Limited Supply: "The Truth Behind SEO in the Age of AI"
Host: Nik Sharma
Guest: Dylan Ander (Founder & CEO, Heatmap.com)
Date: February 4, 2026

Episode Overview

In this episode of Limited Supply, host Nik Sharma dives into the evolving landscape of SEO—specifically, how AI-powered search and large language models (LLMs) are changing how brands surface online. Joined by Dylan Ander, a returning guest and the founder of Heatmap.com, the conversation covers tactical and strategic ways direct-to-consumer (DTC) brands can optimize for AI-driven search engines (termed GEO/AEO/AI SEO). Listeners can expect actionable tips, uncommon hacks, and deep insights about the intersection of traditional SEO, digital PR, and the new frontier of generative AI search.

Key Discussion Points & Insights

1. The Changing Landscape of SEO and Brand Reputation

• SEO is Underfunded & Overlooked

  • Many brands allocate 30–40% of budgets to marketing but rarely dedicate a line item to SEO or brand reputation. (03:05)
  • Nik notes a parallel decline in proactive SEO efforts and the "coolness" or cultural cachet of brands (03:07).

• The Expanded Scope of SEO: From Onsite to Offsite

  • Dylan argues that "search everywhere optimization" is the new standard. (05:18–07:18)
  • SEO now encompasses not just onsite and technical work, but also extensive offsite content placement and reputation-building across high-authority domains.

    "What you're doing off the website is what I'm finding to be the 80/20 nowadays." (06:57, Dylan)

• High-Authority Domains (DR) Matter

  • Getting content onto platforms with high Domain Ratings (e.g., X/Twitter, LinkedIn, Quora, Medium) and interlinking increases brand digital real estate. (07:21–08:34)

    "If you write a blog post for your website... it needs to go on blogger.com, LinkedIn, Twitter, Medium... Interlink all those together. They all go back to your website." (07:21, Dylan)

2. Tactical Advice for Modern SEO

• Content Repurposing & Interlinking

  • Repurpose every significant blog/article onto multiple platforms; interlink for SEO signals.
  • It's "content repurposing, but just for text only." (07:21, Dylan)

• Semantic Mentions vs. Classic Backlinks

  • AI and search increasingly pick up on brand mentions even if they’re not hyperlinked.

    "Now it's called semantic mentions... [If a brand] is just on the page whatsoever, it works. AI picks it up, Google picks it up." (10:20, Dylan)

• Programmatic SEO

  • Use templates and AI to generate many variations of landing pages targeting specific long-tail niches.

    "Joint relief for runners, moms, dads, men over 40... You can take that template, change it up a little bit." (13:33, Dylan)

  • Example: Ramp’s “credit cards for plumbers/electricians/marketers” approach.

• Parasite SEO

  • Leverage the domain authority of platforms like Reddit or LinkedIn to rank for specific keywords.

    "You can literally start ranking for a keyword within 10 minutes on Reddit... it'll be showing up on Google in the first result within 20 minutes." (14:34, Dylan)

• Shopify Hack: Duplicated Collection Pages

  • Clone core collection pages with targeted, unique H1s/URLs and relevant content at the bottom.

    "I currently am working with someone who has about 300 collections pages and they only need about four... and it's working. It's showing up in these rankings." (29:37–29:53, Dylan)

3. Optimizing for LLMs/Generative Engine Optimization (Geo/AEO/AI SEO)

• GEO Definition & Mechanics

  • "Geo" (Generative Engine Optimization) or AEO (Answer Engine Optimization): optimizing for recommendations in LLMs (ChatGPT, Gemini, Claude, etc.) (17:25)

    "The art of getting your brand recommended on LLMs over other brands and your competitors." (17:25, Dylan)

• Key Tactics

  • Ranking in the top 10 of Google is still crucial—most LLMs heavily reference Google search results (18:20).

  • LLMs gather data from static time-capsuled sources (training data) and live web searches.

    "If chat does not do any live search... what was ranking number one like about a year ago is actually what's going to be coming up." (20:08, Dylan)

  • For lasting impact, appear in content that can be "frozen" into LLM training datasets—think Wikipedia pages, Reddit threads, .gov or .edu domain citations.

    "Wikipedia is one of the biggest sources for chat... Reddit, you'll start instantly coming up in Gemini and chat... for Claude, if you have .gov or .edu links... you'll go straight to the top." (22:20, Dylan)

• Content Clusters and Omnipresence

  • Aim to saturate as many top 10 SERP slots as possible—for example, having your blog, Medium article, Reddit post, and Quora answer all ranking for a term.

    "You can actually dominate a lot of the SERP... three of those top four is your content talking about your brand. So... the LLM doesn't care who it's pulling from." (24:37, Dylan)

4. Measurement and Tools

• Tracking Geo Performance

  • Traditional SEO tools (Ahrefs, Semrush) don’t fully capture LLM results due to lack of query/keyword data.
  • Dylan offers a free N8N workflow: pings multiple LLMs with relevant prompts, returning mention/citation rates in a spreadsheet (request: dylan@dylanander.com). (34:05)

    "It pings Claude with 25 of those questions. It pings grok, it pings chat... tells you if you were mentioned or not and puts it into a spreadsheet." (34:06, Dylan)

• Three Key Metrics

  • Share of Voice: % of total results mentioning your brand.
  • Mention Rate: Frequency of brand mention (link or not).
  • Citation Rate: Frequency a link to your site appears in responses.

    "That's the three metrics that you use to... see what we have right now." (36:55, Dylan)

• Attribution Challenges

  • Direct attribution from LLMs is limited—most LLM traffic shows up as “direct” in analytics.

    "If you see your direct traffic climbing, probably means, you know, things are going well in the LLM world." (36:55, Dylan)

Notable Quotes & Memorable Moments

• "Whoever said like SEO is dead. I always say bless their soul, they're amazing. Thank you so much to whoever said that." — Dylan, 05:20
• "It's every bit of digital real estate that you can cover. Do it." — Dylan, 10:00
• "AI and LLMs... they just want the best information and that's how each of them look different." — Dylan, 22:20
• "Cover as much of the real estate on Google as you humanly can and then you'll get into the LLMs." — Dylan, 24:37
• "The principles are the same. You need to emotionally appeal to someone from an ad to a website to get them to purchase... These LLMs are not humans. They only have raw data to go off of." — Dylan, 37:58

Timestamps for Key Segments

• 00:56 — Introducing Dylan Ander and the episode focus: The evolution of SEO in the age of AI.
• 03:05 — Why SEO/brand reputation is under-prioritized in DTC marketing.
• 05:18–07:18 — Dylan’s background in SEO; the shift from classic SEO to "search everywhere optimization".
• 07:21 — Explaining the power of posting on high-DR platforms and content interlinking.
• 10:20 — Semantic mentions and their role in modern SEO/LLMs.
• 13:33 — Programmatic SEO: scaling content creation for the long tail.
• 14:34 — Parasite SEO: leveraging Reddit and similar platforms for instant search visibility.
• 17:25 — Definitions: GEO, AEO, AI SEO; differences between them.
• 20:08 — LLM training data cycles and how current rankings affect AI answers.
• 22:20 — Which sources matter for LLMs (Reddit, Wikipedia, .gov/.edu).
• 24:37 — The importance of owning multiple spots in SERP/LLM referencing.
• 29:37–29:53 — Shopify collections page hack for E-commerce brands.
• 34:05 — Tracking LLM mentions: Free workflow and metrics explained.
• 37:58 — Will these tactics keep working? Principles vs. changing tactics.
• 39:32 — How to reach Dylan for tools, advice, or consulting.

Summary of Actionable Takeaways

• Repurpose every significant content piece across as many high-authority platforms as possible; always link back and interlink.
• Prioritize semantic mentions (brand appearances even without links) and not just classic backlinks.
• Consider programmatic and parasite SEO, but avoid going overboard to dodge Google's penalties.
• Get your brand referenced in Reddit threads, Wikipedia pages, and, if possible, .gov/.edu links—especially to influence LLMs.
• Measure your brand’s GeO success with custom tools and focus on share of voice, mention rate, and citation rate across LLMs.
• Recognize that attribution is messy—treat LLM visibility as top-of-funnel awareness.
• For direct access to Dylan’s tools or consulting, contact him at dylan@dylanander.com or @dylanander on all socials.

This episode offers a tactical, no-BS crash course for brands wanting to leap from classic SEO to true, AI-aware digital omnipresence in 2026.