A client told us ChatGPT kept recommending Grow and Convert until she had to reach out. So we copied her exact prompt into an incognito window. We were nowhere to be found. That one example changed how we think about AI search strategy entirely.

In this episode, we introduce Topic-Based GEO, our new framework for content strategy in the age of AI search.

We explain the concept of "invisible prompts" (the personalized context behind every AI search that makes prompt-level tracking unreliable), walk through how to build a topic map for your business, and share practical steps for creating the kind of content that actually gets LLMs to recommend you.

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/

Your ChatGPT traffic is probably 5-10x higher than what your analytics shows.

We used to think AI traffic was a small fraction of Google. We showed you the data a few episodes back — ChatGPT was about 3-4% of organic Google traffic across our clients.

We've revised our thinking.

In this episode, we break down why analytics tools are dramatically underreporting LLM-driven traffic and leads, why Google AI Overviews are creating the same attribution blind spot, and what you should actually be doing about it.

The core issue: when someone discovers your brand in ChatGPT or a Google AI Overview, they don't click a trackable link. They open a new tab, Google your name, and land on your homepage. Your analytics says "direct" or "organic." The real source? An LLM.

The only way to know? Ask them.

We walk through real examples from our own data and client accounts, show exactly how this plays out in ChatGPT and Google AI Overviews, and share what we're changing in how we measure and report on content performance.