SEO
What It Is & How It Works
Canonicalization is the process that search engines use to determine the main version of a page. That is the page that will be indexed and shown to users. The chosen version is canonical, and ranking signals like links will consolidate to that page. This process is sometimes referred to as standardization or normalization.
According to Google Webmaster Trends Analyst Gary Illyes, ~60% of the internet is duplicate content.
Canonicalization is complex and often misunderstood. I donβt think most of the duplicates are nefarious. Itβs mostly going to be technical issues that cause them. Weβll look at this more in a bit. Iβm going to talk about how the canonicalization process works as wellΒ as:
A lot of different signals go into the canonicalization process. These include:
- Duplicates
- Canonical link elements
- Sitemap URLs
- Internal links
- Redirects
Google looks at all the different signals and weighs them to determine what the canonical version should be. Thatβs the version of the page they will index and what they usually show toΒ users.

A potential scenario when Google decides on the canonical based on internal links and the canonical URL.
Duplicates
With duplicate content, Google will pick a canonical version to index. All the eligible pages form a cluster of pages, and the signals that go to the pages in that cluster will consolidate at the chosen canonical. That canonical may even change overΒ time.


Some SEOs believe there is a duplicate content penalty, but thatβs not true. Generally, youβre going to have one version or another indexed. It may not be the version you want to be indexed, but it will be indexed and rank just as well as any other version of the sameΒ page.
Here are some examples of what can cause duplicate pages and sometimes canonicalization issues:
- HTTP and HTTPS variants (e.g., http://www.example.com and https://www.example.com)
- Non-www and www variants (e.g., http://example.com and http://www.example.com)
- URLs with and without trailing slashes (e.g., https://example.com/page/ and https://example.com/page)
- URLs with and without capital letters (e.g., https://example.com/page/ and https://example.com/Page/)
- Default versions of the page such as index pages (e.g., https://www.example.com/, https://www.example.com/index.htm, https://www.example.com/index.html, https://www.example.com/index.php, https://www.example.com/default.htm, etc.)
- Alternate versions of pages. This could include mobile versions (e.g., example.com and m.example.com), AMP versions (e.g., example.com/page and amp.example.com/page), print versions (e.g., example.com/page and example.com /page/print), alternate versions meant for other countries but containing the same content (e.g., example.com/en-us/, example.com/en-gb/, example.com/en-au/), or versions in a dev or staging site (e.g., dev.example.com).
- URL parameters (e.g., example.com?parameter=whatever). These may exist because of tracking codes, faceted navigation, sorting content, session IDs, etc. There are some instances where parameters may change the pageβs content so that itβs not a duplicate.
- Other pages showing the full content. Google may choose the wrong canonical when another page displays the content in full. This may include the main blog page, paginated pages, tag pages, category pages, or feedΒ pages.
- Scraped or syndicated content. Content syndication best practices generally recommend having a canonical tag back to the original content or at least a link to the original content. Thatβs because the canonical chosen can be a completely different domain. They try to select the original source as the canonical, but in some cases, they choose the wrongΒ page.
Most of these arenβt usually issues. As I mentioned, Google will usually choose one version or another as the canonical. There are a few exceptions toΒ this.
- Sometimes with content syndication, the original source isnβt chosen as the canonical. This is a real problem. How would you feel if someone else started ranking for an article youΒ wrote?
- Hreflang does not solve duplication on international sites. Google will generally try to swap to show the correct version, but itβs not guaranteed, and this setup often breaks. When this happens, users see pages from the wrong country. Itβs best to avoid having the same content on multiple pages for international websites.
- With some JavaScript sites (typically app shell models), the initial code for the pages can look like other pages or even the code from other websites. Sometimes these pages get canonicalized to other pages on the same or even different websites.
I believe part of the problem with both hreflang and the JavaScript content is that Google may be running the duplicate detection via crawl algorithms that detect duplication patterns, again after just seeing the code, and yet again after rendering theΒ pages.


Googleβs render path marked up where I believe duplicate detection systems areΒ run.
Googleβs render path marked up where I believe duplicate detection systems areΒ run.
With the pages using hreflang, if they decide that the pages are duplicates without crawling them, they may not be able to swap them properly.
Before a page is even rendered, it may βlookβ like another page based on the HTML content. Google may choose the canonical based on this initial version and may not prioritize it for rendering because itβs already deemed a duplicate page. This usually resolves itself after rendering, but it can take some time to clearΒ up.
Google has a couple of rules they generally follow when it comes to canonicalization of duplicates.
1. They prefer HTTPS pages over HTTPΒ pages
They will generally index the HTTPS version, but there are a few issues or conflicting signals that may cause them to choose the HTTP version instead, suchΒ as:
- Having an invalid security certificate
- HTTPS page links to HTTP resources on the page (excludes images)
- HTTPS redirecting toΒ HTTP
- HTTPS page having a rel=βcanonicalβ link element pointing to the HTTPΒ page
2. They prefer shorter URLs over longer URLs
This has been misconstrued over the years by SEOs to say that all your URLs should be shorter. But thatβs not what was meant by the original statement. What Google said was that if you had, for instance, a clean short version of a URL and a longer version with parameters attached, they would generally choose the shorter version of the URL without the parameter as the canonical version.
Canonical link element
This is also commonly referred to as a canonical tag. It looks likeΒ this:
<link rel=βcanonicalβ https://www.example.com />
The canonical tag is sometimes referred to as a hint because itβs just one canonicalization signal. Google ignores it if other signals are stronger.
If the canonical tag is respected, all signals like links will pass. However, if the canonical is ignored, no value is passed. The value isnβt lost; it stays with the original page or goes to whatever page Google chooses as the canonical.
A canonical link element can be implemented in two different ways. It can be in the <head> section or the HTTP header.
A fun anecdote. Googleβs SEO Starter Guide used to be a PDF. They didnβt have a canonical tag set in the HTTP header, and people used to βstealβ the listing with their own duplicate version.
Sometimes the <head> section of a page will end before it should. This is usually caused by a tag in the <head> not closed out properly. When that happens, a canonical tag may be put into the <body> section instead. If that happens, your canonical tag wonβt be respected.

Invalid canonical tag located in the <body> section
Sitemap URLs
The URLs you include in your sitemap are also a canonicalization signal. Most of the time, you only want to include URLs of pages that you want to be indexed.
There are some exceptions to this because sitemap URLs also help with crawling. After a website migration, you should create a sitemap that still lists the old pages, even though they arenβt canonical. This will help the redirects be processed faster. Youβll want to delete this sitemap after most of the redirects have been picked up and processed.
Internal links
It matters how you link to pages. Internal links are another canonicalization signal.
Generally, you should link to the version of a page you want to be canonical and update the links to any URLs that may have changed. However, there are exceptions to this, such as with faceted navigation. In some cases like this, what is best for users may trump what is best forΒ SEO.
Redirects
There are several different types of redirects, and theyβre all canonicalization signals. They pass PageRank and help determine which URL gets shown in Googleβs index.
301s and 308s send signals forward to the new URL. 302s and some 307s send signals backwards to the redirected URL. If a 302 is left in place long enough or the URL itβs redirected to already exists, it may be treated as a 301 and send signals forward instead. It requires enough signals to flip the scale we saw earlier for canonicalization signals. As links build up, internal links are changed, sitemap URLs are updated, etc., more signals point to the new URL than the old URL, and the flip occurs.


At some point the scale flips forΒ 302s
A 307 has two different cases. In cases where itβs a temporary redirect, it will be treated the same as a 302 and attempt to consolidate backward. When web servers require clients to only use HTTPS connections (HSTS policy), Google wonβt see the 307 because itβs cached in the browser. The initial hit (without cache) will have a server response code thatβs likely a 301 or a 302. But your browser will show you a 307 for subsequent requests.
There are also other types of redirects like those implemented with JavaScript. These are also canonicalization signals and pass the full value just like other redirects as long as they can be seen and processed by Google. Theyβre fine to use in mostΒ cases.
Your main source of truth for what Google chose as the canonical will be the URL Inspection tool in Google Search Console. Enter the URL, and it will show what the declared canonical is and what Google chose as the canonical.


If you donβt have access to Google Search Console, the recommended way to check the version of a page Google has indexed is to paste the URL into Google. The top result is usually the canonical.
Similarly, if you check the cached version of a page in Google and a different page is shown, Google has selected a different version of theΒ page.
Warning: Donβt use site: searches for checking canonicals. It shows what Google knows about, not necessarily whatβs indexed or the selected canonical.
Within Site Audit, we show many issues related to canonicalization. Keep in mind that weβre flagging best practices in most cases. Because the canonical is a hint, Google and other search engines will have to choose which version of a page toΒ index.


Even if your website has lots of issues related to canonicalization, search engines may be able to figure out what version should be indexed and where they should consolidate signals. It may not create any real problems forΒ them.
Fun fact. When running a Site Audit, we only count the canonical version of pages as crawl credits. Some other tools count every version of a page towards the credits. On many sites, this can eat multiple credits perΒ page!
Thereβs a lot that can go wrong with canonicalization. Letβs look at some common mistakes.
Mistake #1: Blocking the canonicalized URL via robots.txt
Blocking a URL in robots.txt prevents Google from crawling it, meaning that they cannot see any canonical tags on that page. That, in turn, prevents them from transferring any βlink equityβ from the non-canonical to the canonical.
Unless you have a crawl budget issue, itβs probably better to let all the signals consolidate. Even if youβre going to block or noindex some versions, you still may want to check for versions with links that you should canonicalize instead. However, as Google tends to crawl non-canonical pages less over time, you may just want toΒ wait.
Mistake #2: Setting the canonicalized URL to βnoindexβ
Never mix noindex and rel=canonical. Theyβre contradictory instructions.
As John Mueller states, Google will usually prioritize the canonical tag over the βnoindexβ tag.
Mistake #3: Setting a 4XX HTTP status code for the canonicalized URL
Setting a 4XX HTTP status code for a canonicalized URL has the same effect as using the βnoindexβ tag: Google will be unable to see the canonical tag and transfer βlink equityβ to the canonical version.
Mistake #4: Canonicalizing all paginated pages to the rootΒ page
Paginated pages should not be canonicalized to the first paginated page in the series. Instead, self-referencing canonicals should be used on all paginated pages.
Why? As Googleβs John Mueller stated on Reddit, this is improper use of the rel=canonical.
The main thing to avoid, since this post is about canonicalization, is to use the rel=canonical on page 2 pointing to page 1. Page 2 isnβt equivalent to page 1, so the rel=canonical like that would be incorrect.Β
We have a guide on pagination for SEO and best practices if youβre interested.
Mistake #5: Donβt use the URL removal tool in Google Search Console for canonicalization.
This can remove all versions of a URL, effectively deindexing your page from search.
Mistake #6: Not keeping canonicalization signals consistent.
As we talked about earlier, there are many different canonicalization signals.
Having different signals suggest different canonicals means that you will be relying on Google to select a canonical for you. The more consistent signals you show them with your preferred version, the more likely it is that version will be the chosen canonical.
Mistake #7: Not using canonical tags with hreflang
Hreflang tags specify the language and geographical targeting of a webpage.
Google states that when using hreflang, you should βspecify a canonical page in the same language, or the best possible substitute language if a canonical doesnβt exist for the same language.β
Mistake #8: Having multiple rel=canonical tags
Having multiple rel=canonical tags will usually cause Google to ignore them. In many cases, this happens because tags are inserted into a system at different points, such as by the CMS, the theme, and plugin(s). This is why many plugins have an overwrite option meant to ensure they are the only source for canonical tags.
Another area where this might be a problem is with canonicals added with JavaScript. If you have no canonical URL specified in the HTML response and then add a rel=canonical tag with JavaScript, it should be respected when Google renders the page. However, if you have a canonical specified in HTML and swap the preferred version with JavaScript, you send mixed signals to Google.
Mistake #9: Rel=canonical in the <body>
Rel=canonical should only appear in the <head> of a document. A canonical tag in the <body> section of a page will be ignored.
Where this can become a problem is with the parsing of a document. Even if the pageβs source code has the rel=canonical tag in the correct place, many different things such as unclosed tags, JavaScript injected, or <iframes> in the <head> section can cause the <head> to end prematurely while rendering. In these cases, a canonical tag may be accidentally thrown into the <body> of a rendered page where it will not be respected.
Final thoughts
Many of the tools SEOs had for handling canonicalization have been taken away, such as the URL Parameters Tool and Preferred Domain setting in Google Search Console. However, there are still plenty of other signals to help Google choose a canonical.
If you have questions, message me on Twitter.
SEO
4 Ways To Try The New Model From Mistral AI

In a significant leap in large language model (LLM) development, Mistral AI announced the release of its newest model, Mixtral-8x7B.
magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%https://t.co/uV4WVdtpwZ%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce
RELEASE a6bbd9affe0c2725c1b7410d66833e24
β Mistral AI (@MistralAI) December 8, 2023
What Is Mixtral-8x7B?
Mixtral-8x7B from Mistral AI is a Mixture of Experts (MoE) model designed to enhance how machines understand and generate text.
Imagine it as a team of specialized experts, each skilled in a different area, working together to handle various types of information and tasks.
A report published in June reportedly shed light on the intricacies of OpenAIβs GPT-4, highlighting that it employs a similar approach to MoE, utilizing 16 experts, each with around 111 billion parameters, and routes two experts per forward pass to optimize costs.
This approach allows the model to manage diverse and complex data efficiently, making it helpful in creating content, engaging in conversations, or translating languages.
Mixtral-8x7B Performance Metrics
Mistral AIβs new model, Mixtral-8x7B, represents a significant step forward from its previous model, Mistral-7B-v0.1.
Itβs designed to understand better and create text, a key feature for anyone looking to use AI for writing or communication tasks.
New open weights LLM from @MistralAI
params.json:
β hidden_dim / dim = 14336/4096 => 3.5X MLP expand
β n_heads / n_kv_heads = 32/8 => 4X multiquery
β “moe” => mixture of experts 8X top 2 πLikely related code: https://t.co/yrqRtYhxKR
Oddly absent: an over-rehearsed⦠https://t.co/8PvqdHz1bR pic.twitter.com/xMDRj3WAVh
β Andrej Karpathy (@karpathy) December 8, 2023
This latest addition to the Mistral family promises to revolutionize the AI landscape with its enhanced performance metrics, as shared by OpenCompass.
What makes Mixtral-8x7B stand out is not just its improvement over Mistral AIβs previous version, but the way it measures up to models like Llama2-70B and Qwen-72B.
Itβs like having an assistant who can understand complex ideas and express them clearly.
One of the key strengths of the Mixtral-8x7B is its ability to handle specialized tasks.
For example, it performed exceptionally well in specific tests designed to evaluate AI models, indicating that itβs good at general text understanding and generation and excels in more niche areas.
This makes it a valuable tool for marketing professionals and SEO experts who need AI that can adapt to different content and technical requirements.
The Mixtral-8x7Bβs ability to deal with complex math and coding problems also suggests it can be a helpful ally for those working in more technical aspects of SEO, where understanding and solving algorithmic challenges are crucial.
This new model could become a versatile and intelligent partner for a wide range of digital content and strategy needs.
How To Try Mixtral-8x7B: 4 Demos
You can experiment with Mistral AIβs new model, Mixtral-8x7B, to see how it responds to queries and how it performs compared to other open-source models and OpenAIβs GPT-4.
Please note that, like all generative AI content, platforms running this new model may produce inaccurate information or otherwise unintended results.
User feedback for new models like this one will help companies like Mistral AI improve future versions and models.
1. Perplexity Labs Playground
In Perplexity Labs, you can try Mixtral-8x7B along with Meta AIβs Llama 2, Mistral-7b, and Perplexityβs new online LLMs.
In this example, I ask about the model itself and notice that new instructions are added after the initial response to extend the generated content about my query.


While the answer looks correct, it begins to repeat itself.


The model did provide an over 600-word answer to the question, βWhat is SEO?β
Again, additional instructions appear as βheadersβ to seemingly ensure a comprehensive answer.


2. Poe
Poe hosts bots for popular LLMs, including OpenAIβs GPT-4 and DALLΒ·E 3, Meta AIβs Llama 2 and Code Llama, Googleβs PaLM 2, Anthropicβs Claude-instant and Claude 2, and StableDiffusionXL.
These bots cover a wide spectrum of capabilities, including text, image, and code generation.
The Mixtral-8x7B-Chat bot is operated by Fireworks AI.


Itβs worth noting that the Fireworks page specifies it is an βunofficial implementationβ that was fine-tuned for chat.
When asked what the best backlinks for SEO are, it provided a valid answer.


Compare this to the response offered by Google Bard.


3. Vercel
Vercel offers a demo of Mixtral-8x7B that allows users to compare responses from popular Anthropic, Cohere, Meta AI, and OpenAI models.


It offers an interesting perspective on how each model interprets and responds to user questions.


Like many LLMs, it does occasionally hallucinate.


4. Replicate
The mixtral-8x7b-32 demo on Replicate is based on this source code. It is also noted in the README that βInference is quite inefficient.β


In the example above, Mixtral-8x7B describes itself as a game.
Conclusion
Mistral AIβs latest release sets a new benchmark in the AI field, offering enhanced performance and versatility. But like many LLMs, it can provide inaccurate and unexpected answers.
As AI continues to evolve, models like the Mixtral-8x7B could become integral in shaping advanced AI tools for marketing and business.
Featured image: T. Schneider/Shutterstock
SEO
OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

OpenAI, the company that launched ChatGPT a little over a year ago, has recently taken to social media to address concerns regarding the βlazyβ performance of GPT-4 on social media and Google Reviews.

This move comes after growing user feedback online, which even includes a one-star review on the companyβs Google Reviews.
OpenAI Gives Insight Into Training Chat Models, Performance Evaluations, And A/B Testing
OpenAI, through its @ChatGPTapp Twitter account, detailed the complexities involved in training chat models.


The organization highlighted that the process is not a βclean industrial processβ and that variations in training runs can lead to noticeable differences in the AIβs personality, creative style, and political bias.
Thorough AI model testing includes offline evaluation metrics and online A/B tests. The final decision to release a new model is based on a data-driven approach to improve the βrealβ user experience.
OpenAIβs Google Review Score Affected By GPT-4 Performance, Billing Issues
This explanation comes after weeks of user feedback about GPT-4 becoming worse on social media networks like X.
Idk if anyone else has noticed this, but GPT-4 Turbo performance is significantly worse than GPT-4 standard.
I know it’s in preview right now but it’s significantly worse.
β Max Weinbach (@MaxWinebach) November 8, 2023
There has been discussion if GPT-4 has become “lazy” recently. My anecdotal testing suggests it may be true.
I repeated a sequence of old analyses I did with Code Interpreter. GPT-4 still knows what to do, but keeps telling me to do the work. One step is now many & some are odd. pic.twitter.com/OhGAMtd3Zq
β Ethan Mollick (@emollick) November 28, 2023
Complaints also appeared in OpenAIβs community forums.


The experience led one user to leave a one-star rating for OpenAI via Google Reviews. Other complaints regarded accounts, billing, and the artificial nature of AI.


A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.


GPT-4 isnβt the only issue that local reviewers complain about. On Yelp, OpenAI has a one-star rating for ChatGPT 3.5 performance.
OpenAI is now only 3.8 stars on Google Maps and a dismal 1 star on Yelp!
GPT-4βs degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu
β Nate Chan (@nathanwchan) December 9, 2023
The complaint:


In related OpenAI news, the review with the most likes aligns with recent rumors about a volatile workplace, alleging that OpenAI is a βCutthroat environment. Not friendly. Toxic workers.β


The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the companyβs shift in focus on profits.


This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.


Google SGE Highlights Positive Google Reviews
In addition to occasional complaints, Google reviewers acknowledged the revolutionary impact of OpenAIβs technology on various fields.
The most positive review mentions about the company appear in Google SGE (Search Generative Experience).


Conclusion
OpenAIβs recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technologyβs dynamic and evolving nature and its impact on those who depend on the AI platform.
Especially the people who just received an invitation to join ChatGPT Plus after being waitlisted while OpenAI paused new subscriptions and upgrades. Or those developing GPTs for the upcoming GPT Store launch.
As AI advances, professionals in these fields must remain agile, informed, and responsive to technological developments and the publicβs reception of these advancements.
Featured image: Tada Images/Shutterstock
SEO
ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

ChatGPT Plus subscriptions and upgrades remain paused after a surge in demand for new features created outages.
Some users who signed up for the waitlist have received invites to join ChatGPT Plus.

This has resulted in a few shares of the link that is accessible for everyone. For now.
Found a hack to skip chatGPT plus wait list.
Follow the steps
β login to ChatGPT
β now if you click on upgrade
β Signup for waitlist(may not be necessary)
β now change the URL to https://t.co/4izOdNzarG
β Wallah you are in for payment #ChatGPT4 #hack #GPT4 #GPTPlus pic.twitter.com/J1GizlrOAxβ Ashish Mohite is building Notionpack Capture (@_ashishmohite) December 8, 2023
RELATED: GPT Store Set To Launch In 2024 After βUnexpectedβ Delays
In addition to the invites, signs that more people are getting access to GPTs include an introductory screen popping up on free ChatGPT accounts.


Unfortunately, they still arenβt accessible without a Plus subscription.


You can sign up for the waitlist by clicking on the option to upgrade in the left sidebar of ChatGPT on a desktop browser.


OpenAI also suggests ChatGPT Enterprise for those who need more capabilities, as outlined in the pricing plans below.


Why Are ChatGPT Plus Subscriptions Paused?
According to a post on X by OpenAIβs CEO Sam Altman, the recent surge in usage following the DevDay developers conference has led to capacity challenges, resulting in the decision to pause ChatGPT Plus signups.
we are pausing new ChatGPT Plus sign-ups for a bit π
the surge in usage post devday has exceeded our capacity and we want to make sure everyone has a great experience.
you can still sign-up to be notified within the app when subs reopen.
β Sam Altman (@sama) November 15, 2023
The decision to pause new ChatGPT signups follows a week where OpenAI services β including ChatGPT and the API β experienced a series of outages related to high-demand and DDoS attacks.
Demand for ChatGPT Plus resulted in eBay listings supposedly offering one or more months of the premium subscription.
chatgpt plus accounts selling ebay for a premium π«‘πΊπΈ https://t.co/VdN8tuexKM pic.twitter.com/W522NGHsRV
β surya (@sdand) November 15, 2023
When Will ChatGPT Plus Subscriptions Resume?
So far, we donβt have any official word on when ChatGPT Plus subscriptions will resume. We know the GPT Store is set to open early next year after recent boardroom drama led to βunexpected delays.β
Therefore, we hope that OpenAI will onboard waitlisted users in time to try out all of the GPTs created by OpenAI and community builders.
What Are GPTs?
GPTs allow users to create one or more personalized ChatGPT experiences based on a specific set of instructions, knowledge files, and actions.
Search marketers with ChatGPT Plus can try GPTs for helpful content assessment and learning SEO.
Two SEO GPTs I’ve created for assessment + learning ππ
1. Content Helpfulness and Quality SEO Analyzer: Assess a page content helpfulness, relevance, and quality for your targeted query based on Google’s guidelines vs your competitors and get tips: https://t.co/LsoP2UhF4N pic.twitter.com/O77MHiqwOq
β Aleyda Solis ποΈ (@aleyda) November 12, 2023
2. The https://t.co/IFmKxxVDpW SEO Teacher: A friendly SEO expert teacher who will help you to learn SEO using reliable https://t.co/sCZ03C7fzq resources: https://t.co/UrMPUYwblH
I hope they’re helpful ππ€©
PS: Love how GPT opens up to SO much opportunity π€― pic.twitter.com/yqKozcZTDc
β Aleyda Solis ποΈ (@aleyda) November 12, 2023
There are also GPTs for analyzing Google Search Console data.
oh wow. I think this GPT works.
Export data from GSC comparing keyword rankings before and after an update and upload it to ChatGPT and it will spit out this scatter plot for you.
It’s an easy way to see if most of your keyword declined or improved.
This site was impacted by⦠pic.twitter.com/wFGSnonqoZ
β Marie Haynes (@Marie_Haynes) November 9, 2023
And GPTs that will let you chat with analytics data from 20 platforms, including Google Ads, GA4, and Facebook.
Google search has indexed hundreds of public GPTs. According to an alleged list of GPT statistics in a GitHub repository, DALL-E, the top GPT from OpenAI, has received 5,620,981 visits since its launch last month. Included in the top 20 GPTs is Canva, with 291,349 views.
Β
Weighing The Benefits Of The Pause
Ideally, this means that developers working on building GPTs and using the API should encounter fewer issues (like being unable to save GPT drafts).
But it could also mean a temporary decrease in new users of GPTs since they are only available to Plus subscribers β including the ones I tested for learning about ranking factors and gaining insights on E-E-A-T from Googleβs Search Quality Rater Guidelines.


Featured image: Robert Way/Shutterstock
-
WORDPRESS5 days ago
8 Best Zapier Alternatives to Automate Your Website
-
SOCIAL4 days ago
YouTube Highlights its Top Trends, Topics and Creators of 2023
-
MARKETING6 days ago
Mastering The Laws of Marketing in Madness
-
MARKETING6 days ago
Intro to Amazon Non-endemic Advertising: Benefits & Examples
-
PPC5 days ago
12 Holiday Emails for Customers (Templates & Examples!)
-
WORDPRESS5 days ago
Watch Live on December 11 β WordPress.com News
-
WORDPRESS4 days ago
How to Create a Wholesale Order Form in WordPress (3 Ways)
-
SOCIAL7 days ago
With the end of the Hollywood writers and actors strikes, the creator economy is the next frontier for organized labor
You must be logged in to post a comment Login