Converting YouTube videos to written blogs
Written transcripts of video content get cited.
AI search theories, tested and published openly.
OtterlyAI runs controlled experiments on how AI search engines like ChatGPT, Perplexity, Google AI Overviews and Copilot choose what to cite. We publish the full method and the raw data every time. If you want to check our work, you can.
Every row below comes from an experiment we ran and published, and each one links to the full write up with the method and the data.
Every result links to the full experiment, including the method and the raw data.
Controlled tests, published in full whether they worked or not.
Written transcripts of video content get cited.
AI slop is fatal in Google. Both sites were silently deindexed.
35% of a removed page's citations still arrived after deletion.
Edited pages grew 56% and 61%, but so did an untouched control.
Active subreddits earned 9x more AI citations than dormant ones.
AI has no shared taste. Design and aesthetics gave no benefit.
Effective but conditional. Award pages lifted visibility 121%.
Exact match AI generated videos on YouTube get picked up.
No measurable impact. Image metadata alone informs nothing.
No impact, and flagged as abuse by AI search platforms.
Some platforms detect and discount it outright.
No measurable impact on AI traffic or citations.
Effective for Google AI Mode and AI Overviews only.
Listicle mentions correlate strongly with being recommended.
Moderate impact. Certain niche directories carry real weight.
Effectiveness varies with the competitive intensity of the topic.
The fastest way to get a clear product statement picked up.
Optimized AI content performed 40x better than human content.
No measurable impact on AI traffic or citations.
Large scale research into how AI search picks what it cites.
Publishers with OpenAI deals get 48% more citations per cited page.
Company owned pages outweigh journalism four to one across 17 US industries.
ChatGPT cut reddit.com from 4.01% of its citations to 0.44%, an 89% drop in two steps.
Every experiment changes one variable at a time against a control, and the success metric is fixed before any data is collected. Where AI search cannot be randomised we use quasi experimental designs that apply the same one variable logic across matched groups.
Only one thing changes between versions. If two change, the result cannot be attributed to either.
The primary metric is locked before data collection begins and does not change once results arrive.
Parallel execution removes timing effects. A platform update hits every version equally.
No changes to format, posting time or treatment after day one. Mid-run changes invalidate the data.
Analysis decisions are pre-registered. Anything decided after seeing data is labelled exploratory.
Results must clear a practical threshold to become a recommendation, not just be detectable.
OtterlyAI is an AI search visibility platform. We track how brands appear in answers from ChatGPT, Perplexity, Google AI Overviews and Copilot. More than 50,000 marketing professionals use it to see where they show up and where they do not.
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