The question we're all asking in 2026: Is SEO still worth it?
SEO feels unsettled right now. Traffic patterns look strange, AI answers are crowding search results, and every vendor seems to have a new acronym or shortcut.
We talk to founders and marketers at health & wellness brands every week who are asking the same questions:
- Is SEO still worth investing in?
- How does AI change what we should be doing?
- What actually moves the needle now?
A few SEO myths that still cause problems
Myth #1: SEO should directly drive sales
SEO has never been a pure last-click revenue channel. Even years ago, commercial searches were buried under paid ads and shopping units.
In 2026, AI summaries take up even more space. Expecting SEO to behave like paid acquisition leads to the wrong strategy and the wrong KPIs.
What SEO reliably does:
- Builds demand and familiarity
- Supports multi-touch attribution
- Validates your brand when buyers research you later
If SEO is being judged only on immediate conversions, it is being evaluated incorrectly.
Myth #2: SEO should work quickly
SEO is still an inertial channel. It compounds slowly and lags behind effort.
What has changed is patience. Teams reset strategies too often because they expect results in weeks. That constant restarting prevents momentum from ever forming.
Brands that win treat SEO as infrastructure, not a campaign. It takes a long time to build an SEO infrastructure, but that infrastructure pays off for ages. It’s unlike a paid channel, which is like flipping a light switch – which is either on or off. SEO is like pushing a snowball down a hill – it is slow and small at first, but then builds momentum (value) over time.
Myth #3: SEO lives in a silo
When SEO is isolated, it turns into rankings reports that don’t influence anything else. It should be part of an integrated marketing strategy.
When SEO is siloed, it usually looks like this:
- An agency tracks rankings, impressions, and clicks
- A monthly report gets sent
- No one outside marketing changes anything as a result
When truly integrated, SEO data should inform every piece of a brand’s messaging and collateral.
SEO is now one of the clearest windows into how buyers think before they convert. Treating it as a standalone channel wastes that insight.
What integrated SEO actually does
Modern SEO data answers questions that no other channel answers as clearly.
When we look at Google Search Console, GA4, and properly configured events together, we can see:
1. The exact language customers use before they buy
Not the language brands think customers use. The real words.
Examples:
- “Is red light therapy safe” vs “red light therapy benefits”
- “Best functional medicine clinic near me” vs “integrative doctor cost”
- “Cold plunge at home” vs “is cold plunge worth it”
That language should show up everywhere, from website headlines, to ad copy, to email.
If SEO data stays in an SEO report, that insight never gets applied.
2. Which questions show up before conversion
SEO data reveals the research phase that happens before someone fills out a form or books a call.
For example:
- People often search comparison or concern-based queries days or weeks before converting
- Those searches rarely convert directly, but they strongly predict future conversion
If marketing only optimizes for “high-intent” keywords, you miss the trust-building phase entirely.
This is where SEO supports top- and middle-of-funnel, retargeting, and even sales enablement.
3. Where trust breaks down in the journey
SEO data often exposes friction that conversion data alone does not.
Examples:
- High impressions but low clicks may indicate weak positioning or unclear messaging
- Strong traffic but poor engagement can signal misaligned expectations
- Drop-offs after informational content can point to missing next steps or credibility gaps
Those insights should inform:
- Messaging adjustments
- Page structure
- Proof points
- How aggressively or conservatively sales follows up
SEO is no longer just about “ranking pages.”
It’s one of the clearest windows into how buyers think, what they worry about, and what they need to hear before they trust you.
When SEO is integrated:
- Messaging sharpens across channels
- Paid ads convert better
- Sales conversations start further down the trust curve
- AI systems see more consistent, reinforced brand signals
One of the biggest mistakes we still see: underestimating technical SEO
This is where many brands unintentionally sabotage themselves.
We regularly see teams invest heavily in visual design while neglecting the technical foundations that allow a site to actually perform.
Indexability is non-negotiable
If search engines or AI crawlers cannot reliably access your pages, nothing else matters. That includes broken links, poor crawl depth, blocked pages (this happens by mistake a LOT), rendering issues, etc.
Technical issues can cause entire sections of a site to be invisible to AI crawlers, even if the design looks perfect.
Page speed directly affects trust and engagement
Slow sites lose users. That part is obvious.
What’s less obvious is that speed also affects how search engines and AI systems evaluate quality. A slow-loading site signals poor experience and often correlates with higher bounce rates, which compounds the problem.
Schemas and structured data
AI, GEO, and “ranking in ChatGPT”: what actually applies
The most common question we hear now is, “How do we get mentioned in ChatGPT or Gemini?”
The important shift to understand is this: you do not optimize for AI separately from SEO. You become a clear, credible entity that search engines and AI systems already recognize.
From what we can observe, Large Language Models (LLMs) do not possess the same near-infinite data collection and storage capacities as Google. Instead, they combine their pre-trained knowledge with real-time data retrieved from search engines…. AKA, SEO!
Where AI tools get their information
Large language models combine pre-trained knowledge with real-time search and publicly available content.
The sources that matter most:
- User-generated platforms like Reddit, Quora, and LinkedIn
- Knowledge bases such as Wikipedia, Medium, Substack, and Product Hunt
- YouTube transcripts and metadata
- High-authority editorial content
- Authoritative, quality mentions elsewhere on the web (good, old-fashioned media work)
Thin blog posts written purely to rank do very little here.
The practical implication
Brands that perform well in traditional SEO, brand mentions, and authoritative publishing are the same brands AI tools recommend.
This creates a feedback loop:
- SEO success increases visibility
- Visibility increases brand mentions
- Brand mentions increase AI recommendations
AI did not replace SEO. It amplified the importance of doing it correctly.
Concrete tactics that matter in 2026
Directories and online catalogs still work, when done correctly
Directories are not about chasing domain authority. They are about consistency and entity validation.
We recommend tools like BrightLocal to:
- Manage listings at scale
- Ensure consistent NAP data
- Identify niche and industry-specific directories
- Monitor local citation health
Smaller, relevant directories often drive higher-quality leads than massive platforms, especially in health and wellness.
Structured data is critical
Schema markup helps search engines and AI systems understand who you are, what you do, and where you operate.
At a minimum, we recommend implementing:
- Organization schema
- LocalBusiness schema
- Place schema where applicable
This explicitly links your website, brand, and physical presence. It reduces ambiguity and strengthens local and entity-based signals, which AI systems rely on heavily.
llms.txt is emerging, and worth implementing
A newer development we are watching closely is the llms.txt file.
Similar in concept to robots.txt, this file:
- Provides LLM-friendly, Markdown-formatted information
- Helps AI systems parse your site more efficiently
- Reduces unnecessary crawling load
It is not yet a universal standard, but it is increasingly supported. Including an llms.txt file is a low-risk, forward-looking technical improvement we now recommend.
YouTube is an undervalued SEO and AI channel
YouTube has always mattered for Google. What’s changed is how directly its content feeds AI systems like Gemini. Crawlers are reading transcripts to get information directly from the videos, regardless of descriptions or tags used when uploading.
For brands willing to invest in consistent, expert-led video content, YouTube has become one of the strongest long-term visibility assets.
Is blogging still worth it?
Yes, but not in bulk and not without intent.
Zero-click search is real
AI summaries have reduced organic clicks significantly (about 30-40%). That does not mean content is useless, it just means that content’s role has changed.
Good content now:
- Builds authority and recall
- Answers specific, high-intent questions
- Supports conversions later in the journey
Bad content exists only to fill a content calendar, has no clear author or POV, and repeats what’s already out there on the web.
How we approach publishing now:
- Fewer posts, stronger answers
- Clear authorship and real experience
- Internal linking aligned with the customer journey
- Distribution beyond your own site
In many cases, third-party publishing and video outperform traditional blogging for AI visibility.
Local SEO remains one of the highest-ROI opportunities
Despite all the noise around AI, local SEO continues to deliver outsized returns.
What consistently works:
- Fully optimized Google Business Profiles
- Consistent directory listings
- Active review generation and response (Google pulls keywords from reviews to help rank you on Google Maps)
- Clean technical foundations
Where we place extra emphasis:
- Structured data to reinforce location and entity clarity
- Local media features and partnerships
- Collaborations that generate real brand mentions, not just links
Local SEO is less about tricks and more about becoming the default answer in your geography.
How we think about SEO in 2026
We do not separate SEO, content, AI visibility, and brand into different strategies.
We think in terms of search visibility infrastructure, built on five layers:
- Technical accessibility
- Entity and brand clarity
- Problem-solving content
- Authoritative distribution
- Human oversight and judgment
When one layer is weak, everything else underperforms. It’s all integrated and must be taken seriously as a holistic effort.
The bottom line
SEO in 2026 is deeper, slower, and more strategic than it used to be. It rewards clarity, credibility, and consistency, not volume or shortcuts.
AI raised the bar… but it did not change the fundamentals.
Brands that understand this are building durable visibility while others chase tactics that won’t compound.
Things are changing fast, but the basics will still yield value and results for businesses.
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