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Marie Haynes
@Marie_Haynes
I like learning about Google, AI, Search & Agents Weekly update on what's changing in Search & AI:
가입 November 2010
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1. Export the data for the new multimodal searches filter in GSC. 2. Give it to your LLM tool (I used Antigravity) and ask it to report to you which pages are getting the most impressions and clicks from multimodal searches. 3. Have the LLM tool visit the top urls and speculate on why they are getting searches from multimodal search. 4. Ask the LLM tool to create a dashboard with its findings so you and your client can use it for brainstorming. I did this for a client and it surfaced some interesting things. I asked Antigravity to make an anonymized version and it generated some fake products and observations so I could demonstrate my point. Really this is just the start. The next step is to look at the pages that are getting visits from multimodal search and brainstorm on what's special about these pages and whether you can take those ideas and use them to improve or create other pages.
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I am currently trying to wrap my head around practical use cases for Search Console's "Multimodal" (search by image) filter... I appreciate Google's efforts (don't get me wrong), but the recent upgrades to our dashboards are neat, albeit unusable. I am a very practical person. I fail to appreciate data that offers no new actionable benefits. So now we know which pages are viewed and clicked when someone is searching by picture (usually from a mobile device). What gives? So far, what I came up with: ✅ Add higher-quality images to pages where you get lots of impressions but very few clicks. ✅ Diversify your product images in different ways (add pictures of more colors, close-ups of details, etc.), annotate this in the SC, and see which drove more action ❓ Anything else?
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