Tejom Digital Awarded top 10 Advertising Startup for 2022 by Silicon India - Start Up City
Tejom-Digital-Digital-Marketing-Agency- is an registered MSME

आ नो भद्राः क्रतवो यन्तु विश्वतः

Let noble thoughts come from all directions

Google Search Console Multimodal Filter: A Guide to the New Report

On September 24, 2026, Google announced a new way to see how your website performs in image-based search — a “multimodal” filter inside Google Search Console. It is a narrow, technical-sounding update, but it answers a question SEO teams have not been able to answer directly until now: how much of your traffic comes from someone pointing a phone camera at a product, or circling something on their screen, rather than typing a query.

Google Search Console Multimodal Filter - A Guide to the New Report

What Actually Changed

Google’s own Search Central Blog post confirms the new filter appears inside the existing Performance report for Search results, under the “Web” search type, and inside the Generative AI features report. It separates “text-based” search traffic from “multimodal” traffic — search activity initiated through an image rather than typed text. Google states plainly that the feature is “designed to give you insights into how your content is surfaced when users search using images (such as a smartphone camera).”

What Counts as "Multimodal" Search

Per Google’s announcement, multimodal search traffic includes:

  • Google Lens searches, where a user points their camera at an object or photo.
  • Circle to Search on Android, where a user circles part of what’s on their screen to search it.
  • Image uploads directly to Google Search.
  • Chrome’s “Search this image” right-click feature.

The common thread: the search started from a picture, not typed words — which is precisely why the reporting works differently from Search Console’s familiar query-based reports.

What You Can (and Can't) See

The filter shows which of your pages receive multimodal traffic, broken down by country and device, and lets you compare that against your text-based Web traffic side by side. What it does not show is specific text query data for that traffic — because, as Google explains, “multimodal searches mostly use images rather than text,” there is no query string to report in the way a typed search produces one.

A few practical limitations are worth knowing before you go looking for this data:

  • The filter only appears for a property if it is actually receiving multimodal traffic — a low-traffic or newer site may not see it yet.
  • Data can be exported through the Export button, but as of this writing, the Search Analytics API has not been updated with a corresponding multimodal parameter, so this data isn’t yet pullable programmatically.
  • Google has not clarified whether historical data is included, or whether this new split changes how existing “Web” search-type totals are reported going forward.

Why This Matters for Product-Heavy Indian Brands

This feature does not create image-based search — Lens, Circle to Search, and image upload already existed. What it does is give site owners, for the first time, direct visibility into how much of their traffic already comes through that path. For categories where a product is highly visual and recognizable at a glance — fashion, jewelry, watches, home decor, packaged FMCG with distinctive branding — this is a genuinely useful new data point, not a vanity metric. A brand that has never optimized product photography or image metadata with search visibility in mind may discover a meaningful share of traffic is already arriving this way.

With Durga Puja and Diwali both inside the next six weeks, screenshotting a product seen on social media or a friend’s post, then searching it, is a realistic and common festive shopping behavior. This is a high-confidence trend, not a Google-confirmed statistic — no official data ties this specific feature launch to festive shopping behavior in India — but the underlying behavioral pattern (visual product discovery spiking around gifting season) is well established.

What to Actually Do With This

  1. Check whether the filter is showing for your property yet. If it isn’t, that itself is informative — it may mean genuinely low multimodal traffic currently, or simply that data hasn’t populated yet.
  2. If it is showing, compare multimodal versus text-based performance by page, not just in aggregate — some product categories will show a meaningfully different split than others.
  3. Audit image quality and alt text on your highest-traffic product pages. Since there’s no query data to optimize against directly, image clarity, descriptive (not keyword-stuffed) alt text, and structured data remain the practical levers available.
  4. Don’t over-invest based on one report alone. Read this data alongside your existing analytics and search performance measurement, not as a standalone signal to reallocate significant budget.

How This Fits Into the Broader AI-Search Measurement Picture

 

This feature arrives alongside a wider pattern this project has tracked through 2026: Google steadily adding new, narrower measurement surfaces (platform properties for social content in July, and now multimodal reporting for image-initiated search) rather than one unified “AI search performance” dashboard. Each addition answers one specific question well — this one answers “how much of my traffic starts with an image” — but none of them yet gives a single, complete picture of how a brand shows up across text search, AI Overviews, AI Mode, and now image-based discovery. Site owners should expect this incremental, feature-by-feature rollout pattern to continue, and plan to check Search Console’s release notes periodically rather than assuming today’s reporting is the finished picture.

What Remains Genuinely Unclear

Google has not stated how large a share of overall search traffic multimodal search represents, globally or in India specifically, nor has it published India-specific adoption data for Lens or Circle to Search. Treat any specific percentage claim about “how much search is now visual” that does not cite this or another named, verifiable source with caution.

Key Takeaways

 

    • Google announced a new multimodal search-type filter in Search Console on September 24, 2026, covering Google Lens, Circle to Search, image uploads, and Chrome’s “Search this image.”
    • It appears in the Performance report (Web search type) and the Generative AI features report, showing which pages get image-based traffic, by country and device.
    • No query-text data is available for multimodal traffic — there’s no typed query to report.
    • The Search Analytics API does not yet support this data programmatically, and the filter only appears for sites already receiving multimodal traffic.
    • Product-heavy, visually distinctive categories should treat this as a new visibility signal worth checking, not a reason for an immediate strategy overhaul.

Google just gave website owners a way to see something they couldn't before, have you checked?

How much of their traffic comes from someone pointing a phone camera at a product, or circling something on their screen, instead of typing a search. Here’s what the new Search Console “multimodal” filter actually shows — and what it still doesn’t.

A 15-minute session?

Take the first step toward future-proof growth:

  • For a Direct Business Query: Call us at  99034 72194

  • For a Quick Consultation: WhatsApp our team at 79807 31010

FAQs

  1. What is the Google Search Console multimodal filter?
    A new filter, announced September 24, 2026, that separates image-initiated (“multimodal”) search traffic from typed, text-based search traffic in Search Console’s Performance and Generative AI features reports.
  2. Which search behaviors count as “multimodal” under this feature?
    Google Lens searches, Circle to Search on Android, direct image uploads to Google Search, and Chrome’s “Search this image” right-click feature.
  3. Can I see what people searched for when they found my page through an image?
    No. Google states that specific text query data isn’t available for multimodal traffic, since these searches mostly use images rather than typed text.
  4. Where do I find this new filter in Search Console?
    Inside the existing Performance report for Search results, under the Web search type, and inside the Generative AI features report.
  5. Why isn’t this filter showing up for my website yet?
    Google’s rollout is global but the filter only appears for properties that are actually receiving multimodal search traffic — a site with little or no such traffic, or one still waiting for data to populate, may not see it yet.
  6. Can I pull this multimodal data through the Search Analytics API?
    Not yet, as of this writing. The Export button in Search Console supports it, but the Search Analytics API has not been updated with a corresponding multimodal parameter.
  7. Is this the same as the Search Console “platform properties” feature from earlier in 2026?
    No. Platform properties (launched July 2026) report how social and video content on platforms like Instagram, TikTok, X, and YouTube performs in Google Search and Discover. This multimodal filter is about image-initiated search traffic to standard web properties — a different reporting surface entirely.
  8. Does this mean I should redesign my website around visual search?
    Not necessarily, and not based on this feature alone. Use it to check whether meaningful multimodal traffic already exists for your site, and treat image quality, descriptive alt text, and structured data as the practical, low-risk steps worth taking regardless.
  9. Is visual product search actually growing in India specifically?
    No official, India-specific adoption figures for Lens or Circle to Search have been published by Google as of this writing. The general pattern of visual product discovery around gifting seasons is a reasonable, high-confidence assumption, not a confirmed statistic.
  10. Does this filter show data for images in AI Overviews or AI Mode?
    It appears in the Generative AI features report as well as the standard Web Performance report, per Google’s announcement, though Google’s own description focuses on multimodal Web search reporting rather than a full breakdown of AI Overview-specific image citations.
  11. What should an SEO or marketing team do this week about this feature?
    Check Search Console for the new filter on your key properties, and if it’s showing, review your highest-traffic product or catalog pages for image quality and alt-text completeness — a low-effort, no-downside first step regardless of how much multimodal traffic you currently see.

#TejomDigital #SEO #GoogleSearchConsole #VisualSearch #TechnicalSEO #GoogleLens #AISearch #SearchConsole #DigitalMarketingIndia #EcommerceSEO #GEO

CTV Programmatic Streaming Ads: The New Era
The 250-Word Marketer
Naina Adhikari

CTV Programmatic Streaming Ads: The New Era

Discover how CTV programmatic streaming ads bridge programmatic precision and big-screen impact. Learn how brand leaders capture silent-scroll audiences using 3-second hooks, kinetic typography, and omnichannel retargeting.

Read More »

Cheap Agencies, Costly Mistakes: How Unlicensed Content Can Tank Your Brand

In an era where digital content moves at breakneck speed, cutting corners with budget agencies or unvetted freelancers can invite catastrophic legal liability. This ready reckoner breaks down how unlicensed stock photos, stolen vectors, and unverified media assets can result in hefty copyright penalties under Section 63 of the Indian Copyright Act, forced rebrands, and lasting reputational fallout.

Read More »