Conference: Oct 5-6
Workshops: Oct 7
One Strategy, Two Channels: Why Product-Centric Content Wins in the World of AI Search
Devesh Khanal (Co-Founder, Grow and Convert)
Date: Monday, October 5
Time: 2:00 pm - 2:30 pm
Pass Type:
All Access, 3-Day, 2-Day, Digital -
Get your pass now!
Audience Level:
Intermediate
Track:
Discoverability & Optimization
Vault Recording: TBD
Audience Level: Intermediate
Marketing teams are getting pressured to have a specific AI search strategy ("What's our AI strategy?!"). So most end up doing things like adding an llms.txt file to their site, putting bullet-point summaries at the top of content, testing schema markup, adding FAQ sections, and more.
These activities feel productive because they feel different from SEO and specific to AI search. But they don't move the needle because they don't actually help LLMs discover your brand. They're designed to help LLMs digest the content on your site, but LLMs don't need that help. They understand natural language just fine.
The #1 way to expose your brand to LLMs is to be present when they search the web to answer their users' questions. And there's a key insight here: LLMs search the web and cite specific brands far more often for bottom-of-funnel, product-specific topics. If a user asks for content marketing advice, an LLM will just give it to them. No brands mentioned, often no sources cited. But if a user asks for content marketing software or services, LLMs will search the web and then summarize what they find, naming specific products and companies.
That leads to a very specific and straightforward content strategy that drives AI visibility and is highly effective for SEO at the same time: product-centric content. Content that lists and discusses products, compares them, and gives detail about your product versus the competition, targeting product-specific Google keywords. This content gets discovered by LLMs when they search the web to answer user questions, while also earning you valuable bottom-of-funnel Google rankings. One strategy, two channels.
This talk will share the data supporting this strategy, discuss the specifics of how to execute it, and walk through real examples and results so participants can apply the framework to their own brand.
Takeaway
1) Why the most common GEO tactics (llms.txt, schema markup, FAQ sections, bullet-point summaries) don't improve AI visibility, and what to stop spending time on
2) How LLMs actually discover brands to recommend: the specific role web search plays in product-related queries and why bottom-of-funnel topics are where AI visibility is won
3) How to build a product-centric content strategy that drives both AI visibility and SEO results at the same time, with real examples and data from executing this across 100+ clients