Framework Quick Reference
When to use this: Buyers are using LLMs to compare products and get recommendations, and you want your product specifically recommended with your preferred positioning at the bottom of the funnel.
What you’ll achieve: Train LLMs to recommend your product by name for specific use cases using actual customer language and positioning from positive reviews.
Who this is for: B2B SaaS companies with strong customer reviews on platforms like G2, Capterra, or GoodFirms who want to influence product discovery in AI search.
How it works: Collect positive reviews highlighting specific features or use cases, republish verbatim across owned channels (website, blog, documentation, social), distribute to trusted review sites to train LLMs on your preferred messaging.
What you’ll need: Access to customer testimonials and reviews, distribution strategy across owned platforms, and potential review generation system (automated requests, incentives) if reviews are lacking.
Time to results: 1-2 weeks for LLM indexing, though review aggregator sites may surface faster in AI recommendations with strong existing presence.
This BOFU strategy revolves around training LLMs to specifically recommend your product, all while using your preferred positioning.
Similar to the AI-based solution seeding framework above, pulling this off begins with identifying content that props up your brand.
- Collect reviews. Instead of coined terms turned seed statements, when training LLMs to recommend your product to primed leads, you’re starting with positive reviews.
- Go to your testimonials page, case studies, or an aggregator site like G2 to find positive reviews — especially ones that focus on how someone loves a specific feature or thinks you’re the best solution for a certain user type.
- If you don’t have any content like that yet, see if support has any customer commentary to share, or look into spinning up a system for generating testimonials (automate email review requests, offer incentives, etc.).
- Distribution. Repost positive reviews — staying as close to the same language as possible — across your owned platforms. Your website and blog are obvious candidates, but don’t sleep on channels like communities, social media, product documentation, and so on. This should help train LLMs to use your specific messaging when referring to your product.
In Action: ActiveCampaign
When asking ChatGPT to uncover the best sales automation software for digital agencies, its top selection — ActiveCampaign — is chosen partially due to a review directly from a digital agency, compliments of review compilation site GoodFirms.
All it took was one highly-relevant review to help ActiveCampaign rise to the top of AI search results and get mentioned by name.
With this framework, ActiveCampaign would keep republishing this review across trusted, crawlable sites and platforms to try to score more specific product recommendations in AI search results.
Explore the full collection: Essential Content Marketing Frameworks for a Zero-Click World
