The Grow and Convert Marketing Show

Benji Hyam and Devesh Khanal

We share our thoughts and ideas on how to grow a business.

  1. 2d ago

    AI Visibility Case Study: How to Grow a New Brand That Hadn't Invested in AI Search or SEO

    Most GEO/AEO advice assumes you're already a known brand. Here's how we'd approach GEO/AEO if you're not. Redline Capital is a business funding company that came to us after running mostly outbound. They didn't really have an online presence, no SEO foundation, and they were competing against incumbents that had invested in SEO for years. In this solo episode, Devesh walks through their Traqer dashboard and shows exactly how they went from roughly zero AI visibility to ~30% across ChatGPT, Perplexity, Gemini, AI Overviews, and AI Mode- and which parts are still at zero, and why that's fine. Covered in this episode: → Why new brands can't get into an LLM's training data — and why web search is your only realistic wedge in → The Prioritized GEO pyramid, and why owned content beats off-site mentions when you're starting from nothing → Why a single blended "AI visibility %" is misleading and trivially gameable — drop the topics you lose and the number goes up → Why prompt tracking is not keyword research, what clickstream data actually is, and why it misses your B2B buyer entirely → The self-promotion myth, busted: Redline's own product page is the #1 citation and a named brand mention in ChatGPT, ranked above NerdWallet, Wall Street Journal, and Forbes → Citations ≠ brand mentions — and why getting cited ninth is worth almost nothing → Why attribution gets harder as you win: when LLMs name your brand without linking, people just Google you, and it lands as direct traffic Prioritized GEOInvisible Prompts Topic-Based GEO Pain Point SEO Traqer (our AI visibility tool) Questions about your own brand? Drop them in the comments, we read all of them. Newsletter

  2. Jun 8

    Does Third-Party Content Actually Drive LLM Brand Mentions More Than Your Own Site?

    "Third-party content drives 85% of brand discovery in LLMs." It's the GEO stat making the rounds on LinkedIn right now, and a lot of marketers are using it to argue that your own site content doesn't matter anymore- that GEO is really about getting mentioned everywhere else. We disagree. And we have client data that contradicts it. In this episode, Devesh and Benji break down where this narrative came from (an Air Ops post citing a Graphite study), where the methodology breaks down, and what we're actually seeing across our clients in Traqer.ai.  The short version: big brands like Salesforce and Peloton skew studies like this because they already have category-level brand awareness.  For smaller players like Toro TMS and Climb Hire, clients we've worked with where their own content is essentially all we've done, they're pulling strong brand mentions across ChatGPT, Perplexity, AI Overviews, AI Mode, and Gemini. That's not third-party publications doing the work. We also get into:– Why Perplexity, AI Overviews, and AI Mode behave differently than ChatGPT and Gemini (and what visibility numbers look like across each)– The growing evidence that LLMs may decide what to recommend from training data and a loose SERP read first, then find sources to cite after the fact– Why competitive categories (CRM, exercise bikes, content marketing agencies) need a different playbook than less-saturated ones– Why your own site is the only place with enough canvas to spell out the specific use cases, pain points, and customer types that LLMs match against real user conversations Referenced posts: Invisible Prompts and Topic-Based GEOhttps://www.growandconvert.com/ai/invisible-prompts/https://www.growandconvert.com/ai/topic-based-geo/ This is the companion to last week's episode on self-promotional listicles for SEO. Watch that one first if you haven't. Subscribe for new episodes. Newsletter and full written breakdowns: growandconvert.com/newsletter #GEO #AISearch #ContentMarketing

  3. Apr 2

    GEO Is Not SEO: The New Rules for Getting Recommended by AI

    Most people optimizing for AI search are focused on the wrong metric. Getting cited by an AI model feels like a win but a citation doesn't mean you're actually influencing the answer.  And after sampling AI search prompts over 20,000 times, the data makes that painfully clear. In this episode, Devesh and Benji from Grow and Convert sit down with Bernard from Clearscope to break down what's really driving AI recommendations and what isn't.  They get into why Gemini searches an average of 5.7 times per query while ChatGPT barely searches at all, why Google appears to be actively suppressing brand citations even when it mentions you, and why the GEO "hacks" everyone's pushing right now (schema, Reddit, you name it) aren't moving the needle. The bigger takeaway: training data controls 70–80% of what AI recommends. Web search only affects 20–30%. Which means the content strategy that actually works in this new era isn't about producing more it's about going way more specific. In this episode: Why getting cited by AI ≠ influencing the answer Gemini vs. ChatGPT: how differently they search (and why it matters for your strategy) The brand suppression finding: why mentioning yourself might be hurting your citations Why "Content 2.0" is about persona-specific, long-tail content not volume How Grow and Convert is evolving Pain Point SEO for the AI search era Relevant articles:Invisible prompts: https://www.growandconvert.com/ai/invisible-prompts/Topic Based GEO: https://www.growandconvert.com/ai/topic-based-geo/

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We share our thoughts and ideas on how to grow a business.