Google Search Console Updates in 2026

Google Search Console has had a genuinely busy few months. Google has rolled out two updates that, on paper, both promise the same thing: more visibility into where your content is being found and how it performs once it gets there. It’s no secret that the internet is much more interactive than it was even 2 years ago. Social media feeds organic content, which feeds AI which feeds brand visibility and so on and so forth. In practice, one of these new updates delivers real, actionable data. The other is a step in the right direction that, for now, tells you very little you can actually act on.

Here’s a breakdown of both, what they mean for site owners and marketers, and where your priorities should sit.

Platform properties: finally, search data for your social content

On 7 July 2026, Google introduced platform properties, a new property type in Search Console that lets you track how your Instagram, TikTok, X, and YouTube content performs specifically within Google Search and Discover.

This is separate from each platform’s own native analytics. A platform property doesn’t tell you how many views a Reel got inside Instagram; it tells you how many times that Reel showed up in Google Search results, which queries triggered it, and how many clicks it generated from Google specifically. That’s a meaningful gap that’s been missing from most marketers’ toolkits until now.

How it works

Instead of verifying a domain, you authorise Google to connect to an account you control on one of the four supported platforms (Instagram, TikTok, Twitter/X and YouTube). Once connected, you get access to the same reporting structure Search Console already applies to websites:

  • Performance report — total clicks, impressions, and the ability to filter by post or query to see what’s actually driving traffic from Google.
  • Insights report — a higher-level view of trends, top-performing posts, and how people are discovering your account through Search.
  • Achievements — milestone tracking, similar to what’s already in place for website properties.

A few practical points worth knowing before rolling this out for clients:

  • No historical backfill. Data only starts collecting from the point you verify the property, so there’s a case for connecting client accounts sooner rather than later, even before there’s a clear use case for the data.
  • Gradual rollout. Google has said this is rolling out over several weeks, so availability will vary by account for a while yet.
  • It’s additive, not a replacement. This sits alongside your existing website property in Search Console; it doesn’t change how your site ranks or replace standard SEO reporting.
  • Good but not vast coverage. Google is always going to prioritise in terms of its service rollouts and while it’s hit the 4 major platforms, Facebook, LinkedIn and Pinterest are some notable omissions. LinkedIn and Threads will probably come down the line but as always, you never know how much support a Google feature will actually get.

Why this matters for agency work

For clients who lean heavily on short-form video or social content, this closes a real measurement gap. Up until now, if a client asked “does our TikTok content actually get found on Google,” the honest answer was “we don’t really know.” Attribution has always been a major point of contention across channels (particularly with increased restrictions on cookies and cross-platform tracking) and there are always going gaps in our knowledge in terms of whether organic is being fed by social or vice versa. Now there’s a direct, first-party way to answer that question and to justify (or challenge) the resourcing behind a social content strategy using the same kind of query-level evidence we’d use for a website. It’s not perfect and we’d expect the rollout to be relatively slow but it’s an encouraging first step.

Search Generative AI performance reports: useful in theory, thin in practice

The second update landed a month earlier, on 3 June 2026: dedicated Search Generative AI performance reports inside Search Console, giving site owners a standalone view of how their pages appear within AI Overviews, AI Mode, and the generative AI features now appearing in Discover.

Google also introduced a related control at the same time: a toggle allowing site owners to opt out of appearing in, or being used to ground, these generative AI features altogether.

What the report actually shows

  • Impressions — how often your URLs appeared inside generative AI features across Search and Discover.
  • Pages — which specific URLs were surfaced.
  • Countries — a geographic breakdown of AI visibility.
  • Devices — available for Search results.
  • Dates — hourly through to monthly granularity.

This data isn’t new; it was always folded into the overall performance report. What’s new is that it’s now broken out into its own dedicated view, and it’s rolling out gradually (starting with a subset of UK site owners, tied in part to CMA requirements around AI training data controls, before expanding more broadly).

Our take: it’s a visibility report, not a performance report

Let’s be honest about this update. It’s an interesting addition, and it’s clearly the first step in a longer roadmap. But right now, it has limited practical value for marketers, and the reason is simple: there’s no click data, no CTR, and no query-level breakdown.

You can see that your page appeared inside an AI Overview. You can’t see how many people clicked through as a result, what they searched to get there, or whether that visibility translated into any traffic at all. An impression in an AI feature isn’t the same as an impression in a traditional search result because a well-answered AI overview can fully satisfy a searcher’s query without them ever needing to click anywhere. It’s the big contributor to the so-called Zero Click era of Google Search which has greatly impacted the entire search landscape. A page could rack up thousands of AI impressions a month and it tells you almost nothing about whether that’s good or bad for the business. AI is of course important and providing worthwhile metrics to such a wide-ranging sphere is difficult (most tracking and data platforms have given it a go and most of these solutions have major gaps or logical inconsistencies; this is a hard thing to properly quantify, as every result is different). But conversations over AI have often ran into ‘vanity metrics’. Stats that look nice but mean very little. This seems to be yet another example. It’ll look good in a shareholders’ meeting; it’s a nice new chart but you don’t know what the numbers are and you’ve got little chance of making consistent improvements.

Until Google adds query and click (or at minimum, some proxy for traffic impact), this report is closer to a “your content exists somewhere in the AI layer” confirmation than a genuine performance tool. It’s worth checking periodically and worth having as a baseline (particularly given there’s no historical backfill before mid-May 2026), but you shouldn’t be building reporting or strategy decisions around it yet. Google has said additional metrics are coming “over time”, so this is one to keep an eye on rather than one to overinvest in today.

Where I’d focus right now

If you’re managing Search Console across multiple client accounts, here’s the practical order of priorities:

  1. Connect platform properties for any client running an active social or video content strategy, even ahead of a defined reporting use case, simply because there’s no backfill and every week without a connected property is a week of unrecoverable data.
  2. Check for Generative AI report access and enable it where available, purely to start building a baseline. The value of this data will increase once click and query data are added, and having a longer history will make future comparisons more meaningful.
  3. Don’t make opt-out decisions on the AI control lightly. AI is a scary thing right now, and there are many valid reasons to be skeptical or against AI. However, opting content out of AI Overviews and AI Mode removes a growing discovery channel, and it’s one that is going to see very clear investment whether we like it or not. Ethical consumption of AI is something we should all aim for though so it’s important to consider the role of AI in your digital strategy.

Both updates point in the same direction: Google is expanding what Search Console considers “your visibility” beyond the website itself into social platforms on one side and AI-generated answers on the other. In many ways, this is Google slowly catching up to the rest of the marketing world and maybe finally accepting that they aren’t the be-all and end-all anymore. The social tool is an exciting step in the right direction and gives marketers something concrete to work with. The AI side, for now, is a promise of things to come rather than a finished tool, and it’s worth treating it that way until the data catches up with the ambition.

 

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