AI Can Scale On-page SEO but Human Insights & Fundamentals Still Create Value (w/ Andrew Askins) episode artwork

EPISODE · Jan 12, 2026 · 1H 30M

AI Can Scale On-page SEO but Human Insights & Fundamentals Still Create Value (w/ Andrew Askins)

from The SEO Party - Search Engine Sessions with Link Building HQ · host Link Building HQ

AI is changing and expediting SEO, but not the fundamentals. In this episode of The SEO Party, Timmy and Naveed sit down with Andrew Askins, co-founder of MetaMonster, to explore how agencies can scale on-page work with AI without shipping AI slop. What’s inside: - AEO/GEO: how AI search really works vs. classic SEO and why you still have to win the index before you win the AI citation - Practical automations that don’t tank quality: titles, meta, schema, internal links, image alt text, and SERP/content gap analysis - Content clustering & topical authority: vector embeddings, cosine similarity, and building pillars that make both Google and AI agents make sense of your site - Query fan-out and user intent: expanding beyond keywords while staying strategic - Live tool walk-through: MetaMonster’s crawl → prompt templates → table/chat workflow (and UX feedback you can borrow for your own ops) - Human vs. machine: where AI accelerates SEO work… and where a human voice still matters - Fun detours: Disco Shrimp, the Enzoni cocktail, and a drive-by on Malört 🥴 Guest: Andrew Askins, Co-founder, MetaMonster → https://metamonster.ai Hosts: Timmy Walczak Naveed Chinoy You’ll learn how to: - Turn messy site data into clean, AI-ready inputs (markdown, embeddings) - Find & fix internal linking gaps that boost both rankings and AI citations - Plan clusters/silos that strengthen topical authority without content bloat - Keep quality control tight while automating the mind-numbing stuff If you’re juggling too many clients and drowning in on-page to-dos, this one’s for you.

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AI Can Scale On-page SEO but Human Insights & Fundamentals Still Create Value (w/ Andrew Askins)

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This episode is 1 hour and 30 minutes long.

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This episode was published on January 12, 2026.

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