Google’s Advice on Fixing Unwanted Indexed URLs via @sejournal, @martinibuster

An SEO posted details about a site audit in which he critiqued the use of a rel=canonical for controlling what pages are indexed on a site. The SEO proposed using noindex to get the pages dropped from Google’s index and then adding the individual URLs to robots.txt. Google’s John Mueller suggested a solution that goes in a different direction.

Site Audit Reveals Indexed Add To Cart URLs

An SEO audit uncovered that over half of the client’s 1.43k indexed pages were paginated and “add to shopping cart” URLs (the kind with question marks at the end of them). Google ignored the rel=canonical link attributes and indexed the pages, which illustrated the point that rel=canonical is just a hint and not a directive. Paginated in this case just means the dynamically generated URLs related to when a site visitor orders a page by brand or size or whatever (this is usually referred to as faceted navigation).

The add to shopping cart URLs  looked like this:

example.com/product/page-5/?add-to-cart=example

The client had implemented a rel=canonical link attribute to tell Google that another URL was the correct URL to index.

The SEO’s solution:

“How I plan on fixing this is to no-index all these pages and once that’s done block them in the robots.txt”

SEO Decisions Depend On Details

One of the most tired and boring SEO dad jokes is “it depends.” But saying “it depends” is no joke when it’s followed by what something depends on and that’s the crucial detail that John Mueller added to a LinkedIn discussion that already had 83 responses to it.

The original discussion, by an SEO who’d just finished an audit, addresses the technical challenges associated with controlling what gets crawled and indexed by Google and why rel=canonical is not an unreliable solution because it is a suggestion and not a directive.

A directive is a command that Google is obligated to follow, like a meta noindex rule. A rel=canonical link attribute is not a directive, it’s treated as a hint for Google to use for deciding what to index.

The problem that the original post described was about managing a high number of dynamically generated posts that were slipping into Google’s index.

John Mueller On Dealing With Unwanted Indexed URLs

Mueller’s take on the problem was to suggest the importance of reviewing the URLs for patterns that may give a clue as to why unwanted URLs are getting indexed and then applying a more granular (specific) solution.

He advised:

“You seem to have a lot of comments here already, so my 2 cents are more as a random bystander…

– I’d review the URLs for patterns and look at specifics, rather than to treat this as a random list of URLs that you want canonicalized. These are not random, using a generic solution won’t be optimal for any site – ideally you’d do something specific for this particular situation. Aka “it depends”.

– In particular, you seem to have a lot of ‘add to cart’ URLs – you can just block these with the URL pattern via robots.txt. You don’t need to canonicalize them, they should ideally not be crawled during a normal crawl (it messes up your metrics too).

– There’s some amount of pagination, filtering in URL parameters too – check out our documentation on options for that.

– For more technical rabbit holes, check out https://search-off-the-record.libsyn.com/handling-dupes-same-same-or-different “

Why Was Google Indexing URLs With Query Parameters?

A topic raised by multiple people in the LinkedIn discussion is the problem of Google indexing shopping cart URLs (add to shopping cart URLs). No answers were provided but it may be something particular to the shopping cart platform and solving that may be limited to the above described solutions.

Read John Mueller’s advice here.

Google Adds New Guidance For Merging GA4 & Search Console Data via @sejournal, @MattGSouthern

Google has rolled out updated documentation on how to combine data from Google Analytics and Search Console.

Unified SEO Insights

The new guidelines recommend using Google Analytics and Google Search Console together. Google Analytics tracks user behavior on your website, while Search Console monitors your site’s performance in Google Search.

This combination gives you a clearer view of website activity, allowing you to compare key metrics like sessions and clicks. Understanding how users find and interact with your site helps improve SEO decisions.

Leveraging Looker Studio

This document explains how to use Looker Studio to view organic search traffic data from Google Analytics and Search Console on one dashboard. It provides steps for setting up data sources and creating charts, using different colors to distinguish between the two platforms.

SEO professionals can track key metrics like sessions, engagement rates, returning users, clicks, and click-through rates (CTR). This visual format helps identify changes in performance and resolve differences between the two data sources.

Addressing Data Discrepancies

The documentation explains the differences in metrics from each tool. Both measure website engagement, but results may vary due to session tracking methods, time zone settings, attribution models, and reporting of non-HTML pages.

Google’s guidelines offer insights into these differences and tips to reduce data gaps.

How This Helps

SEO professionals can follow the steps in the new documentation to better assess their website’s performance.

By connecting data on what happens before and after a visitor clicks on a search result, marketers can better evaluate their SEO efforts.

To be clear, connecting Google Analytics and Search Console is a recommendation, not a requirement. If you’re satisfied with your analytics tracking and reporting solutions, you don’t have to do anything different.

For more details, view the official documentation on the Google Developers website.

LinkedIn Report Reveals 5 Key Trends Reshaping B2B Marketing via @sejournal, @MattGSouthern

A new LinkedIn report shows how businesses are changing their approach to measuring marketing success.

The report, based on insights from leaders at Microsoft, ServiceNow, PwC, and other global firms, identifies five key trends reshaping measurement strategies.

1. Revenue-Centric Metrics

Marketers are now focusing more on revenue-related metrics instead of traditional cost-per-lead measures.

Leaders are adopting tools that sync CRM data with campaign engagement. These tools bridge the gap between marketing activity and business outcomes and show how specific efforts drive deals.

Other critical shifts include:

  • Marketing Qualified Leads (MQLs) are no longer the primary metric because their conversion rates are inconsistent.
  • There is a greater emphasis on “sourced pipeline,” which refers to deals generated by marketing, and “influenced pipeline,” which measures the effect of multiple touchpoints in marketing.

ServiceNow’s Vivek Khandelwal noted:

“You can talk about click-through rate, cost per click, and cost per impression all day long, but what eventually matters to the business are the revenue metrics. It’s all about how many customers we’re winning, how many opportunities we’re creating, and the ROI we’re generating on marketing investments.”

Personio’s Alex Venus emphasized:

“Our North Star metric is qualified pipeline, which means an opportunity that your salespeople care about, which should be converting at a rate of 25% or more.”

2. ROI Frameworks for Brand Marketing

CFOs now need proof that brand-building works financially. This means marketers must show how their awareness efforts lead to sales results.

The report reads:

“The emphasis is shifting from the cost of marketing outcomes to the value of those outcomes. For marketers, that means reporting on KPIs that correlate with revenue in a clear and consistent way – at a rate that both sales and finance can believe in.”

To justify brand spend, teams are:

  • Separating brand and demand budgets to optimize spending.
  • Running campaigns focused on specific high-value accounts, then tracking deal timelines for correlation.
  • Balancing engagement (e.g., branded search growth) with pipeline influence.

3. AI-Powered Attribution Models

B2B buying groups are getting larger, often including 6 to 10 members.

As a result, marketers are now using machine learning models instead of outdated last-touch attribution methods.

Julien Harazi, Head of Lead Generation at Cegid, stated in the report:

“As B2B marketers, our world has become a lot more complicated. All of the touchpoints are intertwined and it can be difficult to understand the buyer journey and identify where the value comes from in terms of your marketing.”

Emerging solutions include:

  • Lifetime value (LTV) analysis by channel/segment
  • Media Mix Modelling to assess cross-channel synergies
  • Integration with LinkedIn Sales Navigator for account-level journey mapping

4. Multi-Timeframe Measurements

Leaders now measure performance across three timelines to balance immediate optimizations with long-term growth:

  1. Real-time: Cost-per-qualified lead optimizations
  2. Mid-term: 3–12-week pipeline ROAS
  3. Long-term: LTV-adjusted ROI incorporating brand investments

This approach helps teams avoid over-indexing on short-term gains while undervaluing brand-building.

Sveta Freidman, Global Data & Analytics Lead at Xero, states in the report:

“One of my goals is to build an understanding of lifetime value by channel, segment level and by platform so that we can optimize our approach around the best outcomes for our business.”

5. Unified Real-Time Dashboards 

With 73% of marketers citing siloed data as a top challenge, integrated analytics tools are becoming critical.

Solutions gaining momentum include:

  • LinkedIn Insight Tag for cross-website behavioral tracking
  • Hybrid metrics balancing brand engagement and demand signals
  • Predictive AI models identifying untracked revenue influences

What This Means For Marketers

The report highlights the value of measurement for brand growth.

These three priorities stand out for B2B marketers:

  1. Link metrics to revenue.
  2. Use tools like multi-touch attribution and brand lift studies to assess demand and brand impact.
  3. Balance real-time optimizations with long-term customer value analysis.

Success in B2B marketing depends on your ability to translate data into language that resonates with CFOs and business leaders.

Download the full report for more details.

Google’s Q4 Earnings Point To An AI-Focused Future via @sejournal, @MattGSouthern

Alphabet Inc., Google’s parent company, reported strong fourth-quarter results for fiscal 2024, primarily driven by its commitment to AI.

Alphabet announced revenues of $96.5 billion for Q4 2024, up 12% from last year.

Google Services, including Search and YouTube ads, grew by 10% to $84.1 billion.

Google Cloud increased revenues by 30% to $12.0 billion as more businesses adopted its AI services.

Operating income rose by 31%, and net income increased by 28% to $26.5 billion.

AI-Driven Growth

CEO Sundar Pichai highlighted the company’s AI achievements and recent launches during the earnings call.

Pichai said:

“Q4 was a strong quarter driven by our leadership in AI and momentum across the business. We’re making dramatic progress across compute, model capabilities, and in driving efficiencies. We’re rapidly shipping product improvements, and seeing terrific momentum with consumer and developer usage.”

Infrastructure Investments

Alphabet is investing heavily in its infrastructure, launching new data centers and subsea cable projects to improve global connectivity.

Pichai stated:

“We broke ground on 11 new Cloud regions and data center campuses in places like South Carolina, Indiana, Missouri, and around the world. We also announced plans for seven new subsea cable projects, strengthening global connectivity.”

These efforts will support the growth of AI services, as data centers now provide nearly four times more computing power for the same energy.

Implications for Search and Marketing

Google reported that its AI-powered search features are gaining traction. AI Overviews are now available in more than 100 countries.

Circle to Search, available on over 200 million Android devices, is popular among younger users, who now use it for more than 10% of their searches.

SEO professionals and digital marketers should brace for further changes, as Pichai declared that “2025 is going to be one of the biggest years for Search innovation yet.”

The company’s $75 billion capital expenditure plan for 2025 suggests significant investments in search technology and AI capabilities.

Looking Ahead

Google’s Q4 results highlight its focus on AI. Overall revenue increased 12%, and the cloud business grew 30%. Profits increased as well, with operating income rising 31%.

The company’s investments in data centers and undersea cables will support global AI growth.

New AI features, such as Search Overviews and Circle to Search, are changing user behavior, so SEO teams should prepare for more changes in 2025.

Keep an eye on Google’s $75 billion spending plan to expand AI technology.


Featured Image: Dennis Diatel/Shutterstock

LinkedIn Video Views Up 36%, New Tools & Courses Available via @sejournal, @MattGSouthern

LinkedIn video viewership is up 36% YoY. The platform adds new tools and free training courses to boost video creation.

  • LinkedIn video watch time is outpacing other content formats.
  • New creator tools include profile previews, enhanced analytics, and desktop video features.
  • Free LinkedIn Learning courses can help you learn more about video’s role in professional communication.
How WordPress Hot Nacho Scandal Shapes WP Engine Dispute via @sejournal, @martinibuster

In a recent interview, Matt Mullenweg referenced three scandals and controversies from his past that have been long forgotten to show how it’s possible that the WP Engine scandal will also be forgotten. One of the examples he cited, the Hot Nacho Scandal, led Google to ban WordPress.org, caused Mullenweg to be rebuked by influential tech leaders, and resulted in his shaming in the mainstream media.

The Hot Nacho Scandal, named for a software company called Hot Nacho, was an intense event for Matt Mullenweg that shows what he endured in the past and may help explain his attitude toward the WP Engine scandal today.

Matt Recalls Three Forgotten Controversies

In a part of the interview where Matt downplays the current WP Engine (WPE) dispute he cited three scandals and controversies from the past ten to twenty years to show how he’s made mistakes and also how he has not shied away from an aggressive attention-getting defense of the WordPress open source project and yet with time it’s mostly been forgotten. He cited three controversies as examples of how the WP Engine controversy can also be forgotten with time, perhaps giving an insight into Matt’s thinking about it.

He cited three incidents:

1. The 2005 Hot Nacho Scandal

2. The 2007 Easter Theme Massacre

3. The Chris Pearson Thesis Conflict

The Thesis controversy is relatively recent but the other two go back almost two decades. The Hot Nacho incident was intense not unlike the situation Mullenweg finds himself to day with WP Engine and may explain where he gets his strength to carry on in the fight with WP Engine.

Matt said:

“You know, some of these previous controversies that got mainstream media coverage, you know CNN, I had this Hot Nacho scandal in the first couple years of WordPress or the Thesis fight or the Easter Massacre of themes, like all these things I’m mentioning you probably haven’t heard of.

It used to be like half my Wikipedia page, now it’s not. Today if you go to my Wikipedia page, their PR firm has a whole paragraph about this. I think in 5 years maybe it’ll be a sentence or not even on there at all.

So it’s not my first rodeo. Sometimes you have to fight to protect your open source ideals and the community and and your trademark. “

The Hot Nacho Scandal

The Hot Nacho scandal is named after an SEO software company that paid Matt Mullenweg to host web pages on WordPress.org, which resulted in Google banning the WordPress.org website.

Mullenweg was still working at CNET at the time and working on WordPress on the side when the scandal broke. The news was featured in publications such as Ars Technica, eWeek, MSNBC, Slashdot, and The Register.

A March 31, 2005 article published in The Register featured the lurid article title, “Blog star ‘fesses up to payola spam scam” and describes the shocking transaction that Mullenweg arranged with an SEO software company:

“Matt Mullenweg, founder of the popular open source weblog software WordPress, and CNET employee, has admitted to gaming the web’s search engines by hosting tens of thousands of “articles” that contain hidden, paid-for keywords.

Mullenweg hosted at least 160,000 pieces of “content” on his site wordpress.org which use a cloaking technique to hide keywords such as “asbestos”, “debit consolidation” and “mortgages”. Mullenweg was paid a flat fee by Hot Nacho Inc., which creates software for search engine gamers to use.”

Rebuked By Jason Kottke

Jason Kottke is a widely respected blogger who is known as a pioneer of independent publishing.  So it must have been disappointing to Matt Mullenweg to be the recipient of harsh criticism from someone like Kottke, who wrote:

“WordPress is using its high Page Rank to game Google AdWords. This stinks like last week’s fish. Is WordPress and wordpress.org an open source project like we’ve all been told or is it a company? Either way, contributing to spam noise on the web is annoying.”

Hot Nacho Explains His Side

The founder of the Hot Nacho company explained that they were developing an SEO writing software and wanted to test it on WordPress.org. Matt agreed to accept payment to host the articles, cloaking the links to them so site visitors wouldn’t see them. It wasn’t sophisticated cloaking either. Mullenweg simply used CSS to push the links off-screen.

The Hot Nacho founder published an explanation and begged the world to not harshly judge Mullenweg:

“For my part, I invariably place some advertising on such pages because I’m also not corporate sponsored… It was a blunder that Matt used invisible links to connect to the Articles collection. It wasn’t necessary and I’m sure he regrets having done it that way. But please cut the guy some slack. …Sure, it was a mistake, but it was motivated by the fact that he’s a really good guy.”

Matt Mullenweg himself wrote:

“Knowing what I knew then, I would probably make the same decision; knowing what I know now I wouldn’t even consider it. Not thinking through all the ramifications was a big mistake. So was not having more community dialog from the beginning, which would have caught this earlier. I am extremely sorry for both, and it won’t happen again.”

The upside to the Hot Nacho Scandal was that WordPress received more donations in four days than it had in the previous entire year.

Transformative Event

The Hot Nacho Scandal may have been a formative experience for a young Mullenweg. It exposed him to intense criticism, rebuke and anonymous threats. According to Mullenweg at the time, he said that what others say doesn’t matter as much as what you do and acknowledged that he was developing a thicker skin.

Understanding what the Hot Nacho Scandal was helps put some context to how Mullenweg is approaching the WP Engine Conflict today.

Can AI-Generated Content Be Copyrighted? Here’s What U.S. Law Says via @sejournal, @MattGSouthern

The U.S. Copyright Office has released a report on how current laws apply to content created by AI.

It affirms that AI can assist with the creative process, but only works that include meaningful human input can be copyrighted.

Here’s what you need to know about copyrighting AI-generated content.

Key Findings

Human Authorship Is Essential

The report states that AI-generated output can only receive copyright protection if a human adds significant creative input.

This input might include:

  • Major changes to AI-created material
  • Creative arrangement or selection of AI outputs (like putting together AI-generated text into a collection)
  • Use of AI elements in larger human-created works (such as using AI-generated visuals in a film storyboard)

However, just giving prompts to an AI system without any extra creative input doesn’t qualify for copyright.

No Legal Changes Recommended

The Copyright Office believes current copyright laws can adapt to content made by AI.

They point to past examples of copyright principles changing to accommodate photography, computer code, and other new technologies.

The report doesn’t support immediate changes to the law.

What This Means

Here’s what this means for artists, writers, and businesses using AI tools:

  1. Collaborative Works: Projects that mix AI-generated elements with human-created ones (like AI-assisted designs improved by artists) might get partial copyright protection.
  2. Tool Usage: Using AI for editing, brainstorming, or technical tasks does not take away a work’s copyright eligibility as long as a human shapes the final result.
  3. Prompt Engineers: Those who only create prompts for AI without adding more creative input will not own rights to the AI outputs.

What’s Next?

The Copyright Office will examine issues like AI training data and licensing in future reports.

Ongoing lawsuits might influence how courts interpret these rules.

This report is part of the U.S. Copyright Office’s AI Initiative launched in 2023. The first part focused on digital replicas and voice cloning, while future sections will address AI training data, licensing, and liability.

FAQ: U.S. Copyright Office Report On AI-Generated Content

We understand you may still have questions, and we’ll do our best to answer them with quotes pulled directly from the report.

1. Is current copyright law sufficient to handle AI-generated works?

A:

“Questions of copyrightability and AI can be resolved pursuant to existing law, without the need for legislative change.”

2. Can AI-generated material ever be copyrighted?

A:

“Copyright does not extend to purely AI-generated material, or material where there is insufficient human control over the expressive elements.”

3. Does using AI tools disqualify a work from copyright protection?

A:

“The use of AI tools to assist rather than stand in for human creativity does not affect the availability of copyright protection for the output.”

4. Are prompts enough to claim authorship of AI-generated content?

A:

“Prompts alone do not provide sufficient human control to make users of an AI system the authors of the output.”

5. Can human edits to AI outputs qualify for copyright?

A:

“Human authors are entitled to copyright in their works of authorship that are perceptible in AI-generated outputs, as well as the creative selection, coordination, or arrangement of material in the outputs, or creative modifications of the outputs.”

6. Should AI systems receive new legal protections?

A:

“The case has not been made for additional copyright or sui generis protection for AI-generated content.”

7. What about international competition in AI development?

A:

“In the European Union, the majority of member states agreed, in response to a 2024 policy questionnaire on the relationship between generative AI and copyright, that current copyright principles adequately address the copyright eligibility of AI outputs and there is no need to provide new or additional protection.”

8. How does this affect creators with disabilities who use AI tools?

A:

“Discussing creators with disabilities, another noted that “AI acts as a tool in the hands of an author,” rather than a source of expressive content.

The Office strongly supports the empowerment of all creators, including those with disabilities. We stress that to the extent these functionalities are used as tools to recast, transform, or adapt an author’s expression, copyright protection would be available for the resulting work.”

For More Information

Read the full report and access registration examples at copyright.gov/AI.


Featured Image: Family Stock/Shutterstock