That calculation is meaningless. It is worth understanding why before anyone sets a quarterly target on it.

What the report actually is

Google announced dedicated generative AI performance reports for Search and Discover on 3 June 2026 and has been rolling them out to a subset of site owners since. The Search version shows impressions from AI Overviews and AI Mode, broken down by page, country, device and date. Experimental Search Labs features are excluded.

What it leaves out is the longer list: queries, clicks, click-through rate, average position, where in the answer your link sat, which passage Google used to build the answer, and anything resembling revenue. In the Search Central announcement Google said it is still working with site owners to decide which metrics to add.

So the report answers one narrow question. Which of your pages appear inside Google generative features, and how often.

Why the share calculation fails

AI impressions divided by total impressions is your own data measured against your own data. There is no market in the denominator. It cannot tell you whether a competitor appears more often, whether query volume grew, or whether AI Overviews simply triggered more this month than last.

There is a second problem. The two impression types are not the same unit. In classic search an impression usually means a listing was put in front of someone for consideration. Inside an AI Overview, a link only counts once it has been scrolled or expanded into view, and the product on the page is the synthesised answer, not your listing. Adding the two together gives you a number, not a meaning.

One more quirk, before anyone accuses Search Console of failing at arithmetic. The chart aggregates at property level, so two of your URLs appearing in a single AI response can count as one impression. The page table may credit each URL separately. Page-level totals will not always add up to the chart total. The dimensions are different, that is all.

The comparison that is actually useful

Here is the version that changes a decision. Take a kitchen fitting company with roughly forty pages. Export the AI-visible URLs for a full month, then pull classic impressions, clicks and average position for the same URLs across the same dates. Put them side by side and look for the mismatches.

Two groups usually fall out. The first is pages that rank well and pick up almost no AI impressions. These are often service pages written as persuasion, where the actual answer to the underlying question sits on line nine behind three paragraphs of positioning. The second group is the interesting one: pages with modest rankings taking a disproportionate share of AI impressions. For that kitchen fitter it was a single page explaining how long a fitted kitchen takes to install, with the answer in the opening sentence and a table of timings underneath. It ranked fifth for a low-volume query and was the most used page on the site.

That is the finding worth acting on. Not “our AI share is 12 percent”, but “the pages Google can lift a clean answer from all look like this, and most of ours do not”.

What can go wrong

The most common error is treating one revision as proof. Change a heading, watch impressions rise three days later, announce that you have reverse-engineered AI Mode. Demand moves, seasonality moves, competing sources move, and Google changes its own systems constantly. A sustained rise over several weeks following a substantial rewrite is evidence. A three-day bump is weather.

The second error is a blended click-through rate across both impression types. You can produce the number. It does not describe anything a human being did.

The third is reaching for the off switch. Google is testing a control that lets a site exclude itself from AI Overviews and AI Mode without leaving classic search. Opting out forfeits both the impressions and whatever traffic those features were sending. Get a baseline first. We looked at how far AI Overview coverage now reaches and the honest answer is that most sites do not yet know what they would be giving up.

When this is not worth your time

If your site collects a few hundred organic impressions a month, this report will not tell you much yet. The sample is too small, and because the rollout is partial an empty report may mean you are not included rather than that you are invisible. Spend the hour on the pages instead.

It also depends on what you sell. If your buyers research through AI assistants before they ever open a browser tab, appearing in a synthesised answer matters even when nobody clicks. If you are a local trade found through a map listing, it matters considerably less, and the time is better spent on reviews.

Editor’s note: This area changes quickly, so check the latest platform policy before making compliance decisions.

The practical next step is small. Export one month of AI-visible URLs, put classic performance next to them, and find the three pages that overperform. Then open those pages and work out what they have in common. That is a morning of work, and it will tell you more than any visibility score ever will.

Update, 7 August 2026: AI Mode queries are in Search Console, just not where you would look

A reporting detail has surfaced that sharpens the point above. AI Mode queries do appear in Search Console, but they sit in the main search performance report, not in the generative AI reports. Google’s John Mueller confirmed the split. The generative AI reports carry impressions, pages, countries and devices, with no query data attached, while the query-level view of AI Mode activity is folded into the standard performance report where it is hard to separate from everything else.

In practice that means the AI impressions number is even less self-contained than it first appeared. You cannot open the generative AI report and ask which questions triggered you, and you cannot open the main report and cleanly isolate AI Mode. The workaround people are using is to look for conversational, question-shaped queries in the main report, which is a heuristic rather than a filter. Treat anything you conclude from it as a hint, not a measurement.

The advice in the original piece stands unchanged. Export the AI-visible URLs, put classic performance beside them, and look at pages rather than numbers. If anything, the reporting split is another reason not to build a target around the impressions figure this year.

The post Google Now Shows Your AI Search Impressions. Here Is What That Number Does Not Mean. appeared first on Mark8ng.com.

Here is what the control actually does, what it quietly takes with it, and why most small businesses arguing about this are arguing about the wrong decision.

What the setting covers

The control lives under Settings in Search Console, labelled Search generative AI. Google is rolling it out to a subset of verified properties, so it may not be in your account yet. Google’s own Search generative AI control documentation is the only source worth trusting on the specifics, because the behaviour has already changed once.

Leave it on the default and your content can appear as links inside AI Overviews, AI Mode, and the generative features in Discover, and it can be used to ground those answers. Switch it to exclude and your site drops out of all of that, links included. Google says it began respecting these changes on 17 June. Processing takes a few days, then content usually falls out within a day or two, though caching can stretch that.

What it does not do matters just as much:

• It is not a ranking signal. Your position in regular search results should not move.
• It does not override Merchant Center or Google Ads. Shopping participation stays a separate decision.
• It does not stop your content being used for AI training. That runs through Google-Extended in robots.txt, which is a different lever entirely.

Those three distinctions catch people out constantly. If your goal is to keep your writing out of model training, this toggle does nothing for you.

The part nobody mentions in the setup guide

Google treats AI features and regular results as separate things. Google’s actual results page does not always agree.

Top Stories carousels have started rendering inside AI Overviews. John Shehata of NewzDash put the rate at roughly 1 in 6 US trending news queries, or 15.5% of tracked results where Top Stories appeared, with the UK figure at 17.46%. His reading is that opting out of AI features will likely pull publishers out of Top Stories when the carousel sits inside an AI Overview.

Two caveats worth holding onto. NewzDash sells news visibility tracking, so it has commercial interest in the finding, and it has not published sample sizes or collection dates. Google has not confirmed how the control handles a traditional feature displayed inside an AI feature. Search Engine Journal covered the full detail of the opt-out trade-offs if you want the longer version.

Still, the principle holds even if the number moves: a property-level switch can remove placements that were never described as AI placements.

You cannot currently measure what you would lose

This is the real problem with the decision.

The generative AI performance report, also rolling out to a subset of accounts, shows impressions from AI features broken down by page, country, device and date. Impressions only. No clicks. No queries. Your analytics can show Google organic referrals, time on site and conversions, but it cannot separate a visit that came from an AI Overview from one that came from a blue link.

So the maths is: unknown traffic value, unknown conversion value, against a change you can reverse but only after several days of processing and caching. The UK’s Competition and Markets Authority has required Google to supply click data and click-through rates, with most of those measures starting in December, and page-level controls by March 2027. Until then you are guessing.

A worked example

Take a six-person accountancy firm in Manchester running a blog on tax deadlines and allowances. Their content is exactly the kind that gets summarised: short factual answers with numbers in them. The partner reads about AI Overviews eating clicks and wants to opt out.

Before touching anything, the useful questions are:

1. Does the property even have the control yet? If not, the decision is theoretical.
2. What does the generative AI report show in impressions, and how does that compare to total search impressions? If AI features are 3% of impressions, this is not where the business is won or lost.
3. What is a blog visit actually worth here? For that firm, a tax-deadline article is not monetised by the pageview. It is monetised when someone reads it, trusts the firm, and calls. Being cited inside an AI answer with a link still supports that. Being absent supports nothing.

That third point is where most of these conversations go wrong.

The uncommon takeaway

The opt-out is a publisher’s tool wearing a webmaster’s clothes.

It makes sense if your revenue comes from impressions on your own pages, because in that model an AI answer that satisfies the user is a direct substitute for your business. That is the situation news publishers are in, and it is why the CMA forced the control into existence.

Most small businesses are not in that model. They sell services, software or products, and their content exists to get them in front of someone who might buy. For those sites, opting out removes a discovery surface and protects nothing measurable. The honest recommendation for the large majority is to leave it alone and spend the same hour on getting cited inside AI answers instead.

What can go wrong

Three things, in rough order of likelihood.

You lose placements you did not know were connected. The Top Stories pattern is the known case. There may be others that nobody has tracked yet, because the boundary between AI surfaces and traditional ones keeps moving.

You cannot prove the decision either way. With impressions-only reporting, you will not be able to show anyone, including yourself, whether opting out helped. That is an uncomfortable position to be in six months later when traffic has drifted for unrelated reasons.

It is all or nothing. The control works at property level. If you have one section of the site where being summarised genuinely costs you and another where visibility helps, you cannot split them until page-level controls arrive in 2027.

This may not be worth thinking about at all if AI features are a small share of your impressions, if you sell something with a considered buying process, or if your property has not received the setting yet.

Editor’s note: This area changes quickly, so check the latest platform policy before making compliance decisions.

What to do this week

Open Search Console and check whether the Search generative AI control and the generative AI performance report exist on your property. If they do, record your current AI impressions figure and today’s date somewhere you will find it again. Then wait. The click data Google has been required to supply starts arriving in December, and that is the first point at which this becomes a decision you can actually make with evidence rather than instinct.

If you find yourself impatient with that answer, ask what you would do differently tomorrow if the numbers came back either way. For most sites, honestly, nothing.

The post Google’s AI Search Opt-Out Is Live. Here Is What You Give Up. appeared first on Mark8ng.com.

The short version: you can now connect your social profiles to Search Console and see how your social content performs in Google Search and Discover. Not how it performs within each platform, that data stays in Instagram Insights, TikTok Analytics, and so on. Just the Google side. But that turns out to be data most social content teams have never had before.

How to connect a platform property

Inside Search Console, you will find a new option to add a platform property alongside the usual domain and URL prefix property types. Select the platform, go through the ownership verification steps (which vary by platform but generally involve confirming your account via Google’s prompts), and the property appears in your dashboard.

You can add multiple platforms as separate properties. Each shows its own Performance report with clicks, impressions, average position, and click-through rate from Google Search and Discover for content from that profile.

One thing worth knowing: it works even if you do not have a website. A TikTok creator with no associated domain can connect their account and see Google performance data. Search Console has always been a website-first tool, so this is a meaningful change in who it is useful for.

The rollout is gradual. If you do not see the platform property option in your account yet, check back in a few weeks, Google confirmed it is rolling out through the summer.

What you can actually see

The Performance report shows which of your posts or videos appear in Google Search results, what search queries are surfacing them, and impression and click data over time. The Insights tab gives a summary view similar to what Search Console provides for websites, top performing content, notable spikes in traffic, that kind of thing.

Discover data also appears in platform properties, but only for profiles that are already getting Discover traffic. If your content has not appeared in Discover before, that section will be empty until it does.

What it cannot tell you

This is worth being clear about before you redesign a reporting dashboard around it.

Search Console covers what happens on Google. It does not show how your content performs within the social platform itself, no follower growth, likes, shares, saves, or in-platform reach. It also does not show traffic from social platforms to your website; that stays in Google Analytics. And LinkedIn is notably absent from supported platforms, at least for now.

Think of it as one window into one specific question: when someone searches Google, how often does your social content appear, and do they click it?

Where this is genuinely useful

The clearest use case is for brands and creators who are already treating social content as a search channel. If you publish YouTube videos optimised around search queries, you can now see exactly which videos are getting Google Search impressions and for which queries, without switching out of Search Console.

For Instagram and TikTok specifically, the data reveals something many content teams do not have visibility on: Google indexes short-form content and sends users to it. For certain content types, product reviews, how-to content, local recommendations, niche tutorials, this is real traffic that has been invisible until now.

A practical way to use this: connect your main platforms, let the data accumulate for four to six weeks, then compare which content types get Google traction versus which ones perform only within the platform. That split tells you something useful about where to spend your optimisation effort. If your YouTube content gets strong Google Search traffic but your Instagram posts do not, the title and description work you do for YouTube matters in a way it probably does not for Instagram.

The honest caveat

Google has indexed social content for years. What changed is that they made the data visible and structured it in a tool marketers already know. The traffic was always there, for some content types, it has been meaningful for a while. This update does not create a new Google channel so much as it surfaces one that already existed.

If you check your platform property data and see zero impressions from Google, that is also useful information. It means your social content is not showing up in Google Search for your audience, which is a signal either about the content type (some content simply does not get indexed) or about how you are writing titles and descriptions.

Social content is search content more often than most teams realise. This tool makes that measurable for the first time, and for SEO and content teams, measurable is the point.

Editor’s note: This feature is still rolling out gradually and interface details may change. Check the Search Console Help Centre for the latest on supported platforms and verification steps.

The post Google Search Console Now Tracks Your Social Content. Here Is How to Use It. appeared first on Mark8ng.com.