SEO Is Shifting. AEO Is Next: A Non-Technical Guide for Marketing Teams

SEO isn’t dead — it’s evolving. Learn how non-technical marketing teams can pivot from SEO to AEO, protect brand visibility in AI search, and plan a low-risk roadmap.

Last Updated: January 8, 2026

By: Jiaxin
In this article

At a Glance

  • SEO isn’t going away — but AI search and answer engines now decide whether your brand is seen and cited, not just how you rank.
  • Answer Engine Optimization (AEO) layers on top of SEO, focusing on how LLMs interpret your site, choose your content, and retell your story in AI summaries and chat interfaces.
  • For most marketing teams, the right move is a staged shift: clarify the strategy, restructure priority content around questions, and start measuring AI-driven visibility alongside traditional SEO.

Why SEO Suddenly Feels Less Reliable in 2026

If your dashboards show softer organic traffic and more “direct” or “other” conversions, you’re not alone. AI summaries and chat-style results are answering questions directly on the SERP, meaning users often get what they need without ever clicking through.

Webflow’s AEO research shows SEO traffic is down 15–25% across industries, while AI surfaces become a meaningful discovery channel. At the same time, 52% of marketing leaders say they’ll be optimizing for AI-driven search by 2026.  For growth-stage SaaS and content-heavy firms, that creates a familiar tension: traffic is under pressure, but leadership still expects pipeline, credibility, and control over the narrative.

The real question behind “Do we need AEO?” is this: How do we make sure AI tools describe us accurately, show us alongside the right alternatives, and keep us in the consideration set — even when clicks drop?

What Actually Changes With AEO (and What Stays the Same)

AEO can sound like a new religion. In reality, it’s a strategic evolution of SEO around three shifts that non-technical teams can understand.

  • From ranking for keywords to answering real questions. Traditional SEO focused on “B2B CRM software” or “HR compliance checklist.” AEO, guided by frameworks like Webflow’s AEO Maturity Model, pushes you to map and answer the actual questions your buyers ask across the journey — in clear, structured formats that LLMs can easily lift.
  • From traffic-only to representation and authority. Ahrefs’ AEO and LLM citation research shows that being the cited source inside AI answers can build authority even when traffic is zero-click. Webflow’s own AEO work echoes this: AI search traffic is still a small share, but those visitors convert significantly better because they’ve already “pre-sold” themselves through AI research.
  • From unstructured blogs to machine-readable experiences. Answer engines favor content that is scannable, structured, and technically clean — clear headings, FAQ blocks, schema, llms.txt, and fast performance. Webflow bakes much of this into the platform, reducing your dependency on plugins and custom dev just to be legible to AI systems.

None of this replaces SEO fundamentals. It reorders the priorities: high-quality, structured answers; brand authority; and AI visibility become the lens through which you design your content and site.

How We Help Marketing Teams Respond Without Burning Everything Down

From our vantage point at Underscore, the teams that win don’t “flip to AEO” overnight — they reframe strategy, not just tactics.

  • Start by agreeing on language and scope. Internally, define SEO as “how we get discovered” and AEO as “how AI retells our story.” Use that framing to align marketing, product, and leadership on why you’re restructuring content and adjusting KPIs, instead of spinning up an isolated “AI project” on the side.
  • Restructure a small set of high-impact journeys for answers. Take 5–10 core journeys (e.g., “compare vendors,” “implementation risk,” “pricing & ROI”) and turn them into answer-first assets: question-led headings, concise summaries at the top, followed by depth, FAQs, and schema where appropriate. Webflow’s AEO content and Ahrefs’ citation research both show that direct, structured answers are exactly what AI systems look for.
  • Add AI visibility to your measurement stack. Keep tracking rankings, organic sessions, and conversions — but layer in AI-specific metrics like AI search traffic, LLM citations, and share of voice in AI answers using tools such as Ahrefs’ Brand Radar and Web Analytics. This turns AEO from hype into a measurable, board-ready workstream.

Our role in these projects is simple: reduce risk. We help you pick the few levers that matter, design content and Webflow structures that serve both humans and AI, and prove progress in language your CFO understands.

Bringing It Back to Your Roadmap

SEO is not being replaced; it’s being rerouted through AI. The brands that stay visible are those that treat AEO as a natural extension of their content and experience strategy, not a shiny side quest.

If you’re on WordPress and considering a move to Webflow, or already on Webflow and under pressure to “do something about AI search,” the next step isn’t a rebuild — it’s a conversation. A short Blueprint Strategy Session can map your current content, identify answer-critical journeys, and outline a pragmatic AEO roadmap tailored to your team and constraints.

You don’t need to become an AI engineer. You do need to decide how you want AI to tell your story.

the author
Jiaxin
Jiaxin is an SEO Specialist at Underscore. She brings a strong mix of technical know-how and creative strategy to the team. Over her career, Jiaxin has worked across both technical and content SEO, helping clients in the e-commerce, finance, and SaaS industries achieve measurable growth in organic visibility.‍

Frequently Asked Questions

What’s the difference between SEO and AEO in plain English?

SEO is about helping search engines rank your pages so people click through to your site. AEO is about helping AI systems understand and cite your content accurately inside answers, summaries, and chat-style results. You still need SEO fundamentals — AEO simply adds a new layer focused on representation and authority in AI experiences.

Do we need to throw out our current SEO strategy to “do AEO”?

No. Most of your SEO work still matters — especially technical hygiene, internal linking, and high-quality content. What changes is the emphasis: you’ll prioritize answer-first formats, clearer structure, and authority-building so your content is more likely to be selected and cited by AI, not just ranked in blue links.

Is AEO very technical? Will my team need engineers or data scientists?

There are technical pieces (schema, llms.txt, performance), but platforms like Webflow now ship with many AEO-friendly foundations built in. For most marketing teams, the heaviest lift is strategic and editorial: mapping key questions, restructuring content, and tightening brand narratives. Engineering effort is often incremental rather than net-new.

How do we actually measure AEO performance?

You still track rankings, organic traffic, and conversions — but you also start monitoring AI search traffic, where your brand is cited in AI answers, and your AI share of voice versus competitors. Tools like Ahrefs’ Brand Radar and Web Analytics already break out AI search as a separate channel so you can connect citations to pipeline.

Where should a marketing team start if budget and time are tight?

Begin with a narrow slice of your funnel: pick a core use case or product line, audit 5–10 key pages, and restructure them around questions, concise answers, and supporting detail. Add FAQs, tighten messaging, and ensure the technical basics are solid. This gives you a controlled pilot to learn from before you scale AEO practices across your entire site.

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