Google Search Console's Multimodal Report: What AI Visibility Teams Can Measure

Google Search Console's new Web: multimodal filter shows which pages appeared when someone searched using an image. Check it in Search results for page exposure and clicks, then in the Generative AI report for linked-page impressions in AI Overviews and AI Mode. Neither view shows the searched image or tells you whether an answer recommended your brand.

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Summary

Start with the Pages tab, not a keyword list. Google does not provide a query dimension for image-led searches, so the useful question is which of your pages surfaced and whether that changed over a comparable period. The same multimodal filter is available in Google's Generative AI performance report, where it narrows impressions to image-led searches that displayed a link to your site in an AI feature.

Keep the two reports and your answer review in separate columns. A Search impression, an AI-feature impression, a visible link, a brand recommendation, and a visit answer different questions. Use each to decide what to inspect next; none alone establishes that a page change increased sales.

What Google added

On September 24, 2026, Google announced a Web: multimodal search-type filter for searches that use an image. It covers Google Lens, Circle to Search on Android, images uploaded to Google Search, and Chrome's “Search this image” command. The filter is rolling out globally. Google says data will appear in a property's Performance report when that site receives traffic from these searches, so an empty view needs a coverage check before it becomes a performance conclusion.

This is a filter for the input to the search, not a new label for every result containing an image. It sits under Web, separate from the Image search type. That difference matters if an agency already reports Google Images clicks: the new filter answers whether a person searched with an image, while the Image search type covers results in Google's Images experience.

Google added the filter to both the standard Search results report and the Generative AI performance report. The latter covers AI Overviews and AI Mode. A multimodal filter there narrows the report to the intersection: an image-led search in which a link to your site appeared in a supported AI feature.

Read the right measure

Observation	Where to check	What it tells you
Image-led Web exposure and clicks	Search results → Search type → Web: multimodal	Which linked pages appeared, and whether someone clicked a result leading to your site
Image-led AI-feature exposure	Generative AI → Search type → Web: multimodal	Which linked pages earned impressions in AI Overviews or AI Mode
Brand wording and recommendation	Saved answer from a relevant buyer question	Whether the answer named your brand and presented it as a choice
Visit and useful action	Website analytics	Whether a visitor reached your site and did something useful there

The Generative AI report defines an impression as a link to your site shown to a user in a supported AI feature. It reports impressions, not the words around that link or a click count for that feature. The standard Search results report includes clicks, but its multimodal view is broader than AI-feature appearances. Do not add the two impression totals as if they were independent audiences; one image-led search can contribute to both views.

Google's dimension guidance says the Queries tab is unavailable with Web: multimodal because the search mostly used an image. You cannot recover the photo or exact visual question from a page row. The Pages tab lists the linked destination, usually credited to its canonical URL. Country, device, and date can help narrow a pattern, but they do not identify the object the person pointed a camera at.

How to use the report

Imagine a small retailer sells ceramic mugs and publishes a care guide. If that guide appears in the multimodal Pages tab, the report tells the retailer that Google linked the page for image-led searches. It does not tell the retailer whether people photographed a mug, circled a screenshot, or asked a follow-up question about care. That example is a way to interpret a row, not a reported customer result.

For a useful review, export the selected date range and save the report name, search type, date window, country, device, page URL, impressions, and clicks where the report supplies them. Repeat with the same filters on the next comparable window. Search Console dates outside its hourly view use Pacific Time, so a Warsaw-based agency should label the export's time zone rather than silently treating the dates as local days.

Open the pages with recurring exposure. Does a product page identify the object clearly, show useful images, and answer the question a buyer might have after recognizing it? Does a guide connect the photographed item to the correct product or service? Check the page itself before commissioning more visual content. A rise in impressions identifies a page to investigate; it does not show which edit caused the rise.

The absence of query text changes the audit. Keep a small, separately collected set of buyer questions for AI-answer review. If an answer names a competing product, save the wording and displayed links. You cannot join that individual answer to a particular Search Console multimodal impression without matching evidence. Treat the two records as complementary views of discovery, not a single tracked journey.

What to report to a client

A short reporting sentence is more useful than a new composite score:

“Google Search Console showed image-led Web exposure for these pages during the selected period. Its Generative AI view showed linked-page impressions for image-led searches in AI Overviews or AI Mode. We reviewed separate buyer-question answers for brand wording and citations. We have not attributed an individual search, recommendation, or lead to those impressions.”

If the filter is absent, record “unavailable” and the property checked. If it is present but empty, record the date range and whether the site has relevant image-led traffic. Do not turn either state into a zero-visibility claim. Google's rollout notice and report eligibility conditions make those distinctions necessary.

Our earlier Google AI Overview monitoring recorded source URLs in 463 of 535 successful answers. That historical source list could show which pages were returned with answers, but it could not identify the searcher's image input. Search Console's new filter adds a different measurement layer. It does not turn those earlier responses into multimodal-search observations.

Using PromptScout

Use Monitoring to review completed Google AI Overview answers for buyer questions you chose to track, then Sources to inspect linked domains and pages. Keep the Search Console multimodal export beside that review for Google's page-level exposure. PromptScout's answer records help you inspect brand and competitor wording; the Google report supplies the image-input filter. Note the question, answer date, and source URL in your review, while keeping Search Console impressions and website visits in their own fields.

For the broader setup, see how to monitor Google AI Overviews. For link placement within an answer, see what to measure when AI Overviews show inline links.

Notes on the data

Google announced the multimodal filter on September 24, 2026. Its documentation defines the report scope and metrics; no multimodal Search Console export was analyzed for this article. The historical count covers 535 successful Google AI Overview answers across 82 tracked questions from August 25 through September 23, 2026 UTC, with source URLs in 463 answers. It measures source URL presence in that collected set, not multimodal search exposure, brand recommendations, or visits. The mug example is illustrative.