SEO
14 Must-Know Tips For Crawling Millions Of Webpages

Crawling enterprise sites has all the complexities of any normal crawl plus several additional factors that need to be considered before beginning the crawl.
The following approaches show how to accomplish a large-scale crawl and achieve the given objectives, whether itβs part of an ongoing checkup or a site audit.
1. Make The Site Ready For Crawling
An important thing to consider before crawling is the website itself.
Itβs helpful to fix issues that may slow down a crawl before starting the crawl.
That may sound counterintuitive to fix something before fixing it but when it comes to really big sites, a small problem multiplied by five million becomes a significant problem.
Adam Humphreys, the founder of Making 8 Inc. digital marketing agency, shared a clever solution he uses for identifying what is causing a slow TTFB (time to first byte), a metric that measures how responsive a web server is.
A byte is a unit of data. So the TTFB is the measurement of how long it takes for a single byte of data to be delivered to the browser.
TTFB measures the amount of time between a server receiving a request for a file to the time that the first byte is delivered to the browser, thus providing a measurement of how fast the server is.
A way to measure TTFB is to enter a URL in Googleβs PageSpeed Insights tool, which is powered by Googleβs Lighthouse measurement technology.
Adam shared: βSo a lot of times, Core Web Vitals will flag a slow TTFB for pages that are being audited. To get a truly accurate TTFB reading one can compare the raw text file, just a simple text file with no html, loading up on the server to the actual website.
Throw some Lorem ipsum or something on a text file and upload it then measure the TTFB. The idea is to see server response times in TTFB and then isolate what resources on the site are causing the latency.
More often than not itβs excessive plugins that people love. I refresh both Lighthouse in incognito and web.dev/measure to average out measurements. When I see 30β50 plugins or tons of JavaScript in the source code, itβs almost an immediate problem before even starting any crawling.β
When Adam says heβs refreshing the Lighthouse scores, what he means is that heβs testing the URL multiple times because every test yields a slightly different score (which is due to the fact that the speed at which data is routed through the Internet is constantly changing, just like how the speed of traffic is constantly changing).
So what Adam does is collect multiple TTFB scores and average them to come up with a final score that then tells him how responsive a web server is.
If the server is not responsive, the PageSpeed Insights tool can provide an idea of why the server is not responsive and what needs to be fixed.
2. Ensure Full Access To Server: Whitelist Crawler IP
Firewalls and CDNs (Content Delivery Networks) can block or slow down an IP from crawling a website.
So itβs important to identify all security plugins, server-level intrusion prevention software, and CDNs that may impede a site crawl.
Typical WordPress plugins to add an IP to the whitelist are Sucuri Web Application Firewall (WAF) and Wordfence.
3. Crawl During Off-Peak Hours
Crawling a site should ideally be unintrusive.
Under the best-case scenario, a server should be able to handle being aggressively crawled while also serving web pages to actual site visitors.
But on the other hand, it could be useful to test how well the server responds under load.
This is where real-time analytics or server log access will be useful because you can immediately see how the server crawl may be affecting site visitors, although the pace of crawling and 503Β server responses are also a clue that the server is under strain.
If itβs indeed the case that the server is straining to keep up then make note of that response and crawl the site during off-peak hours.
A CDN should in any case mitigate the effects of an aggressive crawl.
4. Are There Server Errors?
The Google Search Console Crawl Stats report should be the first place to research if the server is having trouble serving pages to Googlebot.
Any issues in the Crawl Stats report should have the cause identified and fixed before crawling an enterprise-level website.
Server error logs are a gold mine of data that can reveal a wide range of errors that may affect how well a site is crawled. Of particular importance is being able to debug otherwise invisible PHP errors.
5. Server Memory
Perhaps something thatβs not routinely considered for SEO is the amount of RAM (random access memory) that a server has.
RAM is like short-term memory, a place where a server stores information that itβs using in order to serve web pages to site visitors.
A server with insufficient RAM will become slow.
So if a server becomes slow during a crawl or doesnβt seem to be able to cope with a crawling then this could be an SEO problem that affects how well Google is able to crawl and index web pages.
Take a look at how much RAM the server has.
A VPS (virtual private server) may need a minimum of 1GB of RAM.
However, 2GB to 4GB of RAM may be recommended if the website is an online store with high traffic.
More RAM is generally better.
If the server has a sufficient amount of RAM but the server slows down then the problem might be something else, like the software (or a plugin) thatβs inefficient and causing excessive memory requirements.
6. Periodically Verify The Crawl Data
Keep an eye out for crawl anomalies as the website is crawled.
Sometimes the crawler may report that the server was unable to respond to a request for a web page, generating something like a 503 Service Unavailable server response message.
So itβs useful to pause the crawl and check out whatβs going on that might need fixing in order to proceed with a crawl that provides more useful information.
Sometimes itβs not getting to the end of the crawl thatβs the goal.
The crawl itself is an important data point, so donβt feel frustrated that the crawl needs to be paused in order to fix something because the discovery is a good thing.
7. Configure Your Crawler For Scale
Out of the box, a crawler like Screaming Frog may be set up for speed which is probably great for the majority of users. But itβll need to be adjusted in order for it to crawl a large website with millions of pages.
Screaming Frog uses RAM for its crawl which is great for a normal site but becomes less great for an enterprise-sized website.
Overcoming this shortcoming is easy by adjusting the Storage Setting in Screaming Frog.
This is the menu path for adjusting the storage settings:
Configuration > System > Storage > Database Storage
If possible, itβs highly recommended (but not absolutely required) to use an internal SSD (solid-state drive) hard drive.
Most computers use a standard hard drive with moving parts inside.
An SSD is the most advanced form of hard drive that can transfer data at speeds from 10 to 100 times faster than a regular hard drive.
Using a computer with SSD results will help in achieving an amazingly fast crawl which will be necessary for efficiently downloading millions of web pages.
To ensure an optimal crawl itβs necessary to allocate 4 GB of RAM and no more than 4 GB for a crawl of up to 2 million URLs.
For crawls of up to 5 million URLs, it is recommended that 8 GB of RAM are allocated.
Adam Humphreys shared: βCrawling sites is incredibly resource intensive and requires a lot of memory. A dedicated desktop or renting a server is a much faster method than a laptop.
I once spent almost two weeks waiting for a crawl to complete. I learned from that and got partners to build remote software so I can perform audits anywhere at any time.β
8. Connect To A Fast Internet
If you are crawling from your office then itβs paramount to use the fastest Internet connection possible.
Using the fastest available Internet can mean the difference between a crawl that takes hours to complete to a crawl that takes days.
In general, the fastest available Internet is over an ethernet connection and not over a Wi-Fi connection.
If your Internet access is over Wi-Fi, itβs still possible to get an ethernet connection by moving a laptop or desktop closer to the Wi-Fi router, which contains ethernet connections in the rear.
This seems like one of those βit goes without sayingβ pieces of advice but itβs easy to overlook because most people use Wi-Fi by default, without really thinking about how much faster it would be to connect the computer straight to the router with an ethernet cord.
9. Cloud Crawling
Another option, particularly for extraordinarily large and complex site crawls of over 5 million web pages, crawling from a server can be the best option.
All normal constraints from a desktop crawl are off when using a cloud server.
Ash Nallawalla, an Enterprise SEO specialist and author, has over 20 years of experience working with some of the worldβs biggest enterprise technology firms.
So I asked him about crawling millions of pages.
He responded that he recommends crawling from the cloud for sites with over 5 million URLs.
Ash shared: βCrawling huge websites is best done in the cloud. I do up to 5 million URIs with Screaming Frog on my laptop in database storage mode, but our sites have far more pages, so we run virtual machines in the cloud to crawl them.
Our content is popular with scrapers for competitive data intelligence reasons, more so than copying the articles for their textual content.
We use firewall technology to stop anyone from collecting too many pages at high speed. It is good enough to detect scrapers acting in so-called βhuman emulation mode.β Therefore, we can only crawl from whitelisted IP addresses and a further layer of authentication.β
Adam Humphreys agreed with the advice to crawl from the cloud.
He said: βCrawling sites is incredibly resource intensive and requires a lot of memory. A dedicated desktop or renting a server is a much faster method than a laptop.Β I once spent almost two weeks waiting for a crawl to complete.
I learned from that and got partners to build remote software so I can perform audits anywhere at any time from the cloud.β
10. Partial Crawls
A technique for crawling large websites is to divide the site into parts and crawl each part according to sequence so that the result is a sectional view of the website.
Another way to do a partial crawl is to divide the site into parts and crawl on a continual basis so that the snapshot of each section is not only kept up to date but any changes made to the site can be instantly viewed.
So rather than doing a rolling update crawl of the entire site, do a partial crawl of the entire site based on time.
This is an approach that Ash strongly recommends.
Ash explained: βI have a crawl going on all the time. I am running one right now on one product brand. It is configured to stop crawling at the default limit of 5 million URLs.β
When I asked him the reason for a continual crawl he said it was because of issues beyond his control which can happen with businesses of this size where many stakeholders are involved.
Ash said: βFor my situation, I have an ongoing crawl to address known issues in a specific area.β
11. Overall Snapshot: Limited Crawls
A way to get a high-level view of what a website looks like is to limit the crawl to just a sample of the site.
This is also useful for competitive intelligence crawls.
For example, on a Your Money Or Your Life project I worked on I crawled about 50,000 pages from a competitorβs website to see what kinds of sites they were linking out to.
I used that data to convince the client that their outbound linking patterns were poor and showed them the high-quality sites their top-ranked competitors were linking to.
So sometimes, a limited crawl can yield enough of a certain kind of data to get an overall idea of the health of the overall site.
12. Crawl For Site Structure Overview
Sometimes one only needs to understand the site structure.
In order to do this faster one can set the crawler to not crawl external links and internal images.
There are other crawler settings that can be un-ticked in order to produce a faster crawl so that the only thing the crawler is focusing on is downloading the URL and the link structure.
13. How To Handle Duplicate Pages And Canonicals
Unless thereβs a reason for indexing duplicate pages, it can be useful to set the crawler to ignore URL parameters and other URLs that are duplicates of a canonical URL.
Itβs possible to set a crawler to only crawl canonical pages.Β But if someone set paginated pages to canonicalize to the first page in the sequence then youβll never discover this error.
For a similar reason, at least on the initial crawl, one might want to disobey noindex tags in order to identify instances of the noindex directive on pages that should be indexed.
14. See What Google Sees
As youβve no doubt noticed, there are many different ways to crawl a website consisting of millions of web pages.
A crawl budget is how much resources Google devotes to crawling a website for indexing.
The more webpages are successfully indexed the more pages have the opportunity to rank.
Small sites donβt really have to worry about Googleβs crawl budget.
But maximizing Googleβs crawl budget is a priority for enterprise websites.
In the previous scenario illustrated above, I advised against respecting noindex tags.
Well for this kind of crawl you will actually want to obey noindex directives because the goal for this kind of crawl is to get a snapshot of the website that tells you how Google sees the entire website itself.
Google Search Console provides lots of information but crawling a website yourself with a user agent disguised as Google may yield useful information that can help improve getting more of the right pages indexed while discovering which pages Google might be wasting the crawl budget on.
For that kind of crawl, itβs important to set the crawler user agent to Googlebot, set the crawler to obey robots.txt, and set the crawler to obey the noindex directive.
That way, if the site is set to not show certain page elements to Googlebot youβll be able to see a map of the site as Google sees it.
This is a great way to diagnose potential issues such as discovering pages that should be crawled but are getting missed.
For other sites, Google might be finding its way to pages that are useful to users but might be perceived as low quality by Google, like pages with sign-up forms.
Crawling with the Google user agent is useful to understand how Google sees the site and help to maximize the crawl budget.
Beating The Learning Curve
One can crawl enterprise websites and learn how to crawl them the hard way. These fourteen tips should hopefully shave some time off the learning curve and make you more prepared to take on those enterprise-level clients with gigantic websites.
Featured Image: SvetaZi/Shutterstock
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
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