Amazon Experiences Drop In Google Search Visibility via @sejournal, @martinibuster

New data from the Audience Key content marketing platform indicates that Amazon’s visibility has suffered a significant drop. The decline follows two changes Amazon made to its presence in Google Shopping, although it is uncertain whether those changes are direct or indirect causes.

The first change was the discontinuation of its paid Shopping ads, and the second was the consolidation of its three merchant store names (Amazon, Amazon.com, and Amazon.com – Seller) into a single store identity, “Amazon.” These changes appear to have had a measurable effect on how often Amazon product cards appear in Google’s organic Shopping results.

Audience Key is a content marketing platform that fills a gap in competitive intelligence by tracking and reporting on Google’s organic product grid rankings at scale. This is a new product that has recently rolled out.

According to Audience Key:

“Across 79,000+ keywords, Audience Key’s first-of-its-kind tracking showed the effects of Amazon’s changes to its merchant feed — the approach initially wiped out 31% of its organic product card rankings. Weeks later, Amazon has now disappeared completely — creating a seismic shift that is immediately reshaping e-commerce SERPs and freeing up prime shelf space for rivals.”Tom Rusling, founder of Audience Key notified me today that Amazon has subsequently completely dropped out of the organic search results, beginning on August 18th.

Anecdotally, I’ve seen Amazon completely dropped out of Google’s organic product grids, including for search queries I know for certain they used to rank for and are now completely gone from the search engine results pages (SERPs).

Overall Impact

The most immediate change was the overall scale of Amazon’s presence. Before July 25, Amazon’s listings appeared in 428,984 organic product cards. After the change, that presence dropped to 294,983.

  • Before July 25: 428,984 product cards
  • After July 25: 294,983 product cards

Net change: -134,001 cards (31% decline)

This shows that Amazon’s move was not just a brand consolidation but also a large reduction in visibility. It is possible that the brand consolidation triggered a temporary drop in visibility because it’s such a wide-scale change.

Category-Level Changes

The reduction was not spread evenly. Some product categories were hit harder than others. Apparel had the steepest losses, while categories like Home Goods and Laptop Computers also fell sharply.

Smaller categories such as Tires and Indoor Decor declined more moderately, but all showed the same downward trend.

Apparel Category Experiences The Largest Declines

Apparel stands out as the category where Amazon saw the steepest reductions, with its presence cut by more than half across several tracked segments.

Below is the data I currently have, I’m waiting for clarification from Audience Key about whether the following apparel categories are more specific:

  • Apparel: 4,571 → 1,804 (-60%)
  • Apparel: 4,503 → 1,859 (-59%)
  • Apparel: 31,852 → 13,632 (-57%)
  • Apparel: 6,932 → 3,029 (-56%)

Several Other Major Categories Affected

The losses were also large in high-volume categories. Home Goods, Laptop Computers, and Outdoor Furnishings all saw reductions, while Business Supplies and Technology products also suffered visibility declines.

  • Business Supplies: 12,510 → 9,786 (-22%)
  • Home Goods: 133,717 → 73,833 (-45%)
  • Laptop Computers: 30,520 → 19,615 (-36%)
  • Outdoor Furnishings: 58,416 → 41,995 (-28%)
  • Scientific and Technology: 58,880 → 50,666 (-14%)

Smaller Categories Also Affected

Even niche verticals were affected, though the percentage losses were less severe than in Apparel or Home Goods. These declines show Amazon’s reductions were spread across both major and smaller categories.

  • Structures: 6,241 → 4,229 (-32%)
  • Tires: 3,063 → 2,609 (-15%)
  • Indoor Decor: 23,634 → 19,789 (-16%)
  • Indoor Decor (variant): 6,626 → 5,926 (-11%)

Merchant Store Consolidation

Another change came from how Amazon presented itself in Shopping results. Before July 25, the company appeared under three names: Amazon, Amazon.com, and Amazon.com – Seller. Afterward, only the unified “Amazon” label remained.

  • Total before consolidation (all three names): 428,984 product cards
  • After consolidation (single “Amazon”): 294,980 product cards

This simplified Amazon’s presence by unifying it under one name, but it also coincided with a decline in overall coverage.

Where Amazon Is At Today?

Even with the July drops in visibility, Amazon remained the most visible merchant in Google Shopping, with smaller visibility than before. But that’s not longer the case, the situation for Amazon appears to have worsened.

Audience Key speculated on what is going on:

“We thought the first chapter of this story was complete, but just as we prepared this study for publication, everything changed. Again. Our latest U.S. search data reveals a stunning shift: Amazon vanished from the organic product grids.

Whether this is a short-term anomaly or a more permanent new normal, only time will tell. We will continue to monitor and report on our findings. The sudden removal leaves us — and the industry — asking one big question: WHY???

That is certainly a topic for speculation.”

Audience Key speculates that Amazon may be withholding their product feed from Google or that this is a technical or strategic change on Amazon’s part.

One thing that we know about Google organic search is that large-scale changes can have a dramatic impact on search visibility. Audience Key has a unique product that is focused on tracking Google’s product grid, something that many ecommerce companies may find useful. They are apparently well-positioned to notice this kind of change.

Read Audience Key’s blog post about these changes:

Beyond Paid: The Hidden Organic Shockwave from Amazon’s Google Shopping Exit

Featured Image by Shutterstock/Sergei Elagin

Google Retiring Core Web Vitals CrUX Dashboard via @sejournal, @martinibuster

Google has announced that the CrUX Dashboard, the Looker Studio-based visualization tool for CrUX data, will be retired at the end of November 2025. The reason given for the deprecation is that it was not designed for “wide-scale” use and that Google has developed more scalable alternatives.

Why The CrUX Dashboard Is Being Retired

The CrUX Dashboard was built in Looker Studio to summarize monthly CrUX data. It gained popularity as Core Web Vitals became the de facto standard for how developers and SEOs measured performance.

Behind the scenes, however, the tool struggled to keep up with demand. According to the official Chrome announcement, it suffered “frequent outages, especially around the second Tuesday of each month when new data was published.”

The Chrome team concluded that while the dashboard showed the value of CrUX data, it was not built on the right technology.

Transition To Better Alternatives

To address these issues, Google launched the CrUX History API, which delivered weekly instead of monthly data, allowing more frequent monitoring of trends. The History API was faster and more scalable, leading to adoption by third-party tools.

In 2024, Google introduced CrUX Vis, which was more scalable and faster. Today, in 2025, CrUX Vis receives four to five times more users than the CrUX Dashboard, showing that users are increasingly moving to the newer tool.

What the Change Means for Users

Chrome will shut down the CrUX Connector to BigQuery in late November 2025. When this connector is removed, dashboards that depend on it will stop updating. Users who want to keep the old dashboard will need to connect directly to BigQuery with their own credentials. The announcement explains that the CrUX Connector infrastructure is unreliable and requires too much monitoring to maintain, which is why investment has shifted to the History API and CrUX Vis.

Some users have asked Google to postpone the shutdown until 2026, but the announcement makes it clear that this is not an option. Although the dashboard and its connector will be retired, the underlying BigQuery dataset will continue to be updated and supported. Google stated that it sees BigQuery as a valuable, longer-term public dataset.

Check out the CrUIX Vis tool here.

Read the original announcement:

CrUX Dashboard deprecation

Google Ads Rolls Out New Creative & Omnichannel Tools via @sejournal, @MattGSouthern

Google is rolling out creative and omnichannel updates across Ads and YouTube.

The tools are designed to help you keep assets fresh, connect store and online demand, and plan spend across key shopping windows.

What’s New

Creative: Asset Studio, Product Studio, And Imagen 4

A new suite of generative tools is coming to Asset Studio, with asset generation in Performance Max and Demand Gen powered by Imagen 4.

In Product Studio, you’ll be able to swap product scenes at scale, replace backgrounds, turn images or text into short videos, and get proactive campaign concept suggestions.

See an example of a campaign concept suggestion below:

Image Credit: Google

Google says the new tools can speed up testing while keeping brand direction intact.

Omnichannel & YouTube

Demand Gen can now optimize for total sales across online, in-app, and in-store conversions. You can also use local offers to show nearby shoppers in-store promotions.

On YouTube, a Creator partnerships hub is meant to simplify brand-creator collaborations, and the YouTube Masthead is now shoppable so you can feature specific products tied to your goals.

Insights And Budgets: Plan 3–90 Day Bursts

New AI-powered insights in Google Merchant Center aim to surface actionable tips. Google is also expanding campaign total budgets from Demand Gen and YouTube to include Search, Performance Max, and Shopping.

You can set a start date, end date, and a total budget for periods between 3 and 90 days, and Google’s systems will pace spend to match peaks in demand.

Loyalty: Member-Only Offers

Google is introducing loyalty features that let you display member-only pricing and shipping benefits, with retention goals available in loyalty mode for Performance Max or Standard Shopping.

Looking Ahead

If your holiday plan spans multiple bursts, these tools can help you keep creative fresh, capture store demand, and avoid end-of-month pacing surprises.

Start by aligning product feeds and assets, then test omnichannel optimization and short budget windows around your key dates.

Google AI Max For Search Goes Global In Beta via @sejournal, @MattGSouthern

Google’s AI Max for Search campaigns is now available worldwide in beta across Google Ads, Google Ads Editor, Search Ads 360, and the Google Ads API.

AI Max packages Google’s AI features as a one-click suite inside Search campaigns. New built-in experiments allow you to test the impact with minimal setup.

Image Credit: Google

What’s New

One-Click Experiments

AI Max is positioned as a faster path to smarter optimization inside Search campaigns.

New one-click experiments are integrated in the campaign flow, so you can compare performance without rebuilding campaigns.

Availability spans all major surfaces, including the API for teams that automate workflows.

How The Built-In Experiments Work

AI Max experiments are run within the same Search campaign by splitting traffic between a control (with AI Max off) and a trial (with AI Max on).

Since the test doesn’t clone the campaign, you’ll avoid sync errors and can ramp up faster. Once the experiment ends, review the performance and decide whether to apply the change or discard it.

Controls You Can Tweak During A Test

By default, your experiment starts with Search term matching and Asset optimization enabled, but it’s easy to customize these settings.

You can choose to turn off Search term matching at the ad group level or disable Asset optimization at the campaign level if that better suits your goals.

For more control over your landing pages, consider using URL exclusions at the campaign level and URL inclusions at the ad group level.

Brand controls are also available for added flexibility: you can set brand inclusions or exclusions at the campaign level, and specify brand inclusions within ad groups.

The “locations of interest” feature at the ad group level offers more geographic targeting precision.

Reporting Surfaces

Results appear under Experiments with an expanded Experiment summary.

AI Max also adds transparency across reports. These include “AI Max” match-type indicators in Search terms and Keywords reports, plus combined views that show the matched term, headlines, and landing URLs.

Auto-Apply Option

If you want, you can set the experiment to auto-apply when results are favorable. Otherwise, apply manually from the Experiments table or enable AI Max from Campaign settings after the test concludes.

Setup Limits To Know

You can’t create an AI Max experiment via this flow if the campaign:

  • Has legacy features like text customization (old ACA), brand inclusions/exclusions, or ad-group location inclusion already configured
  • Targets the Display Network
  • Uses a Portfolio bid strategy
  • Uses Shared budgets

Coming Soon: Text Guidelines

Google is working on a feature that will provide text guidelines to help AI create brand-safe content that meets your business needs.

This will be available to more advertisers this fall for both AI Max and Performance Max. In the meantime, stick to your usual brand approvals and policy checks.

Getting Started

Google recommends checking out a best-practices guide and Think Week materials if you’re interested in getting started with AI Max.

If you’re already handling Search at scale, the API support simplifies standardizing experiments and comparing results to your existing setup.

Looking Ahead

Expect more controls around creative and safety as text guidelines roll out. Until then, low-lift experiments let you measure AI Max without committing your entire account.

Google Uses Infinite 301 Redirect Loops For Missing Documentation via @sejournal, @martinibuster

Google removed outdated structured data documentation, but instead of returning a 404 response, they have chosen to redirect the old URLs to a changelog that links to the old URL, thereby causing an infinite loop between the two pages. Although that is technically not a soft 404, it is an interesting use of a 301 redirect for a missing web page and not how SEOs typically handle missing web pages and 404 server responses. Did Google make a mistake?

Google Removed Structured Data Documentation

Google quitely published a changelog note announcing they had removed obsolete structured data documentation. An announcement was made three months ago in June and today they finally removed the obsolete documentation.

The missing pages are for the following structured data that is no longer supported:

  • Course info
  • Estimated salary
  • Learning video
  • Special announcement
  • Vehicle listing.

Those pages are completely missing. Gone, and likely never coming back. The usual procedure in that kind of situation is to return a 404 Page Not Found server response. But that’s not what is happening.

Instead of a 404 response Google is returning a 301 redirect back to the changelog. What makes this setup somewhat weird is that Google is linking back to the missing web page from the changelog, which then redirects back to the changelog, creating an infinite loop between the two pages.

Screenshot Of Changelog

In the above screenshot I’ve underlined  in red the link to the Course Info structured data.

The words “course info” are a link to this URL:
https://developers.google.com/search/docs/appearance/structured-data/course-info

Which redirects right back to the changelog here:
https://developers.google.com/search/updates#september-2025

Which of course contains the links to the five URLs that  no longer exist, essentially causing an infinite loop.

It’s not a good user experience and it’s not good for crawlers. So the question is, why did Google do that? 

301 redirects are an option for pages that are missing, so Google is technically correct to use a 301 redirect. However, 301 redirects are generally used to point “to a more accurate URL” which generally means a redirect to a replacement page, one that serves the same or similar purpose.

Technically they didn’t create a soft 404. But the way they handled the missing pages creates a loop that sends crawlers back and forth between a missing web page and the changelog. It seems that it would have been a better user and crawler experience to instead link to the June 2025 blog post that explains why these structured data types are no longer supported  rather than create an infinite loop.

I don’t think it’s anything most SEOs or publishers would do, so why does Google think it’s a good idea?

Featured Image by Shutterstock/Kues

Google Gemini Adds Audio File Uploads After Being Top User Request via @sejournal, @MattGSouthern

Google’s Gemini app now accepts audio file uploads, answering what the company acknowledges was its most requested feature.

For marketers and content teams, it means you can push recordings straight into Gemini for analysis, summaries, and repurposed content without jumping between tools.

Josh Woodward, VP at Google Labs and Gemini, announced the change on X:

“You can now upload any file to @GeminiApp. Including the #1 request: audio files are now supported!”

What’s New

Gemini can now ingest audio files in the same multi-file workflow you already use for documents and images.

You can attach up to 10 files per prompt, and files inside ZIP archives are supported, which helps when you want to upload raw tracks or several interview takes together.

Limits

  • Free plan: total audio length up to 10 minutes per prompt; up to 5 prompts per day.
  • AI Pro and AI Ultra: total audio length up to 3 hours per prompt.
  • Per prompt: up to 10 files across supported formats. Details are listed in Google’s Help Center.

Why This Matters

If your team works with podcasts, webinars, interviews, or customer calls, this closes a gap that often forced a separate transcription step.

You can upload a full interview and turn it into show notes, pull quotes, or a working draft in one place. It also helps meeting-heavy teams: a recorded strategy session can become action items and a brief without exporting to another tool first.

For agencies and networks, batching multiple episodes or takes into one prompt reduces friction in weekly workflows.

The practical win is fewer handoffs: source audio goes in, and the outlines, summaries, and excerpts you need come out. Inside the same system you already use for text prompting.

Quick Tip

Upload your audio together with any supporting context in the same prompt. That gives Gemini the grounding it needs to produce cleaner summaries and more accurate excerpts.

If you’re testing on the free tier, plan around the 10-minute ceiling; longer content is best on AI Pro or Ultra.

Looking Ahead

Google’s limits pages do change, so keep an eye on total length, file-count rules, and any new guardrails that affect longer recordings or larger teams. Also watch for deeper Workspace tie-ins (for example, easier handoffs from Meet recordings) that would streamline getting audio into Gemini without manual uploads.


Featured Image: Photo Agency/Shutterstock

Google Drops Search Console Reporting For Six Structured Data Types via @sejournal, @MattGSouthern

Google will stop reporting six deprecated structured data types in Search Console and remove them from the Rich Results Test and appearance filters.

  • Search Console and Rich Results Test stop reporting on deprecated structured data types.
  • Rankings are unaffected; you can keep the markup, it just won’t show rich results.
  • API returns continue through December.
Anthropic Agrees To $1.5B Settlement Over Pirated Books via @sejournal, @MattGSouthern

Anthropic agreed to a proposed $1.5 billion settlement in Bartz v. Anthropic over claims it downloaded pirated books to help train Claude.

If approved, plaintiffs’ counsel says it would be the largest U.S. copyright recovery to date. A preliminary approval hearing is set for today.

In June, Judge William Alsup held that training on lawfully obtained books can qualify as fair use, while copying and storing millions of pirated books is infringement. That order set the stage for settlement talks.

Settlement Details

The deal would pay about $3,000 per eligible title, with an estimated class size of roughly 500,000 books. Plaintiffs allege Anthropic pulled at least 7 million copies from piracy sites Library Genesis and Pirate Library Mirror.

Justin Nelson, counsel for the authors, said:

“As best as we can tell, it’s the largest copyright recovery ever.”

How Payouts Would Work

According to the Authors Guild’s summary, the fund is paid in four tranches after court approvals: $300M soon after preliminary approval, $300M after final approval, then $450M at 12 months and 450M at 24 months, with interest accruing in escrow.

A final “Works List” is due October 10, which will drive a searchable database for claimants.

The Guild notes the agreement requires destruction of pirated copies and resolves only past conduct.

Why This Matters

If you rely on AI tools in content workflows, provenance now matters more. Expect more licensing deals and clearer disclosures from vendors about training data sources.

For publishers and creators, the per-work payout sets a reference point that may strengthen negotiating leverage in future licensing talks.

Looking Ahead

The judge will consider preliminary approval today. If granted, the notice process begins this fall and payments to rightsholders would follow final approval and claims processing, funded on the installment schedule above.


Featured Image: Tigarto/Shutterstock

Google Publishes Exact Gemini Usage Limits Across All Tiers via @sejournal, @MattGSouthern

Google has published exact usage limits for Gemini Apps across the free tier and paid Google AI plans, replacing earlier vague language with concrete numbers marketers can plan around.

The Help Center update covers daily caps for prompts, images, Deep Research, video generation, and context windows, and notes that you’ll see in-product notices when you’re close to a limit.

What’s New

Until recently, Google’s documentation used general phrasing about “limited access” without specifying amounts.

The Help Center page now lists per-tier allowances for Gemini 2.5 Pro prompts, image generation, Deep Research, and more. It also clarifies that practical caps can vary with prompt complexity, file sizes, and conversation length, and that limits may change over time.

Google’s Help Center states:

“Gemini Apps has usage limits designed to ensure an optimal experience for everyone… we may at times have to cap the number of prompts, conversations, and generated assets that you can have within a specific timeframe.”

Free vs. Paid Tiers

On the free experience, you can use Gemini 2.5 Pro for up to five prompts per day.

The page lists general access to 2.5 Flash and includes:

  • 100 images per day
  • 20 Audio Overviews per day
  • Five Deep Research reports per month using 2.5 Flash).

Because overall app limits still apply, actual throughput depends on how long and complex your prompts are and how many files you attach.

Google AI Pro increases ceilings to:

  • 100 prompts per day on Gemini 2.5 Pro
  • 1,000 images per day
  • 20 Deep Research reports per day (using 2.5 Pro).

Google AI Ultra raises those to

  • 500 prompts per day
  • 200 Deep Research reports per day
  • Includes Deep Think with 10 prompts per day at a 192,000-token context window for more complex reasoning tasks.

Context Windows and Advanced Features

Context windows differ by tier. The free tier lists a 32,000-token context size, while Pro and Ultra show 1 million tokens, which is helpful when you need longer conversations or to process large documents in one go.

Ultra’s Deep Think is separate from the 1M context and is capped at 192k tokens for its 10 daily prompts.

Video generation is currently in preview with model-specific limits. Pro shows up to three videos per day with Veo 3 Fast (preview), while Ultra lists up to five videos per day with Veo 3 (preview).

Google indicates some features receive priority or early access on paid plans.

Availability and Requirements

The Gemini app in Google AI Pro and Ultra is available in 150+ countries and territories for users 18 or older.

Upgrades are tied to select Google One paid plans for personal accounts, which consolidate billing with other premium Google services.

Why This Matters

Clear ceilings make it easier to scope deliverables and budgets.

If you produce a steady stream of social or ad creative, the image caps and prompt totals are practical planning inputs.

Teams doing competitive analysis or longer-form research can evaluate whether the free tier’s five Deep Research reports per month cover occasional needs or if Pro’s daily allotment, Ultra’s higher limit, and Deep Think are a better fit for heavier workloads.

The documentation also emphasizes that caps can vary with usage patterns, so it’s worth watching the in-app limit warnings on busy days.

Looking Ahead

Google notes that limits may evolve. If your workflows depend on specific daily counts or large context windows, it’s sensible to review the Help Center page periodically and adjust plans as features move from preview to general availability.


Featured Image: Evolf/Shutterstock

Google: Your Login Pages May Be Hurting Your SEO Performance via @sejournal, @MattGSouthern

Google’s Search Relations team says generic login pages can confuse indexing and hurt rankings.

When many private URLs all show the same bare login form, Google may treat them as duplicates and show the login page in search.

In a recent “Search Off the Record” episode, John Mueller and Martin Splitt explained how this happens and what to do about it.

Why It Happens

If different private URLs all load the same login screen, Google sees those URLs as the same page.

Mueller said on the podcast:

“If you have a very generic login page, we will see all of these URLs that show that login page that redirect to that login page as being duplicates… We’ll fold them together as duplicates and we’ll focus on indexing the login page because that’s kind of what you give us to index.”

That means people searching for your brand may land on a login page instead of helpful information.

“We regularly see Google services getting this wrong,” Mueller admitted, noting that with many teams, “you invariably run across situations like that.”

Search Console fixed this by sending logged-out visitors to a marketing page with a clear sign-in link, which gave Google indexable context.

Don’t Rely On robots.txt To Hide Private URLs

Blocking sensitive areas in robots.txt can still let those URLs appear in search with no snippet. That’s risky if the URLs expose usernames or email addresses.

Mueller warned:

“If someone does something like a site query for your site… Google and other search engines might be like, oh, I know about all of these URLs. I don’t have any information on what’s on there, but feel free to try them out essentially.”

If it’s private, avoid leaking details in the URL, and use noindex or a login redirect instead of robots.txt.

What To Do Instead

If content must stay private, serve a noindex on private endpoints or redirect requests to a dedicated login or marketing page.

Don’t load private text into the page and then hide it with JavaScript. Screen readers and crawlers may still access it.

If you want restricted pages indexed, use the paywall structured data. It allows Google to fetch the full content while understanding that regular visitors will hit an access wall.

Paywall structured data isn’t only for paid content, Mueller explains:

“It doesn’t have to be something that’s behind like a clear payment thing. It can just be something like a login or some other mechanism that basically limits the visibility of the content.”

Lastly, add context to login experiences. Include a short description of the product or the section someone is trying to reach.

As Mueller advised:

“Put some information about what your service is on that login page.”

A Quick Test

Open an incognito window. While logged out, search for your brand or service and click the top results.

If you land on bare login pages with no context, you likely need updates. You can also search for known URL patterns from account areas to see what shows up.

Looking Ahead

As more businesses use subscriptions and gated experiences, access design affects SEO.

Use clear patterns (noindex, proper redirects, and paywalled markup where needed) and make sure public entry points provide enough context to rank for the right queries.

Small changes to login pages and redirects can prevent duplicate grouping and improve how your site appears in search.


Featured Image: Roman Samborskyi/Shutterstock