Understanding AI Search Visibility

Yesterday · 42 min · Season 1 · Episode 139 · 82.3 MB

0:00-42:52

Streams straight from the publisher. podnod never proxies or re-hosts episode audio.

How does your brand stay visible when search is shifting from rankings and clicks to mentions, citations, and AI-driven answers? And did you know that AI can't yet read the Javascript on your site?

In this episode of the DMI podcast, host Will Francis talks to Aimee Jurenka, founder of SEO Sustainable and AI visibility strategist, about how brands can adapt to discoverability in an AI-powered search world. They chat about the ongoing evolution from traditional SEO to AI visibility, why inbound content is changing, how mentions and PR are becoming more important, and what technical and brand foundations still matter most.

Aimee's top tips on AI search:

Make sure AI bots can crawl and understand your site.
Focus on brand-led, product-specific, and highly relevant content.
Build visibility through mentions, LinkedIn, and other places your audience already trusts.

Aimee mentions her detailed article on informational content for AI search on Site Bulb and gives credit to the work of Celeste Gonzalez on local SEO.

Timestamps:

02:10 - Understanding black hat and white hat SEO
04:24 - Loopholes in AI SEO and the wild west of tactics
07:06 - Differences between traditional SEO and AI search
08:38 - The shift in content creation for AI visibility
10:09 - Brand-focused content and new SEO strategies
12:40 - Agent-to-agent web and the future of the agentic web
16:39 - Changes in off-page SEO and mentions versus backlinks
18:09 - The importance of mentions and citations in AI search
19:22 - Training AI to recognize your brand
23:56 - Personalized search and the use of LLMs
24:52 - The shift in user research and purchase journey
25:34 - Impact on Google ads and revenue models
27:25 - Common misconceptions about AI visibility
39:21 - Top tips for marketers