just saw a piece from @sejournal about how chatgpt, gemini, and claude are dominating the ai search landscape right now. it brings up a really interesting point about whether including perplexity in our metrics is actually
helping messing up our data. if we give it too much weight, our visibility scores might look totally distorted because of how it functions differently from the others. the idea is to keep an eye on it for competitive signals without letting it
skew the entire report . i wonder if we should treat it as a separate category entirely.
> tracking perplexity alongside the big three might be creating false positives in our growth metrics.it feels like we are at a crossroads with how we define
ai visibility lately. maybe the move is to focus on the core models and use perplexity only for specific deep-dive audits
or just ignore it until they change their citation logic . does anyone else feel like our current dashboards are becoming too noisy to be useful?
article:
https://www.searchenginejournal.com/chatgpt-gemini-claude-lead-ai-visibility-is-it-time-to-stop-tracking-perplexity/588378/