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Is Google headed towards a continuous “real-time” algorithm?

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Is Google headed towards a continuous “real-time” algorithm

30-second summary:

  • The present reality is that Google presses the button and updates its algorithm, which in turn can update site rankings
  • What if we are entering a world where it is less of Google pressing a button and more of the algorithm automatically updating rankings in “real-time”?
  • Advisory Board member and Wix’s Head of SEO Branding, Mordy Oberstein shares his data observations and insights

If you’ve been doing SEO even for a short while, chances are you’re familiar with a Google algorithm update. Every so often, whether we like it or not, Google presses the button and updates its algorithm, which in turn can update our rankings. The key phrase here is “presses the button.” 

But, what if we are entering a world where it’s less of Google pressing a button and more of the algorithm automatically updating rankings in “real-time”? What would that world look like and who would it benefit? 

What do we mean by continuous real-time algorithm updates?

It is obvious that technology is constantly evolving but what needs to be made clear is that this applies to Google’s algorithm as well. As the technology available to Google improves, the search engine can do things like better understand the content and assess websites. However, this technology needs to be interjected into the algorithm. In other words, as new technology becomes available to Google or as the current technology improves (we might refer to this as machine learning “getting smarter”) Google, in order to utilize these advancements, needs to “make them a part” of its algorithms.

Take MUM for example. Google has started to use aspects of MUM in the algorithm. However, (at the time of writing) MUM is not fully implemented. As time goes on and based on Google’s previous announcements, MUM is almost certainly going to be applied to additional algorithmic tasks.  

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Of course, once Google introduces new technology or has refined its current capabilities it will likely want to reassess rankings. If Google is better at understanding content or assessing site quality, wouldn’t it want to apply these capabilities to the rankings? When it does so, Google “presses the button” and releases an algorithm update. 

So, say one of Google’s current machine-learning properties has evolved. It’s taken the input over time and has been refined – it’s “smarter” for lack of a better word. Google may elect to “reintroduce” this refined machine learning property into the algorithm and reassess the pages being ranked accordingly.    

These updates are specific and purposeful. Google is “pushing the button.” This is most clearly seen when Google announces something like a core update or product review update or even a spam update. 

In fact, perhaps nothing better concretizes what I’ve been saying here than what Google said about its spam updates

“While Google’s automated systems to detect search spam are constantly operating, we occasionally make notable improvements to how they work…. From time to time, we improve that system to make it better at spotting spam and to help ensure it catches new types of spam.” 

In other words, Google was able to develop an improvement to a current machine learning property and released an update so that this improvement could be applied to ranking pages. 

If this process is “manual” (to use a crude word), what then would continuous “real-time” updates be? Let’s take Google’s Product Review Updates. Initially released in April of 2021, Google’s Product Review Updates aim at weeding out product review pages that are thin, unhelpful, and (if we’re going to call a spade a spade) exists essentially to earn affiliate revenue.

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To do this, Google is using machine learning in a specific way, looking at specific criteria. With each iteration of the update (such as there was in December 2021, March 2022, etc.) these machine learning apparatuses have the opportunity to recalibrate and refine. Meaning, they can be potentially more effective over time as the machine “learns” – which is kind of the point when it comes to machine learning. 

What I theorize, at this point, is that as these machine learning properties refine themselves, rank fluctuates accordingly. Meaning, Google allows machine learning properties to “recalibrate” and impact the rankings. Google then reviews and analyzes and sees if the changes are to its liking. 

We may know this process as unconfirmed algorithm updates (for the record I am 100% not saying that all unconfirmed updates are as such). It’s why I believe there is such a strong tendency towards rank reversals in between official algorithm updates. 

It’s quite common that the SERP will see a noticeable increase in rank fluctuations that can impact a page’s rankings only to see those rankings reverse back to their original position with the next wave of rank fluctuations (whether that be a few days later or weeks later). In fact, this process can repeat itself multiple times. The net effect is a given page seeing rank changes followed by reversals or a series of reversals.  

across the board fluctuations - Google moving towards a “real-time” algorithm

A series of rank reversals impacting almost all pages ranking between position 5 and 20 that align with across-the-board heightened rank fluctuations 

This trend, as I see it, is Google allowing its machine learning properties to evolve or recalibrate (or however you’d like to describe it) in real-time. Meaning, no one is pushing a button over at Google but rather the algorithm is adjusting to the continuous “real-time” recalibration of the machine learning properties.

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It’s this dynamic that I am referring to when I question if we are heading toward “real-time” or “continuous” algorithmic rank adjustments.

What would a continuous real-time google algorithm mean? 

So what? What if Google adopted a continuous real-time model? What would the practical implications be? 

In a nutshell, it would mean that rank volatility would be far more of a constant. Instead of waiting for Google to push the button on an algorithm update in order to rank to be significantly impacted as a construct, this would simply be the norm. The algorithm would be constantly evaluating pages/sites “on its own” and making adjustments to rank in more real-time. 

Another implication would be a lack of having to wait for the next update for restoration. While not a hard-fast rule, if you are significantly impacted by an official Google update, such as a core update, you generally won’t see rank restoration occur until the release of the next version of the update – whereupon your pages will be evaluated. In a real-time scenario, pages are constantly being evaluated, much the way links are with Penguin 4.0 which was released in 2016. To me, this would be a major change to the current “SERP ecosystem.” 

I would even argue that, to an extent, we already have a continuous “real-time” algorithm. In fact, that we at least partially have a real-time Google algorithm is simply fact. As mentioned, In 2016, Google released Penguin 4.0 which removed the need to wait for another version of the update as this specific algorithm evaluates pages on a constant basis. 

However, outside of Penguin, what do I mean when I say that, to an extent, we already have a continuous real-time algorithm? 

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The case for real-time algorithm adjustments

The constant “real-time” rank adjustments that occur in the ecosystem are so significant that they refined the volatility landscape. 

Per Semrush data I pulled, there was a 58% increase in the number of days that reflected high-rank volatility in 2021 as compared to 2020. Similarly, there was a 59% increase in the number of days that reflected either high or very high levels of rank volatility: 

Data showing volatility - Google moving towards a “real-time” algorithm

Simply put, there is a significant increase in the number of instances that reflect elevated levels of rank volatility. After studying these trends and looking at the ranking patterns, I believe the aforementioned rank reversals are the cause. Meaning, a large portion of the increased instances in rank volatility are coming from what I believe to be machine learning continually recalibrating in “real-time,” thereby producing unprecedented levels of rank reversals. 

Supporting this is the fact (that along with the increased instances of rank volatility) we did not see increases in how drastic the rank movement is. Meaning, there are more instances of rank volatility but the degree of volatility did not increase. 

In fact, there was a decrease in how dramatic the average rank movement was in 2021 relative to 2020! 

Why? Again, I chalk this up to the recalibration of machine learning properties and their “real-time” impact on rankings. In other words, we’re starting to see more micro-movements that align with the natural evolution of Google’s machine-learning properties. 

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When a machine learning property is refined as its intake/learning advances, you’re unlikely to see enormous swings in the rankings. Rather, you will see a refinement in the rankings that align with refinement in the machine learning itself. 

Hence, the rank movement we’re seeing, as a rule, is far more constant yet not as drastic. 

The final step towards continuous real-time algorithm updates

While much of the ranking movement that occurs is continuous in that it is not dependent on specific algorithmic refreshes, we’re not fully there yet. As I mentioned, much of the rank volatility is a series of reversing rank positions. Changes to these ranking patterns, again, are often not solidified until the rollout of an official Google update, most commonly, an official core algorithm update. 

Until the longer-lasting ranking patterns are set without the need to  “press the button” we don’t have a full-on continuous or “real-time” Google algorithm. 

However, I have to wonder if the trend is not heading toward that. For starters, Google’s Helpful Content Update (HCU) does function in real-time. 

Per Google

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Our classifier for this update runs continuously, allowing it to monitor newly-launched sites and existing ones. As it determines that the unhelpful content has not returned in the long-term, the classification will no longer apply.”

How is this so? The same as what we’ve been saying all along here – Google has allowed its machine learning to have the autonomy it would need to be “real-time” or as Google calls it, “continuous”: 

This classifier process is entirely automated, using a machine-learning model.” 

For the record, continuous does not mean ever-changing. In the case of the HCU, there’s a logical validation period before restoration. Should we ever see a “truly” continuous real-time algorithm, this may apply in various ways as well. I don’t want to let on that the second you make a change to a page, there will be a ranking response should we ever see a “real-time” algorithm.

At the same time, the “traditional” officially “button-pushed” algorithm update has become less impactful over time. In a study I conducted back in late 2021, I noticed that Semrush data indicated that since 2018’s Medic Update, the core updates being released were becoming significantly less impactful.

the relation between Google's updates and rank volatility - Google moving towards a “real-time” algorithm

Data indicates that Google’s core updates are presenting less rank volatility overall as time goes on

Subsequently, this trend has continued. Per my analysis of the September 2022 Core Update, there was a noticeable drop-off in the volatility seen relative to the May 2022 Core Update

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lesser rank volatility seen during Google's core update in Sep 2022 - Google moving towards a “real-time” algorithm

Rank volatility change was far less dramatic during the September 2022 Core Update relative to the May 2022 Core Update 

It’s a dual convergence. Google’s core update releases seem to be less impactful overall (obviously, individual sites can get slammed just as hard) while at the same time its latest update (the HCU) is continuous. 

To me, it all points towards Google looking to abandon the traditional algorithm update release model in favor of a more continuous construct. (Further evidence could be in how the release of official updates has changed. If you look back at the various outlets covering these updates, the data will show you that the roll-out now tends to be slower with fewer days of increased volatility and, again, with less overall impact). 

The question is, why would Google want to go to a more continuous real-time model? 

Why a continuous real-time google algorithm is beneficial

A real-time continuous algorithm? Why would Google want that? It’s pretty simple, I think. Having an update that continuously refreshes rankings to reward the appropriate pages and sites is a win for Google (again, I don’t mean instant content revision or optimization resulting in instant rank change).

Which is more beneficial to Google’s users? A continuous-like updating of the best results or periodic updates that can take months to present change? 

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The idea of Google continuously analyzing and updating in a more real-time scenario is simply better for users. How does it help a user looking for the best result to have rankings that reset periodically with each new iteration of an official algorithm update? 

Wouldn’t it be better for users if a site, upon seeing its rankings slip, made changes that resulted in some great content, and instead of waiting months to have it rank well, users could access it on the SERP far sooner? 

Continuous algorithmic implementation means that Google can get better content in front of users far faster. 

It’s also better for websites. Do you really enjoy implementing a change in response to ranking loss and then having to wait perhaps months for restoration? 

Also, the fact that Google would so heavily rely on machine learning and trust the adjustments it was making only happens if Google is confident in its ability to understand content, relevancy, authority, etc. SEOs and site owners should want this. It means that Google could rely less on secondary signals and more directly on the primary commodity, content and its relevance, trustworthiness, etc. 

Google being able to more directly assess content, pages, and domains overall is healthy for the web. It also opens the door for niche sites and sites that are not massive super-authorities (think the Amazons and WebMDs of the world). 

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Google’s better understanding of content creates more parity. Google moving towards a more real-time model would be a manifestation of that better understanding.

A new way of thinking about google updates

A continuous real-time algorithm would intrinsically change the way we would have to think about Google updates. It would, to a greater or lesser extent, make tracking updates as we now know them essentially obsolete. It would change the way we look at SEO weather tools in that, instead of looking for specific moments of increased rank volatility, we’d pay more attention to overall trends over an extended period of time. 

Based on the ranking trends we already discussed, I’d argue that, to a certain extent, that time has already come. We’re already living in an environment where rankings fluctuate far more than they used to and to an extent has redefined what stable rankings mean in many situations. 

To both conclude and put things simply, edging closer to a continuous real-time algorithm is part and parcel of a new era in ranking organically on Google’s SERP.


Mordy Oberstein is Head of SEO Branding at Wix. Mordy can be found on Twitter @MordyOberstein.

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How to Get SEO Buy-In: 7 Actionable Tips

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How to Get SEO Buy-In: 7 Actionable Tips

For many SEOs in agency, in-house, or enterprise roles, 20% of their job is actually doing SEO, the other 80% is about soft skills like getting buy-in.

I always say that 20% of my job is actually doing the SEO, and 80% of communicating, getting buy-in, and moving the boulder so that [stakeholders] can succeed

Tom Critchlow

At Ahrefs, multiple team members have worked in these roles, so we’ve compiled a list of our top tips to help you get more buy-in for SEO projects.

Start by identifying all the key influencers and decision-makers within the organization. You can check out the company’s org chart to figure out who’s who and who calls the shots on projects that impact SEO.

The executive team will likely be at the top of your list. But, we recommend working your way up to getting buy-in from executives by first working cross-functionally with decision-makers in engineering, product, editorial, marketing, or web accessibility teams.

They can each help you implement small parts of SEO that together can be a sizable contribution to the overall SEO strategy. They can also support your requests for funding or initiatives you pitch to executives later on.

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To build relationships with decision-makers in these teams, consider the following:

  • Who’s in charge of budgets and projects? → Learn what they’re working on and how you can help each other with specific projects.
  • What do they care about? → This is the “what’s in it for me” factor. Align your SEO recommendations and requests to these things.
  • How can they help implement your SEO recommendations? → Identify the 20% of SEO they can easily help with using current resources.

Here’s an example of what that might look like:

Who’s in charge? What do they care about? How can they help implement SEO?
Engineering Jane Doe, Head of Engineering Jane cares most about rolling out new features on time and minimizing bugs.  Jane’s team can resolve many high-priority technical SEO errors if she sees them as bugs.
Editorial Joe Blogs, Senior Editor  Joe cares most about publishing quality, brand-relevant content that leads to sales. Joe’s team can create or optimize SEO content with buying intent to maximize traffic on commercial queries.

Too often, SEOs lead with “I need X…” and end with “…for SEO”. Cue dramatic groans that echo company-wide.

Adapting your language and how you communicate is a minor action that can lead to big results in your mission to get buy-in for SEO. Communicating only what you need can often come across as an order and feels like extra work for someone else. Plus, it gives them no sense of why they should care or what’s in it for them.

Try this instead…

→ Highlight opportunities: “There’s an opportunity to do X that helps with your goal of Y”

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→ Leverage FOMO: “If we don’t do X, you’ll miss out on Y”

→ When speaking to executives:I intend to achieve X by doing Y”

It also helps to give your project a fancy name. Every time you talk about the project, mention the name, repeat key facts, and highlight the most exciting opportunities the project opens up.

Repetition is gold as it helps non-technical stakeholders tie goals and results to an otherwise intangible initiative.

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Most executives and department heads have no context for understanding SEO metrics like search volume, share of voice, or even organic traffic.

They don’t have an existing mental model to connect these numbers to. Therefore, when we start sharing SEO-specific numbers in meetings, many non-SEO stakeholders can’t easily approve specific actions or know how to make the right decisions—all because they can’t connect the numbers they’re already familiar with to the conversation about SEO.

Easy fix. Modify the metrics and actions you talk about to those that non-SEO stakeholders already understand.

For example, executives are likely churning over and obsessing about MBA-style metrics. CEOs think about things like revenue, market share, and profitability. Sales managers care about MQLs, SQLs, and so on.

Here are some examples of how to translate SEO lingo for non-SEO stakeholders. These are inspired by Tom Critchlow’s interview on Voices of Search.

Monthly traffic → Lifetime traffic value e.g., “By creating X content, we can get Y monthly traffic predict Y lifetime traffic value.” HINT: Multiply Ahrefs’ Traffic Value metric by 60 to get a 5-year estimate, a common timeframe for calculating lifetime metrics.

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Example of Ahrefs' traffic value metric in Site Explorer dashboard.

Share of voice → market share e.g., “By doing X, our share of voice SEO market share has grown Y%. We’d like funds to do more of X.”

Traffic growth → revenue growth e.g., “We can grow organic traffic predict Y% revenue growth from SEO if we hit X traffic targets. These are the project milestones that will get us there…”

It depends → forecasts e.g., CEO asks “What’s it going to get us?”… “It depends. I made a model that forecasts approximately X% growth in Y months.”

It doesn’t matter what specific metrics are used in your organization. You can adapt SEO metrics to the ones everyone in the company is already thinking about. The main goal of doing this is to take SEO from being a mysterious “black box” activity to something measurable and relatable to non-SEO stakeholders.

How to demystify SEO for executives.How to demystify SEO for executives.

Devs and engineers are essential SEO allies within any organization. And while you can often skip the lengthy relationship-building phase and jump straight into tech fixes, how you frame your requests still matters.

Don’t be the kind of SEO that constantly gives them extra work “because it’s good for SEO.”

Instead, tie in your requests to what they care about. Fixing bugs is an easy approach to take here because devs already understand and care about these things for reasons unrelated to SEO.

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Jackie Chu’s 2023 MozCon presentation outlined this brilliantly. A bug typically:

  • Delivers a confusing brand experience
  • Impacts customers (humans and bots)
  • Impacts other channels, like SEM

If pages can’t render, that’s a bug. If there are content differences between mobile and desktop, that’s a bug. Anything that needs improvement in Ahrefs’ Site Audit is, you guessed it, a bug.

That said, not all bugs are created equal. If you bother devs with a load of super minor or unimportant issues 24/7, they’ll learn to ignore you. So, make sure to prioritize and only ask for bug fixes that matter.

You can easily do this by filtering your Site Audit results by importance:

Ahrefs' Site Audit tool showcasing the ability to prioritize tech fixes.Ahrefs' Site Audit tool showcasing the ability to prioritize tech fixes.

Submit:

  • Errors as high-priority
  • Warnings as medium-priority
  • Notices as low-priority

You can also show your dev team how to interpret each issue listed and find the steps they can take to fix them by clicking on the “?” next to specific issues.

Example of a tip for how to fix hreflang issues in Ahrefs' Site Audit.Example of a tip for how to fix hreflang issues in Ahrefs' Site Audit.

Too many SEOs pitch projects without considering everything that’s needed to make them happen. You’re more likely to get buy-in if your pitch is specific and shows decision-makers the exact details around things like the project’s cost, resources required, and expected timelines.

For example, say you need 100 articles published within three months. Make sure you chat with your editorial and development teams first. See if they can fit this project in and what resources they need to make it happen.

Then, build those resources into your pitch:

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→ Instead of: “I’d like to publish 100 articles on the blog within three months and estimate I’ll need $X per article”.

→ Try this: “To get 100 articles on the blog, which we estimate will contribute to $X in lifetime traffic value, we’ll need to hire a freelance writer and dedicate two development sprints to the project within the next three months. Jane from engineering and Joe from editorial are collaborating on this with me, and we estimate a cost of $Y.”

Need to convince the Jane’s and Joe’s in your organization to partner with you? No worries. Check out the next point.

SEO is chronically underfunded and underresourced… but so are most other teams. You can become an ally and help other teams get more resources because they’re helping implement your SEO strategy.

They get more of whatever they need (people, money, resources). You get their help with SEO tasks, and they get prioritized. Win-win for you and your new BFF.

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You can get the ball rolling by pitching a small test or project that is easy for the other team to get on board with.

Avoid this → “I need 10 of the articles you’re working on each month to do X for SEO”.

Try this instead → “There’s an opportunity for us to do X, and it will allow you to meet Y KPIs. Can we run a small test (and build a case for the execs) so you can hire another writer to work on this project?”

Small tests are a great way to warm up a new contact within your organization, especially if there’s a clear benefit they’ll receive if the test works.

Test results are also very helpful when pitching to executives down the track. If you can demonstrate small-scale success in one area, it’s much easier to get funding for bigger projects that can piggyback on those early wins.

Even if the initial pitch is for another team to get funding, you’re getting your foot in the door for bigger projects. Plus, you’re essentially getting free SEO if you can leverage the other team’s resources for your benefit.

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A good habit for every SEO to develop is to link everything to strategic objectives. We need to get better at pitching the strategic value that our projects deliver instead of the actual work we need to do.

No one cares about the hundreds of technical fixes we need to work on. But everyone cares about revenues dropping if we don’t get support for technical fixes that affect conversions (and SEO, of course, but they don’t need to know that).

Key note here: strategic objectives go beyond metrics. They include things like:

  • Entering international markets
  • Becoming the market leader
  • Expanding X division

You get the idea.

Here are the tactics we’ve found that help position SEO as strategically valuable.

Compare against competitors

This tactic has a very high success rate in our team’s experience. When ideating this blog post, Tim, Patrick, Chris, and Mateusz all cited great success with this approach, and my own experiences echo this.

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It works for literally any SEO activity you’re pitching, especially if you’re in a fierce market with SEO-savvy competitors who are already doing the thing you’re recommending.

For example, you could try the following different pitch angles:

→ Closing the gap: “If we did X, we’d be able to close these gaps with our biggest competitor in Y months…”

→ Reverse engineering: “Our biggest competitor did X. If we dedicated Y resources, we could close the gap and outpace them within Z months.”

→ Becoming a pacesetter: “There’s a gap in the market and none of our competitors are leveraging it. X resources would allow us to take Y actions that give us a competitive edge and make it difficult for competitors to catch up.”

No matter your angle, an easy place to start is in Ahrefs’ Site Structure report. Here, you can see what strategies your competitors are using along with high-level performance metrics, like organic traffic and the number of referring domains that different website segments get.

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Example of Ahrefs' site structure report.Example of Ahrefs' site structure report.

Compare against internal departments

Another great approach is to bring your pitch back to what’s going on in other areas of the organization.

This is a great tactic to benchmark the value of SEO in a way that is immediately apparent. It’s also a great way to get easy buy-in if your company’s strategic objectives focus on specific divisions or products.

Here are some pitching angles you can try:

→ Expanding a division: “We need X resources to help division A expand to the level of division B.”

→ Improving KPIs: “Product A has a high cost per acquisition. We were able to lower CPA by X% for product B using SEO. If we had access to Y resources, we could repeat these actions for product A.”

→ Learning from mistakes: “We learned lessons A, B, and C from a past product launch. If we had X resources, we could help launch the new product for division A without repeating past mistakes.”

Forecast opportunity costs

Opportunity costs are the lost benefits you experience when choosing an alternative option. When it comes to getting buy-in for SEO, it can help to show what the opportunity cost would be if decision-makers chose not to invest in SEO.

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It’s super easy to do this using Ahrefs’ traffic value metric.

Example of Ahrefs' traffic value metric in Site Explorer dashboard.Example of Ahrefs' traffic value metric in Site Explorer dashboard.

This metric shows you how much you’d be spending on paid ads to get the same traffic you do through SEO. It has opportunity cost baked right into it!

You can use it in a few different ways. My favorite method is to look at a successful segment of the website and use its metrics to forecast potential success for a new segment you want to optimize or build-out.

For example, here you can see how the French segment of our site compares with the Spanish segment.

Comparing two website segments using Ahrefs' competitor comparison features.Comparing two website segments using Ahrefs' competitor comparison features.

Want to launch into a new international market? Use these metrics to build a case of what you’d be missing out on by not expanding.

Want to improve an underperforming segment of your site? Show that segment vs a segment that’s skyrocketing to your executive team.

My second favorite method is to use the Traffic Value metric to pit SEO against Google Ads or other marketing channels and showcase how SEO compounds over time and costs less in the long run.

Realistically, if there’s a marketing budget to be had, and it doesn’t go to SEO, these are the alternative channels it will likely go to. So, positioning SEO as a worthwhile channel to invest in can get you a bigger slice of the budget.

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For instance, you could pitch something like, “Our forecasts show that we could reduce our cost per click to $X (traffic value / traffic) by investing Y resources into SEO instead of [another channel].”

If your website is fairly new or you don’t have existing successes to leverage, you can do both of the above by using a competitor’s website as a proxy until you start getting some results that you can use in future forecasts.

So, your pitch would be more like: “X competitor is saving up to $Y (traffic value) in Google ads costs by using SEO. We’re leaving money on the table by not investing in SEO.”

Key Takeaways

Good SEO is about giving people what they want. Getting buy-in is the same, just for a different audience.

The more you help others in your organization get what they want, you’ll also get what you want.

When it comes to collaborating with other departments, it comes down to helping them meet their KPIs because they’re working with you. It builds a positive relationship where they feel happy to help you out in the future and are more likely to prioritize SEO projects.

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As for getting buy-in from executives, understanding where they spend most of their mental energy and aligning your projects to those things can go a long way.

If you’ve got any questions or cool tactics to share, reach out on X or LinkedIn any time!



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Websites Created With Google Business Profiles To Shut Down In March

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Websites Created With Google Business Profiles To Shut Down In March

Do you have a website created through Google Business Profiles for your local business?

If so, you must find an alternative website solution as Google plans to shut down websites created with Google Business Profiles in March.

Websites Created With Google Business Profiles Will Redirect Until June 10, 2024

A redirect will be put in place from your GBP website to your Google Business Profile until June 10, 2024.

“Websites made with Google Business Profiles are basic websites powered by the information on your Business Profile.

In March 2024, websites made with Google Business Profiles will be turned off and customers visiting your site will be redirected to your Business Profile instead.

The redirect will work until June 10, 2024.”

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How To Find Out If You Have A Google Business Profile Website

To find out if your business has a website made with Google Business Profile, search for my business or your business name on Google. Once you find your Google Business Profile, edit your profile and check for your website in the contact section.

If you have a Google Business Profile site, it should say, “You have a website created with Google.”

Otherwise, it will allow you to add the link to your website.

Screenshot from Google, February 2024Websites Created With Google Business Profiles To Shut Down In March

Choosing An Alternative Website Builders For Small Businesses

Google suggests Wix, Squarespace, GoDaddy, Google Sites, Shopify for ecommerce, Durable, Weebly, Strikingly, and WordPress as alternative website builders to create a new website or ad landing page to replace the Google Business Profiles site.

While some, like WordPress, offer a free website builder with generative AI features, its users’ content may reportedly be sold to OpenAI and Midjourney as training data unless they opt out.

Regarding Core Web Vitals, WordPress, Wix, and Squarespace showed the most improvements in performance.

It’s also worth noting that while Google Deepmind used a Google Sites website to introduce Genie, its new AI model, Google Sites may not be best for SEO.

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Updating Ad Campaigns

If you have a Google Ads campaign that links to a website created with Google Business Profiles, the ad campaign will also stop running on March 1, 2024, until the website link is updated.

There’s still time to update your business website to ensure visitors are not sent to a 404 error page after June 10, 2024. If you haven’t chosen a new website builder or hosting service, review the reviews to find the most reliable, affordable, and optimized solution for your business.

Featured image: Vladimka production/Shutterstock

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How We Built A Strong $10 Million Agency: A Proven Framework

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How We Built A Strong $10 Million Agency: A Proven Framework

Building a successful agency can be a daunting task in today’s ever-evolving space. Do you know the secrets to succeeding with yours?

Watch this informative, on-demand webinar, where link building expert Jon Ball reveals the closely guarded secrets that have propelled Page One Power to become a highly successful $10 million agency.

You’ll learn:

  • The foundational principles on which to build your business to succeed.
  • The importance of delegation, market positioning, and staffing.
  • More proven lessons learned from 14 years of experience.

With Jon, we’ll provide you with actionable insights that you can use to take your business to the next level, using foundational principles that have contributed to Page One Power’s success.

If you’re looking to establish yourself as a successful entrepreneur or grow your agency in the constantly evolving world of SEO, this webinar is for you.

Learn the secrets of establishing a thriving agency in an increasingly competitive SEO space.

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View the slides below or check out the full webinar for all the details.

Join Us For Our Next Webinar!

How An Enterprise Digital PR Firm Earns 100’s Of Links In 30 Days

Join us as we explore how to scale the very time-consuming and complicated process of earning links from digital PR, with proven case studies showing how you can earn hundreds of links in 30 days.

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