Google Quietly Admitted Your Search Data Has Been Wrong for Nearly a Year. Here’s What That Actually Means.

by | Jun 25, 2026 | Blog

The views expressed in this post are those of the author. All claims are based on publicly available reporting and Google's own official disclosures. JAM Agency has no affiliation with Google or any platform referenced here.

On April 3, 2026, Google updated a page on its website called "Data anomalies in Search Console."

It's not exactly required reading. Most people have never visited this data anomalies page. But what Google disclosed there, in a handful of sentences, is one of the most significant data quality admissions in the history of search marketing.

And almost nobody noticed.

What Google Said

Here's the statement, in full:

"A logging error is preventing Search Console from accurately reporting impressions from May 13, 2025 onward. This issue will be resolved over the next few weeks; as a result, you may notice a decrease in impressions in the Search Console Performance report. Clicks and other metrics weren't affected by the error, and this issue affected data logging only."

That's it. Forty-seven words. A page update, not a press release. No email to site owners. No prominent announcement. Just a quiet correction to a technical document most people never read.

What those forty-seven words mean: Google Search Console, the primary tool that virtually every website owner, SEO professional, and marketing agency uses to measure organic search performance, was reporting inflated impression data for nearly eleven months. From May 13, 2025 through late April 2026.

Eleven months of wrong numbers. Used by millions of businesses to make decisions about their marketing, their content, their budgets, and their teams.

Let's Make Sure We Understand What Was Actually Broken

Google was quick to say clicks weren't affected. Your traffic data is fine. But impressions are not a minor metric. They are the foundation of how organic search performance is measured, reported, and understood.

Here's why that matters.

Impression counts drive CTR calculations. Click-through rate is clicks divided by impressions. If the denominator was inflated for eleven months, every CTR number in your Search Console reports was artificially depressed. A page that appeared to be performing at a 0.4% CTR may have actually been performing at 0.6% or higher. That difference changes which pages you prioritize, which title tags you rewrite, which content you decide to abandon.

Impression trends drove industry-wide narratives. Throughout late 2024 and 2025, the SEO industry observed a consistent pattern: impressions rising while clicks stayed flat. The near-universal interpretation was that AI Overviews were satisfying queries directly on the search results page, eliminating the need for users to click through. Studies were published. Strategies were revised. Agency pitches were rewritten. "AI is killing your organic traffic" became the dominant story in search marketing.

Some of that story is true. AI Overviews do affect click behavior. But the measurement was contaminated. The impression inflation was running during the exact period when that narrative was being built. How much of the "Great Decoupling" was a real behavioral shift, and how much was a logging error? Google hasn't said. The honest answer is: we can no longer tell.

The distorted data is permanent. This is the part that doesn't get enough attention. Google fixed the logging error going forward. But the inflated historical data stays. It won't be reconstructed retroactively. John Mueller confirmed this. Which means any year-over-year impression comparison that spans May 2025 through April 2026 is comparing accurate data against inflated data. You won't have a clean year-over-year comparison on both sides of this window until May 2027.

It Gets More Complicated

The logging bug wasn't the only distortion running during this period. There were three simultaneous problems, and understanding all three matters.

The bot scraper inflation. Starting around February 2025, bots began exploiting a Google search parameter called &num=100, which allowed queries to return 100 results per page instead of the standard 10. Every one of those bot queries registered as 100 impressions in Search Console rather than 10. Impression counts were artificially inflated across the industry. On September 12, 2025, Google disabled the parameter. Impressions fell 30 to 70 percent overnight, alarming marketing teams who had no idea what they were looking at. The bot inflation and the logging bug were running simultaneously from May through September 2025. Two separate distortions, layered on top of each other.

The AI Mode data merge. On June 17, 2025, Google began counting AI Mode clicks, impressions, and position data toward totals in the Search Console Performance report. AI Mode is a fundamentally different search experience than traditional organic results. But Google merged the data into the existing "Web" category with no label, no filter, and no way to separate it. As of mid-2026, there is still no native way to isolate AI Mode data in Search Console. Every "Web" total from June 2025 onward includes surfaces that didn't exist in 2024, blended in without disclosure.

So to be precise: from roughly May 2025 through April 2026, Google Search Console impression data was simultaneously inflated by a logging error, inflated by bot scraper activity (until September), and contaminated by the addition of a new search surface that wasn't separately labeled. Three distortions. One number. Used by essentially everyone.

What This Means for Your Venue or Events Business

You may not be running weekly SEO reports. You may not have been tracking Search Console impressions closely. But if you have a marketing agency, an SEO provider, or anyone reporting on your digital performance during this period, their reports were built on these numbers.

That means any report from roughly May 2025 through April 2026 that cited impression growth, visibility trends, or CTR performance should be treated with significant caution. Not because your agency did anything wrong. Because the data source was wrong, and the data source is Google.

A few specific situations worth checking:

If your agency told you impressions were growing during this period, that growth was at least partially artificial. The real question is whether clicks grew, because click data was accurate throughout.

If your agency told you your CTR was declining, or that AI Overviews were hurting your performance, that conclusion was drawn from a corrupted denominator. It may have been true. It may have been the bug. There's no longer a way to know for certain from Search Console data alone.

If your agency used impression data to justify a content strategy pivot, a budget reallocation, or a decision to pause certain marketing activities, that decision deserves a second look now that we know what we know.

None of this is your agency's fault. The error was Google's. The disclosure was Google's. The impact falls on everyone who relied on the tool.

The Deeper Issue

Here's what I keep coming back to.

The SEO industry spent the better part of a year building a consensus narrative about AI's impact on organic search, based on a metric that was wrong. The "alligator effect" (impressions rising while clicks stayed flat) became the defining visual of the AI search transition. Countless strategies were built around it. Some of those strategies were probably correct. Some were chasing a measurement artifact.

We genuinely can't go back and separate them now.

Google's forty-seven word disclosure didn't include the magnitude of the inflation. It didn't explain why it took eleven months to identify and disclose. It didn't estimate how many businesses were affected or offer guidance on which decisions should be revisited. It updated a page. The SEO community pieced together the implications from independent research.

That's the disclosure standard for a tool that millions of businesses depend on. A page update.

I'm not saying this to alarm you. Clicks were accurate. If your traffic was growing, it was growing. If your marketing was driving real results, it was. The click data and Google Analytics sessions are the numbers to trust.

But the impression story, and everything built on it, needs to be held loosely right now. And anyone presenting you with year-over-year visibility reports spanning this window without acknowledging the data quality issue is either unaware of it or choosing not to tell you.

What to Do Right Now

Anchor to clicks, not impressions. Clicks and actual GA4 sessions weren't affected by any of the three distortions. If you want to understand your organic search performance during the affected window, clicks are the reliable signal.

Annotate your dashboards. Mark May 13, 2025 and April 27, 2026 as data quality boundaries. Any trend analysis crossing those dates should carry a note that impression-based metrics are unreliable for that period.

Hold year-over-year impression comparisons until 2027. You won't have clean data on both sides of the window until May 2027. Until then, YoY impression comparisons aren't meaningful.

Ask your agency what they knew and when. Not as an accusation. As a reasonable question. A good agency should've caught this disclosure in April and flagged it to clients immediately. If they haven't mentioned it, bring it up. Any good agency should be able to walk you through it.

Consider what decisions were made on impression data. If any significant strategic or budget decisions from mid-2025 onward were based on impression trends or CTR analysis, it's worth revisiting them with accurate click data as the benchmark instead.

The Bottom Line

For nearly eleven months, Google Search Console was reporting impression numbers that were too high. CTR numbers derived from those impressions were too low. Industry narratives about AI's impact on search behavior were built on those numbers. Strategies were adjusted. Budgets shifted. And on April 3, 2026, Google updated a page most people never read.

Here are the three dates every marketer, every agency, and every business owner needs to write down right now:

May 13, 2025 — the date your impression data became wrong. Every Search Console impression number from this date forward through April 2026 is inflated. Every CTR calculated from those impressions is artificially low. Every visibility trend built on those numbers is unreliable.

April 27, 2026 — the date your impression data became correct again. This is your new baseline. Impressions reported from this date forward can be trusted. Everything before it cannot.

May 2027 — the earliest date you can do a clean year-over-year impression comparison. That's when you'll finally have twelve months of accurate data on both sides of the window. Until then, year-over-year impression comparisons are meaningless. Use clicks. Use GA4 sessions. Use conversions. Anything but impression-based metrics spanning this window.

Let that sink in for a second. Nearly two full years will pass before anyone can do a reliable year-over-year impression comparison again. Two years of SEO reporting, visibility analysis, and content strategy decisions made unreliable by a logging error that Google knew about for eleven months before quietly disclosing it in forty-seven words on a page most people never read.

The click data is fine. The traffic data is fine. But if your understanding of your search performance during this period was built on impressions, it's time to look at it again with click data as your anchor.

If you're not sure where to start, or if you want to understand how your venue is actually showing up in search and AI results right now, that's exactly what our free AI visibility snapshot is designed to help with. No GSC access required, no impression data needed.

Start with a free AI visibility snapshot at thejamagency.com/visibility-audit. Find out where you actually stand.

Sources:

Google Ads Is Probably Losing You Money. Here’s What to Do About It.

by | Jun 9, 2026 | Blog

Most Google Ads campaigns for venues are structured to benefit the platform, not the venue. Here's what's actually happening and how to fix it.

I've been managing Google Ads campaigns for more than a decade, including time on the agency side at Microsoft Bing Ads working with major brand accounts. I've hired and evaluated dozens of Google Ads managers over that time. And in that decade, across every industry I've worked in, the same pattern shows up with remarkable consistency:

Most Google Ads accounts are being managed in a way that benefits the platform more than the business paying for it.

That's not an accident (or laziness!). Google's advertising platform is designed to spend your budget. The default recommendations, automated bid strategies, broad match settings, and Smart Campaigns are all engineered to maximize spend. A manager who follows Google's defaults without pushing back is not managing your account; they're approving Google's preferences on your behalf.

For venues, this is compounded by an industry where Google Ads expertise is genuinely rare. Most venue marketing budgets touch Google Ads at some point but very few have someone at the wheel who knows the account at the granular level.

WHAT CHANGED (AND WHY IT MATTERS NOW)

Google's AI model family, Gemini 3, launched in November 2025, and Google has been folding it more deeply into Smart Bidding ever since. That part isn't in dispute. What Google has actually named and documented, on its own Ads and Commerce Blog, are specific features: journey-aware bidding, Smart Bidding Exploration, and demand-led pacing, rolled out in phases through 2026. There's no single branded "bidding infrastructure" Google has announced; the honest version is that the underlying AI has been getting more capable and more central to how bids get set, in named, incremental steps, not one clean cutover.

What is true, and worth taking seriously regardless of the specific mechanism: accounts going through any bidding system transition tend to do better when they have clean conversion tracking, strong negative keyword lists, and campaign structures built around real business goals instead of Google's default templates. If your Google Ads performance shifted in ways you can't explain sometime in the last year, that's worth investigating on its own terms, not because a specific "Gemini 3 transition" definitely caused it, but because messy tracking and default settings make any account more exposed when the underlying systems change.

THE THINGS THAT DRAIN VENUE BUDGETS

Here are the specific things that I commonly see wasting spend:

  • Broad match keywords without tight negative lists. Broad match tells Google to show your ad for any query it considers related to your keyword. Without aggressive negative keywords, that means your "live music venue Nashville" campaign may be spending on searches for "live music streaming Nashville," "Nashville venue wedding DJ," or "Nashville venues for rent furniture." All technically related; none of them the customer you want.
  • Smart Campaigns and Performance Max without proper exclusions. These campaign types are designed for advertisers who want to hand control to Google entirely. They can work but they can also burn through budget on irrelevant placements with no transparency about where the money went. For most venues, a well-structured Search campaign with manual or target CPA bidding will outperform a set-it-and-forget-it Performance Max campaign.
  • Conversion tracking that doesn't match business reality. If your campaign is optimizing toward a conversion action that doesn't actually reflect a customer, you're training Google's algorithm on the wrong signal. For venues, this often means optimizing for page visits or form opens rather than actual ticket purchases or inquiry submissions.
  • No geographic or daypart controls. Are your ads running at 3am in cities three states away with no prospect of that fan driving to your venue? Default settings often say yes. These are easy wins that many accounts haven't addressed.

WHAT STILL WORKS, AND FOR WHOM

Google Ads isn't inherently wrong for venues but it's not doing you any favors when the account is set up wrong and left alone. The campaigns that consistently deliver for venues tend to be built around specific, high-intent queries rather than broad category terms. They have conversion tracking tied to a real action (ticket purchase, box office call, inquiry form submission), they're reviewed and adjusted monthly by someone who reads the search term report, and the budget is set with an honest view of what a new customer is actually worth.

For ticketed events specifically, Google Ads can be effective when you're promoting a specific show with a defined date and a known ticket price. You know your audience, you know your geography, you know your conversion window. That's a manageable campaign with a measurable return. A perpetual "live music venue Nashville" campaign running at $500 a month with default settings and no conversion tracking is not.

The question to ask your current manager, or yourself: what is the campaign optimizing toward, and how do we know when it's working? If the answer is impressions, clicks, or a Google-recommended metric you don't fully understand, that's the conversation to have before you spend another dollar.

Post 11 goes a level deeper on this, specifically on how to read your vendor's monthly report without either taking it at face value or going off the rails trying to audit it with tools you weren't given a foundation to use.

Local Search Changed. Is Your Venue Ready?

by | Jun 8, 2026 | Blog

Local search for venues didn't just get harder; it got restructured. Your Google Business Profile still matters, it just shows up somewhere different now.

My team ran a test recently. We searched for live events and venue recommendations from three different states, using the kinds of queries fans actually type: "live music venues near me," "concert venues in [city] this weekend," "good small venues for live music in [city]." We compared what we saw.

Not one of us saw what we expected. The traditional Google map pack, that familiar block of three business listings with ratings and directions, was largely absent from the results. What we saw instead was a mix of AI-generated overviews, editorial lists pulled from local blogs and aggregators, and in some cases a new-format local result that looked nothing like the map pack we've been optimizing for since 2012.

We weren't imagining it. This is a documented and measurable shift, and it has real consequences for how venues think about their Google presence.

WHAT ACTUALLY REPLACED THE MAP PACK

Google's AI Mode, combined with its May 2026 core update, has significantly changed the local search experience for discovery queries. Researcher Joy Hawkins at Sterling Sky tracked this directly: AI local packs now surface roughly 5,900 unique businesses across the same query sets where traditional map packs had surfaced more than 18,000. The new format shows one or two businesses, not three; it integrates with AI-generated summaries rather than sitting as a standalone unit; and it omits the call button entirely.

To put that plainly: the format that used to give thousands of venues a shot at appearing in local search results now has room for a fraction of them. The ones that make it in aren't necessarily the highest-rated or the most established; they're the ones whose profiles give Google's AI enough structured, trustworthy information to feature with confidence.

"The format used to give thousands of venues a shot. Now it has room for a fraction of them."

SO DOES YOUR GBP STILL MATTER?

Yes, significantly. The format changed; the underlying importance of your Google Business Profile did not. If anything, it matters more now, because GBP data is one of the primary inputs Google's AI uses when generating local answers. A complete, current, actively managed profile feeds directly into whether your venue gets cited in an AI Overview, surfaces in the new AI local pack format, or appears when someone asks Google a specific question about your venue.

What's changed is where you'll see it working. You may not see a familiar map pack listing anymore on discovery queries. What you will see, if your profile is doing its job, is your venue showing up inside AI-generated answers, in Google Maps results for navigational searches, and in the knowledge panel that appears when someone searches your venue by name.

WHAT A WELL-OPTIMIZED GBP LOOKS LIKE IN 2026

The basics have always mattered and still do: accurate name, address, and phone number; correct category (Music Venue is a specific category, and it's worth using); consistent hours; a real description written for a human reader, not keyword-stuffed. Those haven't changed.

What carries more weight now:

  • Events posted directly to your GBP. Google has an events feature within Business Profiles that almost no one uses consistently. In a world where AI is synthesizing answers about what's happening locally, having your events in Google's own ecosystem is a meaningful signal. It takes five minutes per show to add.
  • Recent, responded-to reviews. Review recency and response rate now factor into both traditional local ranking and AI citation probability. Responding to every review, including the negative ones, is no longer optional if you want AI to treat your venue as an active, credible business.
  • Photos that are current and categorized. Google uses image content as part of its understanding of what your venue looks like and what kind of experience it offers. Old or thin photo libraries send a signal you probably don't intend.
  • Q&A populated by you, not left for strangers. The Q&A section of your GBP is publicly editable. If you haven't answered the common questions, someone else may have, and their answers are what AI reads.

THE HONEST BOTTOM LINE ON WHAT WE SAW

The test my team ran wasn't alarming so much as clarifying. The old format is being replaced by something new, and the venues that will do well in it are the ones that treat their GBP as a living document rather than a one-time setup. Google is reading it more carefully than ever; it's just showing the results in a different place than you're used to looking.

A quick audit for your own profile: search your venue name on Google right now. Look at what appears in the knowledge panel on the right side of the page. Is the information accurate? Are your hours current? Do you have events listed? When was the last photo added? That panel is a direct window into what Google's AI knows about you.

Post 6 covers the next layer underneath all of this: structured data, what it is, whether your venue has any, and what it's actually doing for you if you do.

Google AI Mode Isn’t the Future. It’s What Search Became Last Month.

by | Jun 8, 2026 | Blog

Everyone's been warning venues about AI for two years. Here's what actually changed and why the timing matters more than the trend.

I want to make a distinction that I think gets lost in most of the AI and marketing conversation: there's a difference between AI as a general technological trend and AI as something that changed how your potential customers find you this month.

The trend conversation has been going on for years. The second thing happened in May 2026, when Google completed its core update and fully deployed what it calls AI Mode, a version of search where, for a wide swath of queries, the answer to what someone types is no longer a list of links.

It's a generated response, written by Google's AI, that may or may not include a citation to your website.

WHAT ACTUALLY CHANGED

For most of the internet's history, search worked the same basic way. You typed something in, Google matched your words to pages it had indexed, and returned a ranked list of links. The entire discipline of search engine optimization (SEO) was built around influencing that ranking. Get your page high enough, people click it, they arrive on your site.

That model isn't gone. But it's no longer the primary experience for a large and growing category of searches. When someone types a question or a discovery query into Google today, something like "best small concert venues in Denver" or "outdoor event spaces near me this weekend" for example, they're increasingly getting an AI-generated answer at the top of the page before they ever see a list of links.

That answer was written by Google. Google decided what to include and whose information to trust. And critically, Google decided whether your venue was worth mentioning.

HOW AI SEARCH DECIDES WHAT TO SAY

Traditional search asked: does this page contain the right keywords, have enough credibility signals, and load fast enough?

AI search asks: do I understand this entity well enough to describe it accurately? Do enough trustworthy sources corroborate what this venue says about itself? Is the information consistent, current, and structured in a way I can actually read?

This is where some operators run into trouble because the infrastructure most venues have built over the last decade was designed for the old model. A combination of a good-looking website on Squarespace, a Facebook page with event listings, and a Ticketmaster or Eventbrite widget for tickets worked fine for a world where Google was matching keywords to pages. It works less well for a world where AI is trying to build a coherent picture of who you are and what you offer.

The signals AI search relies on are things like:

  • Structured data on your site that explicitly tells crawlers what type of business you are, what events you're hosting, and when they happen
  • Consistent information about your venue across third-party platforms with the same name, address, and description everywhere it appears
  • Content on your site that AI can actually read (more on why this is a problem in the next post)
  • Citations from credible sources that establish your venue as a real, active entity in your market

None of this is magic. It's a set of technical and content decisions that either are or aren't in place. Most venues are somewhere in the middle with a few things done, a few missing, some things actively working against them without anyone knowing it.

THIS IS NOT A REASON TO PANIC

I want to be careful here, because a lot of the AI and marketing content out there is written to produce anxiety. The message usually implies everything you've done is wrong, the algorithms are against you, and you need to buy something to fix it. I don't think that's true or useful.

What's true is that the rules changed, the change was significant, and it happened fast. What's also true is that the venues with the most to gain from this shift are independent operators. Not the big chains with corporate SEO teams, but the places that are genuinely part of their communities and have real things to say about what they do and who they host. AI search rewards specificity, authenticity, and depth. Those are things an independent venue can actually build.

The rest of this series walks through exactly what that looks like in practice from whether your site is technically readable by AI, to your Google Business Profile's new role, to the platforms that are actually feeding event data to AI search right now. You don't have to do everything at once. But you do need to know what you're working with.

Start with the question: does the AI version of Google know my venue exists, understand what we do, and trust what we say about ourselves?

If you're not sure, that's what the rest of this series is here to answer.