Tips and tricks to write SEO-friendly blog posts in the AI era

It is no secret that publishing SEO-friendly blog posts is one of the easiest and most effective ways to drive organic traffic and improve SERP rankings. However, in the era of artificial intelligence, blog posts matter more than ever. They help establish brand authority by consistently delivering fresh, valuable content that can be cited in AI-generated answers.

In this guide, we will share a practical, detailed approach to writing SEO-friendly blog content that not only ranks on Google SERPs but is also surfaced by AI models.

Key takeaways

  • SEO friendly blog post now means writing with search intent, ensuring content is clear and quotable for AI systems
  • Key factors for SEO friendly blog posts include trustworthiness, machine-readability, answer-first structure, and topical authority
  • Conduct thorough keyword research and find readers’ questions to match search intent effectively
  • Use clear headings, improve readability, include inclusive language, and add relevant media to engage readers
  • Write compelling meta titles and descriptions, link to existing content, and focus on building authority to enhance visibility

What does an SEO-friendly blog post mean in the AI era?

The way people search for information has changed, and with it, the meaning of an SEO-friendly blog post. Before the rise of generative AI, writing an SEO-friendly blog post mostly meant this:

‘Writing content with the intention of ranking highly in search engine results pages (SERPs). The content is optimized for specific target keywords, easy to read, and provides value to the reader.’

That definition is not wrong. But it is no longer complete.

In the AI era, an SEO-friendly blog post is written with search intent first, answering a user’s question clearly and efficiently. It is not just about placing keywords in the right spots. It is about creating an information-dense piece with accurate, well-structured, and quotable sentences that AI systems can confidently extract and surface as direct answers.

The new definition clearly shows that strong SEO foundations still matter, and they matter more than ever. What has changed is how content is evaluated and discovered. Search engines and AI models now look beyond clicks and rankings to understand whether your content is trustworthy, helpful, and easy to interpret.

Here are some key factors that play a key role in determining whether a blog post is truly SEO-friendly:

  • Trustworthiness (E-E-A-T): Demonstrating real-world experience, expertise, and credibility helps your content stand out from low-value AI-generated rehashes
  • Machine-readability: Clear structure, clean HTML, and technical signals such as schema markup help search engines and AI systems understand what your content is about
  • Answer-first structure: Placing concise, direct answers at the beginning of sections makes it easier for AI models to extract and reference your content
  • Topical authority: Publishing interconnected, in-depth content around a subject is far more effective than creating isolated blog posts

9 tips to write SEO-friendly blogs for LLM and SERP visibility

Now we get to the core of this guide. Below are some foundational tips to help you plan and write SEO-friendly blog posts that are genuinely helpful, easy to understand, and focused on solving real reader problems. When done right, these practices not only improve search visibility but also shape how your brand is perceived by both users and AI systems.

1. Conduct thorough keyword research

Before you start writing a single word, start with solid keyword research. This step helps you understand how people search for a topic, which terms carry demand, and how competitive those searches are. It also ensures your content aligns with real user intent instead of assumptions.

You can use tools like Google Keyword Planner, Ahrefs, or Semrush for this. Personally, I prefer using Semrush’s Keyword Magic Tool because it quickly surfaces thousands of relevant keyword ideas around a single topic.

keyword magic tool by semrush for keyword researcg
Keyword Magic Tool by Semrush for the relevant keyword list

Here’s how I usually approach it. I enter a broad keyword related to my topic, for example, ‘SEO.’ The tool then returns an extensive list of related keywords along with important metrics. I mainly focus on three of them:

  • Search intent, to understand what the user is really looking for
  • Keyword Difficulty (KD%), to estimate how hard it is to rank
  • Search volume, to gauge demand

This combination helps me choose keywords that are realistic to rank for and meaningful for readers.

If you use Yoast SEO, this process becomes even easier. Semrush is integrated into Yoast SEO (both free and Premium), giving you keyword suggestions directly in Yoast SEO. With a single click, you can access relevant keyword data while writing, making it easier to create focused, useful content from the start.

Looking for keyphrase suggestions? When you’ve set a focus keyword in Yoast SEO, you can click on ‘Get related keyphrases’ and our Semrush integration will help you find high-performing keyphrases!

Also read: How to use the Semrush related keyphrases feature in Yoast SEO for WordPress

2. Finding readers’ questions

Keyword research tells you what people search for. Questions tell you why they search.

When you actively look for the questions your audience is asking, you move closer to matching search intent. This is especially important in the AI era, where search engines and AI models prioritize clear, answer-driven content.

For example, consider these two queries:

What are the key features of good running shoes?

This shows informational intent. The searcher wants to understand what makes a running shoe good.

What are the best running shoes?

This suggests a transactional or commercial intent. The searcher is likely comparing options before making a purchase.

Both questions are valid, but they require very different content approaches.

There are two simple ways I usually find relevant questions. The first is by checking the People also ask section in Google search results. By typing in a broad keyphrase, you can see related questions that Google itself considers relevant.

people also ask section on google serps
The People also ask section showing questions related to the broad keyphrase ‘SEO’

The second method is to use the Questions filter in Semrush’s Keyword Magic Tool. This helps uncover question-based queries directly tied to your main topic.

Apart from these methods, I also like using Google’s AI Overview and AI mode as a quick research layer. When I search for my main topic, I pay close attention to AI-cited sources, as they often surface broad questions people are actively seeking. The structured points and highlighted terms usually reflect the answers and subtopics that matter most to users. If I want to go deeper, I click “Show more,” which reveals additional angles and follow-up questions I might not have considered initially.

google ai overview citing resources
AI cited sources by Google AI Overview

Finding and answering these questions helps you do lightweight online audience research and create content that feels genuinely helpful. It also increases the chances of your blog post being referenced in AI-generated answers, since LLMs are designed to surface clear responses to specific questions.

3. Structure your content with headings and subheadings

In our 2026 SEO predictions, we highlighted that editorial quality is no longer just about good writing. It has become a machine-readability requirement. Content that is clearly structured is easier to understand, reuse, and surface across both search and AI-driven experiences.

How LLMs use headings

AI models rely on headings to identify topics, questions, and answers within a page. When your content is broken into clear sections, it becomes easier for them to extract key information and include it in AI-generated summaries.

Why headings still matter for SEO

Headings help search engines understand the hierarchy of your content and the main points you are trying to rank for. They also improve scannability and usability, especially on mobile devices, and increase the chances of earning featured snippets.

Good structure has always been a core SEO principle. In the AI era, it remains one of the simplest and most effective ways to improve visibility and discoverability.

4. Focus on readability aspects

An SEO-friendly blog post should be easy to read before it can rank or get picked up by AI systems. Readability helps readers stay engaged and helps search engines and AI models better understand your content.

A few key readability aspects to focus on while writing:

  • Avoid passive voice where possible
    Active sentences are clearer and more direct. They make it easier for readers to understand who is doing what, and they reduce ambiguity for AI systems processing your content.
  • Use transition words
    Transition words like “because,” “for example,” and “however” guide readers through your content. They improve flow and make it easier to follow relationships between sentences and paragraphs.
  • Keep sentences and paragraphs short
    Long, complex sentences reduce clarity. Breaking content into shorter sentences and paragraphs improves scannability and comprehension.
  • Avoid consecutive sentences starting in the same way
    Varying sentence structure keeps your writing engaging and prevents it from sounding repetitive or robotic.
The readability analysis in the Yoast SEO for WordPress metabox
The readability analysis in the Yoast SEO for WordPress metabox

If you are a WordPress or Shopify user, Yoast SEO (and Yoast SEO for Shopify for Shopify users) can help here. Its readability analysis checks for passive voice, transition words, sentence length, and other clarity signals while you write. If you prefer drafting in Google Docs, you can use the Yoast SEO Google Docs add-on to get the same readability feedback before publishing.

Use Yoast SEO in Google Docs

Optimize as you draft for SEO, inclusivity, and readability. The Yoast SEO Google Docs add-on lets you export content ready for WordPress, no reformatting required.

Get Yoast for Google Docs add-onOnly $5 / month (ex VAT)

 

Good readability is not just about pleasing algorithms. It helps readers understand your message more quickly and makes your content easier to reuse in AI-generated responses.

5. Use inclusive language

Inclusive language helps ensure your content is respectful, clear, and welcoming to a broader audience. It avoids assumptions about gender, ability, age, or background, and focuses on people-first communication.

From an SEO and AI perspective, inclusive language also improves clarity. Content that avoids vague or biased terms is easier to interpret, digest, and trust. This directly supports brand perception, especially when your content is surfaced in AI-generated responses.

Yoast SEO supports this through its inclusive language check, which flags potentially non-inclusive terms and suggests better alternatives. This feature is available in Yoast SEO, Yoast SEO Premium, and in the Yoast SEO Google Docs add-on, making it easier to build inclusive habits directly into your writing workflow.

Inclusive language ensures your content is intentional, thoughtful, and clear, aligning closely with what modern SEO and AI systems value.

6. Add relevant media and interaction points

A well-written blog post should not feel like a long block of text. Adding the right media and interaction points helps guide readers through your content, keeps them engaged, and encourages them to take action.

Why media matters

Media elements such as images, videos, embeds, and infographics make your content easier to consume and more engaging. Blog posts that include images receive 94% more views than those without, simply because visuals break up large blocks of text and make pages easier to scan.

Video content plays an even bigger role. Embedded videos help explain complex ideas faster and can significantly improve organic visibility compared to text-only posts. Together, these elements encourage readers to stay longer on your page, which is a strong signal of content quality for search engines and AI systems alike.

Media also improves accessibility. Properly optimized images with descriptive alt text make content usable for screen readers, while original visuals, screenshots, or diagrams help reinforce credibility and expertise.

Use interaction points to guide and engage readers

Interaction does not always mean complex features. Even simple elements can significantly improve engagement when used well.

Table of contents and sidebar CTA used as interaction points in a Yoast blog post

A table of contents, for example, allows readers to jump directly to the section they care about most.

Other interaction points include clear calls to action (CTAs) that guide readers to the next step, relevant recommendations that encourage users to keep exploring your site, and social sharing buttons that make it easy to amplify your content. Interactive elements like polls, quizzes, or embedded tools further encourage participation and increase time on page.

7. Plan your content length

Content length still matters, but not in the way many people think it does.

A common question is what the ideal word count is for a blog post that performs well. A 2024 study by Backlinko found that while longer content tends to attract more backlinks, the average page ranking on Google’s first page contains around 1,500 words.

That said, this should not be treated as a fixed benchmark. The ideal length is the one that fully answers the user’s question. In an AI-driven era, publishing long content that adds little value or is padded with unnecessary fluff can do more harm than good.

If a topic genuinely requires a longer format, breaking the content into clear subheadings makes a big difference. I personally prefer structuring long articles this way because it improves readability, helps readers navigate the page more easily, and makes the content easier for search engines and AI systems to understand.

Must read: How to use headings on your site

If you use Yoast SEO or Yoast SEO Premium, the paragraph and sentence length checks can help here. These checks exist to prevent pages from being too thin to provide real value. Pages with very low word counts often lack context and struggle to demonstrate relevance or expertise. Yoast SEO flags such cases as a warning, while clearly indicating that adding more words alone does not guarantee better rankings.

Think of word count as a guideline, not a goal. Your focus should always be on clarity, completeness, and usefulness.

8. Link to existing content

Internal linking is one of the most underrated SEO practices, yet it does a lot of heavy lifting behind the scenes.

By linking to relevant content within your site, you help readers discover additional resources and help search engines understand how your content is connected. Over time, this strengthens topical authority and signals that your site consistently covers a subject in depth.

Good internal linking follows a few simple principles:

  • Link only when it adds value and feels natural in context
  • Use clear, descriptive anchor text so users and search engines know what to expect
  • Avoid linking to outdated URLs or pages that redirect, as this wastes crawl signals

Internal links also keep readers engaged longer by guiding them to related articles. This improves overall site engagement while reinforcing your expertise on a topic.

From an AI and search perspective, internal linking plays an even bigger role. Modern search systems analyze content structure, metadata hierarchies, schema markup, and internal links to assess topical depth and clarity. Well-linked content clusters make it easier for search engines and AI systems to understand what your site is about and which pages are most important.

For WordPress users, Yoast SEO Premium offers internal linking suggestions directly in the editor. This makes it easier to spot relevant linking opportunities as you write, helping you build stronger content connections without interrupting your workflow.

A smarter analysis in Yoast SEO Premium

Yoast SEO Premium has a smart content analysis that helps you take your content to the next level!

Get Yoast SEO Premium Only $118.80 / year (ex VAT)

9. Write compelling meta titles and descriptions

Meta titles and meta descriptions help users decide whether to click on your content. While meta descriptions are not a direct ranking factor, they strongly influence click-through rates, making them an essential part of writing SEO-friendly blog posts.

A good meta title clearly communicates what the page is about. Place your main keyword near the beginning, keep it concise, and aim for roughly 55-60 characters so it doesn’t get truncated in search results.

Meta descriptions act like a short invitation. They should explain what the reader will gain from clicking and why it matters. Instead of stuffing keywords, focus on clarity and usefulness. Mention what aspects of the topic your content covers and how it helps the reader. Simple language works best.

Pro tip: Using action-oriented verbs such as “learn,” “discover,” or “read” can also encourage clicks and make your description more engaging.

If you use Yoast SEO Premium, this process becomes much easier. The AI-powered meta title and description generation feature helps you create relevant, well-structured metadata in just one click. It follows SEO best practices while producing descriptions and titles that are clear, engaging, and aligned with search intent.

Bonus tips

Once you have the fundamentals in place, a few extra refinements can go a long way. The following bonus tips help improve usability, clarity, and long-term discoverability. They are not mandatory, but when applied thoughtfully, they can make your blog posts more helpful for readers and easier to surface across search engines and AI-driven experiences.

1. Add a table of contents

A table of contents (TOC) helps readers quickly understand what your blog post covers and jump straight to the section they care about. This is especially useful for long-form content, where users often scan rather than scroll from top to bottom.

From an SEO perspective, a TOC improves structure and readability and can create jump links in search results, which may increase click-through rates. It reduces bounce rates by helping users find answers faster and improves accessibility by offering clear navigation.

By the way, did you know Yoast can help you here too? Yes, the Yoast SEO Internal linking blocks feature lets you add a TOC block to your blog post that automatically includes all the headings with just one click!

2. Add key takeaways

Key takeaways help readers quickly grasp the main points of your blog post without having to read the whole post. This is especially helpful for time-constrained users who want quick, actionable insights.

Summaries also support SEO by reinforcing topic relevance and improving content comprehension for search engines and AI systems. Well-written takeaways might increase visibility in featured snippets and “People also ask” results.

If you use Yoast SEO Premium, the Yoast AI Summarize feature can generate key takeaways for your content in just one click, making it easier to add concise summaries without extra effort.

3. Add an FAQ section

An FAQ section gives you space to answer specific questions your readers may still have after reading your post. This improves user experience by addressing concerns directly and building trust.

FAQs also help search engines better understand your content by clearly outlining common questions and answers related to your topic. While they can support rankings, their real value lies in reducing friction, improving clarity, and even supporting conversions by clearing doubts.

4. Short permalinks

A permalink is the permanent URL of your blog post. Short, descriptive permalinks are easier to read, easier to share, and more likely to be clicked.

Good permalinks clearly describe what the page is about, avoid unnecessary words, and include the main topic where relevant. They improve usability and help search engines understand page context at a glance.

5. Focus on building authority (EEAT aspect)

Building authority is critical, especially for sites that cover sensitive or high-impact topics. Demonstrating Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) helps both users and search engines trust your content.

This includes citing reliable sources, showing real-world experience, maintaining consistent quality, and clearly communicating who is behind the content. Strong E-E-A-T signals are especially important for YMYL topics, where accuracy and credibility matter most.

6. Plan content distribution

Writing a great blog post is only half the work. Distribution helps your content reach the right audience.

Sharing posts on social media, repurposing key insights into newsletters, and earning backlinks from relevant sites can drive more traffic and visibility. Distribution also increases engagement signals and helps your content gain traction faster, which supports long-term SEO performance.

Target your readers always!

In AI-driven search, retrieval beats ranking. Clarity, structure, and language alignment now decide if your content gets seen. – Carolyn Shelby

This perfectly sums up what writing SEO-friendly blog posts looks like today. Success is no longer just about rankings. It is about being clear, helpful, and easy to understand for both readers and AI systems.

Throughout this guide, we focused on the fundamentals that still matter: understanding search intent, structuring content well, improving readability, using inclusive language, and supporting your writing with media, internal links, and thoughtful metadata. These are not new tricks. They are strong SEO foundations, adapted for how search and discovery work in the AI era.

If there is one takeaway, it is this: always write for your readers first. When your content genuinely helps people, answers their questions, and respects how they search and read, it naturally becomes easier to surface across SERPs and AI-driven experiences.

Good SEO has not changed. It has simply become more human.

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What is NLWeb (Natural Language Web)?

Natural language is quickly becoming the default way people interact with online tools. Instead of typing a few keywords, users now ask full questions, give detailed instructions, and are starting to expect clear, conversational answers. So, how can you make sure your content provides the answer to their question? Or better yet, how can you make it possible for them to interact with your website in a similar way? That’s where Microsoft’s NLWeb comes in. 

Meet NLWeb, Microsoft’s new open project

NLWeb, short for Natural Language Web, is an open project recently launched by Microsoft. The aim of this project is to bring conversational interfaces directly to websites, rather than users having to use an external chatbot that’s in control of what’s shown. Instead of relying on traditional navigation or search bars, NLWeb is designed to allow users to ask questions and explore content in a more personal, conversational way. 

At its core, NLWeb connects website content to AI-powered tools. It enables AI to understand what a website is about, what information it contains, and how that information should be interpreted for the purpose of returning personalized results. With this project, Microsoft is moving toward a more interoperable, standards-based, and open web that allows everyone to prepare their website for the future of search.  

This project was initiated and realized by R.V. Guha, CVP and Technical Fellow at Microsoft. Guha is one of the creators of widely used web standards such as RSS and Schema.org.  

How NLWeb works

NLWeb works by combining structured data, standardized APIs and AI models capable of understanding natural language. Every NLWeb instance acts as a Model Context Protocol (MCP) server, which makes your content discoverable for all the agents operating in the MCP ecosystem. This makes it easy for these agents to find your website.  

Using structured data, website owners then present their content in a machine-readable way. AI applications can then consume this data and answer user questions accurately by matching them to the most relevant information. The result is a conversational experience powered by existing content, either directly on a website or through using an online search tool. A conversational interface for both human users and AI agents collecting information. 

An important thing to note is that NLWeb is an open project. It’s not a closed ecosystem, meaning that Microsoft wants to make it accessible to everyone. The idea is to make it easy for any website owner to create an intelligent, natural language experience for their site, while also preparing their content to interact with and be discovered by other online agents, such as AI tools and search engines.  

How does natural language work? 

Natural language simply refers to the way we speak and write. This means using full sentences that allow room for intent, context and nuance. More than keywords or short commands, natural language reflects how people think and what they are looking for exactly. 

To give you an example: a focus keyphrase might be running shoes trail. But using natural language, the request would look more like this: What are the best running shoes for trail running in wet conditions? 

Natural language in AI tools 

Modern AI tools are designed to understand this kind of input. The large language models behind these tools can analyze intent and context to generate responses that fulfill the given request. This is why conversational interfaces feel more intuitive than traditional search or forms. 

Tools like AI chat assistants, voice search, and even traditional search engines rely heavily on natural language understanding and users have quickly adapted to it. 

The current state of search 

The way people find information online is changing fast. A change that is heavily influenced by the use of AI-powered tools. We now expect personalized answers instead of a list of results to sort through ourselves. AI chatbots also give us the option to follow up on our original search query, which turns search into a conversation instead of a series of clicks. 

Research from McKinsey & Company shows that AI adoption and natural language interfaces are becoming mainstream, with 50% of consumers already using AI-driven tools for information discovery. The majority even say it’s the top digital source they use to make buying decisions. As these habits continue to grow, websites that aren’t optimized for natural language risk becoming invisible in AI-generated answers. 

Why this is interesting for you 

The shift to natural language isn’t just a technical trend. As discussed above, it directly impacts your online visibility and competitive position. 

If users ask an AI system for information, only a handful of sources will be referenced in the response. This is because, like search engines, AI platforms also need to be able to read the information on your website. Being one of those sources can be the difference between being discovered or being overlooked. 

NLWeb collaborates with Yoast 

With NLWeb, you are communicating your website’s content clearly and in a standardized way. That means your brand, products, or expertise can appear in AI-powered answers instead of your competitors. To help as many website owners as possible benefit from this shift, Yoast is collaborating with NLWeb.   

The best part? If you’re a user of any of our Yoast plans designed for WordPress, you’re well ahead here. Yoast’s integration with NLWeb will roll out in phases, starting with functionality that helps our users using WordPress express their content in ways AI systems can interpret accurately, without any additional setup required. So sit tight and let us help you prepare your website for the new world of search! 

NLWeb aims to make your content understandable not just for people, but for the AI systems that are increasingly relevant to your website’s discovery. 

Read more: Yoast collaborates with Microsoft to help AI understand Open Web »

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Recap: The January 2026 SEO Update by Yoast

The January 2026 SEO Update by Yoast is part of our monthly webinar series covering the latest developments in search and AI. In each session, we review the most important news from the past month and explore what it means for your search strategy. Hosted by Carolyn Shelby and Alex Moss, this month’s update looks at key industry shifts and practical takeaways for staying competitive. Below is a recap of the topics discussed and what they mean for your strategy.

Here’s the recap video on YouTube

Watch the full recap on YouTube to hear Carolyn and Alex dive deeper into these topics, answer audience questions, and provide additional examples of how these changes could affect your work.

SEO and AI news from January 2026

SEO is shifting from rankings to selection

Microsoft’s recent guide on AEO (Agentic Engine Optimization) and GEO (Generative Engine Optimization) highlights a major change: the goal isn’t just to rank, but to be chosen by AI and users. Tools like Gemini and ChatGPT don’t just match keywords; they evaluate brand authority, structured data, and real-world mentions. If your content isn’t clear, well-organized, or trustworthy, AI may overlook it, even if it performs well in traditional search. To stay competitive, focus on structured data, fast-loading pages, and strong brand signals.

Agentic commerce is on the rise

Google’s Universal Commerce Protocol (UCP) is an open-source framework designed to help AI handle purchases. This means AI won’t just recommend products, but could also buy them for users. For businesses, optimizing for AI “selection” is now as important as ranking. If you sell products, prioritize product schema, fast load times, and a strong brand presence to ensure AI picks you.

Google’s core updates continue to reshape publishing

The December 2025 core update hit news publishers hard, particularly those relying on prediction-based content (like “2026 Oscar predictions”). Google is favoring original, authoritative reporting over speculative or AI-generated content. If you’re in publishing, EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) remains critical.

YouTube is a growing force in AI search

Gemini is now pulling YouTube videos into its responses, even for non-video queries. If you’re not repurposing content for YouTube, you’re missing an opportunity. Optimize video titles, descriptions, and transcripts so AI can find and cite your work.

New tools are changing how we work

Anthropic’s Claude CoWork can organize files and automate tasks, while open-source tools like Moltbot (formerly Clawdbot) let you run AI agents locally. These tools aren’t just novelties, but signs of how quickly AI is integrating into workflows. For SEO, staying adaptable and testing new tools will be key.

Yoast is helping AI work for everyone

Yoast is building on Microsoft’s NLWeb framework to help AI systems better understand web content. The goal is to ensure small publishers and businesses aren’t left behind as AI-driven discovery grows. If you’re using WordPress, Yoast SEO’s existing tools—like schema markup and readability checks—already support this effort. We’ve also added Gemini and Perplexity to our AI Brand Insights tool, so you can track how AI models perceive your brand.

What to focus on in 2026

  • Structure your content so AI can parse it easily (schema markup helps)
  • Build brand authority across channels—social media, PR, email, and YouTube all send signals AI notices
  • Understand agentic commerce if you sell products. Fast, well-structured pages will help AI “select” you
  • Avoid AI-generated slop. AI can help draft content, but human insight and expertise are irreplaceable

Sign up for the next SEO Update by Yoast

The next SEO Update by Yoast is on February 24, 2026, at 4 PM CET (10 AM EST). Sign up to join the live discussion or get the recording. Don’t miss it!

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New to Yoast SEO for Shopify: Enhanced pricing visibility in product schema 

We are excited to announce an update to our Offer schema within Yoast SEO for Shopify. This update introduces a more robust way to communicate pricing to search engines, specifically introducing sale price strikethroughs

What’s new? 

Previously, communicating a “sale” was often limited to showing a single price. With this update, we’ve refined how our schema handles the Offer object. You can now clearly define: 

  • The original price: The “base” price before any discounts. 
  • The sale price: The current active price the customer pays. 

Why this matters 

When search engines understand the relationship between your original and sale prices, they can better represent your deals in search results. This update is designed to help trigger those eye-catching strikethrough price treatments in Google Shopping and organic snippets, improving your click-through rate by visually highlighting the value you’re offering. 

organic search results for cable knit hat, demonstrating how the strikethrough features look from the searcher perspective
Organic search results for ‘cable knit hat’ showing how the structured data appears on Google.

How to use it 

The schema automatically bridges the gap between your product data and the structured data output. Simply ensure your product’s “Regular Price” and “Sale Price” are populated, and our updated schema handles the rest. For more information about the structured data included with all our products, check out our structured data feature page.

Get started

If you are a Yoast SEO for Shopify customer, you can access your product schema by opening a product in the Yoast product editor in your Shopify store. If you are not a customer and want to learn more, you can start a 14 day free trial of Yoast SEO for Shopify from the Shopify App Store.

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What is the open web?

The open web is the part of the internet built on open standards that anyone can use. This concept creates a democratic digital space where people can build on each other’s work without restrictions, just like how WordPress.org is built. For website owners, understanding and leveraging the open web is increasingly crucial. Especially with the rise of AI-powered systems and the general direction that online search is taking. So, let’s explore what the open web is and what it means for your website.

What is the open web?

The open web refers to the part of the internet built on open, shared standards that are available to everyone. It’s powered by technologies like HTTP, HTML, RSS, and Schema.org, which make it easy for websites and online systems to interact with each other. But it is more than just technical protocols. It also includes open‑source code, public APIs, and the free flow of data and content across sites, services, and devices. Creating a democratic digital space where people can build on each other’s work without heavy restrictions.

Because these standards are not owned or patented, the open web remains largely decentralized. This allows content to be accessed, understood, and reused across devices and platforms. This not only encourages innovation but also ensures that information is discoverable without being locked behind proprietary ecosystems.

The benefits of an open web

The open web is built on publicly available protocols that enable access, collaboration, and innovation at a global scale. 

The most important benefits include:

  • Collaboration and innovation: Open protocols enable developers to build on each other’s work without proprietary restrictions.
  • Accessibility: Users and AI agents alike can access and interact with web content regardless of device, platform, or underlying technology.
  • Democratization: No single company controls access to information, giving publishers greater autonomy.
  • Inclusion: The open web creates a more level playing field, where everyone gets a chance to participate in the digital economy.

The open web vs the deep web

To give you a better idea of what the open web is, it helps to know about the “deep web” and closed or “walled garden” platforms. The deep web covers content not indexed by search engines, while closed systems or walled gardens restrict access and keep data siloed.

On the open web, anyone can access information freely. A good example of that is Wikipedia. Accessible to anyone looking for information on a topic and anyone who wants to contribute to its content. Closed-off platforms, like proprietary apps or social media ecosystems, create places where content is only available if you pay or use a specific service. Well-known examples of this are social media platforms such as Facebook and Instagram. Another example is a news website that requires a paid subscription to get access.

In essence, the open web keeps information discoverable, accessible, and interoperable – instead of locked inside a handful of platforms.

AI and the open web

The popularity of AI-powered search makes open web principles more important than ever. Decentralized and accessible information allows AI tools to interact with content directly and use it freely to generate an answer for a user. 

“We believe the future of AI is grounded in the open web.” 

Ramanathan Guha, CVP and Technical Fellow at Microsoft. 

Microsoft’s open project NLWeb is a prime example. It provides a standardized layer that enables AI agents to discover, understand, and interact with websites efficiently, without needing separate integrations for every platform. 

What this means for website owners

For website owners, including small business owners, embracing the open web means making your content freely available in ways that AI can interpret. By using structured data standards like Schema.org, your website becomes discoverable to AI tools. Increasing your reach and ensuring that your content remains part of the future of search. 

Yoast and Microsoft: collaborating towards a more open web

Yoast is proud to collaborate with NLWeb, a Microsoft project that makes your content easier to understand for AI agents without extra effort from website owners. Allowing your content to remain discoverable, reach a wider audience with and show up in AI-powered search results.  

The open web strives towards an accessible web where content is available for everyone. A web where it doesn’t matter how big your website or marketing budget is. Giving everyone the chance to be found and represented in AI-powered search. NLWeb helps turn this vision into reality by connecting today’s open web with tomorrow’s AI-driven search ecosystem 

Read on: Yoast collaborates with Microsoft to help AI understand Open Web »

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Why does having insights across multiple LLMs matter for brand visibility?

Search today looks very different from what it did even a few years ago. Users are no longer browsing through SERPs to make up their own minds; instead, they are asking AI tools for conclusions, summaries, and recommendations. This shift changes how visibility is earned, how trust is formed, and how brands are evaluated during discovery. In AI-driven search, large language models interpret information, decide what matters, and present a narrative on behalf of the user.

Key takeaways

  • Search has evolved; users now rely on AI for conclusions instead of traditional SERPs
  • Conversational AI serves as a new discovery layer, users expect quick answers and insights
  • Brands must navigate varied interpretations of their presence across different LLMs
  • Yoast AI Brand Insights helps track brand mentions and identify gaps in AI visibility across models
  • Understanding LLM brand visibility is crucial for modern brand strategy and perception

The rise of conversational AI as a discovery layer

“Assistant engines and wider LLMs are the new gatekeepers between our content and the person discovering that content – our potential new audience.” — Alex Moss

Search is no longer confined to typing queries into a search engine and scanning a list of links. Today’s discovery journey frequently begins with a conversation, whether that’s a typed question in a chatbot, a voice prompt to an AI assistant, or an embedded AI feature inside a platform people use every day.

This shift has made conversational AI a new layer of discovery, where users expect direct answers, recommendations, and curated insights that help them make decisions and build brand perception more quickly and confidently.

Discovery is happening everywhere

Users are now encountering AI-powered discovery across a range of interfaces:

AI chat interfaces

Tools like ChatGPT allow users to ask open-ended questions and follow up in a conversational manner. These interfaces interpret intent and tailor responses in a way that feels natural, making them a go-to for exploratory search.

Also read: What is search intent and why is it important for SEO?

Answer engines

Platforms such as Perplexity synthesize information from multiple sources and often cite them. They act as research helpers, offering concise summaries or explanations to complex queries.

Embedded AI experiences

AI is increasingly built directly into search and discovery environments that people already use. Examples include AI-assisted summaries within search results, such as Google’s AI Overviews, as well as AI features embedded in browsers, operating systems, and apps. In these moments, users may not even think of themselves as “using AI,” yet AI is already influencing what information is surfaced first and how it is interpreted.

This broad distribution of AI discovery surfaces means users now expect accessibility of information regardless of where they are, whether in a chat, an app, or embedded in the places they work, shop, and explore online.

How people are using AI in their day-to-day discovery

Users interact with conversational AI for a wide range of purposes beyond traditional search. These models increasingly guide decisions, comparisons, and exploration, often earlier in the journey than classic search engines.

Here are some prominent ways people use LLMs today:

Product comparisons

ChatGPT gives a detailed brand comparison

Rather than visiting multiple sites and aggregating reviews, there are 54% users who ask AI to compare products or services directly, for example, “How does Brand A compare to Brand B?” and “What are the pros and cons of X vs Y?” AI synthesizes information into a concise summary that often feels more efficient than browsing search results.

“Best tools for…” queries

Result by ChatGPT for “best crm software for smbs.”

Did you know 47% of consumers have used AI to help make a purchase decision?

AI users frequently ask for ranked suggestions or curated lists such as “best SEO tools for small businesses” or “top content optimization software.” These queries serve as discovery moments, where brands can be suggested alongside context and reasoning.

Trust and validation checks

Many users prompt AI models to validate decisions or confirm perceptions, for example, “Is Brand X reputable?” or “What do people say about Service Y?” AI responses blend sentiment, context, and summarization into one narrative, affecting how trust is formed.

Also read: Why is summarizing essential for modern content?

Idea generation and research exploration

In a study by Yext, it was found that 42% users employ AI for early-stage exploration, such as brainstorming topics, gathering potential search intents, or understanding broad categories before narrowing down specifics. AI user archetypes range from creators who use AI for ideation to explorers seeking deeper discovery.

Local discovery and service search

local search results on chatgpt
ChatGPT recommendations for “best cheesecake places in Lucknow, India.”

AI is also used for local searches. For example, many users turn to AI tools to research local products or services, such as finding nearby businesses, comparing local options, or understanding community reputations. In a recent AI usage study by Yext, 68% of consumers reported using tools like ChatGPT to research local products or services, even as trust in AI for local information remains lower than traditional search.

In each of these moments, conversational AI doesn’t just surface brands; it frames them by summarizing strengths, weaknesses, use cases, and comparisons in a single response. These narratives become part of how users interpret relevance, trust, and fit far earlier in the decision-making process than in traditional search.

Not all LLMs interpret brands the same way

As conversational AI becomes a discovery layer, one assumption often sneaks in quietly: if your brand shows up well in one AI model, it must be showing up everywhere. In reality, that’s rarely the case. Large language models interpret, retrieve, and present brand information differently, which means relying on a single AI platform can give a very incomplete picture of your brand’s visibility.

To understand why, it helps to look at how some of the most widely used models approach answers and brand mentions.

How ChatGPT interprets brands

ChatGPT is often used as a general-purpose assistant. People turn to it for explanations, comparisons, brainstorming, and decision support. When it mentions brands, it tends to focus on contextual understanding rather than explicit sourcing. Brand mentions are frequently woven into explanations, recommendations, or summaries, sometimes without clear attribution.

From a visibility perspective, this means brands may appear:

  • As examples in broader explanations
  • As recommendations in “best tools” or comparison-style prompts
  • As part of a narrative rather than a cited source

The challenge is that brand mentions can feel correct and authoritative, while still being outdated, incomplete, or inconsistent, depending on how the prompt is phrased.

How Gemini interprets brands

Gemini is deeply connected to Google’s ecosystem, which influences how it understands and surfaces brand information. It leans more heavily on entities, structured data, and authoritative sources, and its outputs often reflect signals familiar to traditional SEO teams.

For brands, this means:

  • Visibility is closely tied to how well the brand is understood as an entity
  • Clear, consistent information across the web plays a bigger role
  • Mentions often align more closely with established sources

Gemini can feel more predictable in some cases, but that predictability depends on strong foundational signals and accurate brand representation across trusted platforms.

How Perplexity interprets brands

Perplexity positions itself as an answer engine rather than a general assistant. It emphasizes citations and source-backed responses, which makes it popular for research and comparison queries. When brands appear in Perplexity answers, they are often tied directly to cited articles, reviews, or documentation.

This creates a different visibility dynamic:

  • Brands may be surfaced only if they are referenced in cited sources
  • Freshness and topical relevance matter more
  • Competitors with stronger editorial or PR coverage may appear more often

Here, brand presence is tightly coupled with external content and how frequently that content is used as a reference.

How these models differ at a glance

AI Model How brands are surfaced What influences the visibility
ChatGPT Contextual mentions within explanations and recommendations Prompt phrasing, training data, general relevance
Gemini Entity-driven, aligned with authoritative sources Structured data, brand consistency, trusted signals
Perplexity Citation-based mentions tied to sources Content coverage, freshness, external references

Why brands need insights across multiple LLMs?

Once you see how differently large language models interpret brands, one thing becomes clear: looking at just one AI model gives you an incomplete picture. AI-driven discovery does not produce a single, consistent version of your brand. It produces multiple interpretations, shaped by the model, its data sources, and users’ interactions with it.

Must read: When AI gets your brand wrong: Real examples and how to fix it

Therefore, tracking across your brand across multiple LLM models is essential because:

Brand visibility is fragmented by default

Across different LLMs, the same brand can show up in very different ways:

  • Correctly represented in one model, where information is accurate and well-contextualized
  • Completely missing in another, even for relevant queries
  • Partially outdated or misrepresented in a third, depending on the sources being used

This fragmentation happens because each model processes and prioritizes information differently. Without visibility across models, it’s easy to assume your brand is ‘covered’ when, in reality, it may only be visible in one corner of the AI ecosystem.

Different audiences use different AI tools

AI usage is not concentrated in a single platform. People choose tools based on intent:

  • Some use conversational assistants for exploration and ideation
  • Others rely on citation-led answer engines for research
  • Many encounter AI passively through search or embedded experiences

If your brand appears in only one environment, you are effectively visible only to a subset of your audience. This mirrors challenges SEO teams already recognize from traditional search, where performance varies by device, location, and search feature. The difference is that with AI, these variations are less obvious and more challenging to track without dedicated insights.

Blind spots create real business risks

Limited visibility across LLMs doesn’t just affect awareness; it also impairs learning. Over time, it can lead to:

  • Inconsistent brand narratives, where AI tools describe your brand differently depending on where users ask
  • Missed demand, especially for comparison or “best tools for” queries
  • Competitors are being recommended instead, simply because they are more visible or better understood by a specific model

These outcomes are rarely intentional, but they can quietly influence brand perception and decision-making long before users reach your website.

So all these points point to one thing: a broader, multi-model view helps build a more complete understanding of brand visibility.

The challenge: LLM visibility is hard to measure

As brands start paying attention to how they appear in AI-generated content, a new problem becomes obvious: LLM visibility doesn’t behave like traditional search visibility. The signals are fragmented, opaque, and constantly changing, which makes tracking and understanding brand presence across AI models far more complex than tracking rankings or traffic.

Below are some key challenges brand marketers might face when trying to understand how their brand appears to large language models.

1. Lack of visibility across AI platforms

Different LLMs, such as ChatGPT, Gemini, and Perplexity, rely on various data sources, retrieval methods, and citation logic. As a result, the same brand may be mentioned prominently in one model, inconsistently in another, or not at all elsewhere.

Without a unified view, it’s difficult to answer basic questions like where your brand shows up, which AI tools mention it, and where the gaps are. This fragmentation makes it easy to overestimate visibility based on a single platform.

2. No clear insight into how AI describes your brand

AI models often mention brands as part of explanations, comparisons, or recommendations, but traditional analytics tools don’t capture how those brands are described. Teams lack visibility into tone, context, sentiment, or whether mentions are positive, neutral, or misleading.

This makes it hard to understand whether AI is reinforcing your intended brand positioning or subtly reshaping it in ways you can’t see.

3. No structured way to measure change over time

AI-generated answers are inherently dynamic. Small changes in prompts, updates to models, or shifts in underlying data can all influence how brands appear. Without consistent, longitudinal tracking, it’s nearly impossible to tell whether visibility is improving, declining, or simply fluctuating.

One-off checks may offer snapshots, but they don’t reveal trends or patterns that matter for long-term strategy.

4. Limited ability to benchmark against competitors

Seeing your brand mentioned in AI answers is a start, but it doesn’t tell you the whole story. The real question is what’s happening around it: which competitors appear more often, how they’re described, and who AI recommends when users are ready to decide.

Without comparative insights, teams struggle to understand whether AI visibility represents a competitive advantage or a missed opportunity.

5. Missing attribution and source clarity

Some AI models summarize or paraphrase information without clearly attributing sources. When brands are mentioned, it’s not always obvious which pages, articles, or properties influenced the response.

This lack of source visibility makes it difficult to connect AI mentions back to specific content efforts, PR coverage, or SEO work, leaving teams guessing what is actually driving brand representation.

6. Existing tools weren’t built for AI visibility

Traditional SEO and analytics platforms are designed around clicks, impressions, and rankings. They don’t capture AI-powered mentions, sentiment, or visibility trends because AI platforms don’t expose those signals in a structured way.

As a result, teams are left without reliable reporting for one of the fastest-growing discovery channels.

Together, these challenges point to a clear gap: brands need a new way to understand visibility that reflects how AI models surface and interpret information. This is where tools explicitly designed for AI-driven discovery, such as Yoast AI Brand Insights, come into play.

How does Yoast AI Brand Insights help?

It won’t be wrong to say that the AI-driven brand discovery can be fragmented and opaque; therefore, leading us to our next practical question: how do brand marketing teams actually make sense of it?

Traditional SEO tools weren’t built to answer that, which is where Yoast AI Brand Insights comes in. It’s designed to help users understand how brands appear in AI-generated answers and is available as part of Yoast SEO AI+.

Rather than focusing on rankings or clicks, Yoast AI Brand Insights focuses on visibility and interpretation across large language models.

Track brand mentions across multiple AI models

One of the biggest gaps in AI visibility is fragmentation. Brands may appear in one AI model but not in another, without any obvious signal to explain why. Yoast AI Brand Insights addresses this by tracking brand mentions across multiple AI platforms, including ChatGPT, Gemini, and Perplexity.

This gives teams a clearer view of where their brand appears, rather than relying on isolated checks or assumptions based on a single model.

Identify gaps, inconsistencies, and opportunities

AI-generated answers don’t just mention brands; they frame them. Yoast AI Brand Insights helps surface patterns in how a brand is described, making it easier to spot:

  • Where mentions are missing altogether
  • Where descriptions feel outdated or incomplete
  • Where competitors appear more frequently or more favorably

These insights turn AI visibility into something teams can actually act on, rather than a black box.

Shared insights for SEO, PR, and content teams

AI-driven discovery sits at the intersection of SEO, content, and brand communication. One of the strengths of Yoast AI Brand Insights is that it provides a shared view of AI visibility that multiple teams can use. SEO teams can connect AI mentions back to site signals, content teams can understand how messaging is interpreted, and PR or brand teams can see how external coverage influences AI narratives.

Instead of working in silos, teams get a common reference point for how the brand appears across AI-driven search experiences.

A natural extension of Yoast’s SEO philosophy

Yoast AI Brand Insights builds on principles Yoast has long emphasized: clarity, consistency, and understanding how search systems interpret content. As AI becomes part of how people discover brands, those same principles now apply beyond traditional search results and into AI-generated answers.

In that sense, Yoast AI Brand Insights isn’t about chasing AI trends. It’s about giving teams a more straightforward way to understand how their brand is represented, where discovery is increasingly happening.

From rankings to representation in AI-driven search

AI-driven discovery is no longer an edge case. It’s becoming a regular part of how people explore options, validate decisions, and form opinions about brands. As large language models continue to evolve, the question for brands is not whether they appear in AI-generated answers, but whether they understand how they appear, where they appear, and what story is being told on their behalf. Gaining visibility into that layer is quickly becoming a foundational part of modern brand and search strategy.

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Choosing the right WordPress SEO plugin for your business – Yoast vs Rank Math 

Selecting an SEO plugin for your WordPress site is one of the most important decisions you’ll make for your online presence. It’s not just about installing software; it’s about choosing a long-term partner that will grow with your business, adapt to changing search algorithms, and support you in the age of AI. While the market offers several options, understanding what truly matters is key. Two of the most popular plugins in the market today are Yoast and Rank Math. Therefore, factors such as reliability, innovation, ecosystem, and trust help you make a choice that will serve your business for years to come. 

This guide provides an in-depth comparison of the key differentiating factors between Yoast and Rank Math. We will understand why millions of websites worldwide have made Yoast their trusted comrade in the search business. 

Key takeaways

  • Choosing an SEO plugin like Yoast SEO impacts your online presence and future growth.
  • Yoast offers reliability with over 15 years of experience and millions of active installations, unlike newer competitors.
  • Innovations such as AI integration and a unified schema graph set Yoast apart from other plugins.
  • Yoast provides comprehensive support, education, and a multi-platform ecosystem tailored for long-term success.
  • Trust industry leaders like Microsoft and Spotify who use Yoast SEO to enhance their online visibility.

What really matters when choosing an SEO plugin

When evaluating WordPress SEO plugins, it’s easy to get distracted by feature lists and flashy interfaces. But experienced marketers, agencies, and business owners know that the best tools are defined by much more than what they promise on paper. 

The questions that matter most: 

  • Can you trust this plugin to work reliably as your business scales? 
  • Will the company behind it still be innovating five years from now? 
  • What happens when you need help before a critical deadline? 
  • Does the plugin anticipate future SEO trends, or just react to them? 
  • Is this a tool you install, or an ecosystem that supports your growth and development? 

These aren’t trivial questions. Your SEO plugin touches essential pages on your site, influences the content you publish, and directly impacts your ability to be found by potential customers.  
Choosing poorly can lead to migration headaches, compatibility issues, and lost rankings. Choosing wisely means peace of mind, ongoing innovation, and a solid foundation to build upon. 

Why legacy and proven trust matter in SEO plugins

Trust isn’t given. It’s earned. Yoast has defined the WordPress SEO landscape for over 15 years, with more than 13 million active installations and over 850 million downloads. This extensive legacy reflects a consistent track record of innovation, stability, and trust. Brands such as The Guardian, Microsoft, Spotify, and others rely on Yoast SEO as a foundation for their SEO strategies. This depth of experience is invaluable as SEO requires ongoing adaptation to algorithm changes and new technologies. 

While Rank Math is an ambitious and feature-rich plugin with a growing user base, its presence in the market is relatively recent. For businesses seeking a proven solution with a long-standing heritage, Yoast’s established positioning offers confidence that the plugin will continue to evolve and provide reliable support for years to come. 

Innovation that shapes the industry

Yoast has always been at the forefront of defining what modern SEO looks like. This isn’t a reactive development; it’s proactive innovation that anticipates where search is heading. Both plugins invest in innovation, but Yoast’s leadership in integrating AI and collaboration with Google sets it apart. 

AI and Automation 

We have introduced an industry-first AI-powered optimization toolset, including: 

  • AI Generate: Creates multiple optimized title and meta description variations instantly, giving you professionally crafted options in seconds instead of struggling for the perfect phrasing.
  • AI Optimize: Scans your content and provides precise, actionable suggestions to improve keyphrase placement, sentence structure, and readability, teaching you SEO best practices while you write. 
  • AI Summarize: Instantly generates bullet-point summaries of your content, making it more scannable and engaging for readers who skim before diving deep. 
  • AI Brand Insights: This is where Yoast truly separates from the pack. As AI platforms like ChatGPT reshape how people find information, AI Brand Insights, included in the Yoast SEO AI+ package, tracks how your brand appears in AI-generated responses. You can monitor your AI visibility, compare it against competitors, and ensure AI platforms accurately represent your business. 

While Rank Math includes helpful automation features such as AI keyword suggestions, Yoast’s AI integration is more comprehensive and positioned as a core pillar of modern SEO strategy. 

Schema markup that search engines can understand

While many plugins output disconnected structured data, Yoast SEO automatically generates a unified semantic graph on every page, linking your organization, content, authors, and products through a single JSON-LD structure that search engines and AI platforms can interpret consistently. 

What makes this different 

Automatic and invisible: 
Yoast outputs rich structured data representing your content, business, and relationships without requiring technical configuration. You focus on creating content; Yoast handles the complexity of structured data behind the scenes. 

Single unified graph format: 
Instead of fragmented schema markup, Yoast creates one cohesive graph structure per page, connecting all entities with unique IDs. When plugins output conflicting schema, search engines can’t reliably interpret your site. Yoast’s unified graph ensures consistent interpretation at scale, whether Google, ChatGPT, or any API is reading your content. 

Minimal configuration: 
Choose whether your site represents a person or organization; Yoast handles the rest automatically. Specialized blocks like FAQ and How-To map directly to correct schema types and link into the graph without additional setup. 

Why this matters for AI-driven search 

As AI platforms increasingly rely on structured data to understand websites, Yoast’s approach of creating a full semantic model of your site positions you for how search and discovery are evolving. The framework scales reliably from 100 to 100,000 pages while maintaining valid entity relationships. For developers, Yoast’s Schema API provides clean filters to extend or customize the graph without breaking its integrity. 

Rank Math and other plugins support Schema markup, but Yoast’s unified graph framework represents a fundamentally different approach: automatic generation, consistent entity relationships, and architecture built for scale. 

Continuous algorithm adaptation

Search engines make thousands of updates every year. Google alone rolls out over 5,000 algorithm changes annually. Now, as search engines evolve to incorporate AI tooling and platforms like ChatGPT reshape the way people discover information, the SEO landscape is changing faster than ever.  

Most website owners can’t possibly track these shifts across traditional search AND emerging AI platforms, let alone understand their implications. Yoast’s dedicated SEO team monitors every significant update, from Google algorithm changes to how AI platforms index and reference content, and proactively adjusts the plugin to ensure your site stays optimized for both traditional and AI-driven discovery.  

When you use Yoast, you’re not just getting software. You’re getting a team of experts working behind the scenes to keep your SEO strategy current across the entire discovery ecosystem. 

An ecosystem built to support your SEO workflow

Yoast offers an ecosystem beyond the plugin. While Yoast SEO itself is a plugin, Yoast provides a comprehensive ecosystem to support your growth: 

  • 24/7 real human expert support available for Yoast SEO Premium users. It ensures that you get fast, knowledgeable help when you need it. 
  • Yoast SEO Academy offers comprehensive SEO education, covering a range of topics from basics to advanced, with accompanying certifications. 
  • A massive knowledge base and community for continuous learning and troubleshooting. 
     

Multi-Platform Support 

Your business doesn’t exist on WordPress alone. That’s why Yoast extends beyond a single platform: 

  • Yoast SEO for Shopify: Brings Yoast’s trusted optimization to Shopify stores, helping ecommerce businesses improve product visibility and drive more sales. 
  • Yoast WooCommerce SEO: Specifically designed for WooCommerce stores with automated product schema, smart breadcrumbs, and ecommerce-focused content analysis. 

This ecosystem approach means Yoast grows with your business, supporting you across platforms as your needs evolve. Rank Math primarily focuses on the WordPress environment with a strong feature set, but lacks the same breadth of educational resources and multi-platform reach. 

Stability and reliability at enterprise-grade scale

Flashy features attract attention. Rock-solid reliability keeps businesses running. Yoast rigorously tests every update for compatibility and performance across different WordPress versions and server configurations. This commitment ensures: 

  • Backward compatibility: Updates maintain existing functionality without requiring extensive reconfiguration 
  • WordPress core integration: Seamless compatibility with new WordPress releases 
  • Performance at any scale: Optimized for sites ranging from personal blogs to high-traffic enterprise installations 

With over 15 years in the market and more than 13 million active installations, Yoast has proven its reliability across millions of sites, hosting environments, and various use cases. 

Rigorous testing and quality assurance 

Yoast maintains strict development standards that prioritize stability above rapid feature deployment. Every update undergoes extensive testing across the latest WordPress versions, most PHP configurations, and common plugin combinations before release. 

This disciplined approach means Yoast users rarely experience plugin conflicts, broken updates, or compatibility issues that plague WordPress sites using less mature plugins. 

Backward compatibility 

Major updates usually shake the functionality of plugins and software. However, Yoast maintains backward compatibility, ensuring that updating your plugin doesn’t suddenly break critical SEO features or require extensive reconfiguration. 

WordPress core compatibility 

As a plugin deeply integrated with WordPress development, Yoast maintains close relationships with the WordPress core team. This ensures seamless compatibility with new WordPress releases, often supporting new versions on launch day while other plugins scramble to catch up. 

Performance optimized for scale 

Whether you run a small blog or an enterprise site with millions of pages, Yoast performs efficiently without slowing down your site. The plugin is engineered for performance, using best practices for database queries, resource loading, and caching integration. 

Enterprises trust Yoast precisely because it scales reliably. Small teams appreciate that the same plugin powering major corporations works flawlessly on their modest sites, too. 

Ready to make a difference with Yoast SEO Premium?

Explore Yoast SEO Premium and the Yoast SEO AI+ package to discover advanced tools built for serious marketers.

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Where Yoast takes the lead

While comprehensive feature-by-feature comparisons can be overwhelming, certain capabilities distinguish truly professional SEO plugins from the rest. Here’s where Yoast’s innovation and depth shine through. 

AI-powered optimization 

Yoast leads the industry in AI integration for SEO optimization: 

  • AI-generated titles and meta descriptions 
  • Real-time content optimization suggestions 
  • An instant content summarization plugin 
  • AI Brand Insights for tracking your presence in AI search platforms 

No competing plugin offers this comprehensive AI integration designed specifically for modern SEO workflows. 

Schema Graph 

Yoast’s Schema implementation creates a complete structured data graph connecting your organization, content, authors, and brand identity. This goes far beyond basic Schema markup, providing search engines with rich context that improves your chances of appearing in knowledge panels, rich results, and AI-generated answers. 

Smart internal linking 

Yoast SEO Premium includes intelligent internal linking suggestions that analyze your content and recommend relevant pages to link to. This isn’t just a list of posts; it’s context-aware suggestions that strengthen your site architecture and improve crawlability. 

Advanced redirect manager 

Managing redirects is critical when restructuring sites, changing URLs, or handling broken links. Yoast’s redirect manager offers: 

  • Automatic redirects when you change a post URL 
  • Bulk CSV import/export for large-scale migrations 
  • REGEX support for complex redirect patterns 
  • Full redirect history and management 

WooCommerce-specific optimization 

If you run an online store, Yoast WooCommerce SEO provides: 

  • Automated product schema markup (price, availability, reviews) 
  • Smart breadcrumbs for product categories 
  • Ecommerce-focused content analysis 
  • Duplicate content prevention for product variations 

Comprehensive crawl settings 

Advanced users appreciate Yoast’s granular control over crawl optimization, robots.txt management, and indexation settings, giving technical SEO professionals the precision they need without overwhelming casual users. 

Bot blocker for LLM training control 

As AI companies scrape the web to train large language models, Yoast gives you control over whether your content is used for AI training via Bot Blocker. This cutting-edge feature addresses a concern most plugins haven’t even acknowledged yet. 

Recognized and trusted by industry leaders 

The company you keep says a lot about who you are. When the world’s most recognized brands trust Yoast to power their WordPress SEO, it’s a powerful testament to the quality, reliability, and effectiveness of our solutions. 

Global brands* using Yoast include: 

  • The Guardian 
  • Microsoft 
  • Spotify 
  • Rolling Stones 
  • Taylor Swift 
  • Facebook 
  • eBay 

These organizations have teams of developers, SEO experts, and decision-makers who have evaluated every available option. They chose Yoast, not because it was the newest, but because it was the best. 

*Disclaimer: Based on third party data sources.

Industry Recognition: 

  • Global Search Awards Finalist: Recognized among the world’s leading SEO solutions 
  • Women’s Choice Awards Winner: Acknowledged for excellence and customer satisfaction 

Yoast isn’t just popular, it’s the default choice for WordPress SEO professionals worldwide. 

Understanding what you really need

Before making your final decision, consider what matters most for your specific situation: 

If you value reliability and stability: Choose a plugin with a proven track record of consistent updates, compatibility, and performance. Longevity matters because it signals the company will be around to support you for years to come. 

If innovation matters to your strategy: Look for a plugin that anticipates SEO trends rather than reacting to them. AI integration, Schema excellence, and algorithm adaptation separate forward-thinking tools from those playing catch-up. 

If support is critical: Consider whether you need community forums or access to real SEO experts who can troubleshoot complex issues quickly. When your business relies on organic traffic, response time is crucial. 

If education is important: Some plugins provide features; others teach you how to use them effectively. Comprehensive training resources and certifications demonstrate a commitment to your success. 

If you’re building for the long term: Think about whether this plugin will grow with your business. Multi-platform support, scalability, and an ecosystem approach ensure that your investment pays dividends for years to come. 

Make the choice that drives real growth

Choosing an SEO plugin isn’t about finding the tool with the longest feature list; it’s about finding the one that best suits your needs. It’s about partnering with a company that shares your commitment to long-term growth, innovation, and excellence. 

Over 13 million websites trust Yoast SEO because it delivers on these promises: 

  • Reliability: 15+ years of consistent innovation and stability 
  • Trust: Used by global brands and industry leaders 
  • Innovation: Leading the industry in AI integration and Schema excellence 
  • Support: 24/7 access to real SEO professionals 
  • Education: Comprehensive training through Yoast Academy 
  • Ecosystem: Multi-platform support and continuous learning resources 
  • Stability: Enterprise-grade performance at any scale 

When you choose Yoast, you’re not just installing a plugin; you’re joining millions of websites that have made the strategic decision to partner with the most trusted name in WordPress SEO. 

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SEO in 2026: Key predictions from Yoast experts

If there’s one takeaway as we look toward SEO in 2026, it’s that visibility is no longer just about ranking pages, but about being understood by increasingly selective AI-driven systems. In 2025, SEO proved it was not disappearing, but evolving, as search engines leaned more heavily on structure, authority, and trust to interpret content beyond the click. In this article, we share SEO predictions for 2026 from Yoast SEO experts, Alex Moss and Carolyn Shelby, highlighting the shifts that will shape how brands earn visibility across search and AI-powered discovery experiences.

Key takeaways

  • In 2026, SEO focuses on visibility defined by clarity, authority, and trust rather than just page rankings
  • Structured data becomes essential for eligibility in AI-driven search and shopping experiences
  • Editorial quality must meet machine readability standards, as AI evaluates content based on structure and clarity
  • Rankings remain important as indicators of authority, but visibility now also includes citations and brand sentiment
  • Brands should align their SEO strategies with social presence and aim for consistency across all platforms to enhance visibility

A brief recap of SEO in 2025: what actually changed?

2025 marked a clear shift in how SEO works. Visibility stopped being defined purely by pages and rankings and began to be shaped by how well search engines and AI systems could interpret content, brands, and intent across multiple surfaces. AI-generated summaries, richer SERP features, and alternative discovery experiences made it harder to rely solely on traditional metrics, while signals such as authority, trust, and structure played a larger role in determining what was surfaced and reused.

As we outlined in our SEO in 2025 wrap-up, the brands that performed best were those with strong foundations: clear content, credible signals, and structured information that search systems could confidently understand. That shift set the direction for what was to come next.

By the end of 2025, it was clear that SEO had entered a new phase, one shaped by interpretation rather than isolated optimizations. The SEO predictions for 2026 from Yoast experts build directly on this evolution.

2026 SEO predictions by Yoast experts

The SEO predictions for 2026 shared here come from our very own Principal SEOs at Yoast, Alex Moss and Carolyn Shelby. Built on the lessons SEO revealed in 2025, these predictions focus less on reacting to individual updates and more on how search and AI systems are evolving at a foundational level, and what that means for sustainable visibility going forward.

TL;DR

SEO in 2026 is about understanding how signals such as structure, authority, clarity, and trust are now interpreted across search engines, AI-powered experiences, and discovery platforms. Each prediction below explains what is changing, why it matters, and how brands can practically adapt in the coming year.

Prediction 1: Structured data shifts from ranking enhancer to retrieval qualifier

In 2026, structured data will no longer be a competitive advantage; it will become a baseline requirement. Search engines and AI systems increasingly rely on structured data as a layer of eligibility to determine whether content, products, and entities can be confidently retrieved, compared, or surfaced in AI-powered experiences.

For ecommerce brands, this shift is especially significant. Product information such as pricing, availability, shipping details, and merchant data is now critical for visibility in AI-driven shopping agents and comparison interfaces. At the enterprise level, the move toward canonical identifiers reflects a growing need to avoid misattribution and data decay across systems that reuse information at scale.

What this means in practice:

Brands without clean, comprehensive entity and product data will not rank lower. They will simply not appear in AI-driven shopping and comparison flows at all.

Also read: Optimizing ecommerce product variations for SEO and conversions

How to act on this:

Treat structured data as part of your SEO foundation, not an enhancement. Tools like Yoast SEO help standardize the implementation of structured data. The plugin’s structured data features make it easier to generate rich, meaningful schema markup, helping search engines better understand your site and take control of how your content is described.

A smarter analysis in Yoast SEO Premium

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Prediction 2: Agentic commerce becomes a visibility battleground, not a checkout feature

Agentic commerce marks a shift in how users discover and choose brands. Instead of browsing, comparing, and transacting manually, users increasingly rely on AI-driven agents to recommend, reorder, or select products and services on their behalf. In this environment, visibility is established before a checkout ever happens, often without a traditional search query.

This shift is becoming more concrete as search and commerce platforms move toward standardised ways for agents to understand and transact with merchants. Recent developments around agentic commerce protocols and Universal Commerce Protocol (UCP) highlight how AI systems are being designed to access product, pricing, availability, and merchant information more directly. As a result, platforms such as Shopify, Stripe, and WooCommerce are no longer just infrastructure. They increasingly act as distribution layers, where agent compatibility influences which brands are surfaced, recommended, or selected.

What this means in practice:

In 2026, SEO teams will be accountable for agent readiness in much the same way they were once accountable for mobile-first readiness. If agents cannot consistently interpret your brand, product data, or availability, they are more likely to default to competitors that they can understand with greater confidence.

How to act on this:

Focus on making your brand legible to automated decision systems. Ensure product information, pricing, availability, and supporting metadata are clear, structured, and consistent across your site and feeds. This is not about optimising for a single platform or protocol, but about reducing ambiguity so AI agents can accurately interpret and act on your information across emerging agent-driven discovery and commerce experiences.

Prediction 3: Editorial quality becomes a machine readability requirement

In 2026, editorial quality is no longer judged only by human readers. AI systems increasingly evaluate content based on how efficiently it can be parsed, summarized, cited, and reused. Verbosity, fluff, and circular explanations do not fail editorially. They fail functionally.

Content that is concise, clearly structured, and well-attributed has higher chances of performing well. Headings, lists, definitions, and tables directly influence how information is chunked and reused across AI-generated summaries and search experiences.

Must read: Why is summarizing essential for modern content?

What this means in practice:

“Helpful content” is being held to higher editorial standards. Content that cannot be summarized cleanly without losing meaning becomes less useful to AI systems, even if it remains readable to human audiences.

How to act on this:

Make editorial quality measurable and machine actionable. Utilize tools that assist you in aligning content with modern discoverability requirements. Yoast SEO Premium’s AI features, AI Generate, AI Optimize, and AI Summarize, help you assess and improve how content is structured and optimized, supporting both search engines and AI systems in understanding your intent.

Prediction 4: Rankings still matter, but as training signals, not endpoints

Despite ongoing speculation, rankings do not disappear in 2026. Instead, their role changes. AI agents and search systems continue to rely on top-ranked, trusted pages to understand authority, relevance, and consensus within a topic.

While rankings are no longer the final KPI, abandoning them entirely creates blind spots in understanding why certain brands are included or ignored in AI-driven experiences.

What this means in practice:

Teams that stop tracking rankings altogether risk losing insight into how authority is established and reinforced across search and AI systems.

How to act on this:

Continue to use rankings as diagnostic signals, but don’t treat them as the sole indicator of success in 2026. Alongside traditional performance metrics for SEO in 2026, look at how often your brand is mentioned, cited, or summarized in AI-generated answers and recommendations.

Tools like Yoast AI Brand Insights, available as part of Yoast SEO AI+, help surface these broader visibility signals by showing how your brand appears across AI platforms, including sentiment, citation patterns, and competitive context.

See how visible your brand is in AI search

Track mentions, sentiment, and AI visibility. With AI Brand Insights and Yoast SEO AI+, you can start monitoring and improving your performance.

Prediction 5: Brand sentiment becomes a core visibility signal

Brand sentiment increasingly influences how search engines and AI systems assess credibility and trust. Mentions, whether linked or unlinked, contribute to a broader understanding of how a brand is perceived across the web. AI systems synthesize signals from reviews, forums, social platforms, media coverage, and knowledge bases to form a composite view of legitimacy and expertise.

What makes this shift more impactful is amplification. Inconsistent messaging or negative sentiment is not smoothed out over time. Instead, it becomes more apparent when systems attempt to summarize, compare, or recommend brands across search and AI-driven experiences.

What this means in practice:

SEO, brand, PR, and social teams increasingly influence the same visibility signals. When these efforts are misaligned, credibility weakens. When they reinforce one another, trust becomes easier for systems to establish and maintain.

How to act on this:

Focus on consistency across owned, earned, and shared channels. Pay attention not only to where your brand ranks, but also to how it is discussed, described, and contextualized across various platforms. As discovery expands beyond traditional search results, reputation and narrative coherence become essential inputs into how brands are surfaced and understood.

Prediction 6: Multimodal optimization becomes baseline, not optional

Search behavior is no longer text-first. Images, video, audio, and transcripts now function as retrievable knowledge objects that feed both traditional search and AI-powered experiences. In particular, video platforms continue to influence how expertise and authority are understood at scale.

Platforms like YouTube function not only as discovery engines, but also as training corpora for AI systems learning how to interpret topics, brands, and creators.

What this means in practice:

Brands with strong written content but weak visual or video assets may appear incomplete or “thin” to AI systems, even if their articles are well-optimized.

How to act on this:

Treat multimodal content as part of your SEO foundation. Support written content with relevant visuals, video, and transcripts. Clear structure and readability remain essential, and tools like Yoast SEO help ensure your core content remains accessible and well-organized as it is reused across formats.

Prediction 7: Social platforms become secondary search indexes

Discovery will increasingly happen outside traditional search engines. Platforms such as TikTok, LinkedIn, Reddit, and niche communities now act as secondary search indexes where users validate expertise and intent.

AI systems reference these platforms to verify whether a brand’s claims, expertise, and messaging are substantiated in public discourse.

What this means in practice:

Presence alone is not enough. Inconsistent or unclear messaging across platforms weakens trust signals, while focused, repeatable narratives reinforce authority.

How to act on this:

Align your SEO strategy with social and community visibility to enhance your online presence. Ensure that your expertise, terminology, and positioning remain consistent across all discussions about your brand.

Must read: When AI gets your brand wrong: Real examples and how to fix it

Prediction 8: Email reasserts itself as the most controllable growth channel

As discovery fragments and platforms increasingly gate access to audiences, email regains importance as a high-signal, low-distortion channel. Unlike search or social platforms, email offers direct access to users without algorithmic mediation.

In 2026, email plays a supporting role in reinforcing authority, engagement, and intent signals, especially as AI systems evaluate how audiences interact with trusted sources over time.

What this means in practice:

Brands that underinvest in email become overly dependent on platforms they do not control, which increases volatility and reduces long-term resilience.

How to act on this:

Focus on relevance over volume. Segment audiences, align content with intent, and use email to reinforce expertise and trust, not just drive clicks.

Prediction 9: Authority outweighs freshness for most non-news queries

For non-news content, AI systems increasingly prioritize credible, historically consistent sources over frequent updates or constant publishing. Freshness still matters, but only when it meaningfully improves accuracy or relevance.

Long-standing domains with coherent narratives and well-maintained content benefit, provided their foundations remain clean and trustworthy.

What this means in practice:

Scaled/programmatic content strategies lose effectiveness. Publishing frequently without maintaining quality or consistency introduces noise rather than value.

How to act on this:

Invest in maintaining and improving existing content. Update thoughtfully, reinforce expertise, and ensure that your most important pages remain accurate, structured, and authoritative.

Prediction 10: SEO teams evolve into visibility and narrative stewards

In 2026, SEO will extend far beyond search engines. SEO teams are increasingly influencing how brands are perceived by both humans and machines across search, AI-generated answers, and discovery platforms.

Success is measured not only by traffic alone, but also by inclusion, citation, and trust. SEO becomes a strategic function that shapes how a brand is represented and understood.

What this means in practice:

SEO teams that focus solely on production or technical fixes risk losing influence as visibility becomes a cross-channel concern.

How to act on this:

Shift focus toward clarity, consistency, and long-term trust. The most effective teams help define how a brand is understood, not just how it ranks.

What SEO is no longer about in 2026 (misconceptions to discard)

As SEO evolves in 2026, many long-standing assumptions no longer reflect how search engines and AI-driven systems actually determine visibility. The table below contrasts common SEO myths with the realities shaped by recent changes and expert insights from Yoast.

Diminishing relevance What actually matters in 2026
SEO is mainly about ranking pages Rankings still matter, but they serve as signals for authority and relevance, rather than the final measure of visibility
Structured data is optional or a ranking boost Structured data is now a baseline requirement for eligibility in AI-driven search, shopping, and comparison experiences
Publishing more content leads to better performance Authority, clarity, and maintenance of fewer strong assets outperform high-volume publishing
Editorial quality is subjective Content quality is increasingly evaluated by machines based on structure, clarity, and reusability
Brand reputation is a PR concern, not an SEO one Brand sentiment directly influences how AI systems interpret, trust, and recommend brands
Search is still primarily text-based Images, video, audio, and transcripts are now core retrievable knowledge objects
SEO can be measured only through traffic Visibility spans AI answers, social platforms, agents, and citations, requiring broader performance signals

Looking ahead: what will shape SEO in 2026

The focus is no longer on isolated tactics or short-term wins, but on building visibility systems that search engines and AI platforms can reliably understand, trust, and reuse.

Clarity and interpretability matter more than clever optimization. Content, products, and brand narratives need to be easy for machines to interpret without ambiguity. Structured data has become foundational, not optional, determining whether brands are eligible to appear in AI-powered shopping, comparison, and answer-driven experiences.

Authority is built over time, not manufactured at scale. Search and AI systems increasingly favor sources with consistent, well-maintained narratives over those chasing volume. Visibility also extends beyond the SERP, spanning AI-generated answers, citations, recommendations, and cross-platform mentions, making it essential to look beyond traffic as the sole measure of success.

Finally, SEO in 2026 demands alignment. Brand, content, product, and platform signals all contribute to how systems interpret trust and relevance.

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New: Track brand visibility in Gemini with Yoast AI Brand Insights

Yoast AI Brand Insights now lets you track how your brand appears in Google’s Gemini. You can see your Gemini data alongside ChatGPT and Perplexity, all in one dashboard. 

With a single analysis, you can see how different AI platforms describe your brand with the Yoast SEO AI+ plan. You’ll see which sources they use and how sentiment compares across the tools your customers use most. 

Why this matters 

AI platforms use different methods to answer questions about your brand, often leading to different results. Seeing these results side-by-side helps you spot gaps or missed opportunities in your brand’s AI presence. 

  • ChatGPT is designed as a conversational assistant, focusing on natural dialogue and using multi-step reasoning to explain complex topics. 
  • Perplexity positions itself as an “answer engine”, emphasizing transparency by grounding every response in cited web sources. 
  • Gemini presents itself as a search-driven LLM, leveraging Google’s vast index to show how your brand appears in real-time search contexts.

As these tools frame your brand differently, from conversational reasoning to source-heavy citations, you need a single dashboard which covers all to see which sources they rely on and how their sentiment compares. 

What’s new 

You can now: 

  • Run brand visibility analyses in Gemini, in addition to ChatGPT and Perplexity. 
  • Compare results across all three platforms with the added benefit of a built-in historical view. 
  • Track brand mentions, sentiment, and citations in one place. 
  • Monitor changes over time in your AI Visibility Index. 

How to get started 

If you’re already using Yoast SEO AI+, nothing changes in how you work. Log in and at your next analysis, Gemini data is now included automatically at no extra cost. You can select the AI platform from the dropdown, and your dashboard will show a broader view of how your brand appears across AI search and chat. 

To upgrade

If you don’t yet have Yoast SEO AI+, you’ll need to upgrade to access the Yoast AI Brand Insights tool. The AI+ plan brings brand visibility tracking together with on-page SEO tools, content optimization, and AI-powered insights in one package, so you can analyze how your brand is mentioned and act from the same workflow. 

Upgrade to Yoast SEO AI+ to start scanning your brand across Gemini, ChatGPT, and Perplexity. 

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Site Kit by Google integration available for all Yoast customers 

This first release of 2026 brings Site Kit by Google insights into your Yoast SEO Dashboard. After introducing the integration in phases throughout 2025, we are pleased to share that the rollout is now complete and available to all Yoast customers using WordPress. 

What you can see in your Yoast SEO Dashboard 

You can now view key performance data from Google Search Console and Google Analytics via Site Kit in your Yoast SEO Dashboard, without changing tools or tabs. These insights include search impressions, clicks, average click through rate, average position, and organic sessions, which are combined with your Yoast SEO and readability scores so you can better understand how content quality relates to real search performance. 

Find opportunities faster 

The integration also surfaces your top performing content and search queries, helping you quickly spot which pages and topics are driving results and where improvements may have the most impact. Connecting Site Kit by Google is straightforward. Once connected, insights become available immediately, giving you faster access to the data you need to guide your SEO work. 

If you are interested in the technical background of this integration and our collaboration with Google, we share the full story on our developer blog

Get started 

Update to Yoast SEO 26.7 to start using Site Kit by Google insights in your Dashboard and streamline your workflow with key performance data in one place. For step by step guidance on enabling the integration, see our help center guide

If you would like to share your experience, you can provide feedback through our survey to help guide future improvements.  

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