A New Tab in Search Console Just Split Out Image Search as Its Own Channel
Search Console quietly added a filter that makes product image performance visible as its own discovery channel for the first time, rather than buried inside overall web search numbers. It sits under Performance > Search Results > Search Type, with a new “Multimodal” option that isolates impressions, clicks, click-through rate, and average position specifically from image search results, separate from the text-based queries a store is used to tracking. For a catalog-heavy PrestaShop or OpenCart store, this matters because a meaningful share of product discovery happens through Google Images and the image carousel inside regular search results, traffic that was previously invisible as a distinct line item.
Multimodal View Metrics
Once isolated, the multimodal view surfaces which specific product URLs are getting indexed with their images, how many impressions and clicks each is pulling from image search specifically, and where those images rank. That last number matters on its own: a product can rank well in text search while its image ranks poorly, and the two numbers moving independently is a signal that image-specific optimization is the lever to pull for that particular product.
Product Catalog Indexing Gaps
Before any of that data is useful, the images need to be in Google’s index, and this is the step most generic SEO advice treats as a given rather than something to verify. A standard XML sitemap lists pages, not images; getting product photos crawled specifically for image search requires an image sitemap, a separate extension listing image URLs, captions, and titles alongside the page they belong to.
This is where platform defaults differ, and checking is necessary rather than assuming either way. PrestaShop’s sitemap generation, by default, only includes a single image per product in the image sitemap, even when a product listing has five or six photos, unless a specific module (several exist in the PrestaShop Addons marketplace) is configured to include all of a product’s images rather than just the primary one. A store relying on the stock behavior is only ever surfacing one photo per product to Google’s image index, no matter how many angles and close-ups are on the page. OpenCart’s image sitemap extensions vary more by vendor: some support multi-language stores with per-language image captions and titles, others don’t, which matters directly for a store running more than one storefront language, since an uncaptioned or mismatched-language image entry is weaker signal for ranking in that language’s image search results.
Merchant Center Resolution Deadlines
Image search visibility isn’t the only reason product photo quality matters right now. Google Merchant Center, which governs Shopping listings separately from organic image search, has been flagging undersized product images in recent months with an “Image too small for upcoming enforcement” warning, and starting January 31, 2027, any product image under 500×500 pixels will be disapproved outright and stop serving in Shopping results, a unified minimum replacing the current, looser thresholds (100×100 for most categories, 250×250 for apparel). Google’s own recommendation for best performance, including in AI Mode and AI Overviews Ads, is 1500×1500 or larger, well above the coming minimum. A store that hasn’t audited its product photo dimensions against this deadline risks losing Shopping visibility entirely on affected products in a way that has nothing to do with organic search ranking, making this worth checking alongside the image sitemap work.
Optimizing Fully Indexed Images
With an image sitemap submitting every product photo, the same fundamentals that help text search apply to images: descriptive, keyword-relevant filenames instead of a camera’s default naming scheme, alt text that describes the specific product rather than a generic “product photo,” and captions where the platform supports them. High-resolution, well-lit photos consistently outperform low-quality thumbnails in image search click-through rate, which lines up with how image search operates: Google’s visual index matches on the image content itself, not surrounding text, so a blurry or awkwardly cropped photo has a disadvantage regardless of how well-optimized its alt text is.
Testing variation deliberately is effective rather than uploading one angle per product and moving on. Multiple angles, a close-up detail shot, and a true-to-color image under neutral lighting each have a chance to rank independently in image search, effectively giving one product listing several separate opportunities to show up in results instead of one.
Analyzing Incoming Performance Data
Once a few weeks of multimodal data accumulate, the useful comparison is per-product: a product converting well in text search but showing few image-search impressions is a candidate for new photography or a missing image-sitemap entry, while a product with strong image impressions but weak click-through rate on those impressions is more likely a photo-quality or presentation problem than an indexing one. Exporting that per-product data (Search Console allows a CSV export of the filtered multimodal view) and cross-referencing it against which specific product attributes, color, angle, background style, correlate with higher image-search clicks turns this from a one-time audit into an ongoing input for how new product photography gets shot going forward.
Actionable Store Checklist
Confirm an image sitemap module is installed and configured to include every product image, not just the default single photo. For a multi-language OpenCart or PrestaShop store, confirm the extension in use supports per-language captions rather than defaulting to one language across the board. Separately, audit existing product photos against the 500×500 Merchant Center minimum taking effect January 31, 2027, since that is a hard cutoff unrelated to organic image search ranking. Check Search Console’s new multimodal filter after the sitemap has had time to be crawled, and use the per-product gap between text-search and image-search performance to decide whether the next fix is more complete sitemap coverage, better photography, or improved alt text and captions, since each of those three problems looks different in the data and calls for a different fix.