Send us a text

📬 Love the podcast? You’ll love the newsletter.
 Get the weekly 3-2-1 on AI search + marketing: Subscribe

In today’s episode of Found in AI, I’m joined again by Kristina Frunze of WebView SEO to break down what SEO actually looks like now that AI engines are rewriting how people find information.

We dig into the tactics that still matter, the ones that don’t, and the new visibility signals every marketer needs to understand.

We cover:

• Why “write for humans, structure for machines” is the new SEO rule
• How Google is redefining spam — and what that means for your content
• When to prioritize structured data, citations, and brand mentions
• The Reddit rollercoaster and whether it still belongs in your strategy
• How to measure visibility in a zero-click search world
• What replaces rankings as the key metric heading into 2026

If you’re trying to keep your brand visible while SEO and AI blur together, this episode gives you a grounded, no-nonsense roadmap.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, SEO Strategy, Generative Search, AEO, GEO, AI Visibility, Structured Data, Content Strategy, Zero-Click Search, Google AI, Schema Markup, B2B Marketing, Search Trends, Digital Visibility

Find the transcript here.

Send us a text

📬 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’m bringing receipts.

My blog, cassieclarkmarketing.com, was cited in ChatGPT ahead of Semrush. (Yes, that Semrush.)

So in this episode, I’m breaking down exactly how it happened: what I tested, why it worked, and what it means for every marketer trying to figure out how to get their brand mentioned in AI search results.

We cover:

• How I structured my content to earn an AI citation (without a massive domain authority)
• Why clarity, context, and authenticity now matter more than backlinks
• The difference between SEO optimization and GEO (Generative Engine Optimization)
• How to format posts for both humans and algorithms — and why that balance wins
• Why smaller teams have a massive opportunity in the AI visibility race

If you’ve been wondering how to get your own brand cited in ChatGPT, Perplexity, or Google’s AI Overviews, this episode breaks down what’s actually working right now — based on real results.

📌 Mentioned in this episode:

• My blog post: Thought Leadership Examples — What Startups Get Wrong and How to Get It Right
• GEO (Generative Engine Optimization) experiments and frameworks
• Tools like Jetpack, Quoted, and LinkedIn for sourcing expert commentary
• AI visibility metrics and how to track citations

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Citations, ChatGPT Mentions, Generative Engine Optimization, GEO, AI Search, Answer Engine Optimization, AEO, AI Visibility, Content Strategy, AI Content Marketing, AI Search Optimization, ChatGPT SEO, Perplexity Search, Schema Markup, Topical Authority, AI-Driven Content, B2B Marketing, Digital Visibility, SEO vs AEO, AI Overviews, Generative Search

Find the transcript here. 

Send us a text

📬 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 Lindsay Boyajian-Hagan, VP of Marketing at Conductor, to unpack how AI search is redefining visibility — and what brands need to know about optimizing for AEO (Answer Engine Optimization) instead of traditional SEO.

We cover:

• What AEO actually is — and how it differs from SEO in the era of AI-generated answers
• Why content depth, topical authority, and schema markup now determine who gets cited in ChatGPT, Perplexity, and Google’s AI Overviews
• How to map personas as prompts, not slide decks, to create content AI can understand and surface
• The role of structure, author schema, and data-driven content in improving AI visibility
• Practical steps to audit, prune, and rebuild your content strategy for AI search

If you’ve been noticing traffic drop-offs or wondering how to keep your brand visible when algorithms stop playing by the old SEO rules, this episode will help you recalibrate your strategy for the next era of search.

📌 Mentioned in this episode:

• Conductor’s approach to AEO and topical authority
• Schema, author markup, and structured data best practices
• AI search engines like ChatGPT, Perplexity, and Google Gemini
• Building audience-driven content systems that scale

💬 Let’s connect:

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

Keywords: AEO, Answer Engine Optimization, AI Search, Topical Authority, Schema, SEO, Conductor, AI-Driven Marketing, Generative Engine Optimization, GEO, Content Strategy, B2B Marketing

Find the transcript and show notes here.

Send us a text

📬 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 Josh Spilker, Head of Content and SEO at AirOps, to unpack how the rise of the content engineer is reshaping the way marketing teams build, scale, and optimize content in the age of AI search.

We cover:

• What the content engineer role actually is — and why it’s becoming essential inside modern content teams
• How AI workflows are changing the way we handle linking, updates, and large-scale content operations
• Why freshness, structure, and systemized updates now drive visibility in AI engines like ChatGPT and Perplexity
• The skills and tech stack today’s content engineers need — from no-code tools to prompt-based automation
• How content leaders can start treating content like a product to future-proof their teams and stay visible in LLM search

If you’ve been wondering how to future-proof your content strategy — and what new skills will separate tomorrow’s marketers from the ones left behind — this episode is for you.

📌 Mentioned in this episode:

• Content engineering frameworks
• AI workflows for linking and content freshness
• AirOps and AirOps University
• ChatGPT, Perplexity, and Google AI Mode
• Systems thinking in content operations

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com
Newsletter → Get the insights

Keywords: Content Engineer, AI Search, AI Workflows, SEO, Content Operations, AirOps, Generative Engine Optimization, GEO, AEO, AI-Driven Marketing, Content Strategy, B2B Marketing

Send us a text

📬 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 Charlie Graham, founder and CEO of RivalSee, to unpack how AI visibility optimization — or AIVO — is reshaping the way brands show up inside ChatGPT, Perplexity, and Google’s AI mode.

We cover:

• How AI engines actually source, rank, and surface brand mentions
• Why long-tail, bottom-of-funnel content is outperforming top-of-funnel in AI-driven search
• How structured data, static content, and schema impact visibility in real-time results
• The difference between being linked and being mentioned — and why most brands get it wrong
• Practical ways small teams can start experimenting with AI visibility without overhauling their entire SEO strategy

If you’ve been wondering how to adapt your content strategy for the next era of search — and make sure your brand actually shows up in AI answers — this episode is for you.

📌 Mentioned in this episode:

• AI Visibility Optimization (AIVO)
• RivalC (AI visibility tracking)
• Long-tail keyword strategies for AI search
• Structured data and schema markup
• ChatGPT, Perplexity, and Google AI Mode

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AIVO, AI Visibility Optimization, AI Search, SEO, Long-Tail Keywords, Structured Data, Generative Engine Optimization, AEO, GEO, Brand Mentions, Content Strategy, B2B Marketing

Find the show notes and transcript here.

Send us a text

📬 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 Nathaniel Miller, Head of Marketing at Ashbrook Technologies and founder of his own growth agency, to unpack one of the biggest questions in AI visibility right now — do brand mentions matter more than backlinks?

We cover:

• Why backlinks and brand mentions both influence AI search visibility — and when one matters more than the other
• How digital PR, social presence, and relationship-building shape off-page SEO in the AI era
• The decline of Reddit’s influence and what might come next for community-based authority signals
• How marketers can approach AI search (AEO, GEO) without abandoning SEO fundamentals
• The tools and tactics Nathaniel recommends, including Qwoted and intentional backlink outreach

If you’ve been wondering how to adapt your link-building and PR strategy for AI-driven search — and how to earn visibility that actually lasts — this episode is for you.

📌 Mentioned in this episode:

• Digital PR and backlink strategies
• Off-page SEO for AI visibility
• Reddit and community-based authority signals
• Quoted (modern HARO alternative)
• AI search and visibility metrics

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: Brand Mentions, Backlinks, Digital PR, AI Search, Generative Engine Optimization, AEO, GEO, Off-Page SEO, Authority Signals, Content Strategy, B2B Marketing

Find the show notes and transcript here.

Send us a text

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

In this episode of Found in AI, I sit down with Usama Khan, a B2B SaaS content strategist, to unpack how bottom-of-funnel content is evolving in the age of AI search—and why clarity and real customer insight matter more than ever.

We cover:

• Why middle- and bottom-of-funnel content now drives the majority of AI search visibility
• The three proven formats every startup should prioritize: category, comparison, and jobs-to-be-done keywords
• How to use sales calls and product demos to write content that actually converts
• Why generic messaging confuses both readers and large language models
• The growing role of authority signals like Reddit mentions and G2 reviews in AI visibility

If you’ve been wondering how to adapt your content strategy for an AI-first search world — and how to make bottom-of-funnel content work harder than ever — this episode is for you.

📌 Mentioned in this episode:

• Bottom-of-funnel content frameworks
• Category, comparison, and alternative pages
• Jobs-to-be-done keyword research
• Content pyramid model (via Animals)
• AI search visibility metrics and authority signals

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist

Website → cassieclarkmarketing.com

Keywords: Bottom-of-Funnel Content, AI Search, B2B SaaS Marketing, Comparison Pages, SEO for AI, Generative Engine Optimization, Content Strategy, Thought Leadership, Jobs to Be Done, Authority Signals

Find the show notes and transcript here.

Send us a text

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

In this episode of Found in AI, I sit down with Romana Kuts, founder of SaaStorm, to unpack how structured data and schema markup are becoming the simplest—and most overlooked—fix for AI visibility. We cover:

• Why short, direct FAQ schema is one of the strongest signals for AI engines.
• How author schema helps prove your content was written by a real human (and why that matters for trust).
• The difference between SEO schema vs. AI schema — and how crawlers read them differently.
• Whether you should bother with llms.txt — and what Romana’s A/B tests revealed.
• How to implement schema without turning your blog into an FAQ dump.

If you’ve been wondering how to adapt your SEO playbook for an AI-first search world — and which signals actually help you get cited in GPT and other LLMs — this episode is for you.

📌 Mentioned in this episode:

• FAQ schema and author schema
• llms.txt experiments
• AI visibility tracking infrastructure
• AirOps for AI-assisted content workflows

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: Structured Data, FAQ Schema, Author Schema, AI Search Visibility, LLM Optimization, Generative Engine Optimization, B2B SaaS Marketing, AI Citations, Schema Markup, Digital Marketing

Find the show notes and transcript here.

Send us a text

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

In this episode of Found in AI, I sit down with Kristina Frunze of WebView SEO to break down the metrics that actually matter for Generative Engine Optimization (GEO). We cover:

• Why AI traffic still makes up just 1% of overall website traffic — and converts at the same rate as organic.
• The difference between AI traffic (easy to track) and AI share of voice (more important for competitive insight).
• How to think about AI citations as the new backlinks — and why brand mentions matter more than links.
• Which types of bottom-of-funnel content drive AI traffic leads.
• The role of sentiment tracking — and how to influence how LLMs talk about your brand.

If you’ve been wondering how to measure success in AI search — and where to focus your reporting — this episode is for you.

📌 Mentioned in this episode:

• BrightEdge and Omze studies on AI traffic & conversions
• Ziptidev and other GEO tools for share of voice
• Bottom-of-funnel content for AI-driven leads
• Brand mentions and AI sentiment
• The debate over whether GEO really matters
• Find the free AI visibility tracker here.

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: GEO Metrics, AI Search, Generative Engine Optimization, WebView SEO, AI Traffic, AI Citations, Share of Voice, AI Leads, AI Sentiment, B2B Content Marketing, Digital Marketing Trends

Find the show notes and transcript here. 

Send us a text

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

Welcome back to Found in AI, the podcast about getting your business discovered in AI search.

This week, I’m joined by Chris Panteli, co-founder of Linkifi, a digital PR and link-building agency that helps brands earn coverage in top-tier publications like Forbes, the BBC, and The New York Times. Chris pitched himself for this conversation — and for good reason. He’s passionate about how PR can support businesses looking to increase their visibility, not just in traditional media, but in the way AI tools surface information.

In this episode, we dig into:

• Why digital PR is different from traditional link-building — and why journalists still matter in an AI-first world
• How AI search engines decide which brands to surface (and why trusted mentions carry weight, even without backlinks)
• The biggest mistakes founders make when they DIY their own PR
• How startups and small businesses can get PR-ready — from polishing your About page to pitching journalist requests on platforms like HARO and Qwoted

Whether you’re an early-stage founder or a marketer looking to sharpen your visibility strategy, this conversation will give you practical ways to build authority and get discovered in today’s evolving search landscape.

Resources & Links

• Connect with Chris Panteli: linkifi.io | LinkedIn: Christopher Panteli
• Learn more about my work: cassieclarkmarketing.com | LinkedIn: Cassie Clark
• Sign up for ThoughtTree's beta testing: Beta test waitlist

Keywords: PR Strategy, Digital PR, AI Search, Link Building, Brand Mentions, GEO, AEO, Answer Engine Optimization, Startup Visibility, Thought Leadership, HARO, Qwoted, Journalist Requests, Reputation Building, SEO and PR, Small Business Marketing, AI Content Discovery, Digital Reputation, Marketing Authority

Find the show notes and transcript here.