Fan-Out Experiment
Here’s how we set up and ran our experiment:
- I selected four articles from our blog
- For each selected article, I researched 10 to 20 fan-out queries
- I partnered with Tushar Pol, a Senior Content Writer on our team, to help me execute the content changes for this experiment. He edited the content in our articles to address as many fan-out queries as possible.
- I set up tracking for the fan-out queries so we could measure before and after AI visibility. I used the Semrush Enterprise AIO platform for this. We were mainly interested in seeing how our content changes impacted visibility in Google’s AI Mode, but our optimizations could also boost visibility on other platforms like ChatGPT Search as a side effect, so I tracked performance there as well.
Let’s take a closer look at each of these steps.