SEO
The Complete List (44 Advanced Operators)
Google advanced search operators are special commands and characters that filter search results. They do this by making your searches more precise and focused.
For example, the site: operator restricts results to those from a particular site:
In this post, you’ll learn all of Google’s search operators and how to master them for SEO.
Below is a brief description of what every Google search operator does.
I’ve grouped them into three categories:
- Working – Works as intended.
- Unreliable – Not officially deprecated by Google, but results are hit-and-miss.
- Not working – Officially deprecated by Google.
Here’s the full list:
Working
Sidenote.
You can also use the _ operator, which acts as a wildcard in Google Autocomplete.
Unreliable
Not working (officially dropped by Google)
| Search operator | What it does | Example |
|---|---|---|
~ |
Include synonyms in the search. Dropped in 2013. | ~apple |
"+" |
Search for results mentioning an exact word or phrase. Dropped in 2011. | jobs +apple |
inpostauthor: |
Search for posts by a specific author in the discontinued Google Blog Search. | inpostauthor:”steve jobs” |
allinpostauthor: |
Same as inpostauthor:, but removes the need for quotes. |
allinpostauthor:steve jobs |
inposttitle: |
Search for posts with certain words in the title in Google’s discontinued Blog Search. | inposttitle:apple iphone |
link: |
Search for pages linking to a particular domain or URL. Dropped in 2017. | link:apple.com |
info: |
Search for information about a specific page or website. Dropped in 2017. | info:apple.com |
id: |
Same as info: |
id:apple.com |
phonebook: |
Search for someone’s phone number. Dropped in 2010. | phonebook:tim cook |
# |
Search for hashtags on Google+. Dropped in 2019 when Google+ shut down. | #apple |
Let’s tackle a few ways to put these operators into action.
My aim here is to show that you can achieve almost anything with Google advanced operators if you know how to use and combine them. So don’t be afraid to play around and deviate from the examples below. You may just discover something new.
Prefer video?
Check out nine actionable Google search operator tips in Sam Oh’s video.
1. Find possible indexing issues
Eyeballing the results of a site: search for your website can uncover potential indexing issues.
For example, if we combine it with the filetype: operator, we see that this 3D printing company has quite a few PDFs indexed:
This isn’t a bad thing if it’s intentional, but I have a feeling it isn’t for some of these.
For instance, its site has a lead-generation landing page for a white paper about the total cost of ownership for 3D printers:
But this PDF is indexed, so you can easily access it without filling in your details:
The site owners should probably add an x-robots noindex tag to solve this.
2. Find and analyze your competitors
Use the related: operator to find websites related to yours, which are often competitors.
You can then use other search operators to investigate these sites further.
For example, if we search for site:moz.com, we can quickly see that it has published a lot of content on its blog, help section, and “SEO Learning Center.”
If we adjust our site: operator to focus on its Learning Center, we can start to get a sense of the type of content published and what it’s about.
In this case, it looks like there are lots of definition-type posts.
In fact, if we add intitle:("what is"|"what are") to our search, we see 86 matching pages.
However, what Google can’t tell us is whether these pages get any organic traffic. To find that out, we’ll need to use a third-party tool.
If you’re an Ahrefs user:
- Go to Site Explorer
- Enter the competitor’s domain or subsection
- Check the Top pages report
If you’re not an Ahrefs user, you can use our free traffic checker to check pages one by one:
Both of these methods show that many of its definition-type posts are getting in excess of 20K estimated monthly organic visits. So this could be a good type of content to create if you wanted to attract search traffic in this niche.
In fact, that’s exactly what we did with our SEO glossary.
Here’s its organic traffic growth over the last few months:
3. Find guest post opportunities
Most people find guest posting opportunities by searching for “write for us” pages in their niche.
For example, if you have a website about coffee, you can search for something like coffee intitle:"write for us" inurl:write-for-us:
However, as lots of people are using this method, you’ll often end up pitching the same sites as everyone else. For that reason, a better method is to find a serial guest blogger in your niche and look for sites they’ve written for.
You can do this by searching for [topic] inurl:author/[firstname-lastname].
For example, this search finds websites Ryan Stewart has written for:
You can also do this in Ahrefs’ Content Explorer by searching for [topic] author:[firstname lastname"].
The benefit of using Content Explorer over Google is that you can filter the results to focus on high-quality websites. Plus, not every site will use the /author/firstname-lastname/ footprint.
For example, we can easily filter for posts from websites with a Domain Rating (DR) above 30 and an estimated website traffic of at least 5K per month.
Sidenote.
This can sometimes generate a few false positives, depending on how common the person’s name is.
You can even highlight results from domains that haven’t linked to you so you can prioritize getting backlinks from more websites.
4. Find resource page opportunities
Resource pages curate and link to the best resources on a topic. This makes them great link prospects if you have a fitting resource.
To find them in Google, search for: [topic] intitle:resources inurl:resources.
For example, if you want to build links to a coffee resource, you can search for this:
However, not all of these pages will be worth pitching. You’ll find that some just link to their own resources, so you’ll need to sift through them and pitch the relevant ones.
If you want an even easier way to find resource pages, try this:
- Go to Ahrefs’ Site Explorer
- Enter the domain of a big competitor
- Go to the Backlinks report
- Filter for backlinks with “resources” in the Ref. page URL
5. Find files you don’t want in Google’s index
You probably don’t want Google to index every file you upload to your website.
For example, if you have PDFs behind lead magnets or content upgrades, you probably want to protect those files to prevent people from finding them on Google.
Let’s use the filetype: operator to check for these on ahrefs.com.
It looks like there’s one PDF indexed, which is an old resource from 2017.
If we were bothered about people finding this (we’re not), we’d want to set this file to noindex with an x-robots header response.
6. Find the email address of the person you want to reach out to
People often share their email addresses on Twitter, so you can use search operators to find those tweets.
For example, if you wanted to find Tim Soulo’s email address, you could search for any of his tweets that mention the word “email” and “gmail.com” or “ahrefs.com” (as his email address is almost certainly at one of those domains).
If you do this, his email address pops up right away:
7. Find opportunities to add internal links
Internally linking to important content from other relevant pages on your website can send it more traffic and potentially help it to rank higher in organic search.
For example, let’s say we wanted to add some internal links to our list of SEO tips.
If we search in Google for site:ahrefs.com/blog "SEO tips", we’ll find blog posts mentioning the phrase “SEO tips” somewhere in their content.
In this case, we can ignore the first result, as this is the post we want to build internal links to. But there are 99 other results mentioning SEO tips, and many of them are perfect contextual internal link opportunities.
For instance, our guide to creating SEO content has an unlinked mention of “SEO tips,” so this is the perfect opportunity to add an internal link.
That said, the one downside of using search operators to find internal link opportunities is that they don’t distinguish between linked and unlinked mentions. In other words, they often find opportunities you’ve already taken advantage of.
For example, our search found a mention of “SEO tips” in our list of SEO techniques:
But if we find that mention on the page, we see that it’s already internally linked:
If this happens a lot and you find it frustrating, sign up for a free Ahrefs Webmaster Tools account and try this instead:
- Crawl your website with Site Audit
- Go to the Internal Link Opportunities tool in Site Audit
- Add your target page’s URL to the search field
- Select “Target page” from the dropdown next to the search field
- Hit the return key
You should see a list of opportunities like this:
It tells you:
- Where to link from (Source page).
- Where to add the link (Keyword context).
- Where to link to (Target page).
8. Find “best” listicles that don’t mention your brand
Let’s say you run an email marketing tool like ConvertKit.
If you search Google for “best email marketing tools,” you’ll find thousands of results listing top picks:
Given that you probably want to be featured on these lists, it’ll be helpful to see which ones do and don’t mention you already, right? That way, you can reach out to the authors of lists not mentioning your tool and see if you can get them to add you.
Luckily, you can do that by appending your search with -[your business name]:
Alternatively, if you want an even quicker method, you can use Ahrefs’ Content Explorer.
If you’re not familiar with Content Explorer, it’s a search engine for marketers with an index of over 11 billion pages. You can use this search to find listicles that don’t mention your brand: title:"best [whatever]" -[yourbrand].
For example, if we look for lists of the best email marketing tools that don’t mention ConvertKit, we get 3,182 results:
What makes Content Explorer more convenient than Google is that you can filter the results by things like DR, estimated website and page traffic, and more. Then you can export them in a few clicks.
For example, if we restrict the results to one page per domain and filter for websites with a DR of 30 or more, we narrow things down from 3,182 to 156 pages.
This is a much more manageable number of websites to review and potentially reach out to.
9. Find websites that have reviewed competitors
If a website posts a review of a competitor, chances are it may also be willing to review you.
Here’s how to find competitor reviews: allintitle:review ([competitor 1] OR [competitor 2]).
For example, if we wanted to find reviews of ConvertKit competitors, we could search for this:
If you like, you can add the after: operator into the mix to find recently published posts. This way, you can focus on pitching websites that you know are still active.
Sidenote.
You can use Ahrefs’ SEO Toolbar to download search results.
However, all of this is once again easier in Content Explorer because you can filter and export the results more easily.
Here’s how to run the same search there:
- Choose “In title” as the search mode
- Search for
review (mailchimp OR aweber) - Filter for one page per domain
This gives us 2,948 results, which is a lot. So let’s prioritize our list by filtering for pages published in the last 12 months on websites that get at least 1K monthly search visits:
Get alerts for new competitor reviews
Just set up a new “Mentions” alert in Ahrefs Alerts. You can use the same search from Content Explorer and filters for DR and domain traffic too.
10. Find relevant Quora questions to answer
Quora is a website where people ask questions, contributors post answers, and the best ones get upvoted to the top.
As my colleague, Si Quan Ong, has proven, it’s a great place to build brand awareness. He’s had over 2 million views on his answers and continues to get over 25K views every month despite his recent inactivity:
When it comes to finding questions to answer, Quora’s search function works well. The downside is that you can only search for one topic at once.
As Quora uses the question itself as the URL, you can overcome this problem with this search operator: site:quora.com inurl:([topic 1] | topic 2).
For example, if you have a health and fitness website, you can search for something like this:
If you’re an Ahrefs user, you can even combine this with the SEO Toolbar to overlay traffic estimates on the SERP. That way, you can focus on answering questions that already get organic traffic.
Or if you want an even faster method, try this:
- Go to Ahrefs’ Site Explorer
- Enter quora.com
- Go to the Top pages report
- Filter for results with URLs that contain particular words
This will give you a list of relevant Quora answers, sorted by their estimated monthly search traffic from high to low.
For example, one of the questions above asks whether it’s better to make a protein shake with milk or water and gets an estimated 792 monthly visits. If you can answer this question well and get upvoted, chances are hundreds of people will see your answer every month.
Even better, as you can include links in your answers, these answers can send some nice referral traffic your way.
11. Find how fast your competitors are publishing new content
Combine the site: operator with before: and/or after: operators to find out how much content any competitor has published in a given time period.
For example, here’s how many posts another SEO blog published in December 2022:
And here’s how many it published in the whole of 2022:
Just be aware that this operator isn’t always 100% accurate, as it includes updated pages.
For example, the search below returns a post with January 25, 2022, attached to it:
But if we plug that post’s URL into Ahrefs’ Site Explorer, we see that it’s been attracting organic traffic since 2019. So it must have existed long before 2022.
If you’re an Ahrefs user and want a more accurate way to see a competitor’s publishing frequency, run a site: search in Content Explorer and filter for “Pages published once.”
Final thoughts
Google advanced search operators are super powerful. You just have to know how to use them.
But I have to admit that some are more useful than others, especially when it comes to SEO. I find myself using site:, intitle:, and inurl: often. Yet I rarely use allintitle: and many of the other more obscure operators.
I’d also add that many operators are borderline useless unless paired with another operator, or two, or three.
So do play around with them and let me know what you come up with.
I’d be more than happy to add any useful combinations you discover to the post.
Got questions? Ping 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
— 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 OpenAI’s 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 AI’s new model, Mixtral-8x7B, represents a significant step forward from its previous model, Mistral-7B-v0.1.
It’s 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:
– hidden_dim / dim = 14336/4096 => 3.5X MLP expand
– n_heads / n_kv_heads = 32/8 => 4X multiquery
– “moe” => mixture of experts 8X top 2 👀Likely related code: https://t.co/yrqRtYhxKR
Oddly absent: an over-rehearsed… https://t.co/8PvqdHz1bR pic.twitter.com/xMDRj3WAVh
— 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 AI’s previous version, but the way it measures up to models like Llama2-70B and Qwen-72B.
It’s 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 it’s 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-8x7B’s 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 AI’s new model, Mixtral-8x7B, to see how it responds to queries and how it performs compared to other open-source models and OpenAI’s 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 AI’s Llama 2, Mistral-7b, and Perplexity’s 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.
Screenshot from Perplexity, December 2023While the answer looks correct, it begins to repeat itself.
Screenshot from Perplexity Labs, December 2023The model did provide an over 600-word answer to the question, “What is SEO?”
Again, additional instructions appear as “headers” to seemingly ensure a comprehensive answer.
Screenshot from Perplexity Labs, December 20232. Poe
Poe hosts bots for popular LLMs, including OpenAI’s GPT-4 and DALL·E 3, Meta AI’s Llama 2 and Code Llama, Google’s PaLM 2, Anthropic’s 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.
Screenshot from Poe, December 2023It’s worth noting that the Fireworks page specifies it is an “unofficial implementation” that was fine-tuned for chat.
When asked what the best backlinks for SEO are, it provided a valid answer.
Screenshot from Poe, December 2023Compare this to the response offered by Google Bard.
Screenshot from Google Bard, December 20233. Vercel
Vercel offers a demo of Mixtral-8x7B that allows users to compare responses from popular Anthropic, Cohere, Meta AI, and OpenAI models.
Screenshot from Vercel, December 2023It offers an interesting perspective on how each model interprets and responds to user questions.
Screenshot from Vercel, December 2023Like many LLMs, it does occasionally hallucinate.
Screenshot from Vercel, December 20234. Replicate
The mixtral-8x7b-32 demo on Replicate is based on this source code. It is also noted in the README that “Inference is quite inefficient.”
Screenshot from Replicate, December 2023In the example above, Mixtral-8x7B describes itself as a game.
Conclusion
Mistral AI’s 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 “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.
Screenshot from X, December 2023The 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.
Screenshot from OpenAI, December 2023The 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.
Screenshot from Google Reviews, December 2023A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.
Screenshot from Product Hunt, December 2023GPT-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:
Screenshot from Yelp, December 2023In 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.”
Screenshot from Google Reviews, December 2023The 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.
Screenshots from Glassdoor, December 2023This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.
Screenshot from Google, December 2023Google 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).
Screenshot from Google SGE, December 2023Conclusion
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.
Screenshot from ChatGPT, December 2023Unfortunately, they still aren’t accessible without a Plus subscription.
Screenshot from ChatGPT, December 2023You can sign up for the waitlist by clicking on the option to upgrade in the left sidebar of ChatGPT on a desktop browser.
Screenshot from ChatGPT, December 2023OpenAI also suggests ChatGPT Enterprise for those who need more capabilities, as outlined in the pricing plans below.
Screenshot from OpenAI, December 2023Why 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.
Screenshot from ChatGPT, November 2023Featured image: Robert Way/Shutterstock
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