Our AEO Experiment: How We Turned AI Summaries into Conversational Bridges

Here's the question that kept coming up in our strategy sessions: a user pings ChatGPT, gets a clean summary of our article, and then keeps going somewhere we can't see. The conversation doesn't end when our citation lands; it just walks off without us.

We wanted to grab the next turn. A good answer almost always sparks another question, and we figured if we could anticipate that follow-up curiosity, we'd prove the depth of our content instead of just being quoted once and forgotten.

Conversational depth signals authority. That's how LLMs learn associations. The more a user circles back to a specific source while exploring a topic, the tighter the model's link between the two becomes.

A single brilliant article is a monologue. We thought we could turn it into a dialogue by designing the next click on purpose, so that after someone got their answer card from an answer engine, there was somewhere obvious for them to keep going.

We didn't need an elaborate test. We just walked through what a real session looks like.

A user finds our in-depth guide.

They use the AI Share Button to get a quick, accurate summary.

The summary efficiently answers their broad, top-level question.

That clarity creates new questions. Specific ones. The kind of details that don't belong in a high-level guide.

So we needed a destination built for that exact moment. The strategy fell out of the diagram: every major piece of content gets a companion FAQ page.

We rolled this out on a handful of our most important articles. Each one got an FAQ page covering the top 10-15 follow-up questions, linked prominently from the main piece.

Then we watched the referral logs. The pattern showed up almost immediately. Clicks back to the original article were minimal, which we expected, but a separate stream of referrals was landing straight on the new FAQ pages.

That was the tell. Users were pulling the high-level summary from an answer engine and then choosing us for the second leg of their question.

Treat the summary as the opening of a longer exchange rather than the end of one.

Here's the logic: a summary hands the user the big picture and answers their first query, and once that's settled a different layer of curiosity wakes up. Someone who now understands the basics is ready to ask about edge cases, weird configurations, the stuff that only matters once you've got the fundamentals down.

That's where the FAQ page slots in. It respects where the user already is and gives them a direct path to the granular details they want next, turning a one-shot citation into a real session with our brand.

This has changed how we plan content. We treat the AI summary as the front door, not the destination. Every major guide we ship from here on out launches with a companion FAQ built to catch the next question. The next experiment is already on the board: tuning the AI Share Button prompt itself, maybe to something like "Summarize this guide for me and then suggest three follow-up questions I should explore next."