8 AEO Lessons for B2B CMOs: How to Show Up in AI Search 

Generative AI has altered the playbook for digital discovery.

Buyers researching vendors will find AI-generated answers at the top of Google, and many are turning directly to AI assistants for recommendations. In many cases, those answers shape the shortlist before a buyer ever clicks a link.

That shift has pushed many marketing teams into a new discipline: Answer Engine Optimization (AEO).

To explore what’s actually working, Webflow Chief Evangelist Guy Yalif joined four recent CMO Huddles Strategy Labs, sharing patterns he’s seeing across Webflow’s own experiments and millions of customer websites.

Here are eight lessons CMOs are paying attention to.

Lesson #1: AI Search Traffic Converts Better

One of the most eye-opening data points Guy shared came from Webflow’s own analytics. They found that traffic from LLM tools converted a whopping 6x better than unbranded organic search.

Industry data suggests a similar pattern, with some studies showing 4x-23x higher conversion rates for AI-driven traffic compared to traditional search. Several CMOs in the room said they were seeing something similar, including not just higher conversion, but faster sales cycles.

The reason likely comes down to intent. AI users often ask specific evaluation questions about vendors or solutions, meaning they’re already deep into the buying process. In other words, AI discovery isn’t just another traffic channel. In many cases, it’s late-stage research.

Lesson #2: The New AEO Unit: The Question

For years, SEO strategies revolved around keywords. 

In AI search, the basic unit of discovery is the question. 

Guy noted that traditional search queries averaged around four words, while LLM prompts now often run 23–30 words long and continue to grow in length. So instead of optimizing for keyword clusters, many teams are now organizing content around question clusters.

The best sources for those questions often already exist inside the company:

• Sales calls/Gong transcripts
• Customer interviews
• Email conversations with prospects
• Support tickets
• Google’s “People Also Ask” results
• Prompts inside LLM tools

One Huddler shared that their team now reviews sales calls specifically to identify recurring prospect questions—then turns those questions directly into content topics.

Lesson #3: Adding Schema Is One of the Easiest Wins

For many teams, adding schema is one of the lowest-effort, highest-impact AEO improvements available today.

Schema is structured metadata that helps search engines and AI systems understand the meaning and structure of your content. It tells machines what a page represents—whether it’s a product page, article, FAQ, company description, or something else. This makes it much easier for LLMs to parse and reuse the information.

Despite its importance, adoption is still surprisingly low.

According to Guy, 73% of Google’s top 10 search results have schema, yet 88% of websites still don’t use it at all.

The good news is that schema is relatively easy to implement on most modern websites, especially for common formats like FAQ pages or articles. Many CMS platforms can now generate schema automatically, or developers can add it by tagging pages with standard schema types such as FAQ, product, or article.

Lesson #4: Small Structural Changes Have Big Impact

Beyond schema, many early AEO gains are coming from relatively simple content structure improvements. Guy shared an experiment from Webflow’s team where they added FAQ sections to six product pages. Within two weeks:

• Those pages generated 57% of Webflow’s incremental AI citations
• Traffic to those pages increased 24%

Considering Webflow’s site contains hundreds of thousands of pages, that result caught people’s attention. Several CMOs in the Lab reported experimenting with similar structural updates:

• FAQ sections
• Table of contents
• Clear headings
• Structured lists
• Glossaries
• Quick answer summaries 

These changes help AI systems quickly identify and extract the most relevant information on a page. As Guy put it, AEO currently offers “effort-to-reward bargains,” small changes can still produce outsized gains because the channel is so new.

Lesson #5: SEO Fundamentals Still Apply

One misconception circulating in the marketing world is that AI search will replace SEO. Guy pushed back on that idea.

If your team doesn’t have the basics of SEO in place, like clean metadata, working links, and crawlable pages, it’s hard for AI systems to understand your site at all. 

AI systems frequently rely on traditional search infrastructure when gathering information. And pages that already perform well in search often become the sources AI assistants reference. In fact, research shows that a significant share of AI citations still come from pages ranking in Google’s top results.

In other words, AEO builds on SEO. It doesn’t replace it.

Lesson #6: Digital PR Is Back

Another pattern Guy is that AI systems rarely rely on a single source. Instead, they look for consensus across multiple websites. 

When several trusted sources describe a company in similar ways, LLMs become more confident citing that company in answers. That dynamic is bringing renewed importance to activities that many CMOs already associate with brand building:

• Podcast appearances
• Guest articles
• Analyst mentions
• Industry publications
• Webinars
• Media coverage

In other words, digital PR strengthens the authority signals AI systems rely on when deciding what to cite.

Lesson #7: Content Freshness Matters

Another data point from the session caught people off guard: 95% of ChatGPT citations referenced content updated within the last 10 months.

That statistic is pushing many marketing teams to rethink how they manage their content libraries. Instead of focusing only on publishing new articles, many teams are prioritizing refreshing high-performing existing pages.

Typical refresh work includes:

• Updating statistics
• Improving structure and clarity
• Expanding sections that answer common questions
• Tightening messaging

In many cases, updating a strong existing page can have more impact than publishing a new one.

Lesson #8: AEO Measurement Is Still Evolving

Traditional SEO teams measured success through:

• Keyword rankings
• Organic traffic
• Backlinks

AEO introduces a different set of signals, making CMOs (and their CEOs) ask:

• Do we show up in AI answers?
• What’s our share of voice compared to competitors?
• Is the message accurate?
• Is the sentiment positive?

The tools for tracking this are still emerging. One example is Webflow’s free AEO assessment tool, which analyzes a company’s site across 4 core pillars: Content, Technical Structure, Authority, and Measurement.

For many teams, the first step is simply measuring: 

• Traffic coming from AI tools
• Conversion rates from those sources
• How often their brand appears in answers

The Bottom Line: Adjusting for AEO

The rise of AI assistants doesn’t mean marketing teams need to completely reinvent their strategy. But it does mean adapting content so AI systems can understand, interpret, and reuse it.

For most CMOs, the fundamentals remain familiar:

• Create valuable content
• Structure it clearly
• Build authority across the web

The difference now is that AI systems increasingly sit between buyers and brands. As Guy stressed during the discussion, the core job remains the same: Create original, valuable content for humans, and make it easy for LLMs to consume.

FAQs: AEO for B2B CMOs

Want more?

Listen to these Renegade Marketers Unite episodes:

• AEO in B2B: Earning Your Spot in AI Answers
• Intentional AI Adoption