This release is for developers and anyone who builds on Yoast SEO. It brings two changes: you can now use your AI tool to update titles, meta descriptions, and social previews with Yoast SEO Abilities. In addition, we’ve done our yearly cleanup of deprecated code. If you maintain a theme or plugin that hooks into Yoast SEO, read the cleanup section before you update.
Update titles and descriptions from your AI tool
Since April, Yoast SEO Abilities have let you use your AI tool to check your SEO, readability, and inclusive language scores. In September, you could also read a post’s SEO data and correct its technical settings without opening wp-admin. Now you can update the titles and descriptions people see in search results and social feeds too.
The yoast-seo/update-post-seo-data ability now supports six more fields:
SEO title
Meta description
Open Graph title and description (what platforms like Facebook and LinkedIn show when someone shares your post)
X title and description
For example, say you’ve renamed a product, and its title and social previews still show the old name. You can use your AI tool to read the post’s SEO data, review what’s out of date, and update it in the same conversation.
Everything else works as before. Your focus keyphrase stays read-only, so you always set it yourself. In addition, access still follows native WordPress capability checks.
Already using Abilities? The new fields are ready once you update. New to it? The developer documentation covers how to connect your LLM and the WordPress MCP Adapter, plus the full ability list and schemas.
Yearly cleanup of deprecated code
We’ve removed code we deprecated in Yoast SEO 26.1 or earlier. If your site, theme, or plugin still uses any of it, you’ll have been seeing deprecation notices for at least a year. As a result, most sites won’t notice a thing. However, these changes are the most likely to affect you:
We’ve removed the WPSEO_Frontend class, which we deprecated in Yoast SEO 14.0 (April 2020).
We’ve removed the wpseo_opengraph and wpseo_twitter actions. Use wpseo_frontend_presenters instead. You’ll still get a warning if your code hooks into them.
The wpseo_robots_array filter must now return an array. Returning anything else causes a fatal error.
We’ve deprecated the $where and $format arguments of WPSEO_Database_Proxy::upsert(). That means we’ll remove them in next year’s cleanup.
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AnswerThePublic now functions as a content creation platform. It reads your URL, builds a Business Summary, and turns real audience questions into 50 ranked content ideas.
Suggested For You tells you what to write next, and Keyword Coverage tags every keyword you already rank for by source (sitemap, competitor, manual/planned, or AI suggestion) so you know where you stand today.
Content Studio drafts a full article in your brand voice, and one click publishes it straight to WordPress or shares it across your connected social accounts.
Ubersuggest’s AI Prompt Ideas tool surfaces the prompts people run for your keyword, which brands get mentioned, and which sources get cited inside those AI answers.
Ubersuggest’s AI Search Visibility report tracks how often your brand shows up in AI-generated answers over time, compares that to competitors, and flags whether the mentions read positive, neutral, or negative.
Search listening still gets you ahead in the SEO game. It just means something bigger now.
Every search is a window into what someone actually thinks, wants, or worries about. And now, that window matters more than ever, since a huge share of those searches never end in a click. They end in an AI-generated answer. So, if your content isn’t built to be cited inside that answer, it doesn’t matter how good it is.
Google’s exactly where people still go when someone tells them to “just Google it.” But increasingly, they’re also asking ChatGPT, Perplexity, Claude, and Gemini the same questions.
By listening to what people are actually asking, across all of it, AnswerThePublic turns real search behavior into a content plan. Not a keyword list. A plan.
Pair it with Ubersuggest, and you’ve got the two halves of a real SEO strategy: what to write, and whether it’s working.
What is AnswerThePublic?
AnswerThePublic used to be a keyword ideation tool. Type in a word, get a wheel of related questions.
It’s grown into something bigger: a content intelligence and creation platform. You still start from real audience questions, but now the tool takes you all the way from “what should I write?” to a published article, in one place.
Say you run an ecommerce store selling earbuds and headphones. You could guess what your customers want to know. Or you could paste your site’s URL into AnswerThePublic and let it tell you, based on what real people are actually searching.
Instead of starting with a keyword, you start with your website. AnswerThePublic reads your site and builds a Business Summary in seconds: what you sell, who you sell to, and the topics you should own.
If you’d rather start with a specific topic, you can do that too. But the URL-first approach means the tool already knows your business before it gives you a single idea.
Step 2: Open Suggested For You.
In the past, this is where the wheel lived, full stop. Now you get the wheel plus something new: 50 AI-suggested content ideas, ranked by opportunity for your specific business, with a badge showing how likely that keyword is to rank well based on competition and content gaps.
The wheel is still right there if you want the full, unfiltered spread of Questions, Prepositions, Comparisons, Alphabetical, and Related terms. The 50 ranked ideas just mean you don’t have to sort through it by hand before you know where to start.
You won’t use all 50 ideas, and you won’t need every branch of the wheel either. Focus on what you and your team can actually execute well, and save the rest for later.
Step 3: Check Keyword Coverage.
Right below Suggested For You in the project menu, there’s a section called Keyword Coverage. This one isn’t about new topics, it’s an audit of what your site already ranks for and where you’re exposed.
Every keyword in there is tagged by where it came from. Sitemap means it’s a keyword you’re already ranking for in live Google results. Competitor means a rival ranks for it on page one and you don’t, yet. Manual/Planned means you added it yourself. AI suggestions means AnswerThePublic surfaced it on its own.
That’s the difference between the two sections: Suggested For You tells you what to write next. Keyword Coverage tells you where you stand right now, and who’s ahead of you on keywords you haven’t claimed.
From either screen, Suggested For You or Keyword Coverage, you can pick a topic and hit Generate Content right there. No detour required if you already know what you want written.
Step 4: Or Build it Out in Content Plan.
If you’re planning further ahead than one article, Content Plan is where that happens. It’s a calendar view, laid out by month, where you set a cadence (1 Articles/Day, for example) and schedule what gets written and when.
Click Add Keywords, and you’ve got two options: type in the keywords yourself, separated by commas, or click Get AI Suggestions and let AnswerThePublic pick them for you. Arrange Keywords lets you reorder what’s queued, and Keywords History keeps a record of everything you’ve already used.
So there are really two ways to work: generate one article at a time straight from Suggested For You or Keyword Coverage, or batch it out on a calendar in Content Plan and let it run on a schedule.
Step 5: Hit Generate in Content Studio.
Whichever path got you here, Content Studio is where the draft actually gets written. Pick a title, shape the outline, and let it do the heavy lifting.
It researches the pages already ranking for that topic and writes a draft in your brand voice, not a generic one.
Step 6: Refine, Plan, and Publish.
Edit the draft until it sounds like you, then publish straight to your site. One-click WordPress publishing is built in.
Hit Share button and push it straight to Instagram, X, LinkedIn, or Facebook. You connect those accounts once under Settings > Social Integrations, and after that it’s one click from a draft or a published article straight to your social feeds.
No separate writing tool. No manual copy-paste into your CMS, and no separate scheduler for social either.
Pairing AnswerThePublic With Ubersuggest
Once you’ve got your content plan from AnswerThePublic, Ubersuggest is where you validate it and track what happens next.
These two tools give you a massive amount of useful data.
Take one of your Suggested For You topics and drop it into Ubersuggest’s Keywords tool. Two things are worth checking here.
Content Ideas shows you the pieces that got the most social shares on that topic, so you’re not writing blind, you’re writing with headline inspiration already backed by what people actually shared.
AI Prompt Ideas goes a step further. For your keyword, it surfaces the most relevant AI prompts people are actually running, and shows which brands get mentioned, what intent sits behind each prompt, and which sources get cited.
That’s a direct line into what’s already winning inside AI answers for your topic, before you’ve written a word.
From there, you’re combining two data sets:
What your audience is actually asking (from AnswerThePublic)
Who’s already winning that topic, in Google and in AI answers (from Ubersuggest)
That combination tells you not just what to write about, but how to angle it so you’re not just repeating what’s already ranking or already cited.
Once your article is published, Ubersuggest’s AI Search Visibility report shows you whether it’s actually getting picked up.
You’ll see how often your brand shows up in AI-generated answers for that topic, how you compare to competitors tracked in the same space, and whether the mentions read as positive, neutral, or negative.
That’s the loop you need to keep track with: find the question, write the answer, and then actually check if Google and AI platforms are citing you for it.
Using Ubersuggest and AnswerThePublic to Build Your SEO Strategy
AnswerThePublic gets you strategically creative. It shows you the real questions people are searching, and drafts the content that answers them.
Ubersuggest gets you the data to back it up, and the visibility tracking to know if it worked.
Together, they cover the full loop: research, create, publish, and measure whether you’re actually showing up where your audience is searching, on Google and beyond.
Set up a cadence. Publish consistently. Check your AI Search Visibility numbers the same way you’d check rankings.
That’s how you stay ahead of a search landscape that keeps changing shape.
FAQs
What is AnswerThePublic?
AnswerThePublic is a content intelligence platform that starts with your website URL, surfaces the real questions your audience is asking, and helps you turn those questions into a published article.
How is AnswerThePublic different from Ubersuggest?
AnswerThePublic handles research and content creation. It shows you what people are asking and drafts the content that answers them. Ubersuggest handles validation and tracking. It shows you who already ranks for a topic and reports whether your published content shows up in AI-generated answers.
What does Keyword Coverage show in AnswerThePublic?
Keyword Coverage audits the keywords your site already ranks for and tags each one by source: sitemap, competitor, manual/planned, or AI suggestion. It also flags topics where a competitor ranks on page one and you don’t, yet.
Can I publish content directly from AnswerThePublic?
Yes. Content Studio drafts an article in your brand voice, and once you’ve edited it, you can publish straight to WordPress or share it to Instagram, X, LinkedIn, or Facebook from the same screen.
What does Ubersuggest’s AI Search Visibility report track?
It tracks how often your brand appears in AI-generated answers for a given topic, compares your visibility to competitors you’re tracking in that space, and notes whether the mentions read as positive, neutral, or negative.
Conclusion
With AnswerThePublic, you’re not guessing what your audience wants to know. You’re reading it straight from the source.
Your audience gives you the questions. AnswerThePublic turns them into content. Ubersuggest tells you if it’s landing.
Try it for yourself, starting with your own URL instead of a single keyword, and see what your audience has been asking all along.
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AI adoption in email is concentrated in content production. Personalization, automation, and deliverability, where the bigger revenue gains sit, get far less attention.
Personalization is moving from broad segments, like geography and demographics, to individual, predictive targeting.
Automation’s share of email revenue grows with company size. Businesses over $51 million in revenue get 71 percent of email revenue from automation versus 11 percent from campaigns.
Nearly a fifth of sent emails never reach the inbox, and most of that loss happens before a subscriber has any chance to engage.
The programs that win connect personalization, automation, and deliverability into a single system that reinforces itself.
Have you noticed your team is sending more emails than ever, but the results don’t feel any different?
Most marketers are pointing AI at email marketing’s wrong problem. The real opportunity is understanding customer intent, automating decisions, and personalizing experiences at scale. Most teams are using AI to write more emails without fixing the parts of the program that actually drive revenue.
Email personalization, automation, and deliverability are the three areas that actually move that revenue. Inboxes are getting louder as AI makes content creation easier, and louder rarely means more relevant. The rest of this post walks through what’s changing in each area, and how to build them into one connected system.
The AI Shift: What’s Changing in Email Marketing
Marketing teams are under real pressure right now: do more with fewer resources, scale personalization, improve retention and lifetime value, and increase marketing efficiency, all at once. AI looks like the obvious answer.
The problem is where that AI effort is actually going. Ask marketers what their biggest email challenge is today, and list growth tops the list at 29 percent, followed by personalization at 25 percent. Deliverability comes in last, at just 6 percent, even though it’s the foundation everything else depends on. An email that never reaches the inbox can’t be personalized or well-timed enough to matter.
Deliverability: making sure it reaches the inbox at all.
You can’t improve these levers in isolation and expect the same lift each time. A gain in one gets erased by a gap in another. Perfect personalization that lands in spam accomplishes nothing, and flawless deliverability paired with generic, one-size-fits-all messaging just means more people ignoring an email they did receive.
Personalization in the AI Era
Most brands are stuck in what amounts to a segmentation trap. They personalize using broad buckets, new versus returning customers, geography, industry, demographics, and call it personalization. Only 34 percent of companies actually use AI-driven or predictive email marketing personalization. Another 24 percent are still at basic audience segmentation, and 5 percent use no personalization at all.
Most teams have the customer data needed for real personalization, they just aren’t using it to predict what happens next. Teams rate themselves strongest in measurement and attribution, with 55 percent calling that capability strong or very advanced. They rate themselves weakest in customer data and identity, at just 37 percent strong or advanced, along with AI skills and governance.
Personalization moves through three stages. Demographic personalization (location, age, gender) is the easiest to set up but produces broad assumptions and low relevance. Behavioral personalization (products viewed, purchases, engagement) produces higher engagement and better conversion. Predictive personalization goes a step further, using purchase likelihood, churn risk, and lifetime value to guide what happens next.
Open rates already vary by age group, from roughly 20.6 percent among 18-24-year-olds up to 25.7 percent among 55-64-year-olds, which makes a strong case for layering behavioral and predictive signals on top of basic demographic segmentation.
Four tactics you can implement this week: dynamic product recommendations based on browsing and purchase history, dynamic content blocks that swap headlines and offers by segment, send-time optimization based on when a subscriber actually engages, and predictive offers built around what a subscriber is likely to buy next.
Campaign marketing runs on a simple loop: campaign, send, repeat. Lifecycle marketing works differently. A customer action triggers an automated response, no one has to remember to hit send.
That shift matters more as companies grow. Businesses earning less than $1 million get 49 percent of their email revenue from campaigns. That flips as revenue scales. Companies earning over $51 million get 71 percent of email revenue from automation and just 11 percent from campaigns. Manual scheduling shows up as inconsistent customer journeys, day-to-day operational inefficiency, and revenue a trigger would have caught but a person missed.
Some automations pull far more weight than others. Abandoned cart drives the largest share of automation revenue at 32 percent, followed by welcome series at 21 percent and post-purchase upsell or replenishment at 16 percent.
Post-purchase flows compound in a way that’s easy to underestimate. Email marketing lifts repurchase rate by 31 percent and shortens time to repurchase by roughly 8 days, and that gain repeats across your entire customer base.
Automation maturity builds in stages. Triggered campaigns just need a trigger to fire. Behavioral automation needs data on what people actually do. Predictive lifecycle marketing needs AI making the calls on timing and offers.
Deliverability: Why Great Emails Still Land in Spam
Here’s how much audience a typical send loses before anyone has a chance to engage. Of emails sent, 98 percent get accepted by the mailbox provider, but only 82 percent actually reach the inbox. Only 36 percent get opened, and only 2.5 percent get clicked. Every stage between send and click loses part of your audience, and most of that loss happens before a subscriber ever sees the email.
Inbox providers are changing the rules on this. They increasingly use AI to decide which emails reach the inbox, which get filtered, and which senders get trusted at all. Marketers tend to rank authentication and open rate as what matters most, but inbox providers weight sender and domain reputation and spam complaints far more heavily. Trust signals like replies and complaint rates are quietly deciding who gets filtered, whether marketers are watching them or not.
Email deliverability best practices rest on authentication (SPF, DKIM, DMARC), sender reputation built through engagement and damaged by complaints, and list quality, where a smaller engaged audience consistently outperforms a larger inactive one. Good list hygiene reinforces each of these: segment by engagement, purchase behavior, and activity recency, then back that up with re-engagement campaigns, sunset policies, and suppression strategies for contacts who’ve gone quiet.
Higher send frequency can shrink your effective audience instead of growing it. Open rates decline as cadence increases, from 33.8 percent at one send a week down to 26.2 percent at five or more, and volume without value trains subscribers to stop opening. Affiliate emails and cold emails carry the highest unsubscribe and spam complaint rates of any email type. The most common mistakes behind poor email deliverability are excessive frequency, poor segmentation, purchased lists, misleading subject lines, and ignoring inactive subscribers instead of suppressing them.
Personalization, automation, and deliverability only work as one system. Personalization without deliverability never gets read. Automation without personalization feels robotic. Deliverability without automation can’t scale past what a person can manually manage.
A modern email stack needs five pieces working together: an ESP platform, a customer data platform, AI content tools, predictive analytics, and deliverability monitoring. Most teams already have some of these, but few have them talking to each other.
That disconnect shows up in where AI investment is actually going. Teams are pouring the most effort into content creation and paid media optimization, the two areas with the highest percentage of teams applying AI. Personalization and marketing automation get far less investment, despite rating comparable or higher on effectiveness. Investment is going toward the easiest wins, even though personalization and automation are rated as more effective.
The future email team blends strategy, data, automation, and AI into a single connected workflow from the start.
The 90-Day Action Plan
Trying to fix personalization, automation, and deliverability all at once is how most programs stall. Sequencing beats doing everything simultaneously.
Days 1 to 30 (Audit): Review deliverability, automation, and segmentation to find the weakest link in your current program.
Days 31 to 60 (Implement): Build the priority automations, dynamic content, and AI-assisted workflows the audit surfaced.
Days 61 to 90 (Scale): Layer in predictive personalization, advanced testing, and revenue measurement once the foundation holds.
The sequencing matters more than the individual tactics. Predictive personalization and recommendations account for the largest single share of incremental business impact among AI email initiatives, at 31 percent, and impact compounds as each subsequent initiative builds on the last, reaching 100 percent cumulative impact across all five. Sequence each initiative starting with whichever is easiest to implement, and let each one build on the last.
FAQs
What is AI email personalization?
AI email personalization uses behavioral and predictive data, like purchase likelihood, churn risk, or browsing history, to tailor subject lines, content, and offers to each subscriber individually.
How do I improve email deliverability?
Focus on authentication (SPF, DKIM, DMARC), sender reputation built through consistent engagement, and list quality maintained through regular re-engagement campaigns and suppression of inactive contacts.
What email automations have the highest ROI?
Abandoned cart, welcome series, and post-purchase upsell or replenishment automations drive the largest share of automation revenue. Browse abandonment and re-engagement automations round out the five workflows worth building first.
How much should I automate vs. send as campaigns?
It depends on company size and program maturity, but the trend is clear: larger, more mature email programs shift the majority of their revenue toward automation. Businesses over $51 million in revenue get 71 percent of email revenue from automation, compared to 49 percent from campaigns at businesses under $1 million.
Conclusion
AI raises the ceiling on an email program that already has strong fundamentals in place.
Personalization, automation, and deliverability function as one integrated system. A gap in any one of them limits what the other two can do. Brands that build these pillars in sequence see the gains compound faster than brands trying to fix everything simultaneously.
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If you’re weighing Yoast SEO vs All in One SEO, you’re asking the right question. Your SEO plugin touches almost every page you publish. It shapes how search engines read your site and how AI platforms understand it too. Both plugins have been part of WordPress for a long time and are a popular choice among website owners and agencies worldwide. So this isn’t a choice between a proven tool and an untested one. It’s a choice between two ideas of what an SEO plugin should do for you.
What matters in a WordPress SEO plugin comparison
Most established plugins cover the basics: SEO titles, meta descriptions, content analyses. What separates them is how they help you make decisions, handle change, and support you when something goes wrong. Before comparing features, ask yourself:
Will it help me understand SEO, or will it only tell me what to change?
Will it keep working reliably as WordPress and search evolve?
Can I get help right away when something breaks?
Is it ready for how people search now, including AI assistants?
Can it grow with my site, my team, and the platforms we use?
Yoast SEO vs AIOSEO: how the plugins compare
AIOSEO positions itself as an all-in-one toolkit. Alongside its TruSEO on-page analysis, it offers a Schema generator, search statistics, a keyword rank tracker, local SEO, a link assistant, and AI writing tools. At the moment, AIOSEO has over 3 millions users of their WordPress plugin.
Yoast SEO takes a different approach. We focus on guiding you as you write, structuring your site for search engines and AI platforms, and explaining the why behind every recommendation. Yoast SEO is active on more than 13 million websites with more than 1 billion downloads in total.
Feature
Yoast SEO
All in One SEO
Free version
Yoast SEO
AIOSEO Lite
Content feedback
Real-time SEO and readability analysis, plus inclusive language analysis
TruSEO on-page analysis and score
AI tools
AI Generate, AI Optimize, AI Summarize, AI Content Planner (Premium), AI Bulk Editor (Premium) and AI Brand Insights (Yoast SEO AI+)
AI Assistant, AI Content Generator, and AI Image Generator
Structured data
One connected Schema graph, generated automatically
Schema Generator with rich snippet types
AI readability
llms.txt and Schema Aggregation, both free
LLMs.txt Generator
Platforms
WordPress/WooCommerce, Shopify, and Google Docs
WordPress including WooCommerce
Learning
Yoast SEO Academy courses, blog posts, help articles, and monthly webinars
Documentation, blog, and guides
Both are capable plugins. AIOSEO leans toward breadth and reporting inside WordPress, while Yoast SEO leans toward guidance, structure, and readiness for wider discovery.
Understanding what you need
The best WordPress SEO plugin is the one that fits your goals:
Guidance and learning: Choose a plugin that explains why each recommendation matters.
AI readiness: Look for connected Schema, llms.txt, and control over AI crawlers.
Support: Check how quickly you can reach a real person when something breaks.
Search data in WordPress: Does the plugin provide sufficient data to make choices about your content and website?
The long term: Pick a plugin with a record of stable updates and a team that keeps adapting.
Experience that keeps up with search
For more than 15 years, Yoast has tracked every major shift in search, from early algorithm updates to AI-generated answers. Today, Yoast SEO is active on more than 13 million websites and has passed one billion downloads.
That experience works for you. Our team follows algorithm updates and how AI platforms read content, updates the plugin when things change, and explains what it means on our blog, in webinars, and in Yoast SEO Academy. Since 2010, our mission hasn’t changed: SEO for everyone, regardless of budget or technical skill.
Innovation for how people search today
People now find answers through search engines, AI Overviews, and assistants like ChatGPT, Claude, Gemini, and Perplexity. Here’s how Yoast SEO helps search engines and AI platforms understand your content.
Make your site readable for AI
Schema Aggregation (free): Built with Microsoft NLWeb, it brings your structured data together in a standard format that’s easier to read for AI agents.
llms.txt (free): A plain-text guide, generated for you, that points large language models (LLMs) to your most important content.
Bot Blocker (Premium): Choose which AI crawlers can access your content.
Yoast SEO Abilities (free): This integration allows your AI tool to read and fix a post’s core technical SEO settings.
AI Generate: SEO title and meta description options in one click
AI Optimize: Specific fixes for SEO assessments, which you can apply, edit, or dismiss
AI Summarize: A key takeaways block for long posts
AI Content Planner: Five post ideas specifically for your site, plus a starter draft
Bulk Editor: AI-drafted metadata for your whole site, with every change yours to approve
See how AI represents your brand
Yoast SEO AI+ includes AI Brand Insights, which tracks how your brand appears in ChatGPT, Claude, Gemini, and Perplexity. See your AI Visibility Index, sentiment, and cited sources, and compare them with competitors. No tool can guarantee AI mentions, but this gives you the visibility to decide what to create next.
Schema that search engines can understand
Structured data, or Schema, shows search engines who wrote a page, which organization is behind it, and what it offers. Most plugins add some option to add structured data to your pages. The difference is how the pieces fit together.
Yoast SEO automatically builds one connected Schema graph per page. Your organization, website, pages, articles, and authors are linked in a single JSON-LD structure, the format search engines read. No setup is needed and Yoast WooCommerce SEO adds product details like price and availability to the same graph.
A consistent graph makes your site easier for search engines and AI platforms to interpret. It also makes pages eligible for rich results like breadcrumbs, though no plugin can guarantee they’ll appear.
An ecosystem that supports you
24/7 support (Premium): Help from real people, whenever you need it.
Yoast SEO Academy (Premium): Courses from SEO basics to AI for SEO, with certificates. Some courses are free for everyone.
Local, Video, and News SEO (Premium): All included in Yoast SEO Premium.
New features are exciting, while reliable updates are what keep your site running. Every Yoast SEO release is tested, PHP setups, and common plugin combinations, and built to keep your existing settings working. With more than 13 million active installations, the same plugin runs on personal blogs and large enterprise sites.
Where Yoast SEO stands out
Guidance that teaches as you write
Color-coded SEO and readability feedback in your editor, with a short explanation per assessment, in more than 20 languages. The optional inclusive language analysis helps you spot wording that could leave readers out. Premium adds multiple keyphrases, word forms, and synonyms, so you can write naturally.
Internal linking and redirects (Premium)
Yoast SEO suggests relevant pages to link to as you write. The redirect manager prompts you to create a redirect when you change a URL, and supports CSV import and export and regex. A regex pattern allows you to redirect a whole group of URLs that share a word or pattern in one single redirect.
Crawl settings
Turn off URLs, scripts, and metadata that WordPress adds automatically with the crawl settings, so search engines focus on the pages that matter. Less wasted crawling also helps reduce your site’s carbon footprint.
Which Yoast product fits you?
Plan
Best for
What you get
Yoast SEO
Anyone getting started with SEO
Real-time SEO and readability analysis, connected Schema graph, XML sitemaps, llms.txt, Schema Aggregation, bulk editor and crawl settings
Yoast SEO Premium
Entrepreneurs and in-house marketing teams
Everything in Yoast SEO, plus AI tools, internal linking suggestions, redirect manager, Bot Blocker, Local, Video, and News SEO, Yoast SEO Academy, and 24/7 support
Yoast WooCommerce SEO
Online stores on WooCommerce
Everything in Premium, plus product Schema, ecommerce content analysis, and AI-generated SEO titles and meta descriptions for products
Yoast SEO AI+
Marketers and brands who want to track AI visibility
Everything in Yoast WooCommerce SEO, plus AI Brand Insights
Yoast SEO tends to suit you if you want a plugin that explains its recommendations, structures your site for search engines and AI platforms, and comes with education and support. Switching is simple, because Yoast SEO’s import tool supports All in One SEO. Our migration guide covers each step in detail.
Make the choice that supports your growth
Choosing an SEO plugin isn’t about the longest feature list. It’s about a partner that fits how you work and keeps up as search changes. With Yoast SEO, you get guidance that teaches as you write, free AI-readiness tools, AI built into Premium, and 24/7 support, backed by more than 15 years of dependable releases.
Whichever plugin you choose, pick the one you’ll be happy to build on for years. Check out our Yoast SEO Premium page for more information on our SEO plugin and its features.
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Each month, we host the SEO Update by Yoast, covering the latest in search and AI. In this edition, Carolyn Shelby and Alex Moss discussed Google’s latest content updates, the impact of AI on search visibility, and how to adapt to the evolving digital landscape.
A study from The State of Brand highlighted the risks brands face when their information is cited on third-party platforms such as Reddit. Since LLMs are probabilistic rather than deterministic, they rely on recurring information to verify their accuracy.
Why it matters: Your brand’s messaging might be shaped by external sources, not just your own content. If negative sentiment dominates discussions about your brand on Reddit or review sites, that could be the narrative LLMs pick up.
Actionable takeaway:
Ensure your messaging is consistent and widely referenced across all platforms.
Actively engage in discussions on third-party sites to provide counter-narratives where needed.
Monitor mentions of your brand regularly and address inaccuracies.
Google says ChatGPT sends new audience to Search
AI is not replacing search but altering how people interact with it. Google reports that ChatGPT is driving new search queries, often long-tail and more specific.
Why it matters: Users are now conducting more searches than ever before, but these searches differ from traditional ones. They are more conversational and tailored to specific needs. The growth in AI-generated queries means more opportunities for your content to rank, provided it addresses niche topics.
Actionable takeaway:
Focus on creating content that dives deep into specific Subject matter and answers unique questions.
Optimize for long-tail keywords and conversational queries.
Leverage tools like Google Trends and Mark Williams Cook’s AlsoAsked to explore related topics.
Why it matters: Ads in ChatGPT could further complicate visibility for organic results. Just like Google Ads once did, paid placements may start to dominate attention within AI conversations. However, this can also be an opportunity for brands that want to ensure their content is seen.
Actionable takeaway:
Explore running ads on ChatGPT, so your brand doesn’t miss out on visibility.
Optimize your ad creatives to stand out against organic listings.
Google loses faith in low-value programmatic SEO
Google is cracking down on sites using low-value programmatic content to manipulate rankings.
Why it matters: Forget what you heard in the past; this type of content is not just unhelpful now, it is actively harmful. These pages are often created solely to rank for as many keywords as possible with minimal effort, offering little to no value to users. This approach has always been risky, and since the September 2026 core update, it is increasingly likely to backfire.
Actionable takeaway:
Audit all programmatic content on your site.
Ensure every page provides unique insights or first-person perspectives.
Back up your content with evidence, original research, or unique data.
Google deploys new AI spam detector
Google has officially launched SAFE, its new AI spam detector. This is another step in their ongoing effort to fight low-quality, auto-generated content.
Why it matters: Google is actively working to combat spammy content. This new protection is filtering out unhelpful, auto-generated content so that useful content can surface instead.
Actionable takeaway:
Review your content and remove any low-quality or auto-generated pages.
Focus on creating high-quality, user-centric content.
Why it matters: As AI answers become the norm, publishers need new ways to monetize their content. If they rely solely on traditional models, they may struggle as traffic declines. With fewer people clicking through to their sites, publishers need to find an alternative way to earn, and Google may be providing it.
Actionable takeaway:
Explore new revenue models beyond ad-based traffic.
Monitor development in AI-driven content monetization closely.
Cloudflare lets sites block AI training without blocking Googlebot
Why it matters: While this may sound tempting, it’s best to think long and hard before blocking AI from crawling your site. Blocking AI crawlers will remove your site from AI-generated answers, making your content less visible. If you’re not in those AI answers, you won’t get the traffic or the credit.
Actionable takeaway:
Weigh the pros and cons of blocking AI crawlers.
Focus on ensuring your content is well-structured and accessible so that AI systems can cite it accurately.
Why it matters: With annotations disappearing from Google Analytics and Google blocking scrapers, the tools we rely on for this data will become less reliable. This shift will likely force SEOs to adapt their strategies and rely more on alternative data sources. The insights we get from our tools will probably become more directional instead of exact.
Actionable takeaway:
Prepare clients and stakeholders for less reliable data.
Diversify your data sources so that you can cross-reference for accuracy.
Use LLMs to analyze your exports and find consistencies in your data.
Google Lighthouse adds AI agent resource discovery audit
Why it matters: This tells agents a site’s capabilities. It is expected to become increasingly important for discovery. Should you implement it? That depends on how large your site is. If your site is small, consisting of around five pages, then it isn’t necessary. However, if your site is large and complex, ARD will let agents understand what they can do with your site’s pages.
Actionable takeaway:
Decide if your business needs ARD.
If your site is large and complex, work with your development team to prioritize this.
Research finds AI mode may send fewer clicks
Research shows that AI Overviews may be sending fewer clicks to publishers.
Why it matters: If we want to be discovered, we need to rank highly and ensure our snippets pull users in. Bearing this in mind, it is now more important than ever to ensure your content is unique so that an LLM has a reason to cite you.
Actionable takeaway:
Focus on high-quality, unique content that provides genuine value.
Optimize your snippets to entice users to click.
Google Search traffic to publishers continues to decline
Google Search continues to see a drop in referrals, a trend observed across the web.
Why it matters: As the digital landscape shifts, traditional metrics like traffic are becoming less reliable indicators of success. Visibility equals success in the current environment, and you can have visibility without traffic.
Actionable takeaway:
Focus on unique, high-quality content.
Find new KPIs that accurately reflect your performance.
Analyze AI-driven insights to find out what is truly working for your business.
Google updates guidance on using generative AI content
Why it matters: Google is making it clear that using AI to create content is not inherently bad. Bad content is bad, whether humans or AI generate it. If your content offers nothing new, unique, or interesting, then LLMs already have that information. Why would they cite you?
Actionable takeaway:
Use AI to assist in creating new and interesting content.
Always review AI-generated content to ensure its accuracy.
Anthropic calls for a slowdown in AI development
The CEO of Anthropic has called for a slowdown in AI advancement, while other business leaders disagree. You can read their thoughts here and here.
Why it matters: Is this a genuine concern for safety or a strategic move to gain a competitive edge? Either way, it’s sparking crucial conversations about what the future of AI will look like.
Actionable takeaway:
Stay informed about the discussions surrounding AI development.
Consider the ethical implications of your use of AI.
Why it matters: Shopify stores that use Yoast SEO AI+ can gain a deeper understanding of how AI is portraying their brand. This allows the opportunity to adapt to any inaccuracies.
Actionable takeaway:
Try out Yoast SEO AI+ for Shopify to gain valuable insights.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-10-07 09:37:262026-10-07 09:37:26The September 2026 SEO Update by Yoast recap
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-10-05 20:01:182026-10-05 20:01:18Best Gemini SEO Agencies: Research by Onely
PR budgets could double by 2027 as brands adapt to AI-powered search.
AI systems increasingly rely on authoritative third-party sources when generating answers and recommendations.
Digital PR can help brands build visibility and credibility beyond their own websites.
Consistent earned media coverage can strengthen a brand’s authority over time.
Brands should connect digital PR with SEO and AI visibility rather than treating them as separate strategies.
For years, public relations and SEO have operated in neighboring but often separate parts of the marketing organization. AI search is beginning to change that relationship.
As AI systems become a larger part of how people discover companies, products, and services, the sources those systems rely on are becoming increasingly important. Third-party coverage from trusted publications can provide information that helps establish a brand’s credibility and authority. That shift is changing how organizations think about digital PR. New industry projections suggest PR budgets could double by 2027 as brands respond to the growing importance of AI-powered search. The underlying reason is straightforward: brands need to be visible in the places AI systems use to understand and evaluate them. For marketers, that makes earned media more than a traditional awareness channel. Consistent third-party coverage can contribute to a brand’s broader search presence while strengthening the information available about it across the web.
Why AI Search Is Increasing the Value of Digital PR
AI search changes how people encounter information. Instead of receiving a list of links and deciding which ones to visit, users can receive a synthesized answer based on information gathered from multiple sources.
AI systems need information they can retrieve and use when generating answers.
A company’s own website is an important source, but it isn’t the only one. News publications, industry websites, reviews, research organizations, and other third-party sources can provide additional context about a brand. Academic databases are a great example.
This is where earned media becomes valuable.
A company that is consistently mentioned by credible publications creates a broader information footprint than one that relies primarily on its own website. Those mentions can help reinforce what the company does, who its experts are, and where it has authority.
That doesn’t guarantee an AI system will cite any particular article. It does create more opportunities for a brand’s information to exist within the sources AI systems may encounter.
Third-Party Coverage Can Build Brand Authority
Authority is difficult to establish through a single piece of coverage.
One major publication can create awareness, but its effect can fade. A sustained presence across relevant publications creates a different type of signal.
Repeated coverage can reinforce the same core facts about a business across multiple sources. Over time, this can contribute to stronger brand recognition and a clearer understanding of the company’s expertise.
For AI visibility, that consistency matters because AI systems are constantly processing information from across the web.
Why One Media Win Isn’t Enough
The temptation in PR has often been to measure success by the biggest placement a campaign can generate. A marquee publication can certainly be valuable, but it shouldn’t be the only objective.
Credibility Compounds Over Time
A single article can introduce a company to a new audience. An ongoing stream of relevant coverage can keep reinforcing the brand.
This is particularly important for companies competing in categories where many businesses make similar claims.
Regular coverage gives journalists, customers, search engines, and AI systems more opportunities to encounter consistent information about the brand.
That makes digital PR a long-term investment rather than a series of isolated campaigns.
Consistency Creates a Stronger Information Footprint
Imagine two companies competing for visibility in the same industry.
One receives a major feature once a year. The other is regularly covered by relevant publications for research, commentary, product developments, and industry expertise.
The second company has a much larger body of third-party information surrounding it.
That doesn’t mean quantity automatically creates authority. Coverage needs to be relevant and credible. But a consistent stream of meaningful mentions gives a brand more opportunities to establish expertise and reinforce its identity.
What This Means for SEO and AI Visibility
The growing importance of digital PR creates an opportunity for SEO teams and PR teams to work more closely together.
Digital PR and SEO Should Work Together
SEO has traditionally focused heavily on a brand’s own website. Digital PR extends that strategy into the broader web.
A strong PR campaign can generate coverage that supports brand awareness, creates referral opportunities, and contributes to the overall authority surrounding a company.
At the same time, SEO research can help identify topics, publications, and audiences that are strategically important to the brand.
Combining these approaches creates a more connected approach to organic visibility.
AI Visibility Depends on More Than Owned Content
Brands have significant control over their own websites. They have much less control over what independent publications say about them.
That makes third-party coverage particularly valuable.
When a brand is consistently described by credible external sources, those sources can provide context beyond what the company says about itself. This can be especially useful when AI systems are trying to determine which businesses, products, or experts are relevant to a user’s question.
The goal isn’t to manufacture mentions. It is to build a legitimate reputation that is reflected across the web.
How Brands Can Build an Always-On Digital PR Strategy
If digital PR is becoming more important to AI visibility, brands need a strategy that goes beyond occasional campaigns.
Create a Consistent Flow of Newsworthy Ideas
An always-on program starts with having something worth talking about.
Brands can develop stories around original research, customer trends, proprietary data, expert commentary, product developments, and broader industry changes.
Not every idea needs to become a major campaign. The goal is to consistently identify useful information that journalists and audiences would find valuable.
Build Relationships With Relevant Publications
Distribution alone isn’t enough.
Brands should identify publications and journalists who regularly cover their industry and develop relationships with them over time.
This makes it easier to provide useful expertise when relevant stories emerge rather than approaching media outlets only when the brand has something it wants promoted.
Measure the Cumulative Impact
An always-on strategy should be evaluated differently from a campaign built around one major placement.
Track the growth of relevant coverage over time alongside brand visibility, branded search, referral traffic, and other meaningful indicators.
For AI visibility, also monitor how frequently the brand appears in relevant AI answers where measurement is possible.
The objective is to understand the cumulative effect of sustained authority building.
PR Investment Is Becoming an AI Visibility Investment
The growing importance of AI search is changing the role of PR.
Brands still need traditional media coverage because journalists and publications reach real audiences. But those same sources can also contribute to the information ecosystem that AI systems use to understand brands.
That makes earned media increasingly relevant to search strategy.
The strongest competitive advantage in AI search is consistency, not a single media win. Credibility compounds through ongoing earned coverage that reinforces brand authority over time.
The implication for marketers is significant. PR budgets shouldn’t be viewed only through the lens of immediate media impressions. The long-term value of consistent coverage can extend into brand authority, organic visibility, and AI discovery.
How to Prepare for the Shift in PR Investment
Brands don’t necessarily need to abandon existing PR programs. Instead, they should consider how those programs can support broader search and visibility goals.
Connect PR Goals with Search Goals
PR and SEO teams should identify the topics, entities, and areas of expertise that matter most to the brand.
Those priorities can then inform media outreach and content development.
A company trying to establish authority in a particular category, for example, can build an ongoing PR program around the research, expertise, and commentary that supports that position.
Prioritize Quality and Relevance
More coverage isn’t automatically better.
A mention from an irrelevant or low-quality source may contribute little to a brand’s authority. The strongest opportunities are publications and sources that are relevant to the industry and trusted by the audiences the brand wants to reach.
Make Digital PR an Ongoing Investment
The biggest change may be moving away from one-off PR campaigns.
An always-on digital PR program gives brands more opportunities to build relationships, publish useful information, and earn coverage throughout the year.
That sustained activity can create a stronger foundation for organic visibility as search continues to evolve.
The Future of PR Is Connected to Search
AI is changing how brands are discovered, and PR is becoming part of that discovery process.
Third-party coverage gives AI systems additional information about brands while giving consumers independent sources they can use to evaluate a company. Over time, a consistent stream of relevant coverage can help strengthen the brand’s authority across the web.
This doesn’t mean every PR placement will result in an AI citation. It means brands should recognize that the value of earned media can extend beyond the publication’s immediate audience.
The brands that invest consistently in credible coverage will have more opportunities to establish authority as AI search becomes a larger part of how people find information.
FAQs
Why is AI changing PR budgets?
AI search is increasing the importance of authoritative third-party information. As AI systems use external sources to understand and answer questions about brands, organizations are placing greater emphasis on earned media and digital PR as part of their broader visibility strategies.
How does digital PR help with AI visibility?
Digital PR can generate credible third-party coverage that provides additional information about a brand across the web. This can contribute to the broader information ecosystem AI systems use when understanding brands, although coverage doesn’t guarantee an AI citation.
Is earned media becoming more important for SEO?
Earned media can complement SEO by building authority and visibility beyond a company’s own website. Relevant third-party coverage can strengthen brand recognition and provide additional sources of information for search and AI systems.
What is an always-on digital PR strategy?
An always-on strategy continuously identifies opportunities for relevant media coverage throughout the year instead of relying on occasional campaigns. It can include original research, expert commentary, industry insights, and other newsworthy material.
Conclusion
AI search is changing how consumers discover and evaluate brands, and that shift is increasing the strategic value of digital PR.
Third-party coverage can give AI systems additional sources of information while helping consumers validate a brand’s expertise and credibility. A single major placement can create valuable exposure, but consistent coverage can build a much stronger information footprint over time.
For marketers, this means PR and SEO should increasingly work toward the same visibility goals. Building an always-on digital PR program can create a steady stream of earned media that supports brand authority while contributing to a broader AI visibility strategy.
The brands that treat PR as an ongoing investment in credibility will be better positioned as AI search continues to reshape how people discover businesses.
If you want to build an always-on digital PR strategy that supports both traditional search and AI visibility, reach out to the NP Digital team to learn how earned media can fit into your broader organic strategy.
Brands recommended by ChatGPT were 2.5x more likely to receive a website visit within seven days, according to Similarweb research.
Most AI-influenced visits did not arrive through an identifiable AI referral.
More than half of AI-influenced visits arrived through search, meaning the AI influence can look like ordinary organic traffic in analytics.
Last-click attribution can therefore underestimate the role AI plays in brand discovery and consideration.
Marketers need broader measurement frameworks that account for AI’s influence across the customer journey.
AI search is becoming an increasingly important way for consumers to discover brands. But measuring its impact is proving much harder than measuring a traditional referral.
A user might ask ChatGPT for a product recommendation, see a brand mentioned, and then search for that brand on Google several days later. Analytics will record the eventual visit, but it may have no way of knowing that an AI recommendation helped start the journey.
New research from Similarweb highlights the scale of this measurement gap. Brands recommended by ChatGPT were 2.5x more likely to receive a website visit within the following seven days, even when there was no direct referral from the AI platform.
The finding suggests that AI visibility can influence traffic without appearing as AI traffic in a standard analytics report.
For marketers, that’s an important distinction. If AI is influencing customers before they reach a website, measuring only the final click can make the channel look less valuable than it actually is.
What Similarweb Found About AI’s Downstream Impact
Similarweb’s research tracked real user journeys to understand what happens after a brand is recommended in ChatGPT.
AI Recommendations Can Lead to More Website Visits</h3>
Similarweb followed users who asked ChatGPT an industry-related question and received a specific brand recommendation. It then tracked their behavior over the following seven days.
Across finance, travel, and beauty, users who received an AI recommendation for a brand were 2.5x more likely to visit that brand’s website than users who received a recommendation for a competing brand.
The research focused on users who had not previously visited the recommended brand and had not already mentioned that brand in their prompt. This helped Similarweb measure the downstream effect of a recommendation rather than simply tracking people who already knew about a company.
The result provides a useful signal for marketers investing in AI visibility. Being mentioned in an AI answer can influence what consumers do afterward, even when the AI platform doesn’t send the eventual website visit.
Most of the Traffic Doesn’t Look Like AI Traffic
This is where traditional measurement becomes complicated.
Similarweb found that 55.9% of AI-influenced visits arrived through search, compared with 40.4% of visits without AI influence.
In practice, that means a user could see a brand recommendation in ChatGPT, remember the name, and later search for it on Google.
That visit would likely be attributed to organic search.
The AI interaction that helped create the interest would receive no credit.
This is the core AI attribution problem. The measurable traffic is real, but the original source of influence can disappear somewhere between discovery and conversion.
Last-click attribution works reasonably well when a customer journey is relatively direct. But discovery through AI can introduce additional steps that aren’t captured by traditional referral reporting.
The AI Interaction Happens Before the Measurable Visit
Consider a simple journey.
A consumer asks an AI platform which software tools are best for their business. The platform recommends a brand. The consumer doesn’t click a link. Instead, they continue researching, then return to Google two days later and search for the brand by name.
From an analytics perspective, the final visit may look like a branded organic search.
From the customer’s perspective, however, the journey started with AI.
This distinction matters because the first interaction helped put the brand into consideration.
AI Visibility Can Influence Branded Search
Branded search is often treated as a direct expression of existing brand awareness. Similarweb’s findings suggest there can be another layer behind some of that demand.
If a consumer discovers a brand through AI search and later searches for it directly, the branded query becomes the measurable part of a journey that began elsewhere.
That doesn’t mean every increase in branded search should be attributed to AI. Similarweb’s research shows an association between AI recommendations and later visits, rather than proving that every subsequent visit was directly caused by the recommendation.
The broader point is that marketers need to account for influence that happens before the click.
What This Means for SEO and GEO
The attribution challenge creates a particular problem for SEO and GEO. Both strategies increasingly involve earning visibility before a user visits a website.
AI Visibility Is Becoming Part of Brand Discovery
A brand doesn’t need to receive a referral from an AI platform to benefit from appearing in its answers.
The recommendation itself can influence consideration. Similarweb found that AI-influenced visitors also engaged more deeply after arriving, viewing nearly twice as many pages and spending roughly twice as much time on site as other visitors.
That makes AI visibility more than a visibility metric. It can be an early-stage influence on the customer journey.
SEO Attribution Needs a Broader View
The same principle applies to SEO.
A customer may discover a brand through an AI answer, search for the brand through Google, and eventually convert through another channel. A last-click report may assign credit to the final interaction without showing how earlier discovery contributed to the decision.
This doesn’t make existing attribution models useless. It means marketers should be cautious about using them as the only measure of SEO or GEO performance.
How Marketers Can Measure AI’s Influence
The solution isn’t to invent a perfect AI attribution model overnight. Instead, marketers can start looking for signals that appear downstream from AI visibility.
Track Branded Search Alongside AI Visibility
Monitor changes in branded search demand alongside your visibility in AI answers.
If AI visibility increases and branded search, direct traffic, or other downstream indicators change at the same time, that can provide useful context.
These metrics shouldn’t be treated as proof of causation, but they can help reveal relationships that referral reporting misses.
Look Beyond Referral Traffic
AI referral traffic is still worth tracking, but it represents only one part of the picture.
Marketers should also consider direct visits, branded search growth, engagement, and downstream conversions when evaluating the potential impact of AI visibility.
The goal is to understand whether appearing in AI answers is contributing to meaningful customer behavior, even when the final visit arrives through another channel.
Build Measurement Around the Customer Journey
AI can influence a customer before they ever interact with a brand’s website.
That means measurement needs to account for discovery, consideration, and eventual conversion rather than focusing exclusively on the final interaction.
AI shapes the decision before the click, so marketers need measurement models that value influence, not just last click attribution.
AI Influence Is Bigger Than the Referral in Your Analytics
Similarweb’s research offers an important reminder about the limits of conventional analytics.
A brand recommendation in ChatGPT can lead to a website visit days later, but that visit may arrive through Google or directly through the brand’s website. The measurable interaction is there. The original influence isn’t.
That creates a challenge for marketers trying to evaluate the business case for AI search, SEO, and GEO.
As AI becomes a larger part of how people research products and services, brands will need to measure more than direct referrals. Visibility can influence what customers remember, search for, and eventually choose.
FAQs
What is AI attribution?
AI attribution is the process of measuring how exposure to AI-generated recommendations or answers contributes to later customer actions, such as website visits, branded searches, or conversions.
Why is AI attribution difficult?
AI platforms may influence users without generating a trackable referral. A person can discover a brand through an AI answer and later visit the website through branded search or direct traffic, making the original influence difficult to identify in standard analytics.
Does AI visibility drive website traffic?
Similarweb found that users who received a brand recommendation in ChatGPT were 2.5x more likely to visit that brand’s website within seven days. The majority of AI-influenced visits arrived through search rather than a direct AI referral.
How should marketers measure AI visibility?
Marketers should look beyond AI referral traffic and monitor related signals such as branded search, direct traffic, engagement, and downstream conversions. These metrics can provide additional context around the influence of AI visibility.
Conclusion
AI is becoming an important part of how consumers discover and evaluate brands, but traditional analytics aren’t always equipped to show its full impact.
Similarweb’s research demonstrates why. Brands recommended by ChatGPT were more likely to receive a website visit within seven days, yet much of that activity appeared as search traffic rather than an AI referral.
For marketers, the takeaway is to treat AI visibility as part of the customer journey rather than simply another traffic source. Tracking branded search, direct visits, engagement, and conversions alongside AI visibility can provide a more complete picture of how AI influences demand.
As AI search continues to grow, the brands that can connect visibility with downstream behavior will be better positioned to understand the value of their SEO and GEO investments.
If you want to better understand how AI visibility is influencing your organic performance, reach out to the NP Digital team to build a measurement strategy that looks beyond the last click.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-10-02 16:00:002026-10-02 16:00:00What’s Making AI Impact Difficult to Measure for Marketers?
Yoast SEO AI+ for Shopify is live today. The new plan combines Yoast SEO for Shopify with Yoast AI Brand Insights, giving you visibility into how AI systems like ChatGPT, Gemini, Claude, and Perplexity describe your brand, alongside everything you already rely on for search.
Why now
More shoppers are starting their search with AI these days, not just Google. Shopify has seen this firsthand: in Q1 2026, AI-driven traffic to Shopify stores grew 8x year over year, and orders from AI-powered search grew nearly 13x (Shopify, “How Agentic Commerce Works,” 2026).
That doesn’t mean checkout itself has moved to AI, at least not yet. OpenAI closed ChatGPT’s Instant Checkout back in March. What’s actually happening is simpler: AI is helping people discover and compare products, and then they come to your store to buy. AI is becoming a new way for shoppers to find you. Your store is still part of where that relationship builds, alongside social and everything else that shapes how your brand comes across, and it’s still where the sale happens.
That’s why it’s worth knowing what AI is already saying about your brand, before a shopper ever reaches your site. That’s what Yoast SEO AI+ for Shopify helps you do.
Your products have a new audience: AI
See the pitch it’s making. Shape the narrative to your advantage.
Yoast SEO AI+ for Shopify gives you structured data and technical SEO so your products are read correctly, and Yoast AI Brand Insights so you can see how your brand comes across once shoppers arrive.
What’s new
Yoast SEO AI+ for Shopify combines Yoast SEO for Shopify with Yoast AI Brand Insights. Everything you already rely on, product SEO, structured data, technical SEO, is still there. What’s new is visibility into the layer before the sale: how AI systems describe your brand before a shopper ever reaches your store.
With AI Brand Insights, you can:
See your brand’s AI Visibility Index score
Know whether AI speaks positively about you, with sentiment tracking
See how you compare to competitors in AI
See which sources AI is citing when it talks about you
Run scans across ChatGPT, Gemini, Claude, and Perplexity, then decide what to do with what you find. AI Brand Insights shows you the story AI is telling about your brand. It doesn’t write it for you. That part is still yours.
What’s included
Yoast SEO AI+ for Shopify is the complete product visibility plan: everything in Yoast SEO for Shopify, plus AI Brand Insights. You can compare the plans here.
Pricing
Yoast SEO AI+ for Shopify is $45/month or $450/year, with a 14-day free trial.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-10-01 12:30:582026-10-01 12:30:58Introducing Yoast SEO AI+ for Shopify
1 billion downloads of Yoast SEO. That’s a milestone worth celebrating.
But behind that number are the people who made it possible: the bloggers who wanted more people to find their content, the businesses working to grow online, the agencies helping their clients succeed, and the countless people who simply wanted a little help with SEO.
Over the years, Yoast SEO has been part of millions of these journeys. Some people have been using it for more than a decade, while others have only recently discovered it. So, as we celebrate 1 billion downloads, we wanted to hear from the people behind the number and look back at what Yoast SEO has meant to them.
This milestone belongs to you. Thank you for being part of the journey.
What our users told us
We recently rolled out a short survey to our users, asking them to share how Yoast SEO has been part of their SEO journey. (If you’re a Yoast user, you may have even received it in your inbox.) We heard from people at very different stages from a WordPress agency that has been using Yoast since its early days to people who discovered it more recently.
Here are a few of the stories they shared with us.
More than a decade of making SEO accessible
One respondent is part of a WordPress agency in Montreal that has been using Yoast SEO for more than a decade. The agency installs Yoast SEO by default for its clients and says it has helped make SEO more accessible:
“As a pioneering WordPress agency based in Montreal, Canada, we’ve been using Yoast since its inception and install it by default for all our clients. Yoast played a key role in raising awareness and making the SEO strategy for a WordPress project more accessible.”
Their favorite feature? The Yoast SEO Meta Box.
Building a website with confidence
Another respondent started using Yoast SEO less than a year ago, after building an author website and looking for help with SEO. They particularly appreciated the setup process and the guidance built into the plugin:
“The easy-to-follow setup steps, along with the built-in features to let you know if the SEO for your webpage checks all the boxes, have allowed me to build it with confidence.”
The traffic-light feedback was a particular favorite, giving them a simple way to understand how their SEO and readability were shaping up as they built their site.
Making SEO accessible to non-experts
A third respondent came to Yoast SEO while rebuilding a website where the SEO work had to be handled by people who weren’t SEO experts. For them, the value was straightforward: understanding what needed to be done and being able to do it.
“It had to be done by non-SEO experts so the ability to understand what to do and then do it meant Yoast SEO had to be useful. It is useful. Very useful and our business has improved because of it.”
They also appreciated something that goes beyond the familiar green, orange, and red indicators. Yoast’s guidance and articles helped them understand that SEO isn’t always about making everything green, a perspective that made the tool feel more like a trusted guide than a checklist.
And these aren’t the only stories….
The stories shared by our users are just a small glimpse into how Yoast SEO has been part of people’s journeys. Over the years, we’ve heard from many more website owners, content creators, and agencies who have shared their experiences with us. Here are a few words from them:
“Yoast has always been our go-to SEO solution for our website and client website projects for over a decade.” — Mark Baldwin, Director at Baldwin Digital
“Yoast is now our most valuable app. It saves our team a lot of time writing SEO-optimized content.” — Andrea Oswald, Managing Director at Age Suit Germany
“Yoast has helped us spread the word to everyone we work with about how important SEO is.” — Dan Atrill, Director at DJA Online Services Limited
“Yoast has been an enormous help with helping us focus our content around the right keywords, changing our site structure and giving nudges when something needs improving.” — Jon, cakebakerecipes
“This has helped me improve the traffic on my website by 10 folds, but we started ranking on the 1st page of Google on the majority of our searches.” — Sunny Choudhary, PortraitFlip
These are just a few of the experiences people have shared with us. You can read more on our testimonials page.
And while we’re grateful for every kind word, we’re equally thankful to everyone who has shared feedback, asked questions, or helped us improve Yoast SEO along the way. You’ve all played a part in getting us to 1 billion downloads.
So, why do people use Yoast SEO?
Looking at these stories, a few things stand out. People use Yoast SEO for different reasons, but there’s a common thread: it helps make SEO easier to understand and easier to do.
For some, it’s a way to learn the basics and get a little guidance as they build their website. For others, it’s a familiar part of their day-to-day workflow, helping them optimize content without having to be an SEO expert.
A few themes come up again and again:
It makes SEO more approachable. You don’t need to be an SEO professional to understand what needs attention on your pages.
It gives you guidance while you work. The feedback in the editor helps you spot areas for improvement as you create or update content.
It takes care of important technical SEO. Things like XML sitemaps, canonical URLs, structured data, and redirects can be handled without having to manage everything yourself.
It helps people learn along the way. Yoast’s analysis, articles, documentation, and other educational resources have helped many users better understand SEO itself.
And perhaps that’s one of the most meaningful things about reaching 1 billion downloads: Yoast SEO has been used by people at very different stages of their SEO journey. Some needed a starting point, some needed a helping hand, and others have been using it as part of their workflow for years.
But we wondered: if we asked AI what people think about Yoast SEO, would it come up with the same themes?
We also asked AI what people think about Yoast SEO
We couldn’t resist asking AI, too. So we gave Gemini, Claude, Grok, and Perplexity the same two questions: Why do people love the Yoast SEO plugin? and What are people’s reviews of Yoast SEO?
Their answers were different, but a few familiar themes kept popping up: making SEO easier to understand, providing helpful guidance, and handling the technical stuff.
In other words, the AI found many of the same things our users told us themselves. We won’t let the robots take all the credit, though. The real stories are still the best part.
SEO for everyone: Thank you for being part of 1 billion downloads
A billion downloads is a huge number, but what makes this milestone special is the people behind it. Every download represents someone working on a website, creating something new, learning about SEO, growing a business, or simply trying to help more people find their content.
Over the years, you’ve used Yoast SEO in countless different ways. You’ve shared your experiences, asked questions, given us feedback, and helped us improve the product. Some of you have been with us for more than a decade, while others have only just started their SEO journey.
And that’s what SEO for everyone means to us. Not just making SEO tools available to everyone, but helping people at every stage feel that SEO is something they can understand and use.
So, whether you were download number one or somewhere among the billion that followed, thank you. Thank you for trusting Yoast SEO, for learning with us, and for being part of our journey.
Here’s to the next billion — and to making SEO for everyone.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-10-01 11:42:142026-10-01 11:42:141 billion downloads: The people and stories behind Yoast SEO
