Google added multimodal search reporting to Search Console on 24 September 2026, giving site owners a dedicated way to see how their pages perform when users search with an image rather than typed text. The new filter covers Google Lens, Circle to Search on Android, image uploads to Google Search and Chrome’s right-click “Search this image” feature.
What changed in Search Console
Google’s announcement introduces a new multimodal search type inside Search Console’s performance reporting. It appears in the Performance report for Search results and also in the report for Generative AI features. The practical change is that publishers can now separate image-led discovery from ordinary text-based web searches and analyse it as its own traffic source.
The filter includes searches triggered by an image, photograph or screenshot. Google specifically lists Lens, Circle to Search, direct image uploads and Chrome’s image-search shortcut. The company says the integration is rolling out globally and that sites will begin seeing metrics when they actually receive traffic from these search experiences.
This matters because visual search is no longer a niche interaction confined to Google Images. A user can point a phone camera at an object, circle something on screen or upload a screenshot and arrive at a web page without ever typing the traditional keyword that SEO teams are used to analysing.
Why Search Console multimodal reporting matters
For website owners, the main benefit is visibility. Until now, Lens and other image-led search journeys were difficult to isolate in Search Console. The new filter makes it possible to see whether a page is earning impressions and clicks from visual discovery rather than from text-based queries.
That distinction is especially useful for ecommerce, travel, food, fashion, home improvement, local business and any site where the visual appearance of a product, place or object is important to how users search. It can also matter for technical publishers whose diagrams, screenshots or interface images help users identify a tool or solve a problem.
The feature does not automatically tell you why a page performed well in multimodal search. It does, however, give SEO teams a new segment to compare against the rest of organic search. That creates a more useful starting point for testing whether visual assets are contributing to discovery.
The biggest limitation: no query data
The most important limitation is that multimodal reporting does not expose normal query data. Search Engine Journal reported that the new filter shows which pages receive traffic from image-based searches, but not the text-style query behind each visit. That is understandable because the user’s input may be a photograph or screenshot rather than a written phrase.
This changes how the report should be analysed. In standard Search Console work, SEO teams often start with queries and then inspect the pages that rank for them. With multimodal traffic, the page itself becomes the more useful unit of analysis.
A practical workflow is to compare landing pages that receive multimodal impressions against pages that do not, then review the visual assets on those pages. Product photography, diagrams, screenshots, image relevance, surrounding text and structured context become more interesting variables than conventional keyword frequency alone.
Do not treat the new filter as a ranking update
Google’s announcement is a reporting change, not an announced ranking change. That distinction matters. There is no basis for claiming that the introduction of the filter means Google has suddenly changed how visual results are ranked, or that adding more images will automatically improve visibility.
What has changed is the measurement layer. Site owners now have more information about traffic that already comes through image-led search experiences. Search Engine Roundtable reported an additional useful detail from Google’s John Mueller: according to the team, this data was not previously included in the standard counts, which means the new filter is adding visibility rather than merely re-labelling existing text-based metrics.
For analysts, that means a change in total reported impressions around the rollout should be interpreted carefully. A rise in reported activity may reflect newly visible multimodal data rather than a sudden improvement in ranking performance.
What site owners should measure first
The safest way to use the new data is to establish a baseline before making major changes. Export the multimodal segment and compare it over time rather than reacting to one or two days of data.
- Identify landing pages: find which URLs receive multimodal impressions and clicks.
- Compare page types: determine whether products, articles, category pages or image-heavy guides perform differently.
- Review device patterns: image-led search is likely to have a strong mobile component, so compare devices where useful.
- Check visual relevance: inspect whether the pages with multimodal visibility contain clear, original and contextually relevant images.
- Track trends: compare weekly or monthly changes instead of drawing conclusions from a short rollout window.
- Connect to conversions: where analytics setup allows it, measure whether multimodal visitors behave differently after landing.
The important point is to treat the new metric as a diagnostic signal, not as a target in itself. A page that earns more multimodal impressions is not automatically more valuable unless those visits support the site’s actual goals.
Practical implications for SEO teams
Search Console multimodal reporting adds a new reason to audit visual content more deliberately. That does not mean chasing a separate “multimodal SEO” formula. It means making sure important pages use images that are useful, clear and connected to the subject of the page.
For ecommerce sites, this may reinforce the value of strong first-party product photography and detailed product pages. For publishers, screenshots and explanatory images can become easier to evaluate as discovery assets. For local businesses, original images of locations, services or products may provide useful context for Lens-style searches.
Technical hygiene still matters. Images should remain crawlable, pages should be indexable, relevant structured data should be valid where applicable, and image files should not create unnecessary performance problems. The new report makes visual discovery easier to observe, but it does not replace established SEO fundamentals.
Critical analysis
In our assessment, the new multimodal filter is valuable mainly because it closes a measurement gap. It gives publishers a clearer picture of how image-led search contributes to organic discovery without pretending that the underlying user behaviour can be reduced to conventional keywords.
A key limitation is the absence of query data. Without seeing the exact image or visual input that triggered the result, site owners cannot directly map an impression to a specific user intent. That makes analysis less precise than traditional keyword reporting and increases the importance of page-level comparison.
The available evidence also suggests that businesses should avoid overreacting to early numbers. Google is still rolling the feature out, and Search Console will only show the segment when a site receives relevant traffic. Early data may therefore be sparse, uneven or concentrated on a small number of pages.
The most useful response is not to redesign a site around visual search overnight. It is to establish a baseline, identify pages already appearing in multimodal discovery, and test improvements where visual relevance clearly matters. If the segment grows over time, those tests can become part of a broader SEO measurement process rather than a separate optimisation fad.
Sources
- Google Search Central — Announcing web multimodal Search performance reporting in Search Console, 24 September 2026.
- Search Engine Journal — Google Search Console Adds Multimodal Filter For Image-Based Searches, 24 September 2026.
- Search Engine Roundtable — Multimodal Search Type Filter In Google Search Console Performance Report, 24 September 2026.
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