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SEO Strategy

SEO Best Practices in 2026

20

min read

How Experts Build Winning Strategies

SEO has always evolved alongside search, and it will continue to do so. While there were times when things felt more stable and predictable, we’re now in a period of continuous change.

This isn’t just another algorithm update cycle. It’s a structural shift in how information is discovered, interpreted, and surfaced. What used to feel stable and predictable now feels fluid, layered, and increasingly complex.

Is SEO changing in 2026? 

Short answer: yes. The acceleration that began in 2025 hasn’t slowed. Discovery is broader, more fragmented, and harder to track. Visibility no longer lives in a single results page. 

What’s driving this shift?

  • LLM-powered chatbots (ChatGPT, Claude, Perplexity) influencing how answers are generated and consumed.

  • Google layering AI Overviews and AI Mode on top of classic search.

  • Growing importance of social, community, and creator platforms (Reddit, Substack, social feeds).

So what does the future of SEO look like? 

The future of SEO isn’t defined by hacks, loopholes, or isolated ranking wins. It’s defined by understanding how visibility works across interconnected channels.

It’s exciting.
It’s ambiguous.
It’s fast-moving.

And at times, it’s frustrating. But it’s also full of opportunity for those willing to rethink what SEO actually is.

To better understand this shift, we turned to the experts. Through conversations on The Search Session podcast, Gianluca Fiorelli explored how leading experts are navigating and shaping this transition. These insights reflect what they are testing, adapting, and implementing right now.

We deliberately avoided framing this article as “what works” versus “what doesn’t.” SEO has never been black or white. It operates in shades of gray. That’s exactly why SEO practices in 2026 look different from anything we’ve seen before.

SEO best practices in 2026

1. Visibility, intent , and meaning over keywords and clicks

Are keywords still relevant?

Yes, but not in the way they used to be.  

Based on expert consensus, keywords haven’t disappeared from search engines. Modern search systems are still built on language, and language is still made of words. As Andy Chadwick puts it, even conversational queries are assembled from keyword “Lego bricks.”  You can “call them topics if you want,” he says, but keywords remain useful for guiding content and building topical authority. 

What has changed is their role in SEO strategy.

As search becomes more conversational, Michael Bonfils argues that “keywords are gone,” with FAQs becoming the new keywords. Garrett Sussman explains why: “We used to rely on simple keyword searches because Google didn’t fully understand the intent behind our queries,” but advances in models now allow search engines to understand “much more complex queries.” Jes Scholz reinforces this shift by reframing SEO as visibility at “category entry points,” not keyword ranking, reminding us that “it is not keywords and traffic. It never was.”  

That doesn’t make keywords irrelevant; it means they’re no longer sufficient as a strategy.

Today, keywords function primarily as signals or inputs that help infer intent, topic relevance, and user needs. Ivano Di Biasi emphasizes that “the most important thing is the subset of keywords” that genuinely satisfy user needs. Used this way, keywords help structure topical authority, but they are no longer the goal themselves.

SEO is no longer about high-volume keywords but about business-aligned traffic.

As Arnout Hellemans explains, “If you truly understand the business model, it helps you not only optimize the website, but also get the right traffic, in the right phases of the funnel.”

At the same time, SEO has expanded beyond keywords toward journeys and experiences. 

Cindy Krum describes SEO’s evolution from “optimizing for keywords” to “optimizing for entities,” and now toward “optimizing for journeys”, while Giulia Panozzo emphasizes that effective SEO today is about designing meaningful experiences, “not just optimizing for clicks.”

This shift is reinforced by new success metrics, where visibility gains value even without a click.

Rishi Lakhani treats “impression growth as a positive metric,” while Gianluca Fiorelli argues that real visibility can be measured by “how many pixels you are occupying,” because that on-screen space often represents the real value of being seen, whether or not a click happens.

What ultimately unites these perspectives is intent. 

As Kevin Indig explains, SEO is moving “from a click game to an influence game,”  and what “makes much more sense from a data perspective are topic signals and intent signals.” Talia Wolf reinforces this by arguing that SEO must connect “the search term—the intent that brought them there—with what users experience on the page,” while Lily Ray sums it up clearly: the focus has shifted to “the quality and intent behind the traffic.”

2026 SEO strategy:

  • Shift from traffic to visibility as the primary signal: measure success by where and how your brand appears when intent is expressed, using impressions and presence across AI-driven and zero-click results, not just visits.

  • Evaluate visibility by pixel position, not position alone: go beyond rankings to really understand the visual measure of how far down your website appears for the target audience.

  • Use keyword research for dynamic signals, not rigid goals: treat keywords as inputs for decoding intent and building topic clusters, focusing only on those that truly satisfy user needs.

  • Build intent-rich content formats: structure those topic clusters into questions, FAQs, conversational answers, and zero-click assets that search engines can surface directly.

  • Design SEO around journeys and experiences: align search intent with what users see and experience on the page.

  • Measure quality and influence, not just volume: prioritize impression growth and engagement quality over raw traffic.

Experts like Gianluca Fiorelli and Kevin Indig emphasize that SEO in 2026 is an "influence game" measured in pixels, not just blue links. 

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2. Expansion of Google-centric search into multiple surfaces

Is Google losing its search dominance?

It still leads, but no longer defines search.

Experts agree that Google remains a critical search platform, but it is no longer the only place where discovery happens. As Heather Physioc observes, people now search “in more ways and more places than before,” expanding discovery beyond traditional Google SERPs into a wider ecosystem of platforms and experiences.

What’s changing is not Google’s relevance, but its exclusivity.

Greg Gifford describes this shift as a move from “search engine optimization” to “search experience optimization,” where visibility depends on being present wherever people search. Purna Virji captures this shift simply: “we’re not just thinking about Google anymore.” Maria White echoes the same reality, pointing out that “it’s not just about Google anymore, because the ecosystem isn’t just Google.”  

As a result, discovery expands beyond Google

Search is now spread across multiple platforms, interfaces, and environments. Giorgio Taverniti makes this explicit, stating that “Google is no longer the only search engine,” and that “there are so many other platforms and environments where people search for information.”

This shift also reshapes how brands build visibility.

Mike King describes this as omni-media content planning, where “you want to be present across a variety of channels with the right messaging.” Marco Loguercio frames the same shift as omnichannel, emphasizing that search is “not only Google-centric,” especially for a new generation that doesn’t rely on Google as its primary discovery tool. Andy Chadwick adds another layer by calling this ambient visibility—the idea that success increasingly comes from “being everywhere,” rather than being in a single place.

2026 SEO Strategy:

  • Treat Google as one discovery surface among many: plan SEO for a distributed ecosystem of AI tools, platforms, apps, and environments where discovery now happens.

  • Optimize for search experiences, not SERPs: focus on how users discover and engage with your brand across contexts and devices, instead of optimizing only for page rankings

  • Create content that travels: structure content so it can be retrieved, summarized, cited, and reused across platforms and AI-driven interfaces.

  • Leverage multimodal content: prioritize video, images, and social for omni-media plans, as AI pulls from diverse formats beyond text.

  • Prioritize intent, not coverage: focus omnipresence on the moments and surfaces where user intent and business impact are highest.

3. Brand authority as a core visibility signal

What role does brand play in SEO and visibility today?

A far more central one than it was in the past.

Brand has shifted from a secondary SEO consideration to a primary driver of visibility and business impact. Ross Simmonds reflects that the industry “was obsessed with backlinks while underestimating the power of brand,” arguing that brand plays a major role not just in SERPs, but in driving real business outcomes. 

This role becomes even more pronounced in AI-driven visibility.

Kevin Gibbons explains that “the more your brand is referenced in credible sources, the more likely it is to be recognized and surfaced in AI-driven results.” Gareth Hoyle reinforces this from a commercial perspective, pointing out that when brands send “the right brand signals” and focus on “real business stuff,” even affiliate models can continue to thrive.

From the customer’s perspective, a brand starts with understanding.

Miracle Inameti-Archibong emphasizes that “going back to brand” means “thinking through customer lens first”. the human side of brand building, arguing that authentic brand voice comes from “people who are genuinely involved in the brand,” not AI, but “real people.”

Brand also determines whether visibility actually matters.

Jes Scholz frames brand as a visibility multiplier, noting that impressions only matter when users connect “brand assets to the category entry point, and that connection builds brand salience.”  Joanna Lord shows how those connections are created in practice, pointing out that brands working through creators see “four to six times engagement” and higher revenue than traditional channels.

At its core, a brand shapes memory and meaning.

Rand Fishkin distills this further, defining brand as “playing to someone’s echoic memory and understanding of a space.”

2026 SEO Strategy:

  • Build brand salience, not just links: focus on being consistently associated with a clear category or use case, rather than accumulating disconnected signals.

  • Treat SEO as a brand authority engine: use search to systematically build topic leadership, so organic visibility increases brand preference and future demand, not just visits.

  • Earn authority through credible references: prioritize PR, citations, and co-occurrences that reinforce brand legitimacy and help AI systems recognize and trust your brand.

  • Use content for brand recognition, not just rankings: ensure brand assets, language, and expertise are visible wherever content appears, so impressions build memory and recall.

  • Anchor SEO decisions in the customer’s perspective: make choices based on how real users perceive and understand your brand, not just how systems index pages.

  • Ensure brand coherence across touchpoints: keep positioning and messaging consistent across platforms and over time so brand signals compound instead of fragment.

  • Activate trusted creators and experts as brand carriers: partner with creators, employees, and advocates whose content can repeatedly expose your brand in-category, multiplying engagement and reinforcing salience.

4. System literacy is a competitive advantage

Why is understanding search and AI systems becoming a competitive advantage in SEO?

Because modern SEO is no longer about reacting to algorithms, but about understanding how 

systems work.

Experts agree that SEO has moved beyond surface-level optimization into system literacy. Andrea Volpini stresses that SEO knowledge is no longer just about search engines, but about understanding “AI crawlers,” how systems behave “at inference time,” and how information is retrieved to generate responses, requiring a deeper dive into “the SEO know-how behind how information extraction works,” which Andrea stresses “remains foundational.”

This shift changes what practitioners should focus on day to day.

Purna Virji argues that SEOs need to stop “chasing the algorithm, which is constantly evolving,” and instead focus on “what the algorithm is trying to reward: good content, real value, and a positive user experience.” Chris Green adds that working directly with LLMs helps practitioners understand “why it chooses one thing over another,” so “you’re not just getting the output, you’re learning the mechanics.”

Several experts frame this as an analytical skill rather than a tactical one.

Martin MacDonald explains that the real capability now lies in “being able to search, interpret the results, draw conclusions, and optimize toward that understanding.”

System literacy also changes how SEO is positioned within organizations.

Duane Forrester explains that clinging to old labels signals the past and that progress comes from showing stakeholders “there’s a way forward, and that it involves embracing these systems.”

At the most advanced level, this understanding becomes leverage. 

Mike King explains that agentic systems are made up of “different components doing various operations on behalf of the user” and argues that SEOs can benefit by “leveraging this kind of technology—the same way Google does.”

2026 SEO Strategy:

  • Invest in system literacy to stay in the pilot’s seat: understand how AI and search systems work, where their limits are, and how to direct them, so you use them as amplification tools—not autonomous decision‑makers.

  • Optimize for what systems are designed to reward: align SEO with underlying incentives—real value, useful content, and positive user experiences—rather than surface-level tactics.

  • Develop analytical interpretation skills: analyze result patterns, directionality, and SERP composition over time to draw reliable conclusions and guide optimization.

  • Learn by working with AI systems directly: use LLMs as learning environments to understand why systems choose one output over another.

  • Reframe: communicate SEO as a strategic capability rooted in understanding complex systems, not outdated labels.

  • Leverage system-level thinking for scale: adopt agentic and modular technologies to scale insight and reasoning, not just execution.

System literacy requires observing how search engines behave at "inference time." 

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5. SEO fundamentals still matter

Does SEO matter anymore?

Yes, and in many ways, it matters more than ever.

Ian Lurie rejects the rupture narrative outright, stating that he does not accept the idea that “SEO is dead,” and never has. Tom Critchlow echoes this perspective, arguing that while the environment around SEO is changing rapidly, “not much has really changed yet” in terms of day-to-day practice.

That continuity becomes clearer when looking at what SEOs actually do. 

Mark Williams-Cook makes this continuity real, explaining that “the actual core activities that we are doing—and that I can foresee us doing—remain the same for SEO,” whether it’s “making sure a site is technically clean, producing high-quality content, or getting coverage.” From a broader marketing lens, Michelle Robbins reinforces that while channels evolve, “building a brand is building a brand,” and the fundamentals of reaching an audience have “never changed.” 

These fundamentals extend directly into AI-driven search. 

Kevin Gibbons emphasizes that “most of what you should be doing for SEO still applies,” particularly around building a strong, reputable brand—even as teams learn how LLMs prioritize content.

At the same time, experts stress that these principles cannot hold without solid technical foundations.

Jono Alderson warns that many sites have neglected technical SEO for too long, resulting in “poor user experiences—sometimes catastrophically so.” Shelley Walsh reinforces that “really good SEO is about somebody who can work within the technical frameworks we have, while still producing an outstanding user experience.”

In an AI-driven environment, this technical rigor becomes even more critical.

Miracle Inameti-Archibong puts it plainly, “Technical SEO is more important than ever before because data is expensive.” Finally, Himani Kankaria distills the argument to its essence, stating clearly that “the foundation of SEO… is not changing,” and “is still the same.”

2026 SEO Strategy:

  • Keep the basics consistently clean: maintain indexation, duplication, structured data, and content clarity to prevent silent visibility loss.

  • Make technical SEO non-negotiable: prioritize crawlability, performance, clean architecture, and accessibility. In AI-driven search, inefficient or broken sites are simply skipped.

  • Adapt to AI without abandoning fundamentals: learn how AI retrieves content, but apply that knowledge to strengthen, not replace, core SEO practices.

  • Apply proven SEO tactics in AI search: despite booming AI search, use reliable tactics like keyword research, structured data, conversational optimization, and authority-building to ensure surfacing in AI results and SERPs 

  • Optimize for real user experience: poor UX undermines visibility. Design SEO around how users actually discover and consume information.

  • Focus on genuinely useful content: create content that clearly solves real problems; as systems get better at judging value, shallow optimization stops working.

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6. Static playbooks and checklists no longer work

Why is SEO moving beyond fixed playbooks and checklists?

This is due to the wider shift from formulaic optimization to contextual understanding.

Lexi Mills similarly points to a move away from a “formulaic SEO checklist” toward understanding audiences—“who they are, how we reach them, and what they need to engage.”

This shift is reinforced by changes in how work gets done.

Aleyda Solís reinforces this critique, noting that “a lot of SEOs are still very tactical. It’s all about the checklist,” arguing instead for business-oriented thinking that adapts to different scenarios and constraints. As Sophie Brannon adds, because SEO has long been treated as “a checklist exercise,” AI can now handle much of that work, allowing teams to focus on “the bigger-picture, creative, strategic work.” 

In practice, this reframes the role of checklists themselves. Checklists still matter for covering the basics, but they no longer define effective SEO.

Barry Adams explains that while he still uses checklists, “the checklist isn’t the goal; it’s just a means to an end,” emphasizing that real SEO work requires exploratory thinking beyond predefined steps and that his checklist “evolves constantly.” Greg Gifford captures the implication clearly, asking whether SEOs are “just following a checklist,” or “digging deeper to understand the strategy behind it all?”

2026 SEO Strategy:

  • Use checklists as guardrails, not goals: keep them for covering the basics, but don’t mistake ticking every box for progress. Real SEO work starts with prioritized, sprint-based actions beyond the list.

  • Prioritize contextual understanding over fixed tactics: base decisions on audience behavior, business objectives, and situational constraints—not on one-size-fits-all best practices.

  • Design SEO around audiences, not formulas: focus on who users are and how they move through search journeys and discovery paths (SERPs, AI answers, social, and other surfaces), instead of applying the same optimization patterns everywhere.

  • Shift from tactical execution to strategic judgment: move beyond mechanical optimization toward business-oriented thinking that adapts SEO to different scenarios, markets, and goals.

  • Let AI handle the routine work: use AI to absorb checklist-driven and repeatable tasks, freeing human effort for creative, exploratory, and strategic problem-solving.

  • Continuously evolve your approach: treat SEO frameworks as living systems. Revisit assumptions, test outcomes, and update methods as platforms, audiences, and systems change.

7. Cross-functional SEO roles over isolated execution

Why can’t SEO succeed in isolation anymore?

Because visibility is no longer created within a single channel, it emerges from interconnected systems.

Maria White makes this explicit, stating that “as an SEO, your job isn’t just doing SEO. It’s working across teams—paid, social, marketing channels, but also development.”

The cost of isolation is fragmentation.

Ricardo Tayar warns that many projects still run in silos, where people say, “I’ve done my SEO part… don’t talk to me about conversion rate,” forgetting that “it’s all connected.”

Search behavior itself is forcing change.

Gus Pelogia expects “strategic shifts across the board in SEO, to adapt to this new landscape.” Lily Ray reinforces “in the past, SEOs often worked in silos, kind of in their own bubble. But now it’s clear that’s no longer viable.”

 The role is also expanding structurally.

Gerry White argues that SEO is moving beyond “optimizing for 10 blue links” toward SEOs acting as “technical marketers” across systems, platforms, and experiences. 

From a demand perspective, integration is non-negotiable. 

Giulia Panozzo states plainly, “I can’t rely on SEO alone,” emphasizing that “SEO and other marketing channels work best when they complement each other.”  Gaetano DiNardi explains that as visibility depends on brand entities and co-occurrences, SEO becomes “a broader part of marketing” and something teams “cannot solve on their own,” making collaboration with PR essential.

2026 SEO Strategy:

  • Break down channel silos: align SEO with paid, social, PR, product, and CRO through shared goals and KPIs.

  • Operate as technical marketers, not ranking specialists: expand beyond “10 blue links” to influence visibility across systems, platforms, and AI-driven experiences.

  • Align SEO with brand and PR efforts: collaborate to build entity authority, co-occurrences, and credible references that strengthen visibility in AI search.

  • Integrate SEO into product and UX decisions: treat conversion, experience, and technical health as shared responsibilities, not downstream concerns.

  • Shift from channel optimization to growth coordination: position SEO as a connective layer across marketing, ensuring efforts compound rather than compete.

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8. One SEO Role Across Multiple Search Surfaces

What is SEO for AI called?

It’s still called SEO.

Ivano Di Biasi makes this explicit, noting that “when an LLM mentions you—it’s SEO.” Tom Critchlow echoes this perspective, arguing there is “nothing you should be doing differently today for AI search than for regular search,” and describing the SEO vs. GEO debate as “reductive.” Natalia Witczyk reinforces that teams that stay up to date don’t need to “start something completely different” because AI appeared. “SEO isn’t dead,” they already know what they’re doing.

AI-driven visibility isn’t a new discipline. Acronyms like GEO and AIO simply describe SEO applied to new surfaces.

Dawn Anderson reframes GEO as “an aspect of search”“a new surface” not a replacement. Kevin Indig describes GEO and AIO as “pretty much the same tactics, but in different environments.”  Aleyda Solís emphasizes that “mature, sophisticated SEO” already overlaps heavily with what AI-driven search requires.

2026 SEO Strategy:

  • Stop chasing new acronyms: treat GEO, AIO, and similar terms as extensions of SEO, not separate disciplines. Focus on principles, not labels.

  • Apply the same foundations across new interfaces: optimize for relevance, authority, clarity, and technical accessibility, whether visibility appears in SERPs, AI Overviews, or LLM responses.

  • Adapt execution to AI-driven environments: while the fundamentals remain, tailor implementation to how AI systems retrieve, summarize, and reference content and optimize for retrievability, entity clarity, and contextual credibility.

  • Build signals that travel across surfaces: structure content, entities, and brand references so they can be surfaced consistently across traditional search and AI systems.

  • Measure AI brand visibility beyond rankings: track how and where your brand appears across search environments, not just in blue links, but in AI-generated answers, summaries, citations, and entity references.

9. Distinct content over repetitive information

When information is everywhere, what makes content visible?

It must become memorable. As AI absorbs generic information, visibility increasingly depends on differentiation.

Amanda Natividad emphasizes that to earn attention, “the content itself needs to stick,” arguing that novelty, whether something completely original” or “counterintuitive ideas,” is what drives impact.

Content that blends in simply disappears.

Cyrus Shepard warns that content is now considered spam when it “isn’t different from anybody else’s.” Gus Pelogia reinforces this by questioning generic top-of-funnel content and noting that much of it is “nearly identical,” predicting that “traditional top-of-funnel strategies are going to shrink.”

This shift is amplified by AI systems.

Shelley Walsh explains that “informational content alone isn’t going to cut it anymore,” because LLMs and AI Overviews already have that space “absolutely covered.” If machines can summarize the basics instantly, producing more basics does not create visibility.

Instead, content must contribute something distinctive to brand and recognition.

MJ Cachón argues that SEO should support “brand recognition and brand growth” by moving beyond content that’s only “designed to rank,” and focusing instead on stronger content paired with smarter distribution.

Creating memorable content also requires collaboration.

Yagmur Simsek notes that differentiation comes from working with AI tools alongside human expertise to “produce the best possible content.”

Where visibility efforts are applied also matters.

Judith Lewis highlights the value of “improving visibility for post-purchase queries,”  ensuring users find meaningful answers directly in search. And John Shehata emphasizes extending content value across channels—“slice it and dice it” into formats that reinforce recognition everywhere the audience interacts.

2026 SEO Strategy:

  • Make content stick through vibes and facts: earn attention with emotionally resonant stories, then support them with a few carefully chosen facts so your ideas are memorable and defensible.

  • Move beyond generic informational content: AI systems already summarize basic information. Compete where interpretation, perspective, and brand voice matter.

  • Build content that strengthens brand recognition: create ideas that reinforce your brand’s authority and point of view, not just pages designed to rank.

  • Invest in smarter distribution, not just creation: extend content across formats and channels so memorable ideas compound through repetition and reach.

  • Apply human judgment to AI-assisted production: use AI as a collaborator, not a substitute. Differentiation comes from combining automation with a human perspective.

  • Shift effort toward high-impact queries: strengthen visibility in mid- and post-purchase moments where distinctive expertise builds trust and loyalty.

Building Your SEO Strategy in 2026

You start by accepting that SEO no longer revolves around keywords, rankings, or a single search engine. It revolves around visibility, intent, brand authority, and understanding how modern search systems work.

The future of SEO with AI is not about abandoning fundamentals. It’s about applying them across more surfaces, more interfaces, and more complex systems. AI hasn’t replaced SEO, it has expanded the environments in which SEO operates.

Is SEO becoming irrelevant?

No. If anything, it’s becoming more central. But static playbooks are. Isolated execution is. Formulaic content is. What’s fading isn’t SEO itself; it’s outdated interpretations of it.

And what replaces SEO?

Nothing replaces it. Instead, SEO becomes broader. It becomes cross-functional. It becomes brand-driven. It becomes system-aware. It becomes focused on influence, visibility, and meaningful differentiation rather than just traffic.

The common thread across every expert perspective is this: SEO in 2026 is less about tactics and more about thinking.

Thinking in systems.
Thinking in journeys.
Thinking across channels.
Thinking about how visibility is earned.

We truly hope these strategies help you find clarity and confidence in an ever-evolving search landscape and give you a clearer sense of where to focus next. Use them wisely!

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Article by

Irina Diaconu

I’m a passionate content writer who loves researching and exploring new topics. With a keen eye for detail, I am dedicated to creating well-informed pieces that captivate and inform readers. Sharing knowledge and arousing curiosity is at the heart of my writing journey.