Most businesses continue to assess their SEO based on keyword rankings. You select a specific phrase, create a page for it, monitor as its ranking improves. Although this strategy was effective ten years ago, it is not the best approach nowadays. Search engines today are completely different in terms of how they understand and manage queries. Thus, this is not an effective strategy for today’s search engine environment.
From keyword matching to intent matching
When a user enters the phrase “best project management software for remote teams,” they probably have a more specific intent rather than just being presented with a list of options. These users are likely in the decision-making stage, they are past the awareness phase, and are looking to compare and evaluate alternatives to make a decision. The exact wording of the keyword is usually not the main focus, the user’s problem or question is.
Google’s BERT and MUM models are designed to understand this. They leverage natural language processing to interpret the context of a query which means they can understand a search query conversationally rather than just looking for specific words. This shift values content that satisfies the query as a whole more than content that simply includes the search term multiple times.
Intent-matching means building pages around what someone is actually trying to accomplish. That might be a single page. More often, it’s a cluster of interconnected content that signals topical authority across an entire subject area rather than targeting isolated terms.
Why topical authority beats keyword volume
A single well-ranked keyword page is fragile. A content cluster that covers every meaningful angle of a topic isn’t. When your site has a comprehensive guide, supporting articles, FAQs, and case-specific content all linking into each other, search engines don’t just rank one page – they start associating your domain with the subject itself.
This is the topical authority model, and it’s one of the clearest ways business SEO has shifted. It’s not about how many keywords you’ve covered. It’s about whether a search engine’s E-E-A-T evaluation – experience, expertise, authoritativeness, trustworthiness – would point to you as the most credible source on the topic.
That credibility signal matters even more now that generative AI is being folded into search results. When Google’s SGE or ChatGPT summarizes an answer at the top of a page, it’s pulling from sources it treats as authoritative. Being cited in that summary is more valuable than holding a ranking position that gets scrolled past.
The zero-click reality and what it means for visibility
A stat that may already have done that for you: roughly 25.6% of desktop searches and 17.3% of mobile searches currently end with zero-clicks. The answer is right there on the results page. No click necessary.
That number will only rise in the years to come.
This isn’t a time for concern though. It’s a time to completely re-evaluate how we view ‘visibility’. A brand that provides the precise answer to a question on a plate in a featured snippet has cut out the middle man between them and the consumer: in the short term, of course, that means your website. In the long term, it can still mean easy brand recall and the trust that comes from knowing you give the right answer. When the user’s question changes to “who can I trust to help me buy this product?” or “who’s the best company to handle solution implementation of this answer?”, the answer to that question will be firmly lodged in their mind too.
Structured data (or, more precisely, in this context, schema markup) is how you communicate directly with search engines and provide them with the key, digestible data that they need to power these kinds of rich results. Miss out on it, and you’re simply forfeiting those opportunities to a competitor with the forethought to present their data in exactly the right way to the bots as well as the humans.
Question-based content and the voice search gap
Voice queries are structurally different from typed ones. Nobody says “best accountant London” to a smart speaker. They ask “who’s the best accountant near me for a small business?” That conversational phrasing is longer, more specific, and much closer to transactional intent.
Content that’s built around question formats – Who, What, How, Why – captures this traffic naturally. It also maps well to featured snippets and the kind of direct-answer formats that AI-driven search surfaces at the top of results pages.
Industries where client questions are high-stakes and complex are learning this faster than most. Legal services is a clear example. Someone searching for legal help isn’t typing in broad terms – they’re asking specific questions with real urgency behind them. That’s why answer engine optimization for law firms has become a distinct strategic focus. The firms that structure their content to answer the exact questions prospective clients are asking are the ones getting cited as sources in AI-generated results, not just ranked on page one.
Authority over rankings
The change happening in this case is not small. If your business SEO is solely based on the number of keywords, you get traffic that is not profitable and ranks that disappear after the algorithm changes. However, if you develop your authority on specific topics; create reliable content that responds effectively to actual issues, and has a format that can be understood by both individuals and search engines, it will take more time, but the results will be cumulative.
In fact, rankings are a consequence of that. Companies that keep trying to obtain the highest rankings are losing ground.
