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Is It A Google Ranking Factor?

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Is It A Google Ranking Factor?

Review sentiment reflects the prevailing opinion shared by customers in reviews of a business’s products or services.

Whether the sentiment is positive or negative is thought by some to have an impact on a business’s search rankings.

There’s legitimate concern over those claims, as it would leave businesses vulnerable to negative SEO attacks if rankings could be lowered with bad reviews.

Conversely, there’s concern about competitors artificially inflating their rankings with fake positive reviews.

There’s no question review sentiment can influence consumer behavior and impact metrics like conversion rate.

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But does it have any influence on Google’s search rankings?

Let’s look at the claims and evidence surrounding review sentiment as a ranking factor.

The Claim: Review Sentiment Is A Ranking Factor

Review sentiment gets brought up in discussions about Google ranking factors, with some claiming that a positive sentiment can boost rankings and a negative sentiment can lower rankings.

There are a number of reasons for these claims.

One of the most frequently cited pieces of “evidence” is the correlation between high ranking websites and businesses that have positive reviews.

Sentiment analysis happens to be a feature included in SEO software, which may lead to the conclusion that review sentiment has an impact on search rankings.

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Search Engine Journal’s Roger Montti published an article with more detail on where the claims around sentiment originate from and why they persist.

In addition to what’s mentioned in Montti’s article, Google’s Search Quality Rater guidelines play a role in keeping review sentiment a recurring topic amongst SEOs.

Google’s Search Quality Rater Guidelines

Google lends credence to the claim that review sentiment is a ranking factor in its Search Quality Rater guidelines.

Section 2.6 of the guidelines tells Google’s Quality Raters what to look for when assessing the reputation of a website or content creator.

There are a number of notes about checking review sites to understand more about a business’s reputation.

Here’s an example:

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“Customer reviews can be helpful for assessing the reputation of a store or business. However, you should interpret these reviews with care, particularly if there are only a few. Be skeptical of both positive and negative user reviews. Anyone can write them, including the creator of the website or someone the store or business hires for this purpose.”

Some have drawn conclusions regarding review sentiment as a ranking factor based on the above.

However, Search Quality Raters have no direct impact on search rankings, and the guidelines they follow aren’t based on what Google’s algorithm uses as ranking factors.

Quality Raters gather feedback on Google’s search results to help ensure webpages displayed in the SERPs meet a certain quality threshold.

One of the ways webpage quality is measured is by examining the reputation of the website where it’s published.

Headlines related to this chapter of the Quality Rater guidelines circulated in 2017 after Google’s Gary Illyes spoke at a conference on the topic of reputation analysis.

Some in attendance misconstrued his statements and incorrectly reported Illyes said reputation can impact a website’s position in search results.

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However, Illyes was only discussing how the Quality Rater guidelines work.

While customer reviews are a component of reputation research, the guidelines do suggest approaching them with a degree of skepticism.

Thankfully, Google has provided clarity on this subject and stated definitively whether review sentiment is a ranking factor.

The Evidence For Review Sentiment As A Ranking Factor

Studies may try to prove review sentiment is a ranking factor by showing a correlation between customer reviews and a website’s position in search results.

We’re only going to look at the confirmed evidence, and Google has stated repeatedly that review sentiment is not a ranking factor.

Google’s Gary Illyes swiftly denied the claims that began circulating online after his conference talk, which we referenced in the previous section.

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Not only does Google not use sentiment as a ranking factor, its algorithms don’t even recognize sentiment.

Google’s Danny Sullivan confirmed this in 2018.

Google can’t use sentiment for rankings if it has no concept of what the sentiment is.

That should be enough to end the speculation around review sentiment as a ranking factor, but theories continue to linger.

In 2021, Sullivan was asked whether anything had changed since he last said Google recognize sentiment.

He confirms nothing has changed.

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Sentiment is still not recognized by Google’s algorithm.

Review Sentiment As A Ranking Factor: Our Verdict

Review sentiment is confirmed to not be a ranking factor for organic search rankings, though we do acknowledge it is a factor for local search rankings.

This has always been the case, ever since Google’s inability to recognize sentiment was infamously exploited.

Back around 2010, a company was angering customers to the point that they would write bad reviews.

This was done deliberately because the links received from the reviews pushed the company’s website higher in search results.

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Google didn’t recognize people linking to the company were saying negative things, Google only recognized the links.

Since then Google has gotten better at not rewarding websites that rip off customers, but Google’s indifference toward sentiment remains.

Review sentiment can directly impact other areas of online marketing, but search rankings are not one of them.


Featured Image: Robin Biong/Search Engine Journal




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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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Featured Image: Novikov Aleksey/Shutterstock

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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.

More resources: 


Featured Image: Tapati Rinchumrus/Shutterstock

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