Google AI Mode monitoring lets you ask Search to keep watching a topic and alert you when it changes. Announced on 28 September 2026, the feature is rolling out to all users globally in the Google app after first launching for AI Pro and AI Ultra subscribers. This guide shows you how to set up your first alerts, what to monitor first, and how site owners can check the linked Search Console multimodal filter.
What is Google AI Mode monitoring?
Google AI Mode monitoring is a task you set in plain language, and then Search keeps checking for changes for you. According to Search Engine Journal (2026), Robby Stein, Google’s Vice President of Product for Search, announced the wider rollout in a post on X. Search Engine Roundtable reported the same announcement, noting that alerts arrive through the Google app in AI Mode.
In his announcement post, Stein described the feature as follows:
“Just tell AI Mode exactly what to look for & Search will continuously check across changing info on the web like sites, forums and social posts, our real-time data sources, and Shopping Graph of 60B+ products, so you can stay up-to-date with fresh info.”
That Shopping Graph figure, 60B+ products, is Google’s own count as quoted by Stein (Search Engine Roundtable, September 2026). It helps explain why the launch examples focus on shopping and local updates. Google’s examples, as reported by both outlets, are new restaurants or pop-ups opening nearby, local holiday activities to do with children, and back-in-stock and price-drop updates. Search Engine Journal also notes that Search will suggest monitoring tasks while you are searching.
Who can use it, and where do you find it?
You do not need an AI Pro or AI Ultra subscription to try it now, but you do need the Google app and a little patience while the rollout reaches your account. Search Engine Journal reports that Pro and Ultra subscribers had the feature first. Search Engine Roundtable adds a practical caveat: the rollout is happening now, so you may not see it yet, but you should soon.
At Google I/O in May 2026, Google said information agents would launch first for AI Pro and Ultra subscribers during the summer (Search Engine Journal, 2026). The September step widens that idea, under the name “info monitoring capabilities”, to everyone globally. The announcement does not list languages or a completion date, so check AI Mode in the Google app on your phone first. For wider context, see our Gemini Skills Guide: How to Migrate from Gems and our Gemini Free Limits Guide: What Changes Oct 9.
How to set up your first monitoring task
The setup is a conversation, not a settings form: describe the outcome you want, check the task AI Mode creates, then refine it. The demo video described by Search Engine Journal shows a user asking AI Mode to flag weekend pop-ups. AI Mode replies that it has set up a task and lists what it will watch. Use that pattern for your own tasks.
- Open AI Mode in the Google app. Use the phone you want alerts on, because Search Engine Roundtable reports that alerts are triggered through the Google app in AI Mode.
- Write a specific request, not a vague topic. Try this: include what, where and when it matters. For example, “Alert me when [product name, size or colour] is back in stock or drops below [your target price] at UK or US retailers.” Specific scope gives Search less to guess.
- Review the task summary before you confirm. What happens: AI Mode lists what it will monitor. If it has added something you do not want, say so in a follow-up message and ask it to narrow the task.
- Allow notifications for the Google app. Good to know: turn notifications on before you test, not after the first alert should have arrived.
- Test with one low-stakes task first. Try a local opening or a single product alert for a day so you learn what an update looks like and how often it fires.
Search Engine Journal raises an open question here. Stein’s June post said agent updates would include links to the web. The September post does not mention links, and neither post explains how Search chooses sources behind an update. Treat early alerts as a discovery aid, then verify the detail on the retailer or venue page before you buy or travel.
What to monitor first: five high-value tasks
Start with tasks you would otherwise search for repeatedly, because that is the pattern Google designed this for. The table below turns the launch examples into copy-paste starting points. Adapt the brackets to your needs.
| Use case | Example prompt to copy | What Search checks, per Stein (September 2026) |
|---|---|---|
| Price drop | “Monitor [product name] and alert me if the price falls below [amount] at major retailers.” | Shopping Graph of 60B+ products and retailer sites |
| Back in stock | “Alert me when [product name, size/colour] is back in stock in [country].” | Retailer sites and product feeds |
| Local openings | “Tell me when a new restaurant or pop-up opens near [area] this month.” | Sites, forums and social posts, plus real-time data sources |
| Family activities | “Keep me updated on local holiday activities for children aged [ages] near [town/city].” | Local listings, sites and forums |
| Follow-up research | “Watch for updates on [topic] and summarise what changed.” | Changing info on the web, forums and social posts |
Our take: price and restock alerts are the best first test because success is easy to judge. You either get a timely, accurate alert with a working link, or you do not. This guide is desk-validated from Google’s announcement coverage; it is not a hands-on review, and alert quality will vary while the rollout is gradual.
What is Search Console’s new multimodal filter?
On 24 September 2026, Google added a Web multimodal filter to Search Console so owners can separate image-led searches from text searches for the first time. In a launch-week review of 46 accessible properties, SEO consultant Sunny Patel (2026) explains that the Performance report’s Web option now splits into Text-based and Multimodal. According to Google’s announcement as summarised by Patel, multimodal covers Google Lens, Circle to Search on Android, image uploads to Google Search, and Chrome’s “Search this image” command. The same filter is available in Search Console’s Generative AI features report.
Patel notes two limits that shape how you should read the data. First, there is no query data for multimodal traffic, so you work from the Pages tab instead. Second, in the properties Patel checked, data started on 10 September 2026, two weeks before the announcement. Check your own property’s earliest date before comparing periods. For more on how AI features are changing everyday tools, see our guide to ChatGPT Space, Pages and @ChatGPT in Slack/Teams.
What does the first multimodal data show?
In Patel’s small launch-week sample, multimodal traffic was a small, mobile-heavy slice for retailers and close to zero for most content and service sites. For three client retailers over 10–25 September 2026, multimodal impressions were 3,303 for a sports retailer (4.5% share of Web impressions), 5,056 for a hobby retailer (2.6% share) and 171 for a wholesaler (1.2% share) (Patel, 2026). Across Patel’s own 37 sites, the three-month view showed 110 multimodal impressions in total. Those figures are observations from that sample, not an estimate for all websites. More than 90% of multimodal impressions on the three client sites came from mobile, and click-through rate was lower than text in each case. Do not read a multimodal average position around 1.9 as the same achievement as position 1.9 in text results; the layout and intent differ.
How to check multimodal performance in Search Console
Open the Performance report, switch the search type to Web multimodal, then start from Pages, not Queries. Clicks, impressions, click-through rate and average position are available by page, country, device and date, while query data is not (Patel, 2026).
- Open Google Search Console and go to Performance, then Search results.
- Open the search type filter and select Web, then Multimodal.
- Go to the Pages tab and sort by impressions. Note your top image-led landing pages.
- Compare with Web text-based over the same complete days. Good to know: Patel found that, on 27 September 2026, the Search Console API did not list a multimodal search type. If your dashboard pulls Web totals from the API, export from the Search Console interface to see the multimodal figures.
- Record a baseline export by page and date, with the period in the filename. Repeat monthly so you build your own trend line.
Our take: a 20-minute freshness checklist for owners
If monitoring sends more buyers to fresh, accurate pages, the most useful response is boring: keep product and local facts current and easy to verify. This checklist is our original synthesis from Google’s image and product guidance as linked by Patel (2026), plus what the first data shows about product pages and mobile. It is a starting point, not a ranking guarantee.
- Check structured data freshness. Confirm price, availability and key product facts match what a visitor sees on the page. Fix errors in Search Console’s Product snippets and Merchant listings reports first.
- Photograph your own products where you can. Add your own photos from more angles and in real settings, rather than relying only on near-identical manufacturer images.
- Put the main image beside the words that describe it. Use a standard HTML image element, a descriptive filename and factual alt text that says what the product or place is.
- Test top multimodal pages on a real phone. More than 90% of multimodal impressions in Patel’s client sample were mobile. Check load speed and whether price and availability are visible without hunting.
- Compare winners with best sellers. A best-selling product with no multimodal impressions is the first page to improve: better photos, cleaner structured data and clearer on-page text.
Frequently asked questions
Is Google AI Mode monitoring free now?
Yes, for users the rollout reaches. Search Engine Journal and Search Engine Roundtable report that information monitoring in AI Mode is rolling out to all users globally, after AI Pro and Ultra subscribers had it first. The rollout is gradual, so availability varies by account.
Do I need the Google app to use AI Mode monitoring?
Yes, based on the announcement coverage. Search Engine Roundtable reports that you ask AI Mode to monitor a topic and it alerts you through the Google app in AI Mode. Stein also pointed people to the Google app to try the feature (Search Engine Journal, 2026).
What can I ask AI Mode to monitor?
Start with repeated checks: price drops, back-in-stock alerts, new restaurants or pop-ups nearby and local holiday activities for children. Those are the examples Stein gave in the September 2026 announcement. Write the location, product variant and threshold into the request so the task is specific.
Why is there no query data for multimodal searches in Search Console?
Because the search starts with an image, photo or screenshot rather than typed words. Patel’s review of Google’s rollout (2026) notes that the Queries tab shows no query data for multimodal web search. Use Pages, countries, devices and dates instead.
Sources and methodology
This article rests on announcement coverage and a launch-week data review, checked on 6 October 2026. Monitoring behaviour claims come from Google’s announcement as reported by Search Engine Journal and Search Engine Roundtable. Multimodal definitions, dates and figures come from Sunny Patel’s review of Google’s 24 September 2026 Search Central announcement and Patel’s own sample of 46 Search Console properties. Sample figures are described as observations, not population estimates. No hands-on test of monitoring alerts was performed for this guide.
- Google Rolls Out AI Mode Info Monitoring To All Users Globally — Search Engine Journal
- Google Rolls Out Monitoring Capabilities In AI Mode To All — Search Engine Roundtable
- GSC Multimodal Search Filter: What the First Data Shows — Sunny Patel
Arva Rangwala covers AI news, AI tools, guides and prompts for OpenAIMaster — what is new, what is worth using, and how to put AI to work.
Feel free to email us at contact@openaimaster.ai — we are happy to help!


