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AI Re-Ranking For Semantic Search

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AI Re-Ranking For Semantic Search

Search isn’t just about matching keywords – and that’s even more true when we talk about semantic search.

Semantic search is about finding the right information for the searcher at the right time.

That goes beyond finding the right keywords and concepts and speculating how searchers will interact with the results.

Artificial intelligence (AI) re-ranking will take information about the people who come to search and tailor search results to the individual.

That might be done on a cohort level, changing results based on trends, seasonality, and popularity.

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It might also be done individually, changing results based on the current searcher’s desires.

While AI re-ranking is not easy to implement in a search engine, it brings outsized value for conversions and searcher satisfaction.

Re-Ranking With Artificial Intelligence

AI-driven re-ranking can improve search results, no matter the underlying ranking algorithm a search engine uses.

That’s because good search results are more than textual relevance and business metrics like raw popularity.

Good results take into account other signals and do so on a per-query level.

To see why this is important, let’s focus on the business metric of popularity.

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It’s a good general ranking signal but can fall short for specific queries. A search query of “red dress” might bring up in the first results two different dresses: “backless dress with red accents” and “summer dress in bright red.”

The backless dress might be more popular as an overall dress and product.

But in this case, specifically, it’s not what customers want.

They want a red dress, not one with red accents, and they click and buy accordingly.

Shouldn’t the search engine take that as a signal to rank the summer dress higher?

Search Analytics

As the above example shows: Understanding what searchers are doing is necessary for re-ranking.

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The two most common events to track are clicks and conversions.

Generally, those are the only two events necessary and must be events coming from search.

The example above also highlights another important consideration: the events should be tied to specific queries.

That allows the search engine to learn from the interplay between the different result sets and user interactions. It propels the summer dress higher in the search results for the “red dress” query.

The same product might be less popular for other queries than its neighbors.

When looking at your different events, you’ll want to weigh them differently, too.

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Clicking on a result is a sign of interest while making a purchase (or any other conversion metric) is a sign of commitment.

The ranking should reflect that.

The weighting doesn’t need to be complex.

You can go as simple as saying that conversions are worth double clicks.

You should test the right ratio for your own search.

You may also want to discount events based on the result ranking at the time the searcher saw it.

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We know that a result’s position influences its clickthrough rate (CTR).

Without discounting events, you may have a situation where the top results become even more entrenched because they get more interactions, which keep them ranked higher – and repeating infinitely.

Freshness And Seasonality

A simple way to combat this self-reinforcing loop is by discounting events based on the time passed since the event.

That happens because each event that occurred in the past has an increasingly small impact on re-ranking. That is, until, at some point, it has no impact at all.

For example, you might divide the impact of each event by two, each day, for 30 days. And after 30 days, stop using the event for ranking.

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A nice benefit of using freshness in the re-ranking algorithm is that it also introduces seasonality into the results.

Not only do you stop recommending videos that were extremely popular years ago but are boring to people today; you also will recommend “learn how to swim” videos in the summer, and “learn to ski” videos in the winter.

YouTube has seasonality and freshness built into its algorithm precisely for this purpose.

Using Signals To Re-rank

Now that you’ve got the signals and decaying them over time, you can apply them to the search results.

When we see “artificial intelligence,” we often think of something incredibly complex and inscrutable.

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AI, though, can also be as simple as taking data over time and using it to make decisions, like we’re doing here.

One easy approach is to take a certain number of results and simply re-rank them based on a score.

For performance reasons, this number of results will generally be fairly small (10, maybe 20). Then, rank them by score.

As we discussed above, the score could be as simple as adding up the number of conversions times two, plus the number of clicks.

Adding a decay function makes for more complexity, as does discounting based on result position – but the same general principle applies.

Learning To Rank

A drawback of this re-ranking system is that you are limited to re-ranking a smaller number of results.

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If you have a result that would otherwise be popular but isn’t ranking high, that result won’t get the attention it warrants.

This system also requires events on the records and the queries you want to re-rank.

It won’t work for brand new product launches or user-generated content (UGC) that often comes in and out of the search index.

Learning to rank (LTR) can address these issues.

Much like the re-ranking we’ve discussed above, LTR also works based on the idea that the records searchers interact with are better than the ones they don’t.

The previous re-ranking method works by boosting or burying results directly when tied to a specific query.

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Meanwhile, LTR is much more flexible. It works by boosting or burying results based on other popular results.

LTR uses machine learning to understand which queries are similar (e.g., “video games” and “gaming console”).

It can then re-rank results on the less popular queries based on interactions on the more common ones.

LTR doesn’t only generalize on queries; it generalizes on records, too.

The LTR model learns that a certain type of result is popular; for example, the Nintendo Switch game “Legend of Zelda: Breath of the Wild.”

Then, it can start to connect to other similar results (for example, “Legend of Zelda: Skyward Sword”) and boost those.

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Why, then, not just use LTR if it appears to be much more powerful than your typical re-ranking and provides more query and record coverage?

(In other words: It generalizes better.)

In short, LTR is much more complex and needs more specialized in-house machine learning (ML) expertise.

Additionally, understanding why certain results are ranked in certain places is more difficult.

With the first type of re-ranking, you could look at the number of clicks and conversions over time for one record compared to another.

Meanwhile, with LTR, you have an ML model that makes connections that may not always be obvious.

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(Are “Breath of the Wild” and “Sonic Colors” really all that similar?)

Personalization

While re-ranking works across all searchers, personalization is what it sounds like: personal.

The goal of personalization is to take results that are already relevant and re-rank them based on personal tastes.

While there is a debate on how much web search engines like Google use personalization in their results, personalization often impacts the performance of results in on-site search engines.

It is a useful mechanism for increasing search interactions and conversions from search.

Search Analytics

Just as with re-ranking, personalization depends on understanding how users interact with search results.

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By tracking clicks and conversions, you’ll have a clearer idea of the kinds of results that the user wants to see.

One significant difference between re-ranking and personalization on this front is that, depending on your search, you might want to adjust how you apply personalization.

For example, if you sell groceries, you definitely want to recommend previously purchased products.

But if your website sells books, you won’t want to recommend a book that a customer has already bought. Indeed, you may even want to move those books down in the search results.

It’s also true, however, that you shouldn’t push personalization so hard that users only see what they’ve interacted with before.

Search empowers both finding and discovery. So, if they return to the search bar, you should be open to the possibility that they want to see something new.

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Don’t rank results exclusively via personalization; make it a mix with other ranking signals.

Just as with re-ranking, personalization also benefits from event decay.

Decreasing the impact of older events makes a search more accurately represent a user’s current tastes.

In a way, you can think of it as personal seasonality.

Personalization Across Users

The kind of personalization we’ve seen so far is based on an individual’s own interactions, but you can also combine it with what others are doing inside search.

This approach shows an outsized impact on situations where the user hasn’t interacted with the items in the search results before.

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Because the user doesn’t interact with the search result items, you can’t boost or bury based on past interactions, by definition.

Instead, you can look at users that are similar to the current user and then personalize based on what they have interacted with.

For example, say you have a user who has never come to you for dresses but has purchased many handbags.

Then, you can look for other users who have similar tastes and have also interacted with dresses.

Intuitively, other customers who like the same type of handbags as our searcher should also like the same dresses.

Re-Ranking And Personalization For Discovery

Search is only one example of where re-ranking and personalization can make an impact. You can use these same tools for discovery as well.

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The secret is to think of your home page and category pages as search results.

Then, it’s clear that you can use the same tools you use for search and gain the same benefits.

For example, a home page is similar to a search page without a query, isn’t it? And a category landing page sure does look like a search page with a category filter applied to it.

If you add personalization and re-ranking to these pages, they can be less static. They will serve users what they prefer to see, and they can push items higher that are more popular with customers overall.

And don’t worry, personalization and re-ranking can mix with editorial decisions on these pages or inside search.

The best way to handle this is by fixing the desired results in certain places and re-rank around them.

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We’ve seen that personalization and re-ranking are two approaches that take user interactions with relevant signals to make search better.

You can let your user base influence the result by using the interactions.

Little by little, these interactions tell the search engine what items should be ranking higher.

Ultimately, searchers benefit from a better search experience, and you benefit from more clicks and conversions.

More resources:


Featured Image: amasterphotographer/Shutterstock

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How to Avoid Ruining SEO During a Website Redesign

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How to Avoid Ruining SEO During a Website Redesign

It’s too easy to break your SEO during a website redesign. Here’s a foretaste of what can go wrong:

  • Loss of rankings and traffic.
  • Loses of link equity.
  • Broken pages.
  • Sluggish page loading.
  • Bad mobile experience.
  • Broken internal links.
  • Duplicate content.

For example, this site deleted about 15% of organic pages (yellow line) during the redesign, which resulted in an almost 50% organic traffic loss (orange line). Interestingly, even the growth of referring domains (blue line) afterward didn’t help it recover the traffic.

Fortunately, it’s not that hard to avoid these and other common issues – just six simple rules to follow.

Easily overlooked but could save the day. A backup ensures you can restore the original site if anything goes wrong.

Ask the site’s developer to be prepared for this fallback strategy. All they will need to do then is redirect the domain to the folder with the old site, and the changes will take effect almost instantly. Make sure they don’t overwrite any current databases, too.

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It won’t hurt to make a backup yourself, too. See if your hosting provider has a backup tool or use a plugin like Updraft if you’re using WordPress or a similar CMS.

Testing your site for Core Web Vitals (CWV) and mobile friendliness before it goes live is the best way to ensure that your new site will comply with Google’s page experience guidelines.

The thing is, a website redesign can seriously affect site speed, stability, responsiveness, and mobile experience. Some design flaws will be quite easy to spot, such as excessive use of animations or layout not scaling properly on mobile devices, but not others, like unoptimized code.

Ask your site developer to run mobile friendliness and CWV tests on template pages as soon as they are ready (no need to test every single page) and ask for the report. For example, they should be able to run Google Lighthouse on a password-protected website.

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An SEO audit uncovers SEO issues on your site. And if you do it pre-and post-launch, you will easily spot any potential new problems caused by the redesign, especially those that really matter, such as:

  • Unwanted noindex pages.
  • Sites accessible both as http and https.
  • Broken pages.

So before the new site goes, click on New crawl in Site Audit and then again right after it goes live.

Starting a new crawl in Site Audit.Starting a new crawl in Site Audit.

Then after the crawl, go to the All issues report and look at the Change column – new errors found between crawls will be colored red (fixed errors will be green) .

Change column in All issues report. Change column in All issues report.

You might want to give some issues higher priority than others. See our take on the most impactful technical SEO issues.

Tip

You can access the history of site audits by clicking on the project’s name in Site Audit.

How to access crawl history in Site Audit (1).How to access crawl history in Site Audit (1).
How to access crawl history in Site Audit (2).How to access crawl history in Site Audit (2).

By URL structure, I mean the way web addresses are organized and formatted. For example, these would be considered URL structure changes:

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  • ahrefs.com/blog to ahrefs.com/blog/
  • ahrefs.com/blog to ahrefs.com/resources/blog
  • ahrefs.com/blog to blog.ahrefs.com
  • ahrefs.com/site-audit to ahrefs.com/site-audit-tool

Altering that structure in an uncontrolled process can lead to:

  • Broken redirects: redirects leading to non-existing or inaccessible pages.
  • Broken backlinks: external links pointing to deleted or moved pages on your site.
  • Broken internal links: internal site links that don’t work, hindering site navigation and content discoverability.
  • Orphan pages: pages not linked from your site, making them hard for users and search engines to find.

Naturally, you should keep the old URL structure unless you’re absolutely sure you know what you’re doing. In this case, you will need to put some redirects in place. On top of that, make sure to submit a sitemap via Google Search Console to help Google reflect changes on your site faster.

Tip

Google also advises submitting a new sitemap if you’re adding many pages in one go. You may want to do that if that’s the case in your redesign project.

Redesigns often include some kind of content pruning or simply arbitrary deleting of older content. But whatever you do, it’s crucial that you keep the pages that are already ranking high.

Traffic is one reason, but since these pages are already ranking, chances are they’ve got some backlinks you risk losing.

To make sure you’re not cutting out the good stuff, use two reports in Ahrefs’ Site Explorer: Top pages and Best by links.

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Top pages report is a list of all the pages on your site ranking in the top 100, appended with SEO data and sorted by traffic by default. So, just one click on your left-hand side, and you’ll see a list of your best “traffic generators”.

Top pages report in Ahrefs' Site Explorer.Top pages report in Ahrefs' Site Explorer.

The Best by links report follows the same logic, but the focus is on links (both external and internal) and it shows all crawled pages on your site (not only the ones ranking in top 100).

Best by links report in Ahrefs' Site Explorer.Best by links report in Ahrefs' Site Explorer.

You can also plug in any page in Ahrefs’ Site Explorer and see whether it can be cut without any damage to the site’s organic performance.

Looking up single page organic performance in Site Explorer. Looking up single page organic performance in Site Explorer.

Recommendation

If part of the redesign is an inventory cleanup, you can still get traffic to products you don’t offer anymore if you create an “archive” page and link to a place where visitors can find more similar products. E-commerce sites and hardware brands do that regularly.

Example of an archive page. Example of an archive page.

This way, you can still rank for related terms, and the user experience is better than simply redirecting old products to new products.

Lastly, if you find yourself in a situation where the new design imposes significant changes to your top-ranking pages, take extra caution when altering these elements:

Final thoughts

While an overall site redesign might sound like a good moment to introduce some SEO, you need to think about the traffic and backlink equity the site has already earned. If you change too much in one go, you won’t know what worked and why, and maybe more importantly, what didn’t work and how to fix it.

Truth is, SEO is always about experimentation. You can have a well-educated guess, but you can never really know what will happen.

Want to share your SEO story here? Let me know on X or LinkedIn.

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There’s No Such Thing as “Accurate” Search Volume

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There’s No Such Thing as “Accurate” Search Volume

I often post my favorite new Ahrefs features on X. And last time I announced our newest addition to Keywords Explorer, someone replied with this:

Which was not the first time I saw us being criticized for the accuracy of our search volume metric.

But here’s the kicker…

There’s NO SUCH THING as an accurate search volume:

  • The volumes in Google Keyword Planner aren’t accurate.
  • The “Impressions” in GSC aren’t accurate either.
  • And the metric itself is just an average of the past data.

I already published a pretty detailed article about the search volume metric back in 2021. But I don’t think too many people have read it.

“Everything that needs to be said has already been said. But since no one was listening, everything must be said again.”

André Gide

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So let me address this topic from a whole new angle.

First of all, what do SEOs even mean when they ask for search volumes to be “accurate?”

Well, the less experienced folks just want the metrics in third-party tools to match what they see in Google Keyword Planner (GKP).

But the more experienced ones already know all Google Keyword Planner’s Dirty Secrets:

  • The numbers are rounded annual averages.
  • Those averages are then assigned to “volume buckets.”
  • Keywords with similar meaning are often grouped together and their search volume summed up.

In other words, the search volume numbers that you see in GKP are very imprecise. And once SEOs learn that, they no longer use GKP as their baseline of accuracy.

They use GSC.

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Ok. So the numbers in GKP are rounded and bucketed and clustered together and all that. But Google Search Console (GSC) shows you the actual impressions for a given keyword, right?

Well, did you know that a simple rank-tracking tool can easily pollute your GSC impressions?

Think of how many different “robots” might be scraping the search results for a given keyword, and therefore giving you a fairly inaccurate impression of its real (human-driven) search volume.

And besides, in order to see the actual monthly search volume your page has to be ranking at the top 10 for thirty days straight. And it should rank nationwide, just in case the search results might differ based on the location.

On top of that, I’m sure GSC is no different from any other analytics tool in the sense that it might have certain discrepancies in “counting” those impressions. I mean, go compare the “Clicks” you see reported by GSC with your server log files. I bet the numbers won’t match.

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How much time do you think would pass between you selecting a certain keyword to rank for and actually having your page rank at the top of Google for it?

According to our old research, it could be anywhere from two months to a year for a newly published page to get to the top. Don’t you think the monthly search volume of a given keyword will change by then?

That’s actually the exact reason why we’ve added search volume forecasting to our Keywords Explorer tool. It uses past data to project what would likely happen to search volume in the next 12 months:

Is it accurate? No.

But does it help to streamline your keyword research and make better decisions? Absolutely.

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Let’s do a thought experiment and imagine that there was an SEO tool which would give you a highly precise search volume for any keyword. What would you use it for? Would you be able to accurately predict your search traffic from that keyword?

No!

You can’t know for sure at which position your page will end up ranking. Today it’s #3, tomorrow it’s #5, the day after is #1. Rankings are volatile and you rarely retain a given position for a long enough period of time.

And even if you did: you can’t get precise data on the click-through rate (CTR) of each position in Google. Each SERP is unique, and Google keeps rolling out more and more SERP features that steal clicks away. So even if you knew precisely the search volume of a keyword and the exact position where your page would sit… you still would not be able to calculate the accurate amount of search traffic that you’ll get.

And finally…

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Pages don’t rank for a single keyword! Seven years ago we published a study showing that a typical page that ranks at the top of Google for some keyword would actually rank for about a thousand more related keywords.

So what’s the point of trying to gauge your clicks from a single keyword, when you’ll end up ranking for a thousand of them all at the same time?

And the takeaway from all this is…

Here at Ahrefs we spend a tremendous amount of time, effort and resources to make sure our keyword database is in good shape, both in terms of its coverage of existing search queries, and the SEO metrics we give you for each of these keywords.

None of our SEO metrics are “accurate” though. Not search volume, nor keyword difficulty, nor traffic potential, you name it.

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But none of them can be.

They’re designed to be “directionally accurate.” They give you an overall idea of the search demand of a given keyword and if it’s a lot higher (or lower) compared to some other keywords which you are considering.

You can’t use those metrics for doing any precise calculations.

But hundreds of thousands of SEO professionals around the world are using these exact metrics to guide their SEO strategies and they get precisely the results that they expect to get.



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5 Key Enterprise SEO Trends For 2024

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5 Key Enterprise SEO Trends For 2024

SEO has undergone many transitions and disruptions in a short time.

Enterprise SEO has been at the center of some fundamental transformations over the past year.

Adapting to the ever-changing needs and demands of consumers, integrating AI into search engines, and the influx of new generative AI SEO and content tools have forced organizations to adapt and evolve their marketing strategies.

In this article, I will delve deeper into five key enterprise SEO trends for 2024 with tips to help you keep pace with change and prepare for future success accordingly.

What Is Enterprise SEO?

Enterprise SEO is typically associated with implementing SEO strategies within large-scale organizations.

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It predominantly applies to sizable brands with multiple departments and complex infrastructures. This can include large – and multiple – websites that offer a diverse array of products and services.

One of the key differences between standard SEO and enterprise SEO is the need for the workflow management of stakeholders, strategic planning, and ensuring strategies align with an organization’s broader – and, in many cases, multiple – objectives.

How Enterprise SEO Has Changed

In 2024, enterprise SEO trends will be shaped by technological advancements, changing user behaviors, and the evolving search landscape.

It’s no secret that the way search engines utilize generative AI to create new user experiences is changing how enterprises look at, and understand, what is happening in the search engine results pages (SERPs).

This includes shifting from pure keyword research leveraging data-led insights to understanding conversational intent that triggers search results.

Whether you are searching via traditional results or in Google SGE labs, results now contain more sources and multiple content formats. As a result, enterprises must become more innovative and proactive in their SEO and content marketing approaches.

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The great thing to see is that the role of SEO is growing and expanding in this new AI era.

Image from author, February 2024SEO and AI becoming priority in 2024

5 Essential Enterprise SEO Trends To Watch In 2024

1. Understanding Market Shift And Ever-Evolving Consumer Preferences

SEO is such a dynamic and intense discipline that, for the majority, it can be a ‘heads down,’ laser-focused, task-by-task approach.

However, especially when we look at enterprise SEO and large-scale projects, it is essential to take a step back and ensure you have a pulse on what is happening at a macro level.

For enterprise SEO experts, it is crucial to stay on top of the latest trends and developments in consumer behavior, especially during economic shifts. These shifts can significantly impact how businesses align their more extensive SEO and content strategies to match business objectives.

For example, the pandemic saw rapid shifts in shopping preferences for products related to staying at home.

In any era-changing economic conditions, the importance of SEO reaches an all-time high due to its cost efficiencies and compounding returns, such as branding and data-driven insights into products and all major digital strategies such as paid search, email, and social.

  • Market conditions can force organizations to prioritize specific competitor strategies.
  • Search algorithm updates may prioritize credibility and authoritative sources, which means content should be optimized accordingly. I will share more on this later in this article.
  • Economic changes can also accelerate the use of new technologies, requiring businesses to be flexible and adaptable, and exercise caution in adoption.

Enterprise SEO pros must liaise with key management stakeholders monthly to ensure their strategies align with key business priorities to avoid going down unproductive pathways.

You must use data analytics effectively to understand target audiences and what is changing.

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As enterprise SEO is a multi-stakeholder discipline, insights must be fed into organizational strategies to create more holistic, not just channel-agnostic, individualized experiences.

These can range from lead magnets that take the form of tailored marketing communications to customized product content and campaigns.

2. Using Generative AI For SEO And Content: Managing Risk Vs. Reward

According to Bloomberg Intelligence, by 2032, generative AI will be worth $1.3 trillion. Additionally, Gartner research shows that SEO and content marketing are two of the highest areas of increased investment.

5 Key Enterprise SEO And AI Trends For 20245 Key Enterprise SEO And AI Trends For 2024

Numbers vary depending on the source, but if you drill down, well over 2,000 generative content AI tools are flooding the market. No doubt you hear about a new one in the news every week!

The challenge for enterprise SEO pros who want to boost content productivity and performance lies in balancing the risk versus reward of using these tools.

Risk: Some of the content generative tools focus on velocity over quality. This is challenging for the consumer and search engines and limits the chance of your brand being discovered in a sea of nonsense.

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This is because they are based on single-source, low-quality data sources that are not trained to understand your audience’s needs and wants. They have no understanding of what works in content & SEO.

For brands, this means the content can get buried below irrelevant, low-quality spam-like articles. Over time, I expect Google to solve this.

In addition, as a result, we are seeing more and more government and organization institutions building ethical AI and content creation guidelines and standards related to data use, regulation, and governance.

Always remember the risks.

  • Generative AI has severe limitations and liabilities, including the tendency to “hallucinate” by fabricating information when it doesn’t have an answer.
  • It can state misinformation so convincingly a reader new to the topic may believe it to be fact.
  • It lacks creativity and produces output that tends to be generic and formulaic.
  • The content produced is only as good as the input (prompts) and oversight (editorial process) –garbage in, garbage out.

Reward: On the flip side, if correctly used, generative AI tools can help improve content productivity and scale content for SEO campaigns.

  • Help give valuable insights and inspiration: The cornerstone of successful campaign development is the strategic generation of ideas. Marketers can create compelling content by using generative AI to uncover popular search terms, monitor social media trends, and discover unique angles and ideas.
  • Accelerate content production creation efficiency: Generative AI can also help segment audiences based on demographics, preferences, and behaviors, enabling you to tailor personalization strategies and unique experiences. It can also assist in timely (short-from) email marketing and crafting specific messages for each key target audience.
  • Scale productivity and performance: For enterprise SEO pros who use platforms rather than multiple tools with disparate data sources, AI-generated content can be created in one platform that also helps you streamline workflows. Due to built-in privacy considerations and guardrails, platform-specific generative AI tools are likely safer to use. They can create content based on your existing assets and utilize high-fidelity and secure data based on search and content patterns. These are helpful for efficient content discovery and distribution, allowing you to focus on strategy and creation.

Recommendations from all-in-one platforms also act as a content and SEO best practice assistant.

3. Preparing For Search Generative Experiences: Your Content And Your Brand

The transition to Search Generative Experiences (SGE) marks the most substantial transformation in the history of search engines – and a seismic shift that will impact all industries, affecting every company and marketer globally.

SGE represents a paradigm shift in SEO, moving beyond traditional keyword-based tactics to embrace the power of generative AI.

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5 Key Enterprise SEO And AI Trends For 20245 Key Enterprise SEO And AI Trends For 2024

As AI emerges and becomes almost a “mediator” between a company’s content and its users, one search can produce results that would have previously taken five separate searches.

Take retail shopping as an instance: AI will start to recommend a complete shopping experience that gives consumers an experience that contains many channels and sources and multiple forms of media.

For consumers, this promises deeper and more interactive experiences, leading to increased engagement and time spent on Google.

For brands, it means higher value clicks once a consumer is ready to visit your website.

I have been monitoring this (at BrightEdge) for a long time. I see experiments in critical areas that you should keep an eye on! For example:

  • Testing of over 22 new content formats in SGE results.
  • There are many warnings in the healthcare and YMVL industries, as Google is exercising caution.
  • New visual content formats are used in industries such as e-commerce.
  • More reviews are being added to results in areas like entertainment.
  • There is a big focus on places (local) being integrated into results.

To help SEJ readers and the whole community, you can view for free (ungated) the data behind all these findings and a step-by-step guide to understanding this Ultimate Guide to SGE.

Note: This is still in Google Labs and has not been rolled yet. However, from the above, I firmly predict this is a matter of when, where, and how it will proceed.

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4. Understanding And Adapting To New Search Behaviours: Data And Conversational Intent

Utilizing data to grasp user behavior and the underlying intent in conversations will be crucial for SEO success in both traditional and AI-driven search results.

Search is becoming conversational, and marketers must focus on user intent, advancing their understanding of their audience from simple keyword optimization to grasping conversational intent and extended phrases.

For users, this translates into more captivating and immersive experiences, leading to increased time spent on Google. This optimizes their search, guiding them swiftly to the most pertinent websites that cater to their unique needs.

For marketers, navigating your search presence becomes more intricate yet more fruitful. Anticipate reduced but higher-quality web traffic. Identifying key searches that activate various types of results is essential.

Clicks will carry greater monetary value due to enhanced conversion rates. This is because consumers are more ready to act after being informed and influenced by prior interactions and data from Google.

Marketers need to guarantee that their content strategy not only answers the specific query but also considers the broader context in which the query is made. This will help ensure targeted and effective engagement with users.

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However, the core fundamentals of technical and website SEO remain the same. They will become more critical as marketers shift to optimizing their sites for higher-value traffic and clicks.

  • Ensure your site is fast and responsive, it is structured, and the content is optimized for human readers. It should be structured to answer their questions in the most engaging and user-friendly way.
  • Ensure your content assets are primed for conversion with clear CTAs.

Focusing on contextual signals will be vital for content marketers who want to maximize performance.

For example, schema markup, E-E-A-T, and HCU (even though not regarded as ranking factors) are vital, so search engines and users send signals so they can understand the context behind your site and content.

  • Leverage data to decode user behavior and the intent behind conversations, using this insight as a catalyst for generative AI outcomes.
  • Develop and refine various content types, such as videos and images, to enhance engagement.
  • Coordinate marketing efforts across paid media, social platforms, and public relations to create a unified content campaign strategy.
  • Concentrate on tracking metrics like traffic and converting high-quality down-funnel traffic as consumers spend more time on Google before making informed decisions and visiting your website.

And, as I know, you are now thinking. Yes, SGE could mean slightly less but more qualified traffic.

5. Managing Omnichannel Marketing: Managing SEO And Multiple Marketing Disinclines

SEO has long shifted from being a siloed channel, but enterprises must make changes now as consumers and search engine demands drive the need for even closer collaboration.

Given that the SERPs and AI-generated SGE results encompass a variety of media types and formats – including social media, reviews, and news sources – content marketers will need to get closer than ever to their SEO, digital branding, design, social media, and PR teams.

Google search for [food delivery near me]Screenshot for search for [food delivery near me], Google, February 2024Google search for [food delivery near me]

Consumers are no longer consuming media in silos, and that means marketers cannot operate SEO and digital marketing in silos. More than managing PPC and SEO campaigns with a bit of social media will be required in 2024.

This is especially true as AI-powered results contain multiple formats and sources. Whether you are a big brand or not, whoever provides the best experience will win in 2024 – so expect some curveballs from your competition.

This means the relationships between people, processes, and technology must change.

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Make sure you are aligning your teams and managing workflows across:

  • Design – Images and video.
  • Branding and PR – Messaging and company reputation.
  • Content – From text to design to social.
  • SEO – PPC and Website teams.
  • Customer Service teams – For reviews.
  • Sales teams for advice on down-funnel CTAs on your site.

For enterprise SEO pros, platforms are the only way you can do this.

Key Takeaways For Enterprise SEO Success In 2024

SEO today is going to be different than SEO tomorrow. SEO tomorrow will be different than the search in March.

Search and AI todayImage from author, February 2024Search and AI today

Change is the core constant we all share in this industry. Time has shown us that those who keep up with trends and adapt quickly survive and thrive.

As SEO advances alongside AI, keep a core focus on monitoring consumer behavior.

Never forget many of the core principles of SEO still apply, but be ready to help your organization become more agile so your success in enterprise SEO and AI is guaranteed.

In 2024, regardless of the search source, once a consumer clicks, brands that give them the best experience win.

More resources:

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Featured Image: Sutthiphong Chandaeng/Shutterstock

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