Search Engine Crawl @SearchEngCrawl

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Reach the right users with the right message 📊 Google Analytics audiences help you connect your marketing objectives to the users who matter most. Save this cheat sheet to reference when building your audiences. Learn more → goo.gle/49hQqC4

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Ecommerce SEO: a major opportunity for large stores can involve achieving the Top Quality Store badging, which can give products a ranking boost. Some of the TQS categories (Shipping, Returns, Browsing, Purchase, and Store Rating) can be difficult to immediately have an impact on, with the Browsing Experience category being one that can have more wiggle room than others. For instance, I often see stores that don't have a competitive rating for the 'high resolution images' sub-section. You may have a 'Good' rating for this criteria, but it can be possible to get to 'Great' through some improvements. The major difficulty with this report is that while it does tell you the percentage of images that aren't classified as 'high res', there is no dataset within GMC Next that allows you to see the collection of images that are being categorised in this way. This is where your crawler of choice comes in, where you'll need to compile a list of all relevant product images to find out the file size and whether there are any clear issues in the trends for the smaller/lower res images that are being flagged within the crawl data. Tip: the approach I used recently for a client of mine involved extracting data from the product sitemap, uploading that list of URLs to Ahrefs and specifying that the image assets are the focus for the crawl. This allows you to run a relatively fast crawl to gain access to an important subset of the data. Once you've found your list of low res images that are for products that are in stock (don't worry about out of stock products for this process), you can then use the various features within Product Studio within GMC Next to enhance the existing product images. While Product Studio is quite an impressive tool within GMC Next, it's important to understand exactly what the impact is of your changes and that the changes will be taking place within the feed itself, not on the PDP – which may also benefit from having a higher quality preview of the product. There are various tabs within Product Studio where you're able to edit the background, generate a scene for the product, or increase the resolution, all being features that can be especially useful if the product image that you're working with isn't up to scratch. Another point worth raising here is that by adding a higher res image, which may also have some additional engaging attributes (that still represent the product accurately), this will add an additional image to your free listing result. This essentially means that you have the potential to also influence the 'images per offer' sub-section within Browsing Experience. If you're looking for opportunities to gain the Top Quality Store badging for your store, but you're struggling to be competitive, make sure to investigate the various feed-specific opportunities within the Browsing Experience category by using the Product Studio tool within GMC Next.

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@adcrookes LLM SEO

ChatGPT o3 vs Gemini 2.5 Pro Same prompts. Wildly different results. I’ve included videos to prove it: THREAD ↓

Check out this month's newsletter to see what is new in GBP! support.google.com/business/answe…

Optimizing for Traditional VS AI Search (SEO vs GEO) - I've created a chart featuring the differences/similarities between them through 👇 * User search behavior criteria * Areas of optimization * Goals and metrics As you can see, there's a big overlap and the major differences come in user search behavior 👀 Link to bigger version here where I’ll be also adding the charts as tables: aleydasolis.com/en/search-engi… Thanks so much to @darth_na and @chrisgreenseo for their feedback/validation!