SEO Is Not Dying. It’s Splitting Into Two Different Disciplines
The future of SEO is not a single path forward. It is two disciplines that are quietly separating: one focused on earning visibility in AI-generated answers and zero-click environments, the other on building the kind of authoritative, community-rooted content that search engines and people still trust above everything else. The practitioners who understand this split will adapt. Those waiting for one clear signal will find themselves behind.
That is not a provocative forecast. It is what the data and the product decisions at Google, Bing, and Perplexity are already showing. The question is not whether SEO will survive. It is which version of SEO your business is actually investing in.
Key Takeaways
- SEO is splitting into two disciplines: AI-answer optimisation and authority-driven content, and most strategies are not built for either.
- Zero-click search is not new, but the scale of it in AI-powered results changes the commercial logic of organic traffic entirely.
- The brands that built genuine topical authority before the shift are outperforming those who chased volume with thin content.
- Technical SEO is not going away, but it is becoming table stakes rather than a competitive advantage.
- The SEO industry has a credibility problem it created itself, and the businesses that ignored the hype are in better shape now.
In This Article
- What Is Actually Changing in Search Right Now?
- Is Technical SEO Still Worth the Investment?
- What Does Topical Authority Actually Mean in 2025 and Beyond?
- How Should Businesses Think About AI and SEO Together?
- What Happens to Link Building as a Practice?
- Is Local and Vertical SEO Behaving Differently?
- What Does a Commercially Sound SEO Strategy Look Like Going Forward?
What Is Actually Changing in Search Right Now?
Search is not broken. It is being restructured around a different commercial model. Google’s AI Overviews, Bing Copilot, and the rise of answer-first interfaces like Perplexity are changing where users stop scrolling, not whether they search. People are still searching in enormous volumes. They are just finding answers earlier in the process, which means fewer clicks reach the pages that used to capture that traffic.
This matters commercially. If you built a business model on organic traffic converting to leads or sales, and that traffic was largely informational, you are already feeling the compression. The shift in consumer search behaviour has been building for years, but the acceleration of AI-generated answers has made it impossible to ignore.
When I was running iProspect and managing large-scale SEO programmes across multiple verticals, we used to talk about the difference between traffic and intent. A lot of SEO investment was going into capturing informational queries that never had strong commercial intent to begin with. The argument was always that it builds brand awareness and top-of-funnel reach. That argument has not aged well. If a user gets their answer from an AI summary and never reaches your page, the awareness value of that content drops considerably.
The businesses that are least affected are the ones that were never over-reliant on informational content as a primary acquisition channel. They used SEO as one part of a broader commercial strategy, not the entire foundation. That distinction is worth sitting with.
Is Technical SEO Still Worth the Investment?
Yes, but the return profile has changed. Technical SEO, which covers crawlability, site architecture, page speed, structured data, and indexation, used to be a genuine differentiator. If your site was technically clean and your competitors were not, you had a meaningful edge. That gap has closed. Most competent development teams now build with Core Web Vitals and crawl efficiency in mind. The floor has risen.
What this means in practice is that technical SEO is now a hygiene requirement rather than a growth lever. You need it to compete. You will not win on it alone. The businesses that are still treating a technical audit as a strategic initiative are solving a problem that may not be their primary constraint.
I have sat in enough agency pitches, and later judged enough award entries at the Effies, to know that technical SEO work gets presented as more significant than it usually is. A site migration that preserves rankings is a success, not an achievement. Fixing crawl errors is maintenance. The industry has a habit of packaging maintenance as innovation, and clients have sometimes been too deferential to challenge it. The SEO industry’s credibility problem is partly self-inflicted for exactly this reason.
Structured data is the one area of technical SEO that genuinely matters more now than it did three years ago. Schema markup, entity associations, and clean data signals help AI systems understand and cite your content. If you are investing in technical SEO today, that is where the marginal return is highest.
If you want a grounded framework for where technical work fits within a complete programme, the SEO strategy hub covers the full picture without the hype.
What Does Topical Authority Actually Mean in 2025 and Beyond?
Topical authority is one of those phrases that the SEO industry picked up and started using loosely, which usually means it is pointing at something real but getting obscured by overuse. In this case, the underlying concept is sound: search engines are increasingly good at identifying whether a site has genuine depth and credibility on a subject, not just surface-level keyword coverage.
The practical implication is that a site covering twenty topics with moderate depth is less likely to rank well for any of them than a site covering five topics with real substance. This is not new thinking. Content depth has been central to large-site SEO for over a decade. What is new is how aggressively Google’s systems now reward demonstrable expertise and penalise sites that spread themselves thin for traffic volume.
When I grew iProspect from a team of 20 to over 100 people, one of the harder commercial decisions was saying no to clients who wanted broad content programmes that covered everything loosely. The temptation is always there because volume feels like progress. But the clients who saw the strongest long-term organic performance were the ones who committed to genuine depth in their core subject areas, even when it meant slower early growth. That pattern has only become more pronounced.
Topical authority also increasingly includes community signals. How a brand is discussed, cited, and referenced across the web matters to search engines beyond just backlinks. Building community through SEO is not a soft or secondary objective. It is increasingly part of how trust is established in search systems that are trying to identify genuine expertise rather than manufactured signals.
How Should Businesses Think About AI and SEO Together?
There are two separate questions here that keep getting collapsed into one. The first is how AI changes search behaviour and therefore what you optimise for. The second is how AI tools change the production of SEO content. They are related but distinct, and conflating them leads to poor decisions.
On the first question: AI-generated search results, whether from Google’s AI Overviews or standalone tools like Perplexity, pull from sources they assess as credible, well-structured, and authoritative. The optimisation logic is not fundamentally different from traditional SEO, but the emphasis shifts toward clear factual statements, strong entity associations, and content that directly answers specific questions. The sites that get cited in AI summaries are not gaming the system. They are the sites that built genuine depth before the system changed.
On the second question: generative AI in SEO content production is a real efficiency tool, but it is not a strategy. I have seen agencies pitch AI-generated content at scale as a growth solution, and it can be, but only when it is built on a clear content architecture, strong editorial oversight, and a genuine point of view. AI that produces volume without those foundations just accelerates the production of content that will not rank and will not convert.
The businesses using AI well in their SEO programmes are using it to support research, to draft at speed, and to handle repetitive structural work. They are not using it to replace the judgement about what to write, why it matters, and who it is for. That judgement remains entirely human, and it is where most of the value sits.
What Happens to Link Building as a Practice?
Link building is not going away, but the version of it that dominated agency services for fifteen years is already in decline. The practice of acquiring links through outreach campaigns, guest posting networks, and digital PR for the sole purpose of passing PageRank is producing diminishing returns. Google’s systems are better at identifying manufactured link profiles than they were, and the penalties for getting it wrong are more severe.
What is replacing it is not a new tactic. It is the older, harder version of the same idea: earn links by producing content, data, or tools that people genuinely want to reference. That is harder to scale, slower to show results, and more expensive to do well. It is also more durable and less likely to be reversed by an algorithm update.
I spent years managing agencies where link building was a significant revenue line. The honest assessment is that a lot of that work was marginal at best and actively harmful at worst. The clients who asked hard questions about what we were actually building, and whether it would hold up in two years, were the ones who ended up with stronger programmes. The ones who just wanted the numbers rarely had good outcomes when Google tightened its systems.
The future of link acquisition is closer to brand building than it is to traditional SEO. If your content is cited because it is the best available source on a subject, that is a link profile that compounds. If it is cited because someone agreed to swap mentions, it is a liability.
Is Local and Vertical SEO Behaving Differently?
Yes, and this is one of the more interesting fault lines in the current landscape. While broad informational SEO is being compressed by AI summaries, local and vertical search is holding up considerably better. A user searching for a plumber, a restaurant, or a specialist service in a specific city is not well served by an AI-generated answer. They need current, location-specific information that AI systems are not well positioned to provide reliably.
This means the commercial logic of local SEO investment is actually stronger now than it was three years ago, not weaker. Google’s local pack, Maps, and review signals remain high-intent touchpoints that AI has not disrupted in the same way as informational content. For businesses with a physical presence or a geographic service area, local search is one of the most defensible organic channels available.
Vertical search, meaning platforms like Amazon, YouTube, LinkedIn, and industry-specific directories, is also worth treating seriously as part of a broader organic strategy. These are environments where traditional SEO logic applies but with platform-specific ranking signals. Managing them separately from your main site SEO is sensible, and many businesses are underinvesting here relative to the traffic and intent quality on offer.
What Does a Commercially Sound SEO Strategy Look Like Going Forward?
A commercially sound SEO strategy starts with a clear answer to one question: what commercial outcome is this programme meant to drive? Not traffic. Not rankings. A specific commercial outcome, whether that is lead volume, e-commerce revenue, brand consideration in a defined audience, or something else measurable.
From that starting point, the channel mix and content priorities become much easier to evaluate. If the outcome is lead generation in a specialist B2B category, topical authority and long-tail transactional content matter more than broad informational volume. If the outcome is e-commerce conversion, product page optimisation and category architecture matter more than a blog. The mistake most programmes make is optimising for SEO metrics rather than business metrics, and then wondering why the commercial results do not follow.
The other element that is non-negotiable going forward is integration. SEO that operates in isolation from paid search, content strategy, and brand activity is leaving compounding effects on the table. The programmes that perform best are the ones where the SEO team understands the full acquisition picture and makes decisions with that context in mind. That requires a level of commercial maturity that not every agency or in-house team has built yet, but it is the direction the discipline is moving.
There is more on building that integrated approach in the complete SEO strategy guide, which covers how to structure a programme that holds up across algorithm shifts rather than chasing each one.
About the Author
Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.
