How should beauty brands use multimodal Search reporting?

Search Console multimodal Search reporting adds a performance view that separates image-led web searches from text-based searches. Google says the reporting appears in both the Performance on Search results report and the report for generative AI features (Google Search Central (2026)).

The scope includes searches with Lens, Circle to Search on Android, image uploads to Google Search and Chrome's “Search this image” feature (Google Search Central (2026)). This is not merely a new name for the Google Images search type; it groups several journeys in which an image is the starting input.

This topic is distinct from the Search Console AI performance report. The AI report covers impressions in generative features, while the multimodal filter separates searches initiated with an image. Use them to answer different questions instead of combining them into one total.

To use the Search Console multimodal Search filter, select the new multimodal search type in the Performance report and export the data for comparison with the same periods and dimensions. Google says the insights are available through the new filter and can be downloaded with Export for analysis in other tools (Google Search Central (2026)).

• Open the multimodal view for the latest 28 days and record the date range.
• Export page, query, country and device dimensions for that same range.
• Group product, category and editorial-guide URLs separately.
• Reuse the same filters in the next period; do not manufacture growth by changing the measurement method.

The standard Search Console Performance report offers clicks, impressions, click-through rate and average position, with query, page, country, device, search appearance and date dimensions (Google Search Console Help (2026)). When applying the multimodal filter in this framework, document the exact metrics and dimensions in every internal report.

Beauty brands should measure multimodal Search performance by page type and visual intent rather than treating one property-wide total as the answer. A product detail page may answer “what is this?”, a category page “what is similar?”, and a guide “how do I create this look?”; combining them weakens the decision.

• On product pages, track packaging, shade, texture and variant imagery as separate content clusters.
• On category pages, evaluate similar-product discovery; in guides, track application, look and comparison intent.
• Read mobile data separately because Google's Lens and Circle to Search examples bring camera and on-screen search directly into the journey.
• Do not label impression growth as sales growth. Connect analytics and commerce data separately to measure conversion.

Google says these metrics begin to appear in the Performance report only if a site is receiving traffic from multimodal queries (Google Search Central (2026)). An empty report is therefore not proof of a configuration error; first check whether enough data exists.

Multimodal Search reporting should identify high- and low-performing page clusters and help select the next visual-content experiment; the filter is not an optimization recipe by itself. Google says the content and metadata of an image's landing page can influence how and where the image appears in Search (Google Search Central (2026)).

For a first test, place each image near relevant text, use a short descriptive filename, and write accessible alt text that fits the page context. Google's image SEO guidance recommends placing images near relevant text on relevant pages and making alt text useful, information-rich and contextual (Google Search Central (2026)).

Do not isolate the image layer on product pages. Google says Product structured data can present product information more richly across Search, including Google Images and Lens, and that providing both structured data and a Merchant Center feed maximizes eligibility (Google Search Central (2025)). Keep price, availability and variant information consistent across the page, markup and feed.

A 30-day plan for Search Console multimodal Search should fix the measurement baseline first, then run a controlled test on a small page cluster. This prevents the new visibility signal from being buried under several simultaneous changes.

• Days 1–7: export the multimodal filter and build a baseline for product, category and guide pages.
• Days 8–14: choose one meaningful page cluster and apply one change set covering image proximity, filenames and alt text.
• Days 15–21: check indexability, canonical selection and image accessibility; do not add a new variable.
• Days 22–30: measure again with the same range, filter and page group; record direction without presenting short-term timing as causation.

Track video-led product education separately. Google says videos can appear in the main Search results, Video mode, Google Images and Discover, and supports structured data, video sitemaps and Open Graph metadata for discovery (Google Search Central (2025)). When the multimodal report changes, avoid mixing image and video revisions in the same test.