Found in AI
Found in AI

AI Search Is Exposing Lazy SEO: What still works (and what no longer does) in AI search

30 December 2025 31:53 Cassie Clark

Listen to episode

About this episode

Send us a text

📬 Do you like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe

In today’s episode of Found in AI, I sit down with Pat Reinhardt of Conductor to unpack why AI search isn’t just changing SEO — it’s revealing which strategies were never built to last in the first place.

We talk about why “ranking in ChatGPT” isn’t a real concept, how AI search actually evaluates trust and authority, and what marketers need to rethink as visibility shifts from keywords to share of voice.

We cover:

  • Why AI search isn’t SEO in disguise — and where the fundamentals truly diverge
  • Why share of voice matters more than rankings in LLM-driven search
  • How brand mentions, citations, and sentiment influence AI visibility
  • Why gaming the system works less — and reputation works more
  • How marketers should think about ChatGPT, Gemini, and other models without chasing every engine
  • What signals actually help brands earn trust inside AI-generated answers

If you’re questioning old SEO playbooks, seeing traffic patterns change, or trying to plan a durable strategy for 2026, this episode will help you separate what still works from what AI is actively devaluing.

📌 Mentioned in this episode:

  • AI share of voice vs. traditional rankings
  • Brand authority, citations, and sentiment in AI search
  • ChatGPT, Gemini, and Perplexity — and where volume really lives
  • Why reputation beats manipulation in LLM visibility
  • Preparing your content strategy for AI-driven search behavior

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing, Conductor

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Found in AI. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.