to address AEO, which is precisely what makes this moment significant. The brands investing in it now are doing so before the field gets too crowded. That won’t be true for long.
In IDC’s conversations with CMOs this year, the organizations moving on AEO now share one trait: they’re planning 12-month content infrastructure investments, not 90-day campaigns. AEO isn’t a campaign. It rewards consistent, long-term investment in how a brand shows up across the information environments buyers use, not just the ones you control.
One area to watch closely: in-LLM advertising. The field is still in its early stages, but all the major platforms are working out how to monetize their models. When they do, the data a user prompt carries, who the buyer is, what problem they’re solving, how urgently they need it. That data will give advertisers a level of unprecedented targeting precision, at exactly the moment a purchasing decision is beginning to form.
When advertising models mature, they have the potential to shift meaningful control back to the CMOs and marketing leaders who are positioned to capitalize on it.
Fixing the funnel for the age of AEO
The pipeline conversion problem doesn’t start at the qualification stage. It begins the moment a buyer asks an AI chatbot which vendors to consider and your brand doesn’t appear in the answer. Fixing the bottom of the funnel matters. But the organizations that will succeed in the AEO era are those shining a light on the dark funnel and investing in discoverability at the top.
IDC’s latest expert panel explores how AI is reshaping buyer behavior across discovery, evaluation, and purchase, and what marketing and revenue leaders must change to remain competitive.
Watch the on-demand webinar: Addressing the Pipeline Conversion Gap — What CMOs and CROs must do to turn marketing demand into measurable revenue.
Interested in exploring more of Roger Beharry Lall’s research on AI-era demand generation? Contact IDC today.
