SEO
Is ChatGPT Use Of Web Content Fair?
Large Language Models (LLMs) like ChatGPT train using multiple sources of information, including web content. This data forms the basis of summaries of that content in the form of articles that are produced without attribution or benefit to those who published the original content used for training ChatGPT.
Search engines download website content (called crawling and indexing) to provide answers in the form of links to the websites.
Website publishers have the ability to opt-out of having their content crawled and indexed by search engines through the Robots Exclusion Protocol, commonly referred to as Robots.txt.
The Robots Exclusions Protocol is not an official Internet standard but it’s one that legitimate web crawlers obey.
Should web publishers be able to use the Robots.txt protocol to prevent large language models from using their website content?
Large Language Models Use Website Content Without Attribution
Some who are involved with search marketing are uncomfortable with how website data is used to train machines without giving anything back, like an acknowledgement or traffic.
Hans Petter Blindheim (LinkedIn profile), Senior Expert at Curamando shared his opinions with me.
Hans commented:
“When an author writes something after having learned something from an article on your site, they will more often than not link to your original work because it offers credibility and as a professional courtesy.
It’s called a citation.
But the scale at which ChatGPT assimilates content and does not grant anything back differentiates it from both Google and people.
A website is generally created with a business directive in mind.
Google helps people find the content, providing traffic, which has a mutual benefit to it.
But it’s not like large language models asked your permission to use your content, they just use it in a broader sense than what was expected when your content was published.
And if the AI language models do not offer value in return – why should publishers allow them to crawl and use the content?
Does their use of your content meet the standards of fair use?
When ChatGPT and Google’s own ML/AI models trains on your content without permission, spins what it learns there and uses that while keeping people away from your websites – shouldn’t the industry and also lawmakers try to take back control over the Internet by forcing them to transition to an “opt-in” model?”
The concerns that Hans expresses are reasonable.
In light of how fast technology is evolving, should laws concerning fair use be reconsidered and updated?
I asked John Rizvi, a Registered Patent Attorney (LinkedIn profile) who is board certified in Intellectual Property Law, if Internet copyright laws are outdated.
John answered:
“Yes, without a doubt.
One major bone of contention in cases like this is the fact that the law inevitably evolves far more slowly than technology does.
In the 1800s, this maybe didn’t matter so much because advances were relatively slow and so legal machinery was more or less tooled to match.
Today, however, runaway technological advances have far outstripped the ability of the law to keep up.
There are simply too many advances and too many moving parts for the law to keep up.
As it is currently constituted and administered, largely by people who are hardly experts in the areas of technology we’re discussing here, the law is poorly equipped or structured to keep pace with technology…and we must consider that this isn’t an entirely bad thing.
So, in one regard, yes, Intellectual Property law does need to evolve if it even purports, let alone hopes, to keep pace with technological advances.
The primary problem is striking a balance between keeping up with the ways various forms of tech can be used while holding back from blatant overreach or outright censorship for political gain cloaked in benevolent intentions.
The law also has to take care not to legislate against possible uses of tech so broadly as to strangle any potential benefit that may derive from them.
You could easily run afoul of the First Amendment and any number of settled cases that circumscribe how, why, and to what degree intellectual property can be used and by whom.
And attempting to envision every conceivable usage of technology years or decades before the framework exists to make it viable or even possible would be an exceedingly dangerous fool’s errand.
In situations like this, the law really cannot help but be reactive to how technology is used…not necessarily how it was intended.
That’s not likely to change anytime soon, unless we hit a massive and unanticipated tech plateau that allows the law time to catch up to current events.”
So it appears that the issue of copyright laws has many considerations to balance when it comes to how AI is trained, there is no simple answer.
OpenAI and Microsoft Sued
An interesting case that was recently filed is one in which OpenAI and Microsoft used open source code to create their CoPilot product.
The problem with using open source code is that the Creative Commons license requires attribution.
According to an article published in a scholarly journal:
“Plaintiffs allege that OpenAI and GitHub assembled and distributed a commercial product called Copilot to create generative code using publicly accessible code originally made available under various “open source”-style licenses, many of which include an attribution requirement.
As GitHub states, ‘…[t]rained on billions of lines of code, GitHub Copilot turns natural language prompts into coding suggestions across dozens of languages.’
The resulting product allegedly omitted any credit to the original creators.”
The author of that article, who is a legal expert on the subject of copyrights, wrote that many view open source Creative Commons licenses as a “free-for-all.”
Some may also consider the phrase free-for-all a fair description of the datasets comprised of Internet content are scraped and used to generate AI products like ChatGPT.
Background on LLMs and Datasets
Large language models train on multiple data sets of content. Datasets can consist of emails, books, government data, Wikipedia articles, and even datasets created of websites linked from posts on Reddit that have at least three upvotes.
Many of the datasets related to the content of the Internet have their origins in the crawl created by a non-profit organization called Common Crawl.
Their dataset, the Common Crawl dataset, is available free for download and use.
The Common Crawl dataset is the starting point for many other datasets that created from it.
For example, GPT-3 used a filtered version of Common Crawl (Language Models are Few-Shot Learners PDF).
This is how GPT-3 researchers used the website data contained within the Common Crawl dataset:
“Datasets for language models have rapidly expanded, culminating in the Common Crawl dataset… constituting nearly a trillion words.
This size of dataset is sufficient to train our largest models without ever updating on the same sequence twice.
However, we have found that unfiltered or lightly filtered versions of Common Crawl tend to have lower quality than more curated datasets.
Therefore, we took 3 steps to improve the average quality of our datasets:
(1) we downloaded and filtered a version of CommonCrawl based on similarity to a range of high-quality reference corpora,
(2) we performed fuzzy deduplication at the document level, within and across datasets, to prevent redundancy and preserve the integrity of our held-out validation set as an accurate measure of overfitting, and
(3) we also added known high-quality reference corpora to the training mix to augment CommonCrawl and increase its diversity.”
Google’s C4 dataset (Colossal, Cleaned Crawl Corpus), which was used to create the Text-to-Text Transfer Transformer (T5), has its roots in the Common Crawl dataset, too.
Their research paper (Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer PDF) explains:
“Before presenting the results from our large-scale empirical study, we review the necessary background topics required to understand our results, including the Transformer model architecture and the downstream tasks we evaluate on.
We also introduce our approach for treating every problem as a text-to-text task and describe our “Colossal Clean Crawled Corpus” (C4), the Common Crawl-based data set we created as a source of unlabeled text data.
We refer to our model and framework as the ‘Text-to-Text Transfer Transformer’ (T5).”
Google published an article on their AI blog that further explains how Common Crawl data (which contains content scraped from the Internet) was used to create C4.
They wrote:
“An important ingredient for transfer learning is the unlabeled dataset used for pre-training.
To accurately measure the effect of scaling up the amount of pre-training, one needs a dataset that is not only high quality and diverse, but also massive.
Existing pre-training datasets don’t meet all three of these criteria — for example, text from Wikipedia is high quality, but uniform in style and relatively small for our purposes, while the Common Crawl web scrapes are enormous and highly diverse, but fairly low quality.
To satisfy these requirements, we developed the Colossal Clean Crawled Corpus (C4), a cleaned version of Common Crawl that is two orders of magnitude larger than Wikipedia.
Our cleaning process involved deduplication, discarding incomplete sentences, and removing offensive or noisy content.
This filtering led to better results on downstream tasks, while the additional size allowed the model size to increase without overfitting during pre-training.”
Google, OpenAI, even Oracle’s Open Data are using Internet content, your content, to create datasets that are then used to create AI applications like ChatGPT.
Common Crawl Can Be Blocked
It is possible to block Common Crawl and subsequently opt-out of all the datasets that are based on Common Crawl.
But if the site has already been crawled then the website data is already in datasets. There is no way to remove your content from the Common Crawl dataset and any of the other derivative datasets like C4 and .
Using the Robots.txt protocol will only block future crawls by Common Crawl, it won’t stop researchers from using content already in the dataset.
How to Block Common Crawl From Your Data
Blocking Common Crawl is possible through the use of the Robots.txt protocol, within the above discussed limitations.
The Common Crawl bot is called, CCBot.
It is identified using the most up to date CCBot User-Agent string: CCBot/2.0
Blocking CCBot with Robots.txt is accomplished the same as with any other bot.
Here is the code for blocking CCBot with Robots.txt.
User-agent: CCBot Disallow: /
CCBot crawls from Amazon AWS IP addresses.
CCBot also follows the nofollow Robots meta tag:
<meta name="robots" content="nofollow">
What If You’re Not Blocking Common Crawl?
Web content can be downloaded without permission, which is how browsers work, they download content.
Google or anybody else does not need permission to download and use content that is published publicly.
Website Publishers Have Limited Options
The consideration of whether it is ethical to train AI on web content doesn’t seem to be a part of any conversation about the ethics of how AI technology is developed.
It seems to be taken for granted that Internet content can be downloaded, summarized and transformed into a product called ChatGPT.
Does that seem fair? The answer is complicated.
Featured image by Shutterstock/Krakenimages.com
SEO
Snapchat Is Testing 2 New Advertising Placements
The Snapchat ad ecosystem just expanded with two new placement options.
On Tuesday, Snap announced they started testing on two new placements:
- Sponsored Snaps
- Promoted Places
While not available to the general public yet, Snap provided information on the test, including their launch partners and more about the ad placements.
The goal of these placements are for brands to expand their reach across some of the most widely adopted parts of the platform.
Sponsored Snaps Ad Placement
Snapchat is testing a new Sponsored Snaps placement with Disney, in the announcement from October 8th.
The Sponsored Snaps placement shows a full-screen vertical video to users on Snapchat.
Users can then opt-in to opening the Snap, with options to engage with the advertiser in one of two ways:
- Sending a direct message to the advertiser by replying
- Use the call-to-action to open the link chosen by the advertiser.
Sponsored Snaps aren’t delivered via a push notification and will appear differently than other Snaps in a user’s inbox.
After a certain amount of time, any unopened Sponsored Snaps disappear from a user’s inbox.
Promoted Places Ad Placement
Snap partnered with two other brands for their Promoted Places ad placement test: McDonalds and Taco Bell.
This new ad placement shows on the Snap Map, which is meant to help users discover new places they may want to visit.
Promoted Places will highlight sponsored placements of interest within the Snap Map.
In early testing, Snap said they’ve found adding places as “Top Picks” drives a typical visitation lift of 17.6% for frequent Snapchat users.
They also mentioned the possibility of exploring ideas around customer loyalty on the Snap Map in future phases.
Summary
Snap hasn’t yet announced how long these ad placement tests will run, or when they’ll be available for broader advertisers.
Snap said the Sponsored Snaps and Promoted Places placements will evolve from feedback within the Snapchat community and the brands partnered with them at launch.
In the future, there’s possibility of integrating features like CRM systems and AI chatbot support to make communication more streamlined between brands and Snapchat users.
SEO
The 11 Best SEO Books You Must Read Today
SEO is a rapidly evolving field, making it important for professionals to continuously expand their knowledge and skills.
We’ve put together a list of essential SEO books suitable for readers at various levels.
Some books on this list provide a foundation in core concepts, while more advanced practitioners can explore topics such as entity optimization.
The list includes specialized resources tailored to specific areas of SEO. For example, some books offer strategies for businesses targeting local audiences, while others serve as comprehensive guides to link building tactics.
For those interested in Google’s perspective, another book provides insights into the company’s philosophies and principles.
Whether you’re a beginner or an experienced professional, this list caters to diverse interests and skill levels, ensuring there’s something for everyone.
Books On Search Engine Optimization
1. SEO For Beginners: An Introduction To SEO Basics
Published by Search Engine Journal, this is a comprehensive guide to SEO. It covers everything from link building and SEO history to busting common myths and offering expert tips.
While it’s for beginners, veterans can also gain new insights. The book breaks down complex ideas into bite-sized pieces, making it a great starting point.
It’s well-structured, with each chapter tackling a different SEO aspect – from search engine mechanics to the latest algorithm updates.
The authors don’t just stick to theory. They provide real-world examples and case studies to show how these concepts work in practice. This mix of theory and application makes the book a valuable resource for anyone looking to improve their SEO.
Key reasons to give it a read:
- Get a solid grasp of SEO basics from industry pros.
- Easy-to-follow explanations of tricky concepts.
- Practical advice you can apply to your SEO strategies.
- Stay in the loop with current SEO trends and Google updates.
- Benefit from the collective wisdom of top SEO experts.
2. Entity SEO: Moving From Strings To Things
By Dixon Jones, CEO of InLinks
Dixon Jones’ book “Entity SEO: Moving from Strings to Things” explains the shift from old-school keyword SEO to modern entity-based optimization.
It explains how search engines now use the Knowledge Graph to understand relationships between concepts and offers practical advice on adapting your SEO strategy.
Key points:
- Making your brand an “entity” in your niche.
- Using structured data effectively.
- Getting quality links and mentions.
- Creating content rich in entity information.
The book uses real examples to show how these concepts work in practice. It’s meant to help SEO professionals at all levels understand and prepare for where search is heading.
Worth reading if you want to:
- Get a solid grip on entity SEO.
- Learn actionable entity optimization tactics.
- Establish your brand as a recognized entity.
- Master the use of structured data for SEO.
- Future-proof your SEO strategy.
3. The Art Of SEO: Mastering Search Engine Optimization
by Eric Enge of Stone Temple Consulting, Stephan Spencer, and Jessie C. Stricchiola
Covering everything from SEO 101 to advanced tactics, this book starts with the basics of how search engines work and then dives into the meat of SEO: keyword research, on-page optimization, technical SEO, and link building.
The authors break down complex strategies into actionable steps, making implementation a breeze.
What sets this book apart is its holistic approach. It’s not just about ranking; it’s about aligning SEO with your business goals and integrating it into your digital strategy. The book also discusses the role of content marketing and social media in boosting SEO performance.
Reasons to read this book:
- Get a complete SEO education, from basics to advanced strategies.
- Learn to align SEO with your business objectives.
- Access practical, step-by-step guides for implementing SEO tactics.
- Understand how to integrate SEO with content marketing and social media.
- Benefit from the collective wisdom of three renowned SEO experts.
4. The Psychology Of A Website: Mastering Cognitive Biases, Conversion Triggers And Modern SEO To Achieve Massive Results
Matthew Capala’s “The Psychology of a Website” offers a fresh take on website optimization. Instead of focusing on technical aspects, it dives into the psychology behind user behavior and conversions.
Capala, a seasoned digital marketer, shares actionable tips for creating websites that perform well in search results and keep visitors engaged and more likely to convert.
The book kicks off by exploring how our brains work when we browse websites. Capala then gets into the nitty-gritty of optimizing different website elements, from how they look to what they say.
A big focus throughout is user experience (UX). Capala stresses that a great website isn’t just about ranking high on Google – it needs to be easy and enjoyable for people to use.
While UX is key, Capala doesn’t ignore SEO. He offers practical advice on keyword research, on-page optimization, and building links while keeping the focus on creating content that actually connects with users.
By blending psychological insights with practical digital marketing strategies, Capala offers a well-rounded approach to website optimization that can lead to significant improvements.
Reasons to read this book:
- Gain insights into the psychology driving user behavior and conversions.
- Learn to create websites that not only rank well but also engage visitors.
- Get practical strategies for optimizing design, content, and calls-to-action.
- Discover how to enhance user experience and mobile performance.
- Learn to integrate SEO best practices with a focus on user engagement.
- Benefit from real-world examples and expert insights from a seasoned digital marketer.
5. The Best Damn Website & Ecommerce Marketing And Optimization Guide, Period
SEO veteran Stoney DeGeyter’s book “The Best Damn Website & Ecommerce Marketing And Optimization Guide, Period” covers SEO basics to advanced tactics for websites and online stores.
It starts with SEO essentials and then dives into advanced topics. The book’s standout feature is its focus on ecommerce, addressing product pages, category optimization, and effective product descriptions.
DeGeyter emphasizes a holistic SEO approach that aligns with business goals and user experience. He also covers analytics for strategy refinement.
This guide suits both small business owners and ecommerce marketers.
Reasons to read:
- Master SEO fundamentals and advanced strategies.
- Learn ecommerce-specific optimization tactics.
- Discover product page and description best practices.
- Understand user-generated content’s SEO impact.
- Align SEO efforts with business objectives.
- Benefit from decades of industry expertise.
6. Ecommerce SEO Mastery: 10 Huge SEO Wins For Any Online Store
Kristina Azarenko’s “Ecommerce SEO Mastery” offers 10 key strategies for online stores. The book tackles common ecommerce SEO challenges like thin content and complex site structures.
Azarenko breaks down each “SEO win” with practical advice on implementation.
Topics include:
- Ecommerce keyword research.
- Product & category page optimization.
- Leveraging user-generated content.
- Building quality backlinks.
- Site speed and mobile optimization.
- Structured data.
The book provides real-world examples and emphasizes data-driven SEO. It guides readers through using tools like Google Analytics and Search Console to track progress.
Reasons to read:
- Learn 10 powerful ecommerce-specific SEO strategies.
- Gain insights from a renowned SEO expert.
- Discover how to optimize product and category pages.
- Leverage user-generated content for SEO benefits.
- Learn to build high-quality backlinks.
- Apply real-world examples and case studies.
- Adopt a data-driven approach to ecommerce SEO.
7. Product-Led SEO: The Why Behind Building Your Organic Growth Strategy
by Eli Schwartz
Eli Schwartz’s “Product-Led SEO” offers a fresh take on SEO strategy, emphasizing business goals and sustainable organic growth.
Drawing from his work with major brands, Schwartz presents a framework that integrates SEO with overall company strategy.
The book challenges traditional SEO tactics, advocating for a holistic approach that prioritizes user value.
Key topics include:
- User intent optimization.
- Content strategy for the full customer journey.
- Measuring SEO’s business impact.
Schwartz focuses on the strategic “why” behind SEO tactics, encouraging critical thinking and adaptable strategies for long-term success.
Reasons to read this book:
- Gain a strategic perspective on SEO that aligns with business objectives.
- Learn to create sustainable organic growth through user-centric approaches.
- Discover how to optimize for the entire customer journey.
- Understand methods for measuring and communicating SEO’s business impact.
- Access real-world case studies and examples from major brands.
- Benefit from the author’s extensive experience in driving impactful SEO results.
Books On Link Building
8. The Link Building Book
by Paddy Moogan
Paddy Moogan’s “The Link Building Book” is a comprehensive, free online guide.
It covers link building basics, tactics for acquiring high-authority backlinks, content creation, and practical steps for planning and executing campaigns.
The book emphasizes white-hat techniques and quality over quantity, making it valuable for both SEO novices and pros.
Reasons to read:
- Master link building fundamentals and best practices.
- Learn diverse tactics for acquiring high-quality, relevant links.
- Understand how to assess potential linking websites.
- Discover content strategies that naturally attract links.
- Learn to plan and execute effective link building campaigns.
- Benefit from practical advice and real-world examples.
- Access updated, valuable insights at no cost.
Books On Local SEO
9. Local SEO Secrets: 20 Local SEO Strategies You Should Be Using NOW
by Roger Bryan
“Local SEO Secrets” by Roger Bryan is a must-read for businesses targeting local customers. It offers 20 proven strategies to boost local search visibility and drive growth.
Key topics include:
- Local SEO fundamentals and how it differs from traditional SEO.
- Optimizing Google Business Profile listings.
- Building local citations and leveraging structured data.
- Creating local content and managing online reputation.
- Implementing and tracking local SEO strategies.
The book provides actionable advice, real-world examples, and step-by-step instructions. It’s valuable for small business owners, marketers, and SEO consultants working with local clients.
Reasons to read:
- Learn 20 proven strategies for improving local search visibility.
- Understand key local ranking factors like Google Business Profile, reviews, and citations.
- Master GBP optimization for local SEO success.
- Discover how to use structured data and local content effectively.
- Learn reputation management best practices.
- Get practical, easy-to-implement instructions and examples.
- Learn to measure local SEO performance with analytics tools.
Books On Search Engines
10. How Google Works
by Eric Schmidt and Jonathan Rosenberg
“How Google Works” by ex-Google execs Schmidt and Rosenberg offers an insider’s view of the search giant. While not focused on SEO, it provides valuable insights for digital marketers and business leaders.
The book offers practical advice and real-world examples applicable to businesses of all sizes.
Understanding Google’s philosophy can inform more effective, customer-focused digital marketing strategies.
Reasons to read:
- Get an insider’s view of Google’s success principles.
- Understand how to create a user-centric business strategy.
- Discover ways to foster innovation and experimentation in your organization.
- Gain insights into data-driven decision-making processes.
11. Entity-Oriented Search
“Entity-Oriented Search” by Krisztian Balog is a deep dive into modern search engine tech. It focuses on entities, knowledge graphs, and semantic search and is aimed at readers with a background in information retrieval (IR).
A key strength is its coverage of cutting-edge research, like neural entity representations and knowledge-based language models. While tech-heavy, it touches on applications in QA, recommender systems, and digital assistants and discusses future trends.
It’s essential reading for IR, natural language processing (NLP), and artificial intelligence (AI) pros seeking in-depth knowledge of modern search engines.
Reasons to read:
- Deep dive into entity-oriented and semantic search tech.
- Research on knowledge graphs and semantic understanding.
- A detailed look at entity extraction, linking, and ranking algorithms.
- Insights on neural entity representations and knowledge-based language models.
- Expert knowledge from a renowned IR and search engine specialist.
Conclusion: Choosing Your Next Book
These 11 SEO books have got you covered – whether you’re a beginner or a seasoned pro.
For beginners, “SEO for Beginners” and “The Art of SEO” are solid starter packs that’ll teach you the SEO fundamentals.
As you level up, books like “Entity SEO” and “Product-Led SEO” explore more advanced topics like optimizing for entities and aligning SEO with business goals.
Several books focus on specific areas:
- “Local SEO Secrets” is a must-read if you’re targeting local customers.
- “Ecommerce SEO Mastery” zeroes in on ecommerce SEO.
- “The Link Building Book” is your starting point to master link building.
On the technical side, “Entity-Oriented Search” dives deep into semantic search and cutting-edge search engine tech. “How Google Works” gives you the inside scoop on Google’s mindset.
The key is picking books that match your skill level and areas of interest. Whether you want to learn SEO from scratch, level up your game, or specialize, there’s a book for you.
The Amazon links in this post are not affiliate links, and SEJ does not receive compensation when you click or make a purchase through these links.
More SEO & Marketing Books Worth Your Time:
Featured Image: PeopleImages.com – Yuri A/Shutterstock
SEO
The 100 Most Searched People on Google in 2024
These are the 100 most searched people, along with their monthly search volumes.
| # | Keyword | Search volume |
|---|---|---|
| 1 | donald trump | 7450000 |
| 2 | taylor swift | 7300000 |
| 3 | travis kelce | 4970000 |
| 4 | matthew perry | 3790000 |
| 5 | kamala harris | 2730000 |
| 6 | joe biden | 2480000 |
| 7 | caitlin clark | 2400000 |
| 8 | olivia rodrigo | 2100000 |
| 9 | jd vance | 2060000 |
| 10 | billie eilish | 1720000 |
| 11 | sabrina carpenter | 1680000 |
| 12 | kate middleton | 1660000 |
| 13 | patrick mahomes | 1570000 |
| 14 | gypsy rose | 1520000 |
| 15 | jason kelce | 1490000 |
| 16 | mihály csíkszentmihályi | 1460000 |
| 17 | timothee chalamet | 1450000 |
| 18 | tyreek hill | 1380000 |
| 19 | lola beltrán | 1350000 |
| 20 | lebron james | 1330000 |
| 21 | lauren boebert | 1310000 |
| 22 | barry keoghan | 1300000 |
| 23 | brock purdy | 1280000 |
| 24 | drake | 1250000 |
| 25 | griselda blanco | 1210000 |
| 26 | ryan reynolds | 1200000 |
| 27 | zendaya | 1180000 |
| 28 | scottie scheffler | 1170000 |
| 29 | aaron rodgers | 1170000 |
| 30 | casimir funk | 1170000 |
| 31 | zach bryan | 1150000 |
| 32 | tom brady | 1150000 |
| 33 | jacob elordi | 1140000 |
| 34 | blake lively | 1130000 |
| 35 | millie bobby brown | 1120000 |
| 36 | margot robbie | 1110000 |
| 37 | luisa moreno | 1110000 |
| 38 | bruce willis | 1090000 |
| 39 | v | 1090000 |
| 40 | eminem | 1050000 |
| 41 | cillian murphy | 1040000 |
| 42 | anthony edwards | 1020000 |
| 43 | peso pluma | 1000000 |
| 44 | fani willis | 1000000 |
| 45 | etel adnan | 1000000 |
| 46 | dua lipa | 991000 |
| 47 | jennifer aniston | 986000 |
| 48 | bianca censori | 983000 |
| 49 | megan fox | 982000 |
| 50 | shannen doherty | 977000 |
| 51 | mike tyson | 973000 |
| 52 | megan thee stallion | 971000 |
| 53 | ariana grande | 960000 |
| 54 | james baldwin | 958000 |
| 55 | britney spears | 954000 |
| 56 | oj simpson | 941000 |
| 57 | lainey wilson | 937000 |
| 58 | dan schneider | 933000 |
| 59 | emma stone | 932000 |
| 60 | raoul a. cortez | 930000 |
| 61 | dolly parton | 926000 |
| 62 | joe burrow | 925000 |
| 63 | anya taylor-joy | 925000 |
| 64 | amanda bynes | 924000 |
| 65 | danny masterson | 920000 |
| 66 | matt rife | 918000 |
| 67 | kendrick lamar | 912000 |
| 68 | messi | 901000 |
| 69 | bronny james | 901000 |
| 70 | adam sandler | 898000 |
| 71 | james earl jones | 897000 |
| 72 | coco gauff | 892000 |
| 73 | michael jackson | 884000 |
| 74 | victor wembanyama | 870000 |
| 75 | pink | 865000 |
| 76 | luka doncic | 861000 |
| 77 | selena gomez | 861000 |
| 78 | jelly roll | 861000 |
| 79 | jonathan majors | 840000 |
| 80 | justin fields | 824000 |
| 81 | meghan markle | 821000 |
| 82 | florence pugh | 819000 |
| 83 | post malone | 813000 |
| 84 | jayson tatum | 808000 |
| 85 | diddy | 804000 |
| 86 | justin jefferson | 799000 |
| 87 | sza | 794000 |
| 88 | ana de armas | 793000 |
| 89 | cj stroud | 790000 |
| 90 | ben affleck | 788000 |
| 91 | jake paul | 786000 |
| 92 | zac efron | 783000 |
| 93 | scarlett johansson | 779000 |
| 94 | deion sanders | 771000 |
| 95 | dr. victor chang | 760000 |
| 96 | andrew tate | 759000 |
| 97 | jason momoa | 756000 |
| 98 | pedro pascal | 755000 |
| 99 | bad bunny | 744000 |
| 100 | christian mccaffrey | 735000 |
| # | Keyword | Search volume |
|---|---|---|
| 1 | taylor swift | 17000000 |
| 2 | trump | 12400000 |
| 3 | matthew perry | 9100000 |
| 4 | sydney sweeney | 8500000 |
| 5 | travis kelce | 7500000 |
| 6 | oppenheimer | 7300000 |
| 7 | messi | 7000000 |
| 8 | elon musk | 6500000 |
| 9 | sinner | 6300000 |
| 10 | cristiano ronaldo | 6100000 |
| 11 | kate middleton | 5900000 |
| 12 | billie eilish | 5200000 |
| 13 | joe biden | 5000000 |
| 14 | xxxtentacion | 5000000 |
| 15 | 大谷翔平 | 4900000 |
| 16 | virat kohli | 4800000 |
| 17 | jenna ortega | 4700000 |
| 18 | v | 4600000 |
| 19 | ronaldo | 4600000 |
| 20 | kamala harris | 4300000 |
| 21 | olivia rodrigo | 4200000 |
| 22 | griselda blanco | 4000000 |
| 23 | margot robbie | 4000000 |
| 24 | cillian murphy | 3800000 |
| 25 | carlos alcaraz | 3600000 |
| 26 | dua lipa | 3600000 |
| 27 | zendaya | 3600000 |
| 28 | djokovic | 3500000 |
| 29 | bianca censori | 3500000 |
| 30 | jude bellingham | 3400000 |
| 31 | alcaraz | 3400000 |
| 32 | millie bobby brown | 3400000 |
| 33 | ana de armas | 3300000 |
| 34 | sabrina carpenter | 3300000 |
| 35 | henry cavill | 3300000 |
| 36 | ryan reynolds | 3200000 |
| 37 | ice spice | 3200000 |
| 38 | anne hathaway | 3100000 |
| 39 | timothée chalamet | 3100000 |
| 40 | putin | 3100000 |
| 41 | barry keoghan | 3000000 |
| 42 | lana rhoades | 3000000 |
| 43 | michael jackson | 3000000 |
| 44 | peso pluma | 3000000 |
| 45 | ariana grande | 3000000 |
| 46 | jacob elordi | 3000000 |
| 47 | lebron james | 3000000 |
| 48 | blake lively | 2900000 |
| 49 | bruce willis | 2900000 |
| 50 | lamine yamal | 2900000 |
| 51 | emma stone | 2900000 |
| 52 | shubman gill | 2900000 |
| 53 | simone biles | 2900000 |
| 54 | rohit sharma | 2900000 |
| 55 | brad pitt | 2900000 |
| 56 | eminem | 2900000 |
| 57 | jennifer aniston | 2800000 |
| 58 | timothee chalamet | 2800000 |
| 59 | mike tyson | 2700000 |
| 60 | megan fox | 2700000 |
| 61 | lola beltrán | 2700000 |
| 62 | caitlin clark | 2700000 |
| 63 | leonardo dicaprio | 2700000 |
| 64 | johnny depp | 2600000 |
| 65 | scarlett johansson | 2600000 |
| 66 | selena gomez | 2600000 |
| 67 | drake | 2600000 |
| 68 | mihály csíkszentmihályi | 2600000 |
| 69 | anya taylor-joy | 2500000 |
| 70 | madonna | 2500000 |
| 71 | britney spears | 2500000 |
| 72 | max verstappen | 2500000 |
| 73 | jeremy allen white | 2500000 |
| 74 | gypsy rose | 2500000 |
| 75 | andrew tate | 2500000 |
| 76 | kylie jenner | 2500000 |
| 77 | travis scott | 2400000 |
| 78 | fabrizio romano | 2400000 |
| 79 | jennifer lawrence | 2400000 |
| 80 | meghan markle | 2400000 |
| 81 | hardik pandya | 2400000 |
| 82 | keanu reeves | 2400000 |
| 83 | angelina jolie | 2400000 |
| 84 | glen powell | 2400000 |
| 85 | jd vance | 2400000 |
| 86 | shannen doherty | 2300000 |
| 87 | jungkook | 2300000 |
| 88 | jason momoa | 2300000 |
| 89 | jennifer lopez | 2300000 |
| 90 | bellingham | 2200000 |
| 91 | jeffrey epstein | 2200000 |
| 92 | justin bieber | 2200000 |
| 93 | florence pugh | 2200000 |
| 94 | kim kardashian | 2200000 |
| 95 | ben affleck | 2200000 |
| 96 | haaland | 2200000 |
| 97 | zac efron | 2200000 |
| 98 | tyson fury | 2200000 |
| 99 | imane khelif | 2100000 |
| 100 | adam sandler | 2100000 |
In almost every industry, there are celebrities, professionals, or influencers that other people want to emulate. For example, an amateur tennis player might want to know which tennis racket Novak Djokovic uses. Or a football player might want to know the shoes Trent Alexander-Arnold wears.
In fact, Equipboard has taken this idea seriously and created a site around the gear used by professional musicians.
You can do the same for your industry too.
Here’s how:
- Go to Keywords Explorer
- Enter the names of famous people in your niche
- Go to the Matching terms report
- Filter for keywords related to gears using the Include filter
For example, if I entered the names of professional tennis players (Roger Federer, Emma Radacanu, Rafael Nadal) and filtered for tennis gear keywords (e.g., shoes, racket, wristband, shorts), I see 960 potential keywords I could target. If I were a tennis site, I could create a category page for each celebrity and list out all their preferred equipment.
Another way is to enter a relevant keyword into Keywords Explorer, go to the Matching terms report, and observe keyword patterns. For example, if I were a fitness site, I could enter “weight loss” into Keywords Explorer.
The first thing I’ll notice is that many people are actually interested in how certain celebrities lost their weight. The second thing I notice is that the keywords all form a pattern: [first name][last name] weight loss.
As such, I can use the Word count filter to look for keywords that have 4 words, which gives me a list of celebrity-related weight loss keywords:
Want to do keyword research for your site? Sign up for Keywords Explorer.
Google Ranking Volatility Record, Forbes Advisor Slapped, Bing Generative Search Experience & More
Google’s AI Overviews Avoid Political Content, New Data Shows
Automattic demanded web host pay $32M annually for using WordPress trademark
8% Of Automattic Employees Choose To Resign
Google Shopping Researched with AI
5 Most Profitable Online Businesses You Can Start Today for Free!
The WordPress Saga: Does Matt Mullenweg Want a Fork or Not?
8 Best Banks for ECommerce Businesses in 2024
Executive Director Of WordPress Resigns
Google AI Overview Ads, New Link Format, AI Organized Search Results & Plus More
-
SEARCHENGINES6 days agoGoogle Ranking Volatility Record, Forbes Advisor Slapped, Bing Generative Search Experience & More
-
SEO5 days agoGoogle’s AI Overviews Avoid Political Content, New Data Shows
-
WORDPRESS6 days agoAutomattic demanded web host pay $32M annually for using WordPress trademark
-
SEO6 days ago8% Of Automattic Employees Choose To Resign
-
SEARCHENGINES4 days agoGoogle Shopping Researched with AI
-
WORDPRESS5 days ago5 Most Profitable Online Businesses You Can Start Today for Free!
-
WORDPRESS6 days agoThe WordPress Saga: Does Matt Mullenweg Want a Fork or Not?
-
WORDPRESS4 days ago8 Best Banks for ECommerce Businesses in 2024
You must be logged in to post a comment Login