Matt Bowers, former Head of SEO at Zapier and Zillow, shares his insights on the dynamic intersection of programmatic SEO and AI. He reveals what works for large-scale AI content strategies and discusses the concept of 'information gain' as a future ranking signal. Highlights include the importance of user experience, the role of AI in indexing to combat duplicate content, and a deep dive into successful AI programmatic sites like Greg.app. Bowers emphasizes the balance between AI and human input in SEO for long-tail visibility and personalization.
51:09
forum Ask episode
web_stories AI Snips
view_agenda Chapters
auto_awesome Transcript
info_circle Episode notes
question_answer ANECDOTE
Million-Visit Pure-AI Programmatic Play
Matt describes a client that built a pure-AI programmatic site driving over a million visits per month.
The site published tens of thousands of use-case pages with ~1,000+ words each, often generated with older GPT-3 outputs.
volunteer_activism ADVICE
Prefer Use-Case Pages Over AI Blogs
Avoid blog-style long-form pages as an all-AI strategy; they rarely perform well without heavy human handholding.
Favor programmatic pages focused on concrete use cases and task completion instead of generic informational posts.
insights INSIGHT
Dwell Time Amplifies AI Copy
Dwell time matters: pages with tools or product experiences get strong engagement and AI copy amplifies that.
Adding substantive copy reduces duplicate-content risk and helps indexing for large programmatic sets.
Get the Snipd Podcast app to discover more snips from this episode
Matt Bowers — SEO and LLM consultant, formerly of Zapier and Zillow — joins Ross Hudgens for a deep dive into how AI is transforming programmatic SEO.
They explore what’s working and what’s not for large-scale, AI-assisted content strategies — from full-AI “use-case” pages to hybrid human workflows. Matt breaks down examples of successful AI programmatic sites, the pitfalls of duplicate content, and the emerging “information gain” paradigm shaping rankings post-2024.
They also discuss the limits of AI in UX-driven verticals, personalization opportunities, long-tail visibility in LLMs like ChatGPT, and how data-driven scaling can still give human SEOs a competitive edge.
Plus: the rise and fall of Greg.app, the future of personalization, Zillow’s “Project Boggle,” and practical tools like Builder.io, Strapi, and AirOps that power modern programmatic builds.
Show Notes
0:08 – Matt returns for round two: programmatic SEO meets AI
1:00 – Are “pure AI” sites actually winning? What’s working and what’s not
2:06 – Inside a million-visit-per-month AI programmatic play
3:15 – Structuring AI content around real use cases, not blog posts
4:22 – Why old GPT-3.5 copy can still rank — and the “don’t mess with success” mantra
5:03 – Dwell time as a differentiator: the “product as content” advantage
6:13 – How AI copy helps with indexing and duplicate-content differentiation
7:17 – Why Google probably isn’t detecting AI directly and what it does instead
8:11 – The “high-DR arbitrage” era of AI content — and why it’s fading
10:11 – Why most public AI case studies stay anonymous
11:16 – Case study: Greg.app — AI-generated plant care pages done right
12:03 – How prompt engineering + UX elevate AI content
13:13 – Prompting each paragraph individually vs. one giant prompt
15:21 – Two winning models: product-driven and UX-driven AI programmatic
16:15 – Why blog-style AI content still struggles and the “pizza” metaphor
20:05 – Greg.app’s traffic drop: lessons from a 75% decline
22:21 – AI’s scalability advantage — and its ROI trade-offs
25:24 – Zillow’s data advantage: proprietary enrichment and GIS precision
26:16 – When AI enables pages that “shouldn’t exist” by human economics
27:21 – Scaling what can’t be scaled: the real AI unlock
28:16 – Competing in local long-tail SERPs with AI vs. humans
28:31 – Traits of losing players: low information gain, weak differentiation
29:20 – Why “information gain” may be the new ranking factor
30:06 – Proprietary data as the ultimate SEO differentiator
31:00 – How real estate UX converged — and why speed and personalization win
33:00 – When non-AI programmatic still wins: data-only, high-usability pages
35:07 – Where AI doesn’t belong: when usability is more important than copy
35:37 – Personalization and the future of AI-driven recommendations
37:07 – The Perplexity vision: a world run by AI agents and voice search
39:06 – What AI agents mean for SEO and monetization
40:38 – Long-tail demand from LLMs and how Zapier used programmatic pages
42:29 – How LLMs discover your use cases and why it matters
43:20 – Using internal data to fuel new programmatic ideas Project Boggle
46:09 – Generating new landing pages from user search inputs
47:52 – Internal search data as a goldmine for programmatic expansion
48:30 – Tools of the trade: AirOps, Builder.io, Strapi, and hybrid stacks
49:43 – Why programmatic SEO still needs human PMs and engineers
50:08 – Where to find Matt online
Show Links
Matt Bowers on LinkedIn: https://www.linkedin.com/in/mpbow/
Matt’s Website: https://mattb.rs/
Greg.app AI plant care example: https://greg.app/plant-care/monstera
Strapi CMS: https://strapi.io/
AirOps: https://www.airops.com/
Builder.io: https://www.builder.io/ Subscribe today for weekly tips: https://bit.ly/3dBM61f Listen on
iTunes:
https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174
Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM
Listen on Google:
https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9jT3NjUkdLeA
Follow Siege on Twitter: http://twitter.com/siegemedia Follow Ross on
Twitter: http://twitter.com/rosshudgens Directed by Cara Brown:
https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo |
#contentmarketing
Content and Conversation: Organic Growth Insights from Siege Media 