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9 Best Use Cases (And 4 Suboptimal Ones)

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9 Best Use Cases (And 4 Suboptimal Ones)

I’ll have to admit: ChatGPT is cool. I don’t think we expected AI to come this far so soon.

But it doesn’t mean every free “ChatGPT prompt” ebook you see on Gumroad is the future. Many of the use cases are simply engagement bait.

So in this post, we’ll look at the actual best use cases of ChatGPT for SEO. I’ll also cover cases where you shouldn’t use ChatGPT.

Editor’s Note

Prefer watching a video instead? Here’s Sam Oh on the best and worst cases of ChatGPT for SEO:

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Si Quan Ong

Here are some of our favorite ChatGPT use cases for SEO that we have found at Ahrefs.

1. Construct regex

A regular expression (regex) is a sequence of characters used to find patterns within text. For example, the pattern /b[aeiou]t/ will find words like “bat, bet, bit, bot, but” on a page.

If we want to find keywords phrased as a question in Google Search Console (GSC), we can ask ChatGPT:

What is the regular expression to show matches that contain any of the following words in it: how, what, who, when, where, why, do? These words should be the first word in the match.

And here’s ChatGPT’s answer:

Prompt for ChatGPT to create a regular expression

With this answer, we can go to GSC and paste the custom regex with the Query filter:

Query filter with custom regex in Google Search Console

Then, we’ll set the Positions filter to >10 and sort the list in ascending order. 

Google Search Console Performance report, sorted by positions

We now have a list of informational keywords we can work on to bring those pages from page two to page one of Google.

2. Create automations

ChatGPT can write code too.

If you’re tech-savvy, you’ll already see plenty of ways to use this to improve your processes. Here’s a quick example. 

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Let’s say you’re working on a link building campaign. You’ve collected the URL, domain, and first and last names of the authors you want to contact. Now you want to find their emails.

The inefficient method is to go through them one by one in a web app or Chrome Extension. The better way would be to code something in App Scripts to connect to an email-finding API, like Hunter.io.

We can use ChatGPT to write the code. Here’s a sample prompt:

Using Hunter.io’s Email Finder API, write a function called findEmail in Google Appscripts to return a person’s email address. If no email exists, then return “THEY DON’T WANT TO BE CONTACTED.” I will provide the first name, last name, and domain name. BTW, my API key is [MUTED]. Go!

ChatGPT's answer when prompted to create a function for Google App Scripts

Then, we’ll take the generated code and open App Scripts:

  • First, paste in the code, save the file, and go back to the Google Sheets. 
  • In the email column, type in “findEmail,” open parentheses, click the first name, last name, and the domain. 
  • Then hit enter. 
  • As for the rest of the list, just drag the formula down.
Finding emails at scale using the generated ChatGPT code in Google Sheets

This is merely the tip of the iceberg. There are plenty more you can do—for example, SEOs are combining it with Python to do tons of cool stuff:

3. Whip up quick snippets of code

ChatGPT’s ability to write code means you can use it to quickly create snippets of code, such as schema markup:

Generated schema markup from ChatGPT

And hreflang snippets:

Generated hreflang code from ChatGPT

More examples in the article below.

4. Write click-worthy titles

Writing the perfect headline can take longer than you think. So we can use ChatGPT to create click-worthy titles in seconds—and it outperforms human-written titles:

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You can use ChatGPT to write click-worthy titles for your blog posts, podcasts, or YouTube videos. For best results, give it a working title. 

Here’s a sample prompt:

Write 10 click-worthy titles for my blog post on the best marketing books. My working title is Best Marketing Books.

Titles generated by ChatGPT for a post on best marketing books

You can also ask ChatGPT to front-load keywords or make your titles sound like someone else. So let’s ask ChatGPT to make the above titles sound like Tim Ferriss:

ChatGPT prompt to create article titles that sound like Tim Ferriss

Pretty cool.

5. Create quick outlines

If you like any of the titles ChatGPT suggested, you can ask it to create an outline. I’m sure many SEOs are salivating at the thought of using ChatGPT to create content briefs (or even blog posts—more on that later). But my point is this: think of ChatGPT as your creative sparring partner

I like #7 from the above example, so let’s ask ChatGPT to expand on it:

Generated blog post outline by ChatGPT

It’s a decent outline, but there’s a problem: It’s repetitive. For example, I won’t organize the outline like this. Instead, I’ll probably make each book the H2, then go into the details (summary of the book, some key takeaways, how I used the takeaway to improve my marketing and career, etc.). 

The suggested intro seems boring too—I’ll probably start with the story of my transformation rather than sound so academic and prescriptive.

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By the way, I’m interested in ChatGPT’s book recommendations, so I’ll ask it to expand on II:

Book recommendations from ChatGPT

Again, decent suggestions that you’ll find on many marketing booklists. I agree with the recommendations, but my honest opinion is that everyone probably already knows these books. Of course, you don’t want to lie if these books really transformed your career. But if there are lesser-known ones, you’ll do better highlighting them.

Otherwise, you’re just like everyone else, and there’s no point in reading your content.

In summary, use ChatGPT as your ideation partner, but don’t rely on its suggested content 100%.

6. Suggest seed keywords

We don’t recommend using ChatGPT to do keyword research (more on that later), but that’s not to say it isn’t a good way to gather potential seed keywords

For example, we can ask ChatGPT to give us “technical terms related to coffee”:

Technical terms related to coffee generated by ChatGPT

We can then use these terms as “seed keywords” to find more keyword ideas in Ahrefs’ Keywords Explorer:

Matching terms report, via Ahrefs' Keywords Explorer

7. Generate short-form content

No matter how much you love writing, some types of content are just boring to create. Examples include meta descriptions, product descriptions, ad copy variations, and more. 

For example, we have almost 300 pages on our site that don’t have meta descriptions

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Finding pages without meta descriptions, via Ahrefs' Site Audit

So rather than bother someone on our marketing team to spend their day crafting meta descriptions, we can ask ChatGPT to do it for us. Let’s ask it to write a meta description for our page on “how to use Keywords Explorer”:

Meta description for "how to use Keywords Explorer," generated by ChatGPT

Pretty good!

8. Proofreading

If you work with freelance writers regularly, you can use ChatGPT to proofread their work.

For example, in 2022, we tested the quality of a few freelance writers based on their rates. 

So let’s say we like the general direction of the writer’s work, except that their language is lacking. We can take parts of the post and ask ChatGPT to proofread it. And voila, in a few seconds, ChatGPT has improved it.

ChatGPT proofreading and improving written content

9. Rewrite sentences

Novelist Vladimir Nabokov once said:

I have rewritten—often several times—every word I have ever published. My pencils outlast their erasers.

We don’t use pencils and erasers today, but the sentiment remains the same—the act of creating content is simply the magic of rewriting sentences over and over again. 

Again, we can use ChatGPT as our creative sparring partner. Ask it to rewrite our sentences in various ways so we can see different perspectives on how to communicate ideas:

For example, I’m a huge fan of Kurt Vonnegut, so let’s ask ChatGPT to rewrite my intro like the American writer:

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Prompting ChatGPT to rewrite an intro like Kurt Vonnegut

True to the style of fiction writing, the language is more flowery and ChatGPT uses more adjectives. Interesting, but not the tone of Ahrefs. Let’s try again and, this time ‘round, we’ll ask ChatGPT to be more persuasive:

Prompting ChatGPT to rewrite an intro to be more persuasive

Now my content feels more rah-rah. It’s pretty cool to know that your writing is just one of many options you can choose from.

Finally, let’s ask ChatGPT to rewrite it in a sarcastic tone:

Prompting ChatGPT to rewrite an intro to be more sarcastic

Maybe I’m secretly British, but I like this. I don’t think I’ll use it. But, again, it helps spark new ideas.

Less-than-ideal use cases

Although ChatGPT has a number of good use cases for SEO, it also has a few less-than-ideal use cases (at least for now). 

Here are some examples:

10. Content creation

Many SEOs are excited over the fact that ChatGPT can create content. Some SEOs believe they can now unleash a deluge of AI content and hope to rank high on Google.

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But there are a few problems with this:

First, when you ask ChatGPT to write you a full article, the content is almost always going to come out as boilerplate content. For example, when we asked ChatGPT to create a 1,500-word blog post on the same topic, it generates this:

A 1,500-word blog post generated by ChatGPT

It’s no surprise—after all, that’s how it was trained; it basically summarizes the internet. 

There’s nothing wrong with this. Many freelance writers do the same too—they create content by “summarizing” the top-ranking pages. So ChatGPT can now do the same at a fraction of the speed and cost.

But it doesn’t mean it’s a good thing. Sure, you can now create hundreds of copycat articles in a few hours, but what’s the business value behind doing this? 

SEO is ultimately a marketing channel—it exists to drive customers to your business. So even if your AI content ranks high on Google but your target audience never consumes it and never takes the next steps to convert, is there a point?

Second, ChatGPT lacks expertise, experience, and originality. If you look at the generated article, it’s clear that it’s generic and helps no one. With Google now focusing on E-E-A-T, you’ll have to make sure your content demonstrates first-hand experience and expertise—both ChatGPT can’t do (yet).

Your content also needs to stand out. Everyone’s using ChatGPT to create the same ol’ boring content. Why should anyone choose to read, link, or share your content over the rest? Ultimately, you still need human intervention and originality—you need to inject “information gain”:

 And more.

Third, the danger of getting ChatGPT to create content is that you may end up plagiarizing. Major sites like CNET and Bankrate were experimenting with publishing AI content as-is and were caught plagiarizing:

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A Futurism article on CNET's AI journalist committing plagiarism

Fourth, ChatGPT is perfectly capable of making up information. There are plenty of examples where ChatGPT:

Finally, ChatGPT is more than often providing out-of-date information. The limits of its current training are only up till 2021, which means it (theoretically) can’t know about the latest happenings:

ChatGPT doesn't have real-time information

Sidenote.

It may not be true, as it’s proven that ChatGPT is learning things after 2021.

11. Keyword research

A popular use case among SEOs is to ask ChatGPT for long-tail queries.

For example, here are 10 long-tail keywords for the “golf” niche suggested by ChatGPT: 

Long-tail keywords for the golf niche, generated by ChatGPT

It looks decent at first glance, but plugging them into Ahrefs’ Keywords Explorer shows us that none of them have any search demand:

No search volumes for the long-tail keywords generated by ChatGPT, via Ahrefs' Keywords Explorer

Even Google Trends shows no data:

No interest for the long-tail keywords generated by ChatGPT, via Google Trends

That is not to say you can’t target them. Plenty of SEOs believe in targeting “zero-volume keywords.” However, bear in mind that the chance of a low- or zero-volume keyword getting significantly more searches than estimated is extremely low. 

Less than 1% of the zero-volume keywords we rank for drove more than 100 monthly impressions

So if you want quality data, your best bet is still to use a professional keyword tool like Keywords Explorer. If you’re looking for a few random ideas, then ChatGPT can fit that use case.

Another popular keyword research prompt is to ask ChatGPT for “easy to rank for” queries. In our opinion, that is a bad prompt because keyword difficulty involves analyzing the SERPs, the competition, the quantity and quality of backlinks, and the actual content of the top-ranking pages.

Unfortunately, ChatGPT can neither browse the SERPs nor the web:

ChatGPT can't browse Google SERPs
ChatGPT can't browse the web

So it cannot accurately analyze ranking difficulty based on its limitations.

12. Search intent classification

To identify search intent accurately, you need to actually look at the SERPs themselves—you’ll have to analyze the top-ranking pages and their content, look at SERP features, and more—to come to a reasonable conclusion on intent class.

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The first problem is this: As seen above, ChatGPT can’t browse SERPs.

The second issue: SEOs who do this analysis don’t always agree with each other. For example, in 2022, three of our marketers (Sam Oh, Patrick Stox, and Joshua Hardwick) picked five random keywords and attempted to assign an “intent bucket” to the keywords. 

All of them had slightly different opinions on each keyword.

The Ahrefs marketing team's opinions on search intent for different keywords
The four search intent classifications are Informational [I], Navigational [N], Commercial investigation [C], and Transactional [T].

So we can’t rely on ChatGPT to provide “intent analysis” as an authoritative source when even experienced SEOs disagree with each other.

Finally, since ChatGPT’s training data only goes up till 2021, it can’t (theoretically) update itself on changes in search intent beyond that period. For example, there have been significant changes on the SERPs for “bird flu”—with intent fracturing to feature more of the latest news:

Search intent and SERPs changes for "bird flu," via Ahrefs' Keywords Explorer

Editor’s Note

Si Quan Ong

13. Local SEO

Miriam Ellis, a local SEO expert, asked ChatGPT a few common local SEO questions. It offered less-than-ideal answers, such as encouraging her to violate Yelp’s guidelines, promulgate persistent local SEO myths, and more.

I highly recommend reading her article to find out why ChatGPT isn’t ideal for local SEO.

Final thoughts

Now that we have handpicked the best SEO use cases for you, your next step is to start implementing these tactics and use ChatGPT as your ideation partner or to improve your SEO processes.

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Did I miss out on any prompts or use cases? Let me know on Twitter or LinkedIn.



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Google On Hyphens In Domain Names

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What Google says about using hyphens in domain names

Google’s John Mueller answered a question on Reddit about why people don’t use hyphens with domains and if there was something to be concerned about that they were missing.

Domain Names With Hyphens For SEO

I’ve been working online for 25 years and I remember when using hyphens in domains was something that affiliates did for SEO when Google was still influenced by keywords in the domain, URL, and basically keywords anywhere on the webpage. It wasn’t something that everyone did, it was mainly something that was popular with some affiliate marketers.

Another reason for choosing domain names with keywords in them was that site visitors tended to convert at a higher rate because the keywords essentially prequalified the site visitor. I know from experience how useful two-keyword domains (and one word domain names) are for conversions, as long as they didn’t have hyphens in them.

A consideration that caused hyphenated domain names to fall out of favor is that they have an untrustworthy appearance and that can work against conversion rates because trustworthiness is an important factor for conversions.

Lastly, hyphenated domain names look tacky. Why go with tacky when a brandable domain is easier for building trust and conversions?

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Domain Name Question Asked On Reddit

This is the question asked on Reddit:

“Why don’t people use a lot of domains with hyphens? Is there something concerning about it? I understand when you tell it out loud people make miss hyphen in search.”

And this is Mueller’s response:

“It used to be that domain names with a lot of hyphens were considered (by users? or by SEOs assuming users would? it’s been a while) to be less serious – since they could imply that you weren’t able to get the domain name with fewer hyphens. Nowadays there are a lot of top-level-domains so it’s less of a thing.

My main recommendation is to pick something for the long run (assuming that’s what you’re aiming for), and not to be overly keyword focused (because life is too short to box yourself into a corner – make good things, course-correct over time, don’t let a domain-name limit what you do online). The web is full of awkward, keyword-focused short-lived low-effort takes made for SEO — make something truly awesome that people will ask for by name. If that takes a hyphen in the name – go for it.”

Pick A Domain Name That Can Grow

Mueller is right about picking a domain name that won’t lock your site into one topic. When a site grows in popularity the natural growth path is to expand the range of topics the site coves. But that’s hard to do when the domain is locked into one rigid keyword phrase. That’s one of the downsides of picking a “Best + keyword + reviews” domain, too. Those domains can’t grow bigger and look tacky, too.

That’s why I’ve always recommended brandable domains that are memorable and encourage trust in some way.

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Read the post on Reddit:

Are domains with hyphens bad?

Read Mueller’s response here.

Featured Image by Shutterstock/Benny Marty

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Reddit Post Ranks On Google In 5 Minutes

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Google apparently ranks Reddit posts within minutes

Google’s Danny Sullivan disputed the assertions made in a Reddit discussion that Google is showing a preference for Reddit in the search results. But a Redditor’s example proves that it’s possible for a Reddit post to rank in the top ten of the search results within minutes and to actually improve rankings to position #2 a week later.

Discussion About Google Showing Preference To Reddit

A Redditor (gronetwork) complained that Google is sending so many visitors to Reddit that the server is struggling with the load and shared an example that proved that it can only take minutes for a Reddit post to rank in the top ten.

That post was part of a 79 post Reddit thread where many in the r/SEO subreddit were complaining about Google allegedly giving too much preference to Reddit over legit sites.

The person who did the test (gronetwork) wrote:

“…The website is already cracking (server down, double posts, comments not showing) because there are too many visitors.

…It only takes few minutes (you can test it) for a post on Reddit to appear in the top ten results of Google with keywords related to the post’s title… (while I have to wait months for an article on my site to be referenced). Do the math, the whole world is going to spam here. The loop is completed.”

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Reddit Post Ranked Within Minutes

Another Redditor asked if they had tested if it takes “a few minutes” to rank in the top ten and gronetwork answered that they had tested it with a post titled, Google SGE Review.

gronetwork posted:

“Yes, I have created for example a post named “Google SGE Review” previously. After less than 5 minutes it was ranked 8th for Google SGE Review (no quotes). Just after Washingtonpost.com, 6 authoritative SEO websites and Google.com’s overview page for SGE (Search Generative Experience). It is ranked third for SGE Review.”

It’s true, not only does that specific post (Google SGE Review) rank in the top 10, the post started out in position 8 and it actually improved ranking, currently listed beneath the number one result for the search query “SGE Review”.

Screenshot Of Reddit Post That Ranked Within Minutes

Anecdotes Versus Anecdotes

Okay, the above is just one anecdote. But it’s a heck of an anecdote because it proves that it’s possible for a Reddit post to rank within minutes and get stuck in the top of the search results over other possibly more authoritative websites.

hankschrader79 shared that Reddit posts outrank Toyota Tacoma forums for a phrase related to mods for that truck.

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Google’s Danny Sullivan responded to that post and the entire discussion to dispute that Reddit is not always prioritized over other forums.

Danny wrote:

“Reddit is not always prioritized over other forums. [super vhs to mac adapter] I did this week, it goes Apple Support Community, MacRumors Forum and further down, there’s Reddit. I also did [kumo cloud not working setup 5ghz] recently (it’s a nightmare) and it was the Netgear community, the SmartThings Community, GreenBuildingAdvisor before Reddit. Related to that was [disable 5g airport] which has Apple Support Community above Reddit. [how to open an 8 track tape] — really, it was the YouTube videos that helped me most, but it’s the Tapeheads community that comes before Reddit.

In your example for [toyota tacoma], I don’t even get Reddit in the top results. I get Toyota, Car & Driver, Wikipedia, Toyota again, three YouTube videos from different creators (not Toyota), Edmunds, a Top Stories unit. No Reddit, which doesn’t really support the notion of always wanting to drive traffic just to Reddit.

If I guess at the more specific query you might have done, maybe [overland mods for toyota tacoma], I get a YouTube video first, then Reddit, then Tacoma World at third — not near the bottom. So yes, Reddit is higher for that query — but it’s not first. It’s also not always first. And sometimes, it’s not even showing at all.”

hankschrader79 conceded that they were generalizing when they wrote that Google always prioritized Reddit. But they also insisted that that didn’t diminish what they said is a fact that Google’s “prioritization” forum content has benefitted Reddit more than actual forums.

Why Is The Reddit Post Ranked So High?

It’s possible that Google “tested” that Reddit post in position 8 within minutes and that user interaction signals indicated to Google’s algorithms that users prefer to see that Reddit post. If that’s the case then it’s not a matter of Google showing preference to Reddit post but rather it’s users that are showing the preference and the algorithm is responding to those preferences.

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Nevertheless, an argument can be made that user preferences for Reddit can be a manifestation of Familiarity Bias. Familiarity Bias is when people show a preference for things that are familiar to them. If a person is familiar with a brand because of all the advertising they were exposed to then they may show a bias for the brand products over unfamiliar brands.

Users who are familiar with Reddit may choose Reddit because they don’t know the other sites in the search results or because they have a bias that Google ranks spammy and optimized websites and feel safer reading Reddit.

Google may be picking up on those user interaction signals that indicate a preference and satisfaction with the Reddit results but those results may simply be biases and not an indication that Reddit is trustworthy and authoritative.

Is Reddit Benefiting From A Self-Reinforcing Feedback Loop?

It may very well be that Google’s decision to prioritize user generated content may have started a self-reinforcing pattern that draws users in to Reddit through the search results and because the answers seem plausible those users start to prefer Reddit results. When they’re exposed to more Reddit posts their familiarity bias kicks in and they start to show a preference for Reddit. So what could be happening is that the users and Google’s algorithm are creating a self-reinforcing feedback loop.

Is it possible that Google’s decision to show more user generated content has kicked off a cycle where more users are exposed to Reddit which then feeds back into Google’s algorithm which in turn increases Reddit visibility, regardless of lack of expertise and authoritativeness?

Featured Image by Shutterstock/Kues

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WordPress Releases A Performance Plugin For “Near-Instant Load Times”

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WordPress speculative loading plugin

WordPress released an official plugin that adds support for a cutting edge technology called speculative loading that can help boost site performance and improve the user experience for site visitors.

Speculative Loading

Rendering means constructing the entire webpage so that it instantly displays (rendering). When your browser downloads the HTML, images, and other resources and puts it together into a webpage, that’s rendering. Prerendering is putting that webpage together (rendering it) in the background.

What this plugin does is to enable the browser to prerender the entire webpage that a user might navigate to next. The plugin does that by anticipating which webpage the user might navigate to based on where they are hovering.

Chrome lists a preference for only prerendering when there is an at least 80% probability of a user navigating to another webpage. The official Chrome support page for prerendering explains:

“Pages should only be prerendered when there is a high probability the page will be loaded by the user. This is why the Chrome address bar prerendering options only happen when there is such a high probability (greater than 80% of the time).

There is also a caveat in that same developer page that prerendering may not happen based on user settings, memory usage and other scenarios (more details below about how analytics handles prerendering).

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The Speculative Loading API solves a problem that previous solutions could not because in the past they were simply prefetching resources like JavaScript and CSS but not actually prerendering the entire webpage.

The official WordPress announcement explains it like this:

Introducing the Speculation Rules API
The Speculation Rules API is a new web API that solves the above problems. It allows defining rules to dynamically prefetch and/or prerender URLs of certain structure based on user interaction, in JSON syntax—or in other words, speculatively preload those URLs before the navigation. This API can be used, for example, to prerender any links on a page whenever the user hovers over them.”

The official WordPress page about this new functionality describes it:

“The Speculation Rules API is a new web API… It allows defining rules to dynamically prefetch and/or prerender URLs of certain structure based on user interaction, in JSON syntax—or in other words, speculatively preload those URLs before the navigation.

This API can be used, for example, to prerender any links on a page whenever the user hovers over them. Also, with the Speculation Rules API, “prerender” actually means to prerender the entire page, including running JavaScript. This can lead to near-instant load times once the user clicks on the link as the page would have most likely already been loaded in its entirety. However that is only one of the possible configurations.”

The new WordPress plugin adds support for the Speculation Rules API. The Mozilla developer pages, a great resource for HTML technical understanding describes it like this:

“The Speculation Rules API is designed to improve performance for future navigations. It targets document URLs rather than specific resource files, and so makes sense for multi-page applications (MPAs) rather than single-page applications (SPAs).

The Speculation Rules API provides an alternative to the widely-available <link rel=”prefetch”> feature and is designed to supersede the Chrome-only deprecated <link rel=”prerender”> feature. It provides many improvements over these technologies, along with a more expressive, configurable syntax for specifying which documents should be prefetched or prerendered.”

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See also: Are Websites Getting Faster? New Data Reveals Mixed Results

Performance Lab Plugin

The new plugin was developed by the official WordPress performance team which occasionally rolls out new plugins for users to test ahead of possible inclusion into the actual WordPress core. So it’s a good opportunity to be first to try out new performance technologies.

The new WordPress plugin is by default set to prerender “WordPress frontend URLs” which are pages, posts, and archive pages. How it works can be fine-tuned under the settings:

Settings > Reading > Speculative Loading

Browser Compatibility

The Speculative API is supported by Chrome 108 however the specific rules used by the new plugin require Chrome 121 or higher. Chrome 121 was released in early 2024.

Browsers that do not support will simply ignore the plugin and will have no effect on the user experience.

Check out the new Speculative Loading WordPress plugin developed by the official core WordPress performance team.

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How Analytics Handles Prerendering

A WordPress developer commented with a question asking how Analytics would handle prerendering and someone else answered that it’s up to the Analytics provider to detect a prerender and not count it as a page load or site visit.

Fortunately both Google Analytics and Google Publisher Tags (GPT) both are able to handle prerenders. The Chrome developers support page has a note about how analytics handles prerendering:

“Google Analytics handles prerender by delaying until activation by default as of September 2023, and Google Publisher Tag (GPT) made a similar change to delay triggering advertisements until activation as of November 2023.”

Possible Conflict With Ad Blocker Extensions

There are a couple things to be aware of about this plugin, aside from the fact that it’s an experimental feature that requires Chrome 121 or higher.

A comment by a WordPress plugin developer that this feature may not work with browsers that are using the uBlock Origin ad blocking browser extension.

Download the plugin:
Speculative Loading Plugin by the WordPress Performance Team

Read the announcement at WordPress
Speculative Loading in WordPress

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See also: WordPress, Wix & Squarespace Show Best CWV Rate Of Improvement

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