How to show up in AI answers (not just Google links)

Jun 20, 2025 · 33:38 · Webinar & Conference Session
Will Scott AI SEO Expert, Co-founder and CEO · Search Influence

Key takeaways

The three pillars of AI SEO are entities (aligned with Wikipedia/Wikidata/Google Knowledge Graph), semantic relevance (providing enough context to disambiguate meaning), and citations (trusted text references, not just hyperlinks).
Content for AI search must be structured as clear chunks: questions paired with answers, followed by contextual explanation—a format AI engines naturally understand and that Google rewards in AI overviews.
The pixel depth problem: a number-one organic ranking may appear 2,300 pixels down the page after AI overviews, ads, entity carousels, and people-also-ask sections, making traditional SERP position less valuable.
Video, audio, and repurposed content are not replacing text; search is becoming multimodal, so one source article can be transformed into podcasts, videos, and other formats using AI tools like Wave.video or Notebook LM.
If you can do SEO, you can do AI SEO—the fundamentals remain the same; adapt by thinking like a machine about how your content represents data and relates to known entities in the knowledge graph.

Chapters

Embracing change in the digital landscape
The evolution of AI in content creation
Understanding AI SEO: entities vs. keywords
The role of entities in AI search
Content optimization for AI search engines
Leveraging structured data and FAQs
Content formatting and semantic triples
Building AI-driven features for engagement
Longer queries and their impact on search
Questions and audience engagement

Q&A

What's the best way to prep content for AI search—more structured data, Q&A, or top 10s?

All three work. A quick cheat code is to take existing content and replace key takeaways with semantic phrases, add FAQs with schema markup, and rewrite headings as questions with answer-exposition format. This format will become standard for new content.Will Scott

Is everything pushing to video, especially since everyone consumes content from phones?

Not everything is video; search is becoming multimodal. Video creates natural language by default, and AI tools like Wave.video can repurpose long-form content into video, audio, and other formats with minimal human review, allowing one piece to reach multiple channels.Will Scott

Should we be considering building AI-driven features as part of SEO strategy, like chatbots trained on our content?

Yes. AI-driven features improve time-on-site and engagement (which Google's clickstream data counts for ranking), create better user experience leading to reviews and social mentions, and allow you to create new content in your voice and tone.Will Scott

How do longer queries play out for keywords in SEO and paid advertising?

With Google's Performance Max and AI in ads, keyword vs. query distinction is blurring; Google shows ads for longer, natural-language expressions regardless of the keyword bid. Ads in AI overviews (newly launched in beta) offer traffic recovery and valuable query data for conversion optimization.Will Scott

Quotes

The only constant is change. We've seen world ending stuff a few times over the last 30 years and thus far the world has not ended.Will Scott
If I can relate the content of my web pages to entities that are known in the knowledge graph, then I increase the likelihood that I'm going to be understood as relevant, specific, and direct.Will Scott
If you can do SEO, you can do AI SEO. If you understand the basics, you'll start seeing content differently.Will Scott
Terminator don't care. You got to give it the data it wants in clear authoritative statements.Will Scott
If you can do SEO, you can do AI SEO. If you understand the basics, you'll re you'll start seeing content differently. You'll start seeing links differently. You'll start thinking like a machine.Will Scott
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