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5 Automated And AI-Driven Workflows To Scale Enterprise SEO

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5 Automated And AI-Driven Workflows To Scale Enterprise SEO

That’s where Ahrefs’ in-built AI translator may be a better fit for your project, solving both problems in one go:

GIF from Ahrefs Keywords Explorer, July 2024

It offers automatic translations for 40+ languages and dialects in 180+ countries, with more coming soon.

However, the biggest benefit is that you’ll get a handful of alternative translations to select from, giving you greater insight into the nuances of how people search in local markets.

For example, there are over a dozen ways to say ‘popcorn’ across all Spanish-speaking countries and dialects. The AI translator is able to detect the most popular variation in each country.

5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Keywords Explorer, July 2024

This, my friends, is quality international SEO on steroids.

2.   Identify The Dominant Search Intent Of Any Keyword

Search intent is the internal motivator that leads someone to look for something online. It’s the reason why they’re looking and the expectations they have about what they’d like to find.

The intent behind many keywords is often obvious. For example, it’s not rocket science to infer that people expect to purchase a product when searching any of these terms:

5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Keywords Explorer, July 2024

However, there are many keywords where the intent isn’t quite so clear-cut.

For instance, take the keyword “waterbed.” We could try to guess its intent, or we could use AI to analyze the top-ranking pages and give us a breakdown of the type of content most users seem to be looking for.

 

1722237962 156 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Gif from Ahrefs Keywords Explorer, July 2024

For this particular keyword, 89% of results skew toward purchase intent. So, it makes sense to create or optimize a product page for this term.

For the keyword “arrow fletchings,” there is a mix of different types of content ranking, like informational posts, product pages, and how-to guides.

1722237962 320 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Identify Intents, July 2024

If your brand or product lent itself to one of the popular content types, that’s what you could plan in your content calendar.

Or, you could use the data here to outline a piece of content that covers all the dominant intents in a similar proportion to what’s already ranking:

  • ~40% providing information and answers to common questions.
  • ~30% providing information on fletching products and where to buy them.
  • ~20% providing a process for a reader to make their own fletchings.
  • And so on.

For enterprises, the value of outsourcing this to AI is simple. If you guess and get it wrong, you’ll have to allocate your limited SEO funds toward fixing the mistake instead of working on new content.

It’s better to have data on your side confirming the intent of any keyword before you publish content with an intent misalignment, let alone rolling it out over multiple websites or languages!

3.   Easily Identify Missing Topics Within Your Content

Topical gap analysis is very important in modern SEO. We’ve evolved well beyond the times when simply adding keywords to your content was enough to make it rank.

However, it’s not always quick or easy to identify missing topics within your content. Generative AI can help plug gaps beyond what most content-scoring tools can identify.

For example, ChatGPT can analyze your text against competitors’ to find missing topics you can include. You could prompt it to do something like the following:

1722237962 977 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from ChatGPT, July 2024

SIDENOTE. You’ll need to add your content and competitors’ content to complete the prompt.

Here’s an example of the list of topics it identifies:

1722237962 916 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from ChatGPT, July 2024

And the scores and analysis it can provide for your content:

1722237962 953 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from ChatGPT, July 2024

This goes well beyond adding words and entities, like what most content scoring tools suggest.

The scores on many of these tools can easily be manipulated, providing higher scores the more you add certain terms; even if, from a conceptual standpoint, your content doesn’t do a good job of covering a topic.

If you want the detailed analysis offered by ChatGPT but available in bulk and near-instantly… then good news. We’re working on Content Master, a content grading solution that automates topic gap analysis.

I can’t reveal too much about this yet, but it has a big USP compared to most existing content optimization tools: its content score is based on topic coverage—not just keywords.

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Screenshot from Ahrefs Content Master, July 2024

You can’t just lazily copy and paste related keywords or entities into the content to improve the score.

If you rely on a pool of freelancers to create content at scale for your enterprise company, this tool will provide you with peace of mind that they aren’t taking any shortcuts.

4.   Update Search Engines With Changes On Your Website As They Happen

Have you ever made a critical change on your website, but search engines haven’t picked up on it for ages? There’s now a fix for that.

If you aren’t already aware of IndexNow, it’s time to check it out.

It tells participating search engines when a change, any change, has been made on a website. If you add, update, remove, or redirect pages, participating search engines can pick up on the changes faster.

Not all search engines have adopted this yet, including Google. However, Microsoft Bing, Yandex, Naver, Seznam.cz, and Yep all have. Once one partner is pinged, all the information is shared with the other partners making it very valuable for international organizations:

1722237962 784 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Most content management systems and delivery networks already use IndexNow and will ping search engines automatically for you. However, since many enterprise websites are built on custom ERP platforms or tech stacks, it’s worth looking into whether this is happening for the website you’re managing or not.

You could partner with the dev team to implement the free IndexNow API. Ask them to try these steps as shared by Bing if your website tech stack doesn’t already use IndexNow:

  1. Get your free IndexNow API key
  2. Place the key in your site’s root directory as a .txt file
  3. Submit your key as a URL parameter
  4. Track URL discoveries by search engines

You could also use Ahrefs instead of involving developers. You can easily connect your IndexNow API directly within Site Audit and configure your desired settings.

Here’s a quick snapshot of how IndexNow works with Ahrefs:

1722237962 519 5 Automated And AI Driven Workflows To Scale Enterprise SEO

In short, it’s an actual real-time monitoring and alerting system, a dream come true for technical SEOs worldwide. Check out Patrick Stox’s update for all the details.

Paired with our always-on crawler, no matter what changes you’re making, you can trust search engines will be notified of any changes you want, automatically. It’s the indexing shortcut you’ve been looking for.

5.   Automatically Fix Common Technical SEO Issues

Creative SEO professionals get stuff done with or without support from other departments. Unfortunately, in many enterprise organizations, relationships between the SEO team and devs can be tenuous, affecting how many technical fixes are implemented on a website.

If you’re a savvy in-house SEO, you’ll love this new enterprise feature we’re about to drop. It’s called Patches.

It’s designed to automatically fix common technical issues with the click of a button. You will be able to launch these fixes directly from our platform using Cloudflare workers or JavaScript snippets.

Picture this:

  1. You run a technical SEO crawl.
  2. You identify key issues to fix across one page, a subset of pages, or all affected pages.
  3. With the click of a button, you fix the issue across your selected pages.
  4. Then you instantly re-crawl these pages to check the fixes are working as expected.

For example, you can make page-level fixes for pesky issues like re-writing page titles, descriptions, and headings:

1722237962 821 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Site Audit, July 2024

You can also make site-wide fixes. For example, fixing internal links to broken pages can be challenging without support from developers on large sites. With Patches, you’ll be able to roll out automatic fixes for issues like this yourself:

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Screenshot from Ahrefs Site Audit, July 2024

As we grow this tool, we plan to automate over 95% of technical fixes via JavaScript snippets or Cloudflare workers, so you don’t have to rely on developers as much as you may right now. We’re also integrating AI to help you speed up the process of fixing fiddly tasks even more.

Get More Buy-In For Enterprise SEO With These Workflows

Now, as exciting and helpful as these workflows may be for you, the key is to get your boss and your boss’ boss on board.

If you’re ever having trouble getting buy-in for SEO projects or budgets for new initiatives, try using the cost savings you can pass as leverage.

For instance, you can show how, usually, three engineers would dedicate five sprints to fixing a particular issue, costing the company illions of dollars—millions, billions, bajillions, whatever it is. But with your proposed solution, you can reduce costs and free up the engineers’ time to work on high-value tasks.

You can also share the Ultimate Enterprise SEO Playbook with them. It’s designed to show executives how your team is strategically valuable and can solve many other challenges within the organization.

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Mediavine Bans Publisher For Overuse Of AI-Generated Content

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Single continuous line drawing robot sitting near piles of work files.

According to details surfacing online, ad management firm Mediavine is terminating publishers’ accounts for overusing AI.

Mediavine is a leading ad management company providing products and services to help website publishers monetize their content.

The company holds elite status as a Google Certified Publishing Partner, which indicates that it meets Google’s highest standards and requirements for ad networks and exchanges.

AI Content Triggers Account Terminations

The terminations came to light in a post on the Reddit forum r/Blogging, where a user shared an email they received from Mediavine citing “overuse of artificially created content.”

Trista Jensen, Mediavine’s Director of Ad Operations & Market Quality, states in the email:

“Our third party content quality tools have flagged your sites for overuse of artificially created content. Further internal investigation has confirmed those findings.”

Jensen stated that due to the overuse of AI content, “our top partners will stop spending on your sites, which will negatively affect future monetization efforts.”

Consequently, Mediavine terminated the publisher’s account “effective immediately.”

The Risks Of Low-Quality AI Content

This strict enforcement aligns with Mediavine’s publicly stated policy prohibiting websites from using “low-quality, mass-produced, unedited or undisclosed AI content that is scraped from other websites.”

In a March 7 blog post titled “AI and Our Commitment to a Creator-First Future,” the company declared opposition to low-value AI content that could “devalue the contributions of legitimate content creators.”

Mediavine warned in the post:

“Without publishers, there is no open web. There is no content to train the models that power AI. There is no internet.”

The company says it’s using its platform to “advocate for publishers” and uphold quality standards in the face of AI’s disruptive potential.

Mediavine states:

“We’re also developing faster, automated tools to help us identify low-quality, mass-produced AI content across the web.”

Targeting ‘AI Clickbait Kingpin’ Tactics

While the Reddit user’s identity wasn’t disclosed, the incident has drawn connections to the tactics of Nebojša Vujinović Vujo, who was dubbed an “AI Clickbait Kingpin” in a recent Wired exposé.

According to Wired, Vujo acquired over 2,000 dormant domains and populated them with AI-generated, search-optimized content designed purely to capture ad revenue.

His strategies represent the low-quality, artificial content Mediavine has vowed to prohibit.

Potential Implications

Lost Revenue

Mediavine’s terminations highlight potential implications for publishers that rely on artificial intelligence to generate website content at scale.

Perhaps the most immediate and tangible implication is the risk of losing ad revenue.

For publishers that depend heavily on programmatic advertising or sponsored content deals as key revenue drivers, being blocked from major ad networks could devastate their business models.

Devalued Domains

Another potential impact is the devaluation of domains and websites built primarily on AI-generated content.

If this pattern of AI content overuse triggers account terminations from companies like Mediavine, it could drastically diminish the value proposition of scooping up these domains.

Damaged Reputations & Brands

Beyond the lost monetization opportunities, publishers leaning too heavily into automated AI content also risk permanent reputational damage to their brands.

Once a determining authority flags a website for AI overuse, it could impact how that site is perceived by readers, other industry partners, and search engines.

In Summary

AI has value as an assistive tool for publishers, but relying heavily on automated content creation poses significant risks.

These include monetization challenges, potential reputation damage, and increasing regulatory scrutiny. Mediavine’s strict policy illustrates the possible consequences for publishers.

It’s important to note that Mediavine’s move to terminate publisher accounts over AI content overuse represents an independent policy stance taken by the ad management firm itself.

The action doesn’t directly reflect the content policies or enforcement positions of Google, whose publishing partner program Mediavine is certified under.

We have reached out to Mediavine requesting a comment on this story. We’ll update this article with more information when it’s provided.


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Google’s Guidance About The Recent Ranking Update

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Google issues a statement about their recent algorithm update

Google’s Danny Sullivan explained the recent update, addressing site recoveries and cautioning against making radical changes to improve rankings. He also offered advice for publishes whose rankings didn’t improve after the last update.

Google’s Still Improving The Algorithm

Danny said that Google is still working on their ranking algorithm, indicating that more changes (for the positive) are likely on the way. The main idea he was getting across is that they’re still trying to fill the gaps in surfacing high quality content from independent sites. Which is good because big brand sites don’t necessarily have the best answers.

He wrote:

“…the work to connect people with “a range of high quality sites, including small or independent sites that are creating useful, original content” is not done with this latest update. We’re continuing to look at this area and how to improve further with future updates.”

A Message To Those Who Were Left Behind

There was a message to those publishers whose work failed to recover with the latest update, to let them know that Google is still working to surface more of the independent content and that there may be relief on the next go.

Danny advised:

“…if you’re feeling confused about what to do in terms of rankings…if you know you’re producing great content for your readers…If you know you’re producing it, keep doing that…it’s to us to keep working on our systems to better reward it.”

Google Cautions Against “Improving” Sites

Something really interesting that he mentioned was a caution against trying to improve rankings of something that’s already on page one in order to rank even higher. Tweaking a site to get from position six or whatever to something higher has always been a risky thing to do for many reasons I won’t elaborate on here. But Danny’s warning increases the pressure to not just think twice before trying to optimize a page for search engines but to think three times and then some more.

Danny cautioned that sites that make it to the top of the SERPs should consider that a win and to let it ride instead of making changes right now in order to improve their rankings. The reason for that caution is that the search results continue to change and the implication is that changing a site now may negatively impact the rankings in a newly updated search index.

He wrote:

“If you’re showing in the top results for queries, that’s generally a sign that we really view your content well. Sometimes people then wonder how to move up a place or two. Rankings can and do change naturally over time. We recommend against making radical changes to try and move up a spot or two”

How Google Handled Feedback

There was also some light shed on what Google did with all the feedback they received from publishers who lost rankings. Danny wrote that the feedback and site examples he received was summarized, with examples, and sent to the search engineers for review. They continue to use that feedback for the next round of improvements.

He explained:

“I went through it all, by hand, to ensure all the sites who submitted were indeed heard. You were, and you continue to be. …I summarized all that feedback, pulling out some of the compelling examples of where our systems could do a better job, especially in terms of rewarding open web creators. Our search engineers have reviewed it and continue to review it, along with other feedback we receive, to see how we can make search better for everyone, including creators.”

Feedback Itself Didn’t Lead To Recovery

Danny also pointed out that sites that recovered their rankings did not do so because of they submitted feedback to Google. Danny wasn’t specific about this point but it conforms with previous statements about Google’s algorithms that they implement fixes at scale. So instead of saying, “Hey let’s fix the rankings of this one site” it’s more about figuring out if the problem is symptomatic of something widescale and how to change things for everybody with the same problem.

Danny wrote:

“No one who submitted, by the way, got some type of recovery in Search because they submitted. Our systems don’t work that way.”

That feedback didn’t lead to recovery but was used as data shouldn’t be surprising. Even as far back as the 2004 Florida Update Matt Cutts collected feedback from people, including myself, and I didn’t see a recovery for a false positive until everyone else also got back their rankings.

Takeaways

Google’s work on their algorithm is ongoing:
Google is continuing to tune its algorithms to improve its ability to rank high quality content, especially from smaller publishers. Danny Sullivan emphasized that this is an ongoing process.

What content creators should focus on:
Danny’s statement encouraged publishers to focus on consistently creating high quality content and not to focus on optimizing for algorithms. Focusing on quality should be the priority.

What should publishers do if their high-quality content isn’t yet rewarded with better rankings?
Publishers who are certain of the quality of their content are encouraged to hold steady and keep it coming because Google’s algorithms are still being refined.

Read the post on LinkedIn.

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Plot Up To Five Metrics At Once

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Plot Up To Five Metrics At Once

Google has rolled out changes to Analytics, adding features to help you make more sense of your data.

The update brings several key improvements:

  • You can now compare up to five different metrics side by side.
  • A new tool automatically spots unusual trends in your data.
  • A more detailed report on transactions gives a closer look at revenue.
  • The acquisition reports now separate user and session data more clearly.
  • It’s easier to understand what each report does with new descriptions.

Here’s an overview of these new features, why they matter, and how they might help improve your data analysis and decision-making.

Plot Rows: Enhanced Data Visualization

The most prominent addition is the “Plot Rows” feature.

You can now visualize up to five rows of data simultaneously within your reports, allowing for quick comparisons and trend analysis.

This feature is accessible by selecting the desired rows and clicking the “Plot Rows” option.

Anomaly Detection: Spotting Unusual Patterns

Google Analytics has implemented an anomaly detection system to help you identify potential issues or opportunities.

This new tool automatically flags unusual data fluctuations, making it easier to spot unexpected traffic spikes, sudden drops, or other noteworthy trends.

Improved Report Navigation & Understanding

Google Analytics has added hover-over descriptions for report titles.

These brief explanations provide context and include links to more detailed information about each report’s purpose and metrics.

Key Event Marking In Events Report

The Events report allows you to mark significant events for easy reference.

This feature, accessed through a three-dot menu at the end of each event row, helps you prioritize and track important data points.

New Transactions Report For Revenue Insights

For ecommerce businesses, the new Transactions report offers granular insights into revenue streams.

This feature provides information about each transaction, utilizing the transaction_id parameter to give you a comprehensive view of sales data.

Scope Changes In Acquisition Reports

Google has refined its acquisition reports to offer more targeted metrics.

The User Acquisition report now includes user-related metrics such as Total Users, New Users, and Returning Users.

Meanwhile, the Traffic Acquisition report focuses on session-related metrics like Sessions, Engaged Sessions, and Sessions per Event.

What To Do Next

As you explore these new features, keep in mind:

  • Familiarize yourself with the new Plot Rows function to make the most of comparative data analysis.
  • Pay attention to the anomaly detection alerts, but always investigate the context behind flagged data points.
  • Take advantage of the more detailed Transactions report to understand your revenue patterns better.
  • Experiment with the refined acquisition reports to see which metrics are most valuable for your needs.

As with any new tool, there will likely be a learning curve as you incorporate these features into your workflow.


FAQ

What is the “Plot Rows” feature in Google Analytics?

The “Plot Rows” feature allows you to visualize up to five rows of data at the same time. This makes it easier to compare different metrics side by side within your reports, facilitating quick comparisons and trend analysis. To use this feature, select the desired rows and click the “Plot Rows” option.

How does the new anomaly detection system work in Google Analytics?

Google Analytics’ new anomaly detection system automatically flags unusual data patterns. This tool helps identify potential issues or opportunities by spotting unexpected traffic spikes, sudden drops, or other notable trends, making it easier for users to focus on significant data fluctuations.

What improvements have been made to the Transactions report in Google Analytics?

The enhanced Transactions report provides detailed insights into revenue for ecommerce businesses. It utilizes the transaction_id parameter to offer granular information about each transaction, helping businesses get a better understanding of their revenue streams.


Featured Image: Vladimka production/Shutterstock



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