Yoast’s new AI features make SEO management easier and introduce brand visibility monitoring. But are businesses getting better tools or better answers?
Yoast’s new AI features make SEO management easier and introduce brand visibility monitoring. But are businesses getting better tools or better answers?
It seems like every marketing platform is adding AI features right now. Some help teams write faster, others automate repetitive tasks, and increasingly, we’re seeing tools that promise to show businesses how visible they are in AI search. There’s real value in these developments, but I think it’s worth asking whether all this new functionality is addressing the problems businesses are actually trying to solve.
Yoast SEO is a good example of where the industry is heading. The company has introduced new AI capabilities to its popular WordPress plugin and expanded into monitoring how brands appear in AI search results. But for businesses wondering why competitors are showing up in AI recommendations while they’re being overlooked, the real question is whether these new features can help them understand what’s happening and, more importantly, what they can do about it.
In its September 29, 2026 release, Yoast expanded functionality allowing compatible AI agents to work with SEO information in WordPress. Its October 13 update added the ability for those agents to update SEO titles and descriptions. For businesses managing large websites, these developments could reduce the time spent reviewing metadata and making repetitive changes.
That’s useful, especially for marketing teams responsible for hundreds of pages. But improving the efficiency of website maintenance doesn’t necessarily improve a company’s chances of appearing in AI-generated recommendations. A business could update every meta description on its website and still be absent when someone asks an AI assistant to recommend a provider in its industry. The website might be better organized, but the reasons behind that lack of visibility haven’t been addressed.
Yoast’s approach goes beyond its WordPress plugin. Its separate AI Brand Insights product examines how brands appear across AI platforms, including mentions, citations, sentiment and competitor visibility. Rather than focusing exclusively on what a business publishes, it helps marketers investigate what AI-generated answers say about their companies.
This is arguably the more interesting development because it begins to address a problem businesses haven’t traditionally measured. A company might discover that competitors appear more frequently in certain answers, or that particular publications are repeatedly cited when AI platforms discuss its industry. Those findings can reveal gaps that aren’t obvious in conventional SEO reporting.
However, AI Brand Insights analyzes selected questions on a schedule, not every answer an AI platform generates. The results provide a useful sample, but they aren’t a complete picture of AI visibility.
The challenge extends beyond Yoast. According to Meltwater’s September 2026 AI Search Visibility Report, published in October, the company analyzed approximately 6.1 million citations across eight AI platforms. Its findings showed that earned media and news sources increased their share of the measured citation mix from 29.4% in August to 35.6% in September, while citation patterns continued to vary between platforms.
Those findings are interesting because they suggest businesses shouldn’t assume that visibility in one AI environment translates directly to another. They also reinforce why information published outside a company’s own website deserves attention. A well-optimized service page may explain what a business does, but independent reporting, industry coverage and other credible sources can provide additional context about its expertise.
Still, citation data has limits. Being referenced by an AI assistant isn’t necessarily the same as being recommended, and an increase in mentions doesn’t automatically produce more customers. Understanding whether that visibility matters requires examining the questions being asked and the context of the answers.
Imagine a Kansas City business reviewing its AI visibility results and discovering that three competitors consistently appear when potential customers ask for recommendations. Its website is technically sound, its content is current and its traditional SEO performance looks reasonably healthy. Yet when AI platforms assemble their answers, the company rarely makes the list.
Rather than immediately producing more articles, I’d start by examining the sources AI platforms cite, the evidence competitors provide and the questions customers are actually asking. Sometimes the gap comes down to stronger case studies or industry coverage. Other times, the business simply hasn’t explained its expertise clearly enough for customers or AI systems to understand what makes it different.
These are the kinds of findings that should shape an AI Authority strategy. The objective isn’t simply to generate more content or accumulate citations. It’s to develop credible, consistent evidence of a company’s expertise, both on its website and across relevant outside sources. Understanding what it means to be visible in AI search is part of that process, but the real work involves improving existing information, documenting experience and earning meaningful industry coverage. None of it guarantees an AI recommendation, but it gives marketers a more useful direction than trying to improve a dashboard score without understanding what drives it..
Yoast remains a useful product, and its newer capabilities reflect legitimate changes in how businesses manage and measure their online presence. But before investing in another AI marketing subscription, businesses should understand what they’re actually buying and what they plan to do with the information it provides.
If a report shows that competitors are consistently recommended while your business is overlooked, someone needs to investigate why, identify what can realistically be improved and take responsibility for making those changes. Some platforms may offer recommendations or additional analysis, but businesses still need to evaluate whether those recommendations are supported by evidence and whether anyone is responsible for acting on them.
That’s the distinction I’d encourage marketing teams to make. A company can invest in sophisticated AI software, collect detailed visibility reports and still make very little progress if those findings never influence its marketing strategy. Understanding how your business appears in AI search is valuable, but the real opportunity comes from using that information to make better decisions about your content, reputation and overall AI Authority.
Zoe Jewell is Managing Director at Fireball Agency, a Kansas City-based marketing agency helping businesses build AI authority and visibility. Connect with Zoe on LinkedIn.
Zoe brings together creativity, technology, and execution to turn ideas into results. She has led content teams, helped develop websites, apps, and Chrome extensions, and contributed to digital campaigns that have generated millions of customer interactions. At Fireball, she keeps strategy moving from concept to completion.
