Find Buyer-Relevant Pages Reached Through Image-Led Search
Find Web: multimodal in Search Console, distinguish it from Google Images, and use landing-page data without mistaking it for keyword or conversion evidence.
The Search Console multimodal filter separates Web search traffic that starts with an image from traffic that starts with a text query. Use it to find landing pages reached through visual search and decide which deserve a content review. It does not reveal the submitted images, provide a keyword report or isolate multimodal conversions.
Choose your traffic signal and page purpose to identify the next useful review.
Multimodal Landing-Page Review
Choose a Signal and Page Purpose
Use the Pages tab under Web: multimodal, then select what the report shows and whether the destination serves a buyer need.
This tool recommends a review step. It cannot identify the submitted image, recover queries or attribute conversions.
How the Recommendation Is Chosen
- Clicks + buyer-relevant page: review the image and buyer explanation. If the explanation is already useful, compare matched text-based performance and assess page-level organic outcomes.
- Impressions without clicks: inspect the destination and matched text-based view. A CTR difference alone does not establish an image problem.
- No recorded activity: there is no reported multimodal activity for this page and selected period; do not infer search intent from absent data.
- No clear buyer task: do not prioritize the page for qualified inquiries on multimodal volume alone.
Source: Google’s Search Console dimensions documentation. Recommendations are editorial; no numerical priority score is assigned.
Google announced the global rollout on September 24, 2026. It covers Google Lens, Circle to Search on Android, image uploads to Google Search, and Chrome’s right-click “Search this image” feature. Google says sites will start seeing metrics if they receive traffic from these searches. (Google announcement)
For a B2B company or service business, prioritize pages where image-led discovery could help a prospective customer identify a product, assess compatibility or take a commercial next step. High impressions alone do not establish that value.
Find Web: Multimodal in the Search Results Report
In your Search Console property:
- Open Performance → Search results.
- Click the Search type filter at the top of the report.
- Select Web: multimodal.
- Choose your date range and review clicks, impressions and CTR.
- Start with the Pages tab, then inspect Countries, Devices and Dates.
- Click Export to download the chart and table data.
As of October 4, 2026, Google’s help documentation distinguishes the following search types. (Report setup guide)
| Search Type | What It Measures |
|---|---|
| Web: text-based | Traffic originating from text queries entered into the standard Google search bar |
| Web: multimodal | Traffic originating from searches using images, including Lens and Circle to Search |
| Image | Traffic from results shown in the Google Images tab |
Multimodal is not another name for Google Images. Multimodal describes how the search starts; Image describes the results tab where the content appears. Keep those views separate in reporting rather than relabeling Google Images traffic as multimodal traffic.
The Filter Shows Destinations, Not Submitted Images or Queries
The Queries dimension is unavailable for multimodal traffic. Google explains that these searches mostly use images rather than text, so specific text query data is not available. That is an expected reporting limitation, not a broken keyword report. (Dimensions documentation)
A page receiving multimodal clicks gives you a destination to investigate. It does not establish the exact object, image or buyer question that prompted the visit. An explanation such as “people are identifying this replacement part” remains a hypothesis, even when the destination is a replacement-part page.
Also check URL attribution before comparing exports with analytics. Search Console assigns most performance data to the canonical URL, which can differ from the URL the visitor actually reached. (Page attribution guidance)
Use Page-Level Evidence to Choose Content Work
Prioritize Pages That Can Help a Buyer
Sort multimodal pages by clicks. Start with pages connected to products, services or useful identification tasks—not simply those with the most impressions.
For example, an industrial supplier might find multimodal visits reaching a component page. A sensible hypothesis is that visitors need help identifying the part or checking compatibility. Review whether the destination supplies dimensions, model numbers, application details and a clear quote request.
Keep the observation and interpretation separate in your review notes: the page received multimodal clicks; the reason for those visits is not reported. That distinction prevents a plausible buyer need from becoming an unsupported claim about search intent.
Compare the Same Pages With Text-Based Traffic
Use the same dates, country and device settings in both views. Look for pages whose image-led discovery warrants a closer review alongside their text-based performance.
Do not assume a different CTR proves that the image is better or worse. These are different search contexts, and the multimodal report does not reveal the underlying queries. Use the comparison to choose pages for investigation, not to declare causation.
The draft evidence provides no threshold for a “good” multimodal CTR or a minimum click count worth acting on. Judge the page’s relevance to your business and the usefulness of its content rather than applying an invented benchmark.
Improve Images and the Explanation Beside Them
Check that useful images are sharp, load efficiently and sit beside relevant text. Write descriptive alt text without keyword stuffing. Ask your developer to verify that important images use standard HTML image elements rather than CSS backgrounds, which Google does not index. These are established image SEO practices, not a guarantee of Lens visibility. (Google image guidance)
For the component-page example, the content review should address both the visual evidence and the information needed to act on it. A clear photograph does not replace compatibility details; detailed specifications do not make an unhelpful image useful.
Assess Buyer Outcomes Without Claiming Multimodal Attribution
In analytics, review the same landing pages with a Google organic traffic filter. Track quote requests, bookings or demo submissions, then assess lead quality in your CRM.
That comparison provides page-level context; it does not isolate multimodal conversions. Do not assign every organic conversion on those pages to visual search. Google also cautions that Search Console clicks and Analytics sessions will not match exactly. (Measurement guidance)
For a broader measurement structure, use a post-launch content feedback loop that connects discovery, engagement and business value.
Multimodal Is Not a General AI-Search Filter
The multimodal filter describes image-led search input, not all AI Overviews or AI Mode exposure. Google’s launch announcement also says multimodal reporting is being added to the Generative AI performance report. Meanwhile, AI-feature traffic remains included in overall Web performance data. (Launch announcement, AI-feature documentation)
Use the filter to identify visual landing pages that deserve attention. Evaluate the resulting work through the information those pages provide and the qualified inquiries they support, while keeping multimodal discovery metrics separate from page-level conversion evidence.