SEO
How to limit your reliance on canonicals and boost crawl efficiency

30-second summary:
- Reducing reliance on canonical tags can improve product URL discovery on Shopify
- How you structure your products on Shopify can determine how well these pages perform
- Shifting reliance from canonical tags to rich internal anchor text helps build relevancy
Can anything stop the relentless rise of Shopify? Back in 2012, the landscape was dominated by WordPress, Magento, and Joomla. Fast-forward 10 years and many in the industry now see Shopify as the leading ecommerce platform, with the others going from leaders to laggards.
There are of course multiple reasons for Shopify’s rise to prominence, but arguably one of the biggest factors is that the platform is much more technically accessible than other ecommerce infrastructure providers. Getting your head around a fresh Magento install or working out how Joomla works (which is still a mystery to me till date!) often requires a certain level of technical know-how. And, if you don’t possess it, then you need to spend extra resources outsourcing that work to someone who does.
Shopify understood that baking simplicity and an “it just works” ethos into their platform would allow everyday entrepreneurs to get their sites up and running quickly, without needing a degree in computer science or a huge budget to maintain their online presence. However, as user-friendly, as it might be, there are still a few technical and SEO hurdles to overcome if you want your Shopify site to succeed on the SERPs.
In this article, I’ll take a closer look at a key “out of the box” SEO issue that often limits the relevance of product pages within Shopify and creates significant site bloat. More importantly, I’ll also share four potential solutions that can be used to fix the problem and maximize your product page potential. Let’s dive in.
The cost of inefficiency
Something that we often discuss with our clients is ensuring that Google can crawl their websites as efficiently as possible. We explain this by breaking down the cost to Google of crawling the web. Every time Google visits a webpage on the Internet there is a physical cost to Google: the price of electricity consumption, water consumption, hardware, software, and all the other assets needed to visit that page. While this cost might be a thousandth of a penny per URL, with the sheer amount of URLs crawled by Google each day, the total cost is likely staggering.
Therefore, if you are serving Google webpages that are duplicated or not relevant, you are wasting resources. Google has made a point of stating that in their article on managing crawl budget:
“Without guidance from you, Googlebot will try to crawl all or most of the URLs that it knows about on your site. If many of these URLs are duplicates, or you don’t want them crawled for some other reason (removed, unimportant, and so on), this wastes a lot of Google crawling time on your site. This is the factor that you can positively control the most.”
The key message here is that you can control how much of Google’s crawl time is wasted. By aiming to reduce this waste, you are ensuring that the time Google spends on your website is as productive as possible. This means Google will spend more time crawling URLs that have true value, picking up changes to existing URLs, and discovering new pages much faster.
Use canonicals as a temporary solution and not the final fix
A canonical tag is used when there are multiple duplicate pages, allowing you to define which of the duplicates should be deemed the correct page for Google to index.
While they are effective in the short term, the existence of a canonical tag highlights that there are structural issues within a website, and this can impact crawl efficiency. Even though the canonical tag will indicate to Google that you have selected a preferred URL to index, the search engine still needs to crawl all duplicates that contain the canonical tag to come to the consensus that you have set.
Rather than using a canonical tag as a permanent solution, it’s important to take steps to fix the underlying structural problem, therefore negating the use of a canonical tag. This in turn will have a positive impact on crawl efficiency.
What does this have to do with Shopify product pages?
Put simply, product URLs on Shopify rely on canonical tags to be discovered. Let’s look at the two main causes of this.
Products in multiple collections
The URL below is a product page from a Shopify website.
You will notice that the URL has the collection the product is in is seen in the URL as well. If this product is in multiple collections, Shopify creates multiple product URLs. As these are duplicates, Shopify handles this by using canonical tags. These canonical tags point to the preferred product URL, which does not contain a collection:
The product highlighted above is currently in four collections, meaning there are now five different product URLs for Google to crawl to find this one product that it needs to index. There is, however, another issue that further increases this number: product variants.
Product variants
A product variant is a product attribute that can implement within Shopify. This could be color, size, weight, or any other type of attribute that a product may have. Creating variants of a product within Shopify allows a user to select attributes on the product page. This can be seen below on our example product URL as “size”:
In this setup, Shopify adds a parameter to the product URL called ?variant. This contains an ID that references the selected variant. The URL below is our example product URL with the medium variant selected:
This is of course another duplicate, which is handled via a canonical tag. If we begin to calculate the total number of URLs this single product has that rely on canonical tags, you will notice how this can have a detrimental impact on crawl efficiency.
Based on this product being in four collections and having four variants, there are a total of 20 product URLs that rely on a canonical tag. This means Google needs to regularly crawl 21 product URLs to discover the single product URL that needs indexing.
10,000 URLs crawled to index 600
When you factor in the sheer number of products across an entire website, it’s easy to see how this figure can add up. If our example website has 600 products, and each product appears in four collections with four variants each, then Google will need to regularly crawl in excess of 10,000 product URLs to find the 600 that have been requested to be indexed.
How do you fix this on Shopify?
There are two distinct problems we need to fix here: the issue with products appearing in multiple collections, and the issue with product variants. There are solutions for both — however, implementing them will require compromise in certain areas.
Products in multiple collections: The fix
This fix works by removing links to product URLs with the collection name in the product URL. The main culprit here is the collection URL — specifically the theme file that powers collection URLs. On Shopify, this file is called product-grid-item.liquid.
You can navigate to this file via the following route within your Shopify admin.
Online Store > Themes > Customize > Theme Actions > Edit Code > Snippets
Within this file there are HTML hyperlinks that reference product URLs containing the collection name:
The “within: collection” element is what is responsible for pulling the collection name into the product URL. Removing this ensures that the collection name no longer appears in the product URL.
However, before you jump in, there are a few things you’ll need to bear in mind:
- It is recommended that you consult with your web development team before making this change.
- Apps that you use may need the “within: collection” functionality, so it is worth checking with app support on whether or not this can be changed.
- This change impacts the breadcrumb on product URLs. If this is problematic, then I’d suggest building breadcrumbs manually using META fields with a dedicated META fields app.
- You will also need to ensure that manual links that use this format are changed.
- There may be other template files that contain “within: collection” so it is worth liaising with your development team to identify these.
Product variants: The fix (or is it?)
Unfortunately, the solution to product variants is more complex and ultimately depends on how much SEO value you are getting from your existing product variants. The recommendation here is to first find out how viable product variant keywords are in terms of search volume and market opportunity.
For example, if our imaginary Shopify store sells Ralph Lauren polo shirts, then my variants are likely to be color and size. By running a quick search for the product type plus these variants, we can see that there is search volume and therefore it will be important that my variants are indexable and optimized.
Fix Option #1: Optimize ?variant URLs
This first option is viable if you believe that there is search volume opportunity across a wide range of your product variants. The premise of this fix is to build logic into your theme code, so that when a variant is selected, the variant name is appended into the page title tag and where possible, the product description.
This change will likely depend on your theme setup and, as with any change, it is recommended that you consult with your web development team. More details on how to do this can be found via the Shopify community thread below:
Another thing to bear in mind with this solution is that you will need to remove the canonical tag that is currently in place on ?variant URLs. The main drawback to this approach is that you may need to implement it sitewide across all product variants — but not all variants will necessarily have available search volume.
Fix Option #2: Optimize main product URL for variants
If you want more control over which product sets have optimized variants, then this option might be for you. By optimizing the main product URL for variants, by including variant keywords in the product description and META data, you will stand a chance of being visible for these product variant keywords.
The drawback here is that product URLs could become over-optimized and not as relevant as a dedicated, optimized product variant URL.
Fix Option #3: Disallow ?variant parameter
If it turns out that your product variants have minimal or no search value then disallowing the ?variant parameter in your robots.txt file might be the best option. This will stop Google crawling ?variant URLs, therefore making crawl activity more efficient.
Fix Option #4: Individual products per variant
If your product variants do have search viability, then creating individual products per variant might be an effective option. This is something we have seen retailers like Gym Shark do with color. The product below comes in a number of different colors, each of which has its own product URL and does not rely on variants, e.g.:
https://www.gymshark.com/products/gymshark-element-baselayer-t-shirt-black-aw21
With more control over both META data and optimized content, this approach means it is easier to build deeper relevance for product variants. The downside here is that there are simply more products to manage within the CMS.
Shopify & SEO issues: Final thoughts
As I mentioned earlier, one of the reasons for Shopify’s meteoric rise has been the “it just works” ethos that makes the platform such a cinch to use. But that’s not to say that the platform doesn’t suffer from a few SEO snags.
In addition to the canonical issue, Google’s Core Web Vitals can be another source of headaches for SEOs who work with the platform. But there are generally workarounds for those who are willing to take the time to implement them. You can learn more about how to navigate these in our ultimate guide to Shopify SEO (2022).
There are also hopeful signs that the Shopify team are increasingly receptive to the needs of the SEO community. The team have regularly taken on board feedback from SEOs to improve their product, from allowing users to edit the robots.txt file, to allowing for sub-folder international structures. So, we can hope that easy-to-implement solutions around the use of canonicals and other issues will be rolled out before too long.
Can anything stop the relentless rise of Shopify? Back in 2012, the landscape was dominated by WordPress, Magento and Joomla. Fast-forward 10 years, and many in the industry now see Shopify as the leading e-commerce platform, with the others going from leaders to laggards.
There are of course multiple reasons for Shopify’s rise to prominence, but arguably one of the biggest factors is that the platform is much more technically accessible than other ecommerce infrastructure providers. Getting your head around a fresh Magento install or working out how Joomla works (which is still a mystery to me to this day!) often requires a certain level of technical knowhow. And, if you don’t possess it, then you need to spend extra resources outsourcing that work to someone who does.
Shopify understood that baking in simplicity and an “it just works” ethos into their platform would allow everyday entrepreneurs to get their sites up and running quickly, without needing a degree in computer science or a huge budget to maintain their online presence. However, as user-friendly as it might be, there are still a few technical and SEO hurdles to overcome if you want your Shopify site to succeed on the SERPs.
In this article, I’ll take a closer look at a key “out of the box” SEO issue that often limits the relevance of product pages within Shopify and creates significant site bloat. More importantly, I’ll also share four potential solutions that can be used to fix the problem and maximize your product page potential. Let’s dive in.
The cost of inefficiency
Something that we often discuss with our clients is ensuring that Google can crawl their websites as efficiently as possible. We explain this by breaking down the cost to Google of crawling the web. Every time Google visits a webpage on the Internet there is a physical cost to Google: the price of electricity consumption, water consumption, hardware, software, and all the other assets needed to visit that page. While this cost might be a thousandth of a penny per URL, with the sheer amount of URLs crawled by Google each day, the total cost is likely staggering.
Therefore, if you are serving Google webpages that are duplicated or not relevant, you are wasting resources. Google have made a point of stating that in their article on managing crawl budget:
“Without guidance from you, Googlebot will try to crawl all or most of the URLs that it knows about on your site. If many of these URLs are duplicates, or you don’t want them crawled for some other reason (removed, unimportant, and so on), this wastes a lot of Google crawling time on your site. This is the factor that you can positively control the most.”
The key message here is that you can control how much of Google’s crawl time is wasted. By aiming to reduce this waste, you are ensuring that the time Google spends on your website is as productive as possible. This means Google will spend more time crawling URLs that have true value, picking up changes to existing URLs and discovering new pages much faster.
Using canonicals as a temporary solution and not the final fix
A canonical tag is used when there are multiple duplicate pages, allowing you to define which of the duplicates should be deemed the correct page for Google to index.
While they are effective in the short term, the existence of a canonical tag highlights that there are structural issues within a website, and this can impact crawl efficiency. Even though the canonical tag will indicate to Google that you have selected a preferred URL to index, the search engine still needs to crawl all duplicates that contain the canonical tag to come to the consensus that you have set.
So, rather than using a canonical tag as a permanent solution, it’s important to take steps to fix the underlying structural problem, and therefore negating the use of the canonical tag. This in turn will have a positive impact on crawl efficiency.
What does this have to do with Shopify product pages?
Put simply, product URLs on Shopify rely on canonical tags to be discovered. Let’s look at the two main causes of this.
Products in multiple collections
The URL below is a product page from a Shopify website.
You will notice that the URL has the collection the product is in within it. If this product is in multiple collections, Shopify creates multiple product URLs. As these are duplicates, Shopify handles this by using canonical tags. These canonical tags point to the preferred product URL, which does not contain a collection:
The product highlighted above is currently in four collections, meaning there are now five different product URLs for Google to crawl to find this one product that it needs to index. There is, however, another issue that further increases this number: product variants.
Product variants
A product variant is a product attribute that can implement within Shopify. This could be color, size, weight or any other type of attribute that a product may have. By creating variants of a product within Shopify, it allows a user to select attributes on the product page. This can be seen below on our example product URL as “size”:
In this setup, Shopify adds a parameter to the product URL called ?variant. This contains an ID that references the selected variant. The URL below is our example product URL with the medium variant selected:
This is of course another duplicate, which is handled via a canonical tag. If we begin to calculate the total number of URLs this single product has that rely on canonical tags, you will begin see how this can have a detrimental impact on crawl efficiency.
Based on this product being in four collections and having four variants, there are a total of 20 product URLs that rely on a canonical tag. This means Google needs to regularly crawl 21 product URLs to discover the single product URL that needs indexing.
10,000 URLs crawled to index 600
When you factor in the sheer number of products across an entire website, it’s easy to see how this figure can add up. If our example website has 600 products, and each product appears in four collections with four variants each, then Google will need to regularly crawl in excess of 10,000 product URLs to find the 600 that have been requested to be indexed.
How do you fix this on Shopify?
There are two distinct problems we need to fix here: the issue with products appearing in multiple collections, and the issue with product variants. There are solutions for both — however, implementing them will require compromise in certain areas.
Products in multiple collections: The fix
This fix works by removing links to product URLs with the collection name in the product URL. The main culprit here is the collection URL — specifically the theme file that powers collection URLs. On Shopify, this file is called product-grid-item.liquid.
You can navigate to this file via the following route within your Shopify admin.
Online Store > Themes > Customize > Theme Actions > Edit Code > Snippets
Within this file there are HTML hyperlinks that reference product URLs containing the collection name:
The “within: collection” element is what is responsible for pulling the collection name into the product URL. Removing this ensures that the collection name no longer appears in the product URL.
However, before you jump in, there are a few things you’ll need to bear in mind:
- It is recommended that you consult with your web development team before making this change.
- Apps that you use may need the “within: collection” functionality, so it is worth checking with app support on whether or not this can be changed.
- This change impacts the breadcrumb on product URLs. If this is problematic, then I’d suggest building breadcrumbs manually using META fields with a dedicated META fields app.
- You will also need to ensure that manual links that use this format are changed.
- There may be other template files that contain “within: collection” so it is worth liaising with your development team to identify these.
Product variants: The fix (or is it?)
Unfortunately, the solution to product variants is more complex and ultimately depends on how much SEO value you are getting from your existing product variants. The recommendation here is to first find out how viable product variant keywords are in terms of search volume and market opportunity.
For example, if our imaginary Shopify store sells Ralph Lauren polo shirts, then my variants are likely to be color and size. By running a quick search for the product type plus these variants, we can see that there is search volume and therefore it will be important that my variants are indexable and optimized.
Fix Option #1: Optimize ?variant URLs
This first option is viable if you believe that there is search volume opportunity across a wide range of your product variants. The premise of this fix is to build logic into your theme code, so that when a variant is selected, the variant name is appended into the page title tag and where possible, the product description.
This change will likely depend on your theme setup and, as with any change, it is recommended that you consult with your web development team. More details on how to do this can be found via the Shopify community thread below:
Another thing to bear in mind with this solution is that you will need to remove the canonical tag that is currently in place on ?variant URLs. The main drawback to this approach is that you may need to implement it sitewide across all product variants — but not all variants will necessarily have available search volume.
Fix Option #2: Optimize main product URL for variants
If you want more control over which product sets have optimized variants, then this option might be for you. By optimizing the main product URL for variants, by including variant keywords in the product description and META data, you will stand a chance of being visible for these product variant keywords.
The drawback here is that product URLs could become over-optimized and not as relevant as a dedicated, optimized product variant URL.
Fix Option #3: Disallow ?variant parameter
If it turns out that your product variants have minimal or no search value then disallowing the ?variant parameter in your robots.txt file might be the best option. This will stop Google crawling ?variant URLs, therefore making crawl activity more efficient.
Fix Option #4: Individual products per variant
If your product variants do have search viability, then creating individual products per variant might be an effective option. This is something we have seen retailers like Gym Shark do with color. The product below comes in a number of different colors, each of which has its own product URL and does not rely on variants, e.g.:
https://www.gymshark.com/products/gymshark-element-baselayer-t-shirt-black-aw21
With more control over both META data and optimized content, this approach means it is easier to build deeper relevance for product variants. The downside here is that there are simply more products to manage within the CMS.
Shopify & SEO issues: Final thoughts
As I mentioned earlier, one of the reasons for Shopify’s meteoric rise has been the “it just works” ethos that makes the platform such a cinch to use. But that’s not to say that the platform doesn’t suffer from a few SEO snags.
In addition to the canonical issue, Google’s Core Web Vitals can be another source of headaches for SEOs who work with the platform. But there are generally workarounds for those who are willing to take the time to implement them. You can learn more about how to navigate these in our ultimate guide to Shopify SEO (2022).
There are also hopeful signs that the Shopify team are increasingly receptive to the needs of the SEO community. The team have regularly taken on board feedback from SEOs to improve their product, from allowing users to edit the robots.txt file, to allowing for sub-folder international structures. So, we can hope that easy-to-implement solutions around the use of canonicals and other issues will be rolled out before too long.
Marc Swann is Director of Search at Glass Digital, a digital marketing agency offering SEO, affiliate marketing, and paid search services. Marc has been working in digital marketing for 12 years and specializes in technical SEO. At Glass Digital, his focus is on the organic search service, ensuring our teams are delivering maximum value for their clients.
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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 “lazy” 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 company’s 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 “clean industrial process” and that variations in training runs can lead to noticeable differences in the AI’s 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 “real” user experience.
OpenAI’s 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.
— 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
— Ethan Mollick (@emollick) November 28, 2023
Complaints also appeared in OpenAI’s 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 isn’t 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-4’s degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu
— 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 “Cutthroat environment. Not friendly. Toxic workers.”


The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the company’s 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 OpenAI’s technology on various fields.
The most positive review mentions about the company appear in Google SGE (Search Generative Experience).


Conclusion
OpenAI’s recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technology’s 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 public’s 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
– login to ChatGPT
– now if you click on upgrade
– Signup for waitlist(may not be necessary)
– now change the URL to https://t.co/4izOdNzarG
– Wallah you are in for payment #ChatGPT4 #hack #GPT4 #GPTPlus pic.twitter.com/J1GizlrOAx— Ashish Mohite is building Notionpack Capture (@_ashishmohite) December 8, 2023
RELATED: GPT Store Set To Launch In 2024 After ‘Unexpected’ 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 aren’t 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 OpenAI’s 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 🙁
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.
— Sam Altman (@sama) November 15, 2023
The decision to pause new ChatGPT signups follows a week where OpenAI services – including ChatGPT and the API – 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 🫡🇺🇸 https://t.co/VdN8tuexKM pic.twitter.com/W522NGHsRV
— surya (@sdand) November 15, 2023
When Will ChatGPT Plus Subscriptions Resume?
So far, we don’t 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 “unexpected delays.”
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 👀👇
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
— Aleyda Solis 🕊️ (@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 🙌🤩
PS: Love how GPT opens up to SO much opportunity 🤯 pic.twitter.com/yqKozcZTDc
— Aleyda Solis 🕊️ (@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
— 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.
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 – including the ones I tested for learning about ranking factors and gaining insights on E-E-A-T from Google’s Search Quality Rater Guidelines.


Featured image: Robert Way/Shutterstock
SEO
The Best Times To Post On Social Media In 2024

Marketers worldwide know the importance of having a solid social media marketing strategy – and a key part of this is finding the best times to post on social media.
The old adage ‘timing is everything’ holds especially true in the world of social media, where the difference between a post that fades into obscurity and one that goes viral can often be just a matter of when it was shared.
With an always-growing array of social platforms hosting billions of users worldwide, it has never been more challenging to stand above the noise and make your voice heard on social.
To determine the best times to post on social media in 2024, we reviewed original data from leading social media management tools.
It’s important to note that the data from these sources present a variety of findings and suggestions, which underscore the fact that social media is an ever-evolving landscape. The most crucial thing is understanding the behavior of your own target audience.
Let’s dive in.
The Best Times To Post On Social Media
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday and Wednesday | 9 a.m. – 2 p.m. Local |
Hootsuite | Monday | 12 p.m. EST |
CoSchedule | Friday, Wednesday, and Monday (in that order) | 7 p.m. Local |
- Best times to post on social media: 9 a.m. – 2 p.m.
- Best days to post on social media: Monday and Wednesday.
- Worst days to post on social media: Saturday and Sunday.
Determining an ideal time for posting on social media in general is complicated, as each platform is different, with unique users, features, and communities.
When deciding which social media platforms to focus on, you should think carefully about your brand’s target audience and overarching goals.
If you’re looking to reach a network of professionals, LinkedIn might be a good fit; if your brand is hoping to speak to Gen Z consumers, you might consider TikTok or Snapchat.
This explains why – when analyzing data from Sprout Social, Hootsuite, and CoSchedule on the best overall times to post on social media – we can draw some similarities but also see a variety of recommendations.
Weekdays emerge as a clear winner. CoSchedule and Sprout Social both highlight Wednesday as a good day, with Hootsuite and CoSchedule also highlighting Mondays as a strong day for engagement.
The most common time range among the sources is in the morning to mid-afternoon, with CoSchedule providing some very specific suggestions for post-timing.
Both CoSchedule and Sprout Social agree on avoiding Saturdays and Sundays.
The Best Times To Post On Facebook
Source | Day Of Week | Time To Post |
Sprout Social | Monday to Thursday | 8 a.m. – 1 p.m. Local |
Hootsuite | Monday and Tuesday | 1 p.m. EST |
CoSchedule | Friday, Wednesday, and Monday (in that order) | 9 a.m. Local |
- Best times to post on Facebook: 8 a.m. – 1 p.m.
- Best days to post on Facebook: Weekdays.
- Worst day to post on Facebook: Sunday.
Facebook remains the most used social media platform in the world, with the largest advertising market share (16%).
While it’s experienced a shift in user demographics over recent years – now catering to older users – its popularity continues to climb, and its potential as a brand marketing tool cannot be disputed.
Regarding the best times to post on Facebook, all of our sources agree that weekdays are best. Sprout Social, Hootsuite, and CoSchdule all name Monday as a great day to engage on Facebook, along with calling out various other days of the week.
There is a general consensus that Sundays should be avoided.
The sources vary in their suggestions for optimal time slots, but generally speaking, early to mid-morning seems to be the most popular selection.
The Best Times To Post On YouTube
Source | Day Of Week | Time To Post |
SocialPilot | Sunday | 2-4 p.m. EST |
HubSpot | Friday and Saturday | 6-9 p.m. Local |
- Best times to post on YouTube: 2-4 p.m. on weekdays and 9-11 a.m. on weekends.
- Best days to post on YouTube: Friday, Saturday, and Sunday.
- Worst day to post on YouTube: Tuesday.
As the second most visited site in the world and the second most used social platform globally, YouTube offers an unparalleled opportunity for brands and individuals to connect with audiences through video.
And with its continued expansion – by introducing features like YouTube Shorts, initiatives like expanding the ways creators can get paid on the platform, and its increasing popularity as a search engine – the platform shows no signs of slowing.
YouTube is no longer just a video-sharing site; it’s a robust marketing tool that empowers businesses to raise brand awareness and drive meaningful engagement.
Finding recent data on the best times to post on YouTube proved harder than for some other channels, so these recommendations should be taken with a grain of salt.
While HubSpot suggests Friday and Saturday are the strongest days to publish on YouTube, SocialPilot specifically calls out Sunday as the most engaging day – so it’s worth experimenting with all three.
SocialPilot doesn’t specifically name the worst day, but according to HubSpot, you’d be wise to steer clear of Tuesday.
Both sources suggest the afternoon as an effective time for posting during the week. SocialPilot specifies that publishing in the mornings on weekends (9-11 a.m.) is effective, so this is important to bear in mind.
The Best Times To Post On Instagram
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday and Wednesday | 9 a.m. – 1 p.m. Local |
Hootsuite | Wednesday | 2 p.m. EST |
HubSpot | Saturday | 6-9 p.m. Local |
CoSchedule | Wednesday, Friday, and Tuesday (in that order) |
9 a.m. Local |
Later | Monday | 4 a.m. Local |
- Best times to post on Instagram: 8 a.m. to 1 p.m.
- Best day to post on Instagram: Wednesday.
- Worst day to post on Instagram: Sunday.
From its origins as a photo-sharing platform, Instagram has evolved into one of the most popular social media networks in the world – and an indispensable marketing tool.
With billions of users – 90% of whom are following at least one business – Instagram has become a powerful engine for ecommerce, brand awareness, and community-building.
As a leader in the social media space, Instagram constantly provides new formats and features for users to try out – from Reels to Stories, user quizzes and polls, and more.
We consulted a handful of sources to determine the top posting times for Instagram and came away with a mixed bag of answers.
Wednesday appears to take the cake as the most consistently recommended day, with CoSchedule, Sprout Social, and Hootsuite all suggesting it.
Generally, our sources seem to lean towards weekdays as being strongest for Instagram engagement – with the exception of HubSpot, which recommends Saturday.
In terms of timing, the morning to midday hours seem to be your best bet, especially around 8 a.m. through 1 p.m. HubSpot and Later provide times that significantly differ from other sources, which suggests that effectiveness can vary based on audience and content type.
The Best Times To Post On TikTok
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday and Wednesday | 2-6 p.m. Local |
Hootsuite | Thursday | 10 p.m. EST |
SocialPilot | Tuesday and Thursday | 2 a.m. and 9 a.m. EST |
HubSpot | Friday | 6-9 p.m. Local |
- Best time to post on TikTok: Inconclusive.
- Best day to post on TikTok: Tuesday.
- Worst day to post on TikTok: Inconclusive.
While it’s a relative newcomer to the fold, TikTok has quickly become one of the most beloved social platforms worldwide – and is drawing brands in increasing numbers.
With the average user spending nearly 54 minutes on the app daily, it’s hard to beat the hold that TikTok has among audiences. By optimizing your presence there, you can stand to generate some impressive returns on your marketing efforts.
So, what’s the best time to post on TikTok? The jury is out on this one – and it may take extra experimentation on your part to find the sweet spot that engages your audience.
Tuesday seems to rise to the top among the sources we consulted, with Wednesdays and Thursdays also getting recommendations. Generally speaking, it looks like midweek is a good time to test out your TikTok content, but there are plenty of discrepancies in the data.
While HubSpot named Friday as the best day, it also highlighted that Saturdays and Thursdays are strong for B2B brands, and Saturdays and Sundays work well for B2C brands.
Sprout Social found Sunday to be the worst performing day, while Monday and Tuesday are the worst days, according to HubSpot.
We also find a mix of recommended time slots, from early morning to mid-afternoon and also evening being suggested.
The Best Times To Post On Snapchat
Snapchat, the pioneer of ephemeral social media content (and the inspiration behind Instagram Stories), provides unique opportunities to reach younger demographics.
It differs from other platforms in how it works and the type of content that engages there. Snapchat typically centers around showcasing real-time experiences and authentic behind-the-scenes content versus polished marketing content.
This makes Snapchat an advantageous yet often underutilized tool in digital marketing. But it should not be overlooked, especially given that the platform continues to innovate.
While we have seen 10 a.m. – 1 p.m. cited as the best times to post on Snapchat in various secondary sources around the internet, we have found no recent original data to either confirm or refute this.
Given this, we would recommend testing out different times and days based on the behaviors and lifestyles of your target audience and then iterating based on your results (which is what you should be doing across the board, regardless!)
The Best Times To Post On Pinterest
Source | Day Of Week | Time To Post |
Sprout Social | Wednesday to Friday | 1-3 p.m. Local |
HubSpot | Friday | 3-6 p.m. Local |
CoSchedule | Sunday, Monday, and Tuesday (in that order) |
8 p.m. Local |
- Best times to post on Pinterest: 3-6 p.m.
- Best day to post on Pinterest: Friday.
- Worst day to post on Pinterest: Sunday.
Pinterest, once thought of as a simple inspiration board-style site, has today become a crucial player in the world of ecommerce.
Businesses can leverage Pinterest to showcase their products and drive conversions, but also to grow and expand brand awareness and sentiment.
Success on Pinterest can be found through sharing brand-specific imagery, optimizing for mobile, and appealing to your audience’s sense of aspiration and inspiration.
Friday, alongside other weekdays, is consistently mentioned as a strong day among our sources. On the other end, Sunday is commonly named as the least effective day for posting on Pinterest.
When it comes to the most fruitful posting time on the platform, it appears that the late afternoon to early evening, specifically around 3-6 p.m., is optimal for best engagement.
The Best Times To Post On X (Twitter)
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday to Thursday | 9 a.m. – 2 p.m. Local |
Hootsuite | Monday and Wednesday | 10 a.m. – 1 p.m. EST |
CoSchedule | Wednesday, Tuesday, and Friday (in that order) | 9 a.m. Local |
HubSpot | Friday and Wednesday (in that order) | 9 a.m. to 12 p.m. Local |
- Best times to post on X (Twitter): 9 a.m. to 12 p.m.
- Best days to post on X (Twitter): Wednesday and Friday.
- Worst day to post on X (Twitter): Sunday.
X (formerly known as Twitter) has long been a place for marketers to connect and engage with their audience, join trending conversations, and build community.
The real-time nature of X (Twitter) differentiates it from other social platforms and allows for spur-of-the-moment and reactionary marketing moves. And with CEO Elon Musk’s big plans for the app, it’s undoubtedly a space to watch.
When looking for the top days to post among the sources we consulted, Wednesday and Friday are most often mentioned – with Sprout Social specifying Tuesday through Thursday.
Hootsuite nominates Monday and Wednesday as the top days, proving that weekdays reign supreme on X (Twitter).
Like many other platforms, Sunday seems to be the least effective day for post-engagement.
Looking for the best times to post on X (Twitter)?
Late morning, from around 9 a.m. to noon, seems to be the most recommended time – though, as always, this will differ based on your specific audience and the type of content you are sharing.
We always recommend testing and experimenting to see what works for you.
The Best Times To Post On LinkedIn
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday to Thursday | 10 a.m. – 12 p.m. Local |
Hootsuite | Monday | 4 p.m. EST |
CoSchedule | Thursday, Tuesday, and Wednesday (in that order) | 10 a.m. Local |
HubSpot | Monday, Wednesday, and Tuesday (in that order) | 9 a.m. – 12 p.m. Local |
- Best times to post on LinkedIn: 10 a.m. – 3 p.m.
- Best days to post on LinkedIn: Tuesday, Wednesday, and Thursday.
- Worst days to post on LinkedIn: Weekends.
Though first and foremost a platform for professionals, LinkedIn has picked up steam in recent years, becoming a hub of engagement and a frontrunner among social media networks.
It’s also an essential tool for businesses that want to reach business executives and decision-makers, as well as potential candidates.
Done right, LinkedIn content can go a long way in building a public perception of your brand and providing deep value to your target audience.
Digging into the data, we can see that weekdays provide the biggest opportunities for engagement on LinkedIn, which is hardly surprising. Tuesdays through Thursdays are often mentioned as the top days, with Mondays also highlighted by Hootsuite and HubSpot.
All of our sources agree that weekends are less effective for LinkedIn posts.
If you’re searching for the right time, you might try your hand at posting from late morning to mid-afternoon, based on what these sources discovered.
But (and not to sound like a broken record) your results may differ based on your brand, niche, target audience, and content.
What Is The Best Time For You To Post On Social Media?
Finding the best times to post on social media requires a delicate blend of testing, experimentation, and personal analytics.
And it never hurts to start your journey with industry insights like the ones we’ve covered in this article.
By aligning your content strategy with your target audience and trying out different posting strategies – taking into account these recommended time slots – you will be able to determine what works best for you and significantly enhance your social media presence and engagement.
Sources of data, November 2023.
All data above was taken from the sources below.
Each platform conducted its own extensive research, analyzing millions of posts across various social networks to find the times when users are most engaged.
Sources:
- Sprout Social analyzed nearly 2 billion engagements across 400,000 social profiles.
- Hootsuite analyzed thousands of social media posts using an audience of 8 million followers. For its Instagram updates, it analyzed over 30,000 posts.
- CoSchedule analyzed more than 35 million posts from more than 30,000 organizations.
- SocialPilot studied over 50,000 YouTube accounts and over 50,000 TikTok accounts to compile its data.
- Later analyzed over 11 million Instagram posts.
- HubSpot surveyed over 1,000 global marketers to discern the best times to post on social media. For its Instagram-specific data, it partnered with Mention to analyze over 37 million posts.
More resources:
Featured Image: Kaspars Grinvalds/Shutterstock
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