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4 Future Enterprise SEO Considerations

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4 Future Enterprise SEO Considerations

As the web grows, more and more enterprises are now looking to SEO to help provide insights into how users interact with search engines and how they (and other sites) communicate autonomously.

This article highlights four trends and ways for Enterprise SEO marketers to stay ahead of change and the evolution of the web.

In a survey of CMOs in the United States, conducted in August 2021, 43% of respondents pointed to marketing technology, data, and analytics as their top priority for the upcoming 12 months.

The number of worldwide web users has risen to 4.5 billion, with over 2 billion websites now on the internet.

At the same time, the size of enterprise websites is growing as both marketers and machines, daily and hourly, add more pages of content, assets, and information

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Ensuring your brand is discoverable by the right audience is becoming more competitive and complex.

On top of these challenges, concerns and opportunities are converging around:

  • Web 3.0: The need to understand what decentralization of the web means as users begin to own their data and personalization rises in importance.
  • Googles Page Experience and Core Web Vitals: The rise and importance of technical SEO and website infrastructure, content and speed
  • The proliferation of search entry points: New search entry points from wearable, voice-activated devices, and mobile phones mean the next-generation market is expected to reach $55.7 billion by 2025.
  • Data Privacy and Compliance: As initiatives grow around privacy, such as GDPR and the use of third-party data sources, marketers have to look to new ways to ensure data is high fidelity and secure.

According to Google’s John Muller:

“The best way to sum what is being pushed as the web3, in my opinion: it’s a way to store, access, and transfer some types of information, by using “public databases.”

SEO, as you know, is about making some information (like content or product listings) more accessible and easier to find online.

The web as you know it won’t change. You’ll still have search engines, marketplaces, social networks, e-commerce, etc. As long as there are search engines, there’ll be a need for SEO.”

Over recent years a crucial part of SEO was (and still should be) focused on how users interact with search engines.

However, as the web evolves, there is a need to understand how machines communicate with each other and how sites like Google and Facebook interact with websites.

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Optimizing search experiences means understanding how humans and machines generate and process data.

Below are a few key areas to focus on to prepare for next-generation SEO.

Build Trustworthy Informational Infrastructures

The formidable growth of data means marketers now need to ensure their data sources are trustworthy and accurate.

Compliance around GDPR, CCPA, and privacy is becoming a major concern for organizations dealing with sensitive information, as referenced by CIO.com’s top eight priorities for 2022.

Security is a vital component of Enterprise-Grade SEO, ensuring your technologies are compliant now and in the future.

This protects you and your clients and users.

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Focus On Semantics

In 2001, Tim Berners-Lee (the founder of the internet) described the semantic web as a component of Web 3.0.

“The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.”

Innovations in search technology centered around understanding the knowledge graph. Semantics are helping marketers better understand the relationships and meaning behind search queries.

Google uses Natural Language Processing (NLP) to help the search engine better understand and process queries – just as humans would.

In enterprise SEO, it is also helping enterprise SEO experts better understand the meaning behind searches and consumer wants and needs.

As machine-to-machine communication increases, it will also be essential to understand how they do this, what data it produces, and how to process it.

Leverage trustworthy technology and structured data sources and focus on key concepts like E-A-T to ensure your content matches intent and answers context between phrases and questions.

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Advance Your Understanding of Machine Learning And AI

As of 2021, in the state of Big Data And AI Executive Summary, among surveyed U.S. organizations, there was an overall focus toward driving innovation with data. Almost a third indicated active transformational business outcomes within their companies.

The application of NLP technology will be the driving force behind the next generation of SEO.

Embracing it is essential from data and information retrieval to website error detection and automation.

The human brain can only process so much data.

With the amount of data online to reach 175,000 zeta-bytes, processing becomes impossible.

Content writers and digital marketing experts are now tasked with a number one priority – understanding website-website communications – so they can update and make the necessary modifications to their website, search, and content marketing strategies.

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Advanced technologies are self-learning and, in some cases, self-driving to help enterprise SEO professionals understand and process complex data.

They are assisting marketers to save valuable resources on mundane tasks, automate reporting, and fix critical errors on their website with zero-touch.

The intelligent use of marketing technology provides vital business intelligence and helps automate its execution.

Smart SEOs utilize this to improve business results and evolve their careers by elevating their role and learning new skills.

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Apply Data Insights Across Your Search And Martech Stack

Traditionally, SEO has relied on assumption-based best practices.

And it still does.

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However, the application of Data science in search is becoming mission-critical.

This is especially true as website functionality and SEO needs become more advanced.

At the same time, search engines are getting more sophisticated in evaluating websites.

The result is a need to obtain, analyze, and extract insights from large datasets.

Particularly in an enterprise environment, SEOs draw heavily on data science methods and tools to process search data in a way to drive insights: Whether through statistical analysis, full API access to datasets, data processing algorithms designed for Big Data, or the freedom to experiment through how search data is collected.

However, with massive amounts of data, it makes no sense why marketers won’t use technology to streamline their SEO efforts.

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Image from Natata/Shutterstock, February 2022

When it comes to data science, SEO experts have a dilemma in choosing the right approach.

For example, they often ask themselves:

Should I use excel for my day-to-day work in processing data, or is it worth the pain to learn Python?

Would I produce better work by building my own interactive dashboards with R or Python, or should you just go with Google Data Studio?

Integrating Data Science modules into your technology stack can help enterprise SEOs, especially digital marketers, benefit from data science without having to become a data scientist – and without using resources to tackle the dilemmas outlined above.

Enterprise SEO platforms of tomorrow require the capabilities of data science infrastructure at the core of their martech stack to give marketers flexibility of options.

Read More On SEJ

3 Data Skill Sets You Need to Succeed in Data SEO

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3 Types of Data Science SEO Teams and How They Work

Conclusion

As the web – and the breadth and depth of human connection inside of it – evolves, the value of search data as a proxy for the real-time voice of the customer will continue to grow.

For Enterprise SEO, unlocking that potential requires an increasing focus on technology, but it cannot be at the expense of the thoughtful, creative thinking that drives exceptional customer experiences.

That balance between data science, creativity, and the humanization of AI-generated touchpoints is an essential component of any marketing strategy built to withstand this next era of the growth of the web.

More resources:


Featured Image: Olivier Le Moal/Shutterstock

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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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