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What It Means For SEO

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What It Means For SEO

Google not only changes how it presents information to users and updates algorithms, but the way users search is also changing.

SEO best practices are changing every year, so it’s best to keep up with what it means to properly optimize a website today.

Signals Of Authenticity And Usefulness

Google has released five Product Review Updates since April 2021.

The associated guidelines that Google published for writing product reviews recommend specific on-page factors that must exist in order for the page to be ranked for product review-related search queries.

This is an extraordinary change in how sites are ranked. Google has redefined what it means for a webpage to be relevant for a search query.

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The definition of relevance simply meant that a webpage has to be about what the user was searching for, in this case, product reviews.

Product reviews were commonly thought of as expressing an opinion about a product, comparing the features of the product to the cost, and expressing a judgment if something is worth purchasing or not.

But now, it’s not enough for a webpage to review a product. It must also be authentic and useful. That’s a big change in how sites are ranked.

Here are two product review Google ranking factors introduced in December 2021:

“…we are introducing two new best practices for product reviews, to take effect in a future update.

  • Provide evidence such as visuals, audio, or other links of your own experience with the product, to support your expertise and reinforce the authenticity of your review.
  • Consider including links to multiple sellers to give the reader the option to purchase from their merchant of choice, if it makes sense for your site.”

Google calls them “best practices” but also says they will “take effect,” which implies that it’s something in the algorithm that is looking for these two qualities.

The first signal is about the authenticity of the product review.

The second signal is specific to sites that don’t sell the reviewed products, and it’s about being useful to site visitors by giving them multiple stores to purchase a product.

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Authenticity and usefulness as signals of relevance is a huge shift for SEO.

Search Is Increasingly About Context

Context is the setting in which something is said or done, which provides meaning to those actions or settings.

The context of a search can influence the search results.

What’s happening is that Google is redefining what it means to be relevant by understanding the user context.

When a user searches for [pizza], Google does not show recipes for pizza; it shows local pizza restaurants.

Google defines the meaning of the keyword phrase “pizza” according to the context of the user, which includes the geographic location of that user.

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Another context that influences search results is current events, which can change the meaning of a search phrase. This is a part of what is known as the Freshness algorithm.

The Freshness algorithm takes into account time-based factors that can change the meaning of a search phrase, and this influences what websites are shown.

So, those are the contexts of geography and time influencing what it means to be relevant for a search query.

Search Is Increasingly About Topics

As noted in the discussion of the 2013 Hummingbird update, Google is increasingly moving away from keywords and more toward understanding the multiple meanings inherent in search queries.

Google is also redefining relevance through the concept of topics.

When someone searches with the keyword [mustang], the likeliest meaning is the automobile, right?

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Screenshot from search for [mustang], Google, October 2022

In the above screenshot, Google lists multiple topics related to the Ford Mustang automobile.

  • Overview.
  • Images.
  • For sale.
  • Price.
  • Performance.
  • Engine.
  • Charging.
  • News.
  • Reviews.
  • Specs.
  • Configurations.

Clicking on any of the above-listed topics results in a different search result.

Some of the top-ranked sites appear on different topics because they are relevant to multiple topics. Something to think about, right?

Screenshot of Ford Mustang Mach-EScreenshot from search for [mustang], Google, October 2022

Back in 2018, Google’s Danny Sullivan tweeted about a way to change the search results by topic, which are the topic buttons we just reviewed above.

Danny tweeted:

“A new dynamic way to quickly change results is coming, such as how you can toggle to quickly change about a dog breeds.

This is powered by the Topic Layer, a way of leveraging how the Knowledge Graph knows about people, places and things into topics.”

Topic LayerScreenshot from Danny Sullivan’s Twitter, October 2022

Google published a blog post about these changes and discussed them in the section titled, Dynamic Organization of Search Results.

In the article, Google explained that it is organizing some searches by topics and subtopics.

“Every search journey is different, and especially if you’re not familiar with the topic, it’s not always clear what your next search should be to help you learn more.

So we’re introducing a new way of dynamically organizing search results that helps you more easily determine what information to explore next.”

Screenshot of Dynamically Organized Search ResultsScreenshot from blog.google, October 2022

People Also Ask (PAA) is a way for Google to help users navigate to the information they’re looking for, particularly when the user searches with a vague keyword phrase, like CBD.

The queries listed in the PAA are topics.

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People like to think of them as keyword phrases, but they are more than keywords. They are topics for webpage of content.

Screenshot of People Also AskScreenshot from Google search, October 2022

Clicking the first topic, “Does CBD do anything?” reveals an article on the topic of whether CBD products work.

Clicking the first topic, Screenshot from Google search, October 2022

Some people and tools like to use every single People Also Ask suggestion box as keywords for use in a single comprehensive article.

But what is missed in that approach is that every individual suggestion is a single topic for one article.

Because Google likes to rank precise content, one would have better luck creating content for each topic rather than a giant page of content on multiple topics since a giant page is not particularly precise.

Google’s focus on topics continues.

On September 28, 2022, Google introduced more ways to craft search queries by topic.

Takeaway: Google’s Focus On Topics

Keywords are important because the proper use of the correct keyword phrases will help the content connect with users who use those keywords when searching for answers or information.

Advanced users tend to use more jargon, and less advanced users who have less knowledge will use more general terms.

Given that understanding, it’s important to keep in mind that Google understands the world in terms of topics and not keyword phrases.

When Google looks at a page, it’s understanding the page at the level of, “What’s this page about? What is the topic?”

Content can appear unnatural when the content author focuses on keywords, in my opinion.

This happens is because a keyword-focused article tends to meander as the author tries to stuff the article with the targeted keyword phrases, sometimes repeating.

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Keyword-focused content feels unnatural because the author is struggling to create sentences that include the keywords.

A better way to create content, in my opinion, is to focus on topics (as well as usefulness!).

Relevance And Topic Category

For some types of search queries, Google may be ranking sites that belong to a category of sites.

There is a 2015 patent named Re-ranking resources based on categorical quality that describes a way to rank webpages based on whether the category of the content matches the category implied by the search query.

I believe this patent may be related to the August 2018 Google update known as the Medic Update.

It was called the Medic Update because it noticeably affected the category of Health websites.

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This patent represents a revolutionary change in how Google determines what is relevant for certain queries and discusses how it will re-rank the search results according to whether a website belongs to a topic category.

Google’s patent first describes two kinds of searches: informational and navigational.

An informational search is one that can be answered by multiple kinds of sites. Google uses examples of queries about football and space travel as the kinds of searches that are informational.

It then notes that navigational queries are when users search using the name of a site, like YouTube.

Then it gets to the point of the patent, which is a type of search query that is relevant to a category of information.

The patent says:

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“Sometimes, however, users may have a particular interest in a category of information for which there are a number of well-served resources.”

That’s why the patent is called, “Re-ranking resources based on categorical quality” and in the abstract (the description of the patent) it states, it’s about “re-ranking resources for categorical queries.”

The word “categorical” is used in the sense of something belonging to a category.

A simple description of this patent is that it will rank a search query and then apply a filter to the search results that are based on categories that a search query belongs to. That’s what is meant by the word “re-rank.”

Re-ranking is a process of ranking websites for a search query and then selecting the top results by re-ranking the results based on additional criteria.

The following passage from the patent uses the words “quality condition” and “resources.”

In the context of this patent, the “quality condition” means the quality of being a part of a category.

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A “resource” is just a webpage.

It first describes two ranking scenarios. A regular ranking of websites (“search ranking”) and another ranking called a “quality ranking” that ranks pages that belong to a “category.”

Remember, resources mean a webpage, and the quality condition is the quality of belonging to a category.

Here’s the important passage from the patent:

“By re-ranking search results for a proper subset of resources that satisfy a quality condition, the search system provides a set of search results that lists resources that belong to a category according to a quality ranking that differs from a search ranking of a received query.”

Next, it explains the benefit of re-ranking search results based on the “quality with respect to the category.”

“Because the search results are provided according to a ranking that is based, in part, on quality with respect to the category, the search results are more likely to satisfy a user’s informational need when the users issues a query that is categorical for the category.”

Lastly, I call attention to the section titled, Detailed Description, where the patent goes into more detail.

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First, it notes that when users don’t know much about a category, they will tend to not use the jargon that is typical for that category and instead use “broader” or more general phrases.

“…when a user knows very little about the category, the queries are more likely to be broader queries.

This is because a user may not have developed an understanding of the category, and may not be aware of the websites and resources that best serve the category.”

Next, the patent says that it will take that general query that is related to a category and match it to sites that fit into that category.

As an example, if someone searches on the topic of pain in the stomach, Google might match that query to the category of medical websites and re-rank the top-ranked search results to only show websites that belong to the medical category of websites.

The patent explains:

“The systems and methods described below re-rank resources for a broad categorical query by their corresponding quality in the category to which the categorical query corresponds.

The set of re-ranked search results are more likely to show the websites and resources that best serve the category.”

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To Be Relevant Means To Fit Into A Category

The point of that patent from 2015 is that Google likely changed what it means to be relevant.

For example, for medical queries, Google ranks websites with traditional ranking factors like links and content.

But then Google re-ranks those search results by filtering out all the sites that don’t fit into the right category for that search query.

This change was a radical departure for Google in 2018 because it meant that alternative-health sites that used to rank for medical queries stopped ranking for those queries.

Those sites were not a part of the medical category, they were a part of the alternative-health category.

Google said that the 2018 update was not targeting health sites; it was simply more noticeable in that vertical.

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That means that this change applies to a wide range of other categories as well.

This means that the meaning of relevance for some queries has changed. It’s not enough to have certain keywords in the content for certain verticals, the content must also fit into the right category, described by the patent as the “quality with respect to the category.”

Precise Search Results And Keywords

Google’s search ranking algorithms have progressively become more precise.

Precision in search results is something that took off in a big way after Google’s Hummingbird update in 2013.

What made search more precise after the Hummingbird update was that Google wasn’t using all the keywords in a search query to match what is on a webpage.

Instead, what was happening is that Google was ignoring some words, particularly in natural language type searches, and focusing on what that query actually means and then using that understanding to match the search query to a webpage.

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Precision is something important to think about when considering how to SEO a webpage.

Google engineer (at the time) Matt Cutts explained:

“Hummingbird is a rewrite of the core search algorithm.

Just to do a better job of matching the users queries with documents, especially for natural language queries, you know the queries get longer, they have more words in them and sometimes those words matter and sometimes they don’t.”

Cutts is quoted again in the above article expanding on the idea of precision:

“…the idea behind Hummingbird is, if you’re doing a query, it might be a natural language query, and you might include some word that you don’t necessarily need…

…Some of those words don’t matter as much.

And previously, Google used to match just the words in the query.

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Now, we’re starting to say which ones are actually more helpful and which ones are more important.”

This was the beginning of Google evolving to understand topics and what users really want.

Most importantly, Google’s focus on precision remains and can be seen in their increasingly sophisticated ranking technologies like Google Lens, where Google can rank webpages based on users searching with images from their cell phones.

For example, one can take a snapshot of a bug that’s on the ground and search with that.

Precision In User Intent

A change in search engines dating to approximately 2012/2013 is Google’s increasing use of user intent in search results.

Google didn’t announce the introduction of user intent into the search results.

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And the reporting of a June 2011 Q&A between Matt Cutts and Danny Sullivan where Cutts discusses user intent went over the heads of the people reporting it.

In the Q&A, Cutts talks about how Larry Page came to him and asked why the search results for [warm mangoes] weren’t so good.

Cutts wondered what the user intent was for that search and discovered some facts about how warm mangoes ripen in a box.

I was there during the Q&A, and I was blown away by Google’s ambition to integrate user intent into the search results.

But none of the reporting in 2011 understood how the [warm mangoes] search fit into what Cutts was talking about, even though he mentioned the phrase “user intent.

So, it was just reported as an amusing anecdote about warm mangoes.

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Over 10 years later, everyone is talking about user intent.

But there’s a new understanding of intent that goes beyond the current understanding of it.

It’s the understanding that user intent is more than just informational, transactional, etc.

Those categories are actually very general, and there is actually a more nuanced way to understand user intent by understanding the verbs used in search queries.

Dixon Jones of content optimization tools site Inlinks shares their revolutionary approach to understanding user intent:

“Verbs fundamentally change keyword research.

My best practice recommendation is to abandon the notion of “User intent” being described as “Informational/Navigational/Transactional/commercial or Local Intent”.

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Boxing user intent into only four vague descriptions is not entirely accurate.

A user’s intent when they search is far more nuanced than trying to do one of four things, it is more specific.

User intent is much better described by analyzing verbs.

Most keyword research data focuses on words or phrases, without understanding user intent, which can lead to fundamental errors.

For example, a site about horses might do keyword research that finds search volumes around phrases like “Mustang” or even “Horse power” which are entirely different topics and concepts, which may or may not be relevant to a website’s topic.

Here is the key point: Words generated through keyword research are not specifically relevant to what anyone searches for without a verb in the search query to give the search context.

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The verb “ride” and “mustang” together suggests and entirely different meaning and audience than the verb “drive” and “mustang.”

Further, a phrase like “buy a Mustang” probably isn’t relevant to a horse website because the most popular intent is related to an automobile.

Without any other information about the user, you cannot know for sure other than to make a guess based on the most popular intent.

But it’s still just a guess.

Google may well know more about the user, based on their search history, but all you can do as an SEO is to be true to your website’s topic and purpose.

If you start writing content around a keyword phrase simply because the search volumes are high, it’s possible for the site to lose context, rather than improve context.

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Analyzing verbs in keyword research is one of the ideas that we have been researching at InLinks.net.

Using NLP algorithms can help weed out irrelevant keyword suggestions when the entities and verbs in the user queries are checked for proximity to topics in your own content.”

Search Queries Have Evolved

It’s important to note that Google continues to evolve what it means to search. Initially, searching meant typing words into a desktop or laptop computer.

Then, it involved speaking those queries into a mobile phone.

Now, it’s changing to include searching with images through the Google Lens app.

For example, I wanted more information about a bottle of wine at the store. I took a photo of it and submitted it to Google Lens, which returned search results about that wine.

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What’s notable about evolving search queries is that it’s Google that is driving the evolution by creating new ways for users to search, such as Google Lens.

On September 28, 2022, Google announced nine new ways for users to conduct shopping searches.

It shared:

“Today at our annual Search On event, we announced nine new ways we’re transforming the way you shop with Google, bringing you a more immersive, informed and personalized shopping experience.

Powering this experience is the Shopping Graph, our AI-enhanced model that now understands more than 35 billion product listings — up from 24 billion just last year.”

And then there is multi-search, a new way to search:

Each change to how users can search and how Google presents information is an opportunity for businesses to claim a share of the new ways of searching and being discovered.

The old way of 10 blue lines is long behind us, powered by changes in technology.

It’s a new era for search. Are you up to date?

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brightonSEO Live Blog

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brightonSEO Live Blog

Hello everyone. It’s April again, so I’m back in Brighton for another two days of sun, sea, and SEO!

Being the introvert I am, my idea of fun isn’t hanging around our booth all day explaining we’ve run out of t-shirts (seriously, you need to be fast if you want swag!). So I decided to do something useful and live-blog the event instead.

Follow below for talk takeaways and (very) mildly humorous commentary. 

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Google Further Postpones Third-Party Cookie Deprecation In Chrome

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Close-up of a document with a grid and a red stamp that reads "delayed" over the word "status" due to Chrome's deprecation of third-party cookies.

Google has again delayed its plan to phase out third-party cookies in the Chrome web browser. The latest postponement comes after ongoing challenges in reconciling feedback from industry stakeholders and regulators.

The announcement was made in Google and the UK’s Competition and Markets Authority (CMA) joint quarterly report on the Privacy Sandbox initiative, scheduled for release on April 26.

Chrome’s Third-Party Cookie Phaseout Pushed To 2025

Google states it “will not complete third-party cookie deprecation during the second half of Q4” this year as planned.

Instead, the tech giant aims to begin deprecating third-party cookies in Chrome “starting early next year,” assuming an agreement can be reached with the CMA and the UK’s Information Commissioner’s Office (ICO).

The statement reads:

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“We recognize that there are ongoing challenges related to reconciling divergent feedback from the industry, regulators and developers, and will continue to engage closely with the entire ecosystem. It’s also critical that the CMA has sufficient time to review all evidence, including results from industry tests, which the CMA has asked market participants to provide by the end of June.”

Continued Engagement With Regulators

Google reiterated its commitment to “engaging closely with the CMA and ICO” throughout the process and hopes to conclude discussions this year.

This marks the third delay to Google’s plan to deprecate third-party cookies, initially aiming for a Q3 2023 phaseout before pushing it back to late 2024.

The postponements reflect the challenges in transitioning away from cross-site user tracking while balancing privacy and advertiser interests.

Transition Period & Impact

In January, Chrome began restricting third-party cookie access for 1% of users globally. This percentage was expected to gradually increase until 100% of users were covered by Q3 2024.

However, the latest delay gives websites and services more time to migrate away from third-party cookie dependencies through Google’s limited “deprecation trials” program.

The trials offer temporary cookie access extensions until December 27, 2024, for non-advertising use cases that can demonstrate direct user impact and functional breakage.

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While easing the transition, the trials have strict eligibility rules. Advertising-related services are ineligible, and origins matching known ad-related domains are rejected.

Google states the program aims to address functional issues rather than relieve general data collection inconveniences.

Publisher & Advertiser Implications

The repeated delays highlight the potential disruption for digital publishers and advertisers relying on third-party cookie tracking.

Industry groups have raised concerns that restricting cross-site tracking could push websites toward more opaque privacy-invasive practices.

However, privacy advocates view the phaseout as crucial in preventing covert user profiling across the web.

With the latest postponement, all parties have more time to prepare for the eventual loss of third-party cookies and adopt Google’s proposed Privacy Sandbox APIs as replacements.

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How To Write ChatGPT Prompts To Get The Best Results

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How To Write ChatGPT Prompts To Get The Best Results

ChatGPT is a game changer in the field of SEO. This powerful language model can generate human-like content, making it an invaluable tool for SEO professionals.

However, the prompts you provide largely determine the quality of the output.

To unlock the full potential of ChatGPT and create content that resonates with your audience and search engines, writing effective prompts is crucial.

In this comprehensive guide, we’ll explore the art of writing prompts for ChatGPT, covering everything from basic techniques to advanced strategies for layering prompts and generating high-quality, SEO-friendly content.

Writing Prompts For ChatGPT

What Is A ChatGPT Prompt?

A ChatGPT prompt is an instruction or discussion topic a user provides for the ChatGPT AI model to respond to.

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The prompt can be a question, statement, or any other stimulus to spark creativity, reflection, or engagement.

Users can use the prompt to generate ideas, share their thoughts, or start a conversation.

ChatGPT prompts are designed to be open-ended and can be customized based on the user’s preferences and interests.

How To Write Prompts For ChatGPT

Start by giving ChatGPT a writing prompt, such as, “Write a short story about a person who discovers they have a superpower.”

ChatGPT will then generate a response based on your prompt. Depending on the prompt’s complexity and the level of detail you requested, the answer may be a few sentences or several paragraphs long.

Use the ChatGPT-generated response as a starting point for your writing. You can take the ideas and concepts presented in the answer and expand upon them, adding your own unique spin to the story.

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If you want to generate additional ideas, try asking ChatGPT follow-up questions related to your original prompt.

For example, you could ask, “What challenges might the person face in exploring their newfound superpower?” Or, “How might the person’s relationships with others be affected by their superpower?”

Remember that ChatGPT’s answers are generated by artificial intelligence and may not always be perfect or exactly what you want.

However, they can still be a great source of inspiration and help you start writing.

Must-Have GPTs Assistant

I recommend installing the WebBrowser Assistant created by the OpenAI Team. This tool allows you to add relevant Bing results to your ChatGPT prompts.

This assistant adds the first web results to your ChatGPT prompts for more accurate and up-to-date conversations.

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It is very easy to install in only two clicks. (Click on Start Chat.)

Screenshot from ChatGPT, April 2024

For example, if I ask, “Who is Vincent Terrasi?,” ChatGPT has no answer.

With WebBrower Assistant, the assistant creates a new prompt with the first Bing results, and now ChatGPT knows who Vincent Terrasi is.

Enabling reverse prompt engineeringScreenshot from ChatGPT, March 2023

You can test other GPT assistants available in the GPTs search engine if you want to use Google results.

Master Reverse Prompt Engineering

ChatGPT can be an excellent tool for reverse engineering prompts because it generates natural and engaging responses to any given input.

By analyzing the prompts generated by ChatGPT, it is possible to gain insight into the model’s underlying thought processes and decision-making strategies.

One key benefit of using ChatGPT to reverse engineer prompts is that the model is highly transparent in its decision-making.

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This means that the reasoning and logic behind each response can be traced, making it easier to understand how the model arrives at its conclusions.

Once you’ve done this a few times for different types of content, you’ll gain insight into crafting more effective prompts.

Prepare Your ChatGPT For Generating Prompts

First, activate the reverse prompt engineering.

  • Type the following prompt: “Enable Reverse Prompt Engineering? By Reverse Prompt Engineering I mean creating a prompt from a given text.”
Enabling reverse prompt engineeringScreenshot from ChatGPT, March 2023

ChatGPT is now ready to generate your prompt. You can test the product description in a new chatbot session and evaluate the generated prompt.

  • Type: “Create a very technical reverse prompt engineering template for a product description about iPhone 11.”
Reverse Prompt engineering via WebChatGPTScreenshot from ChatGPT, March 2023

The result is amazing. You can test with a full text that you want to reproduce. Here is an example of a prompt for selling a Kindle on Amazon.

  • Type: “Reverse Prompt engineer the following {product), capture the writing style and the length of the text :
    product =”
Reverse prompt engineering: Amazon productScreenshot from ChatGPT, March 2023

I tested it on an SEJ blog post. Enjoy the analysis – it is excellent.

  • Type: “Reverse Prompt engineer the following {text}, capture the tone and writing style of the {text} to include in the prompt :
    text = all text coming from https://www.searchenginejournal.com/google-bard-training-data/478941/”
Reverse prompt engineering an SEJ blog postScreenshot from ChatGPT, March 2023

But be careful not to use ChatGPT to generate your texts. It is just a personal assistant.

Go Deeper

Prompts and examples for SEO:

  • Keyword research and content ideas prompt: “Provide a list of 20 long-tail keyword ideas related to ‘local SEO strategies’ along with brief content topic descriptions for each keyword.”
  • Optimizing content for featured snippets prompt: “Write a 40-50 word paragraph optimized for the query ‘what is the featured snippet in Google search’ that could potentially earn the featured snippet.”
  • Creating meta descriptions prompt: “Draft a compelling meta description for the following blog post title: ’10 Technical SEO Factors You Can’t Ignore in 2024′.”

Important Considerations:

  • Always Fact-Check: While ChatGPT can be a helpful tool, it’s crucial to remember that it may generate inaccurate or fabricated information. Always verify any facts, statistics, or quotes generated by ChatGPT before incorporating them into your content.
  • Maintain Control and Creativity: Use ChatGPT as a tool to assist your writing, not replace it. Don’t rely on it to do your thinking or create content from scratch. Your unique perspective and creativity are essential for producing high-quality, engaging content.
  • Iteration is Key: Refine and revise the outputs generated by ChatGPT to ensure they align with your voice, style, and intended message.

Additional Prompts for Rewording and SEO:
– Rewrite this sentence to be more concise and impactful.
– Suggest alternative phrasing for this section to improve clarity.
– Identify opportunities to incorporate relevant internal and external links.
– Analyze the keyword density and suggest improvements for better SEO.

Remember, while ChatGPT can be a valuable tool, it’s essential to use it responsibly and maintain control over your content creation process.

Experiment And Refine Your Prompting Techniques

Writing effective prompts for ChatGPT is an essential skill for any SEO professional who wants to harness the power of AI-generated content.

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Hopefully, the insights and examples shared in this article can inspire you and help guide you to crafting stronger prompts that yield high-quality content.

Remember to experiment with layering prompts, iterating on the output, and continually refining your prompting techniques.

This will help you stay ahead of the curve in the ever-changing world of SEO.

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Featured Image: Tapati Rinchumrus/Shutterstock

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