Keyword research is changing now that Google AI Overviews are part of the SERP
I've noticed that traditional keyword research doesn't always give me the complete picture anymore.
A keyword might have strong organic search demand, but the actual search results can include AI Overviews, featured snippets, discussions, local packs, videos, and other SERP features.
I've been using SerpSpur because it includes these signals alongside traditional keyword metrics.
Some features I've found useful include:
AI Overview detection.
Active SERP feature identification.
Featured snippet detection.
People Also Ask identification.
Discussions and forums detection.
Video, image, shopping, local pack, and knowledge graph signals.
AI Overview blueprint generation for inspecting the answer and cited sources.
The AI Overview blueprint is particularly interesting because I can examine the generated answer and see which sources are cited. I can also check whether my own domain appears among those citations.
I wouldn't use any single AI visibility metric as a replacement for actual performance data, but it adds another research layer.
Are you including AI search visibility in your keyword research process yet?
