The future of SEO shifts toward multi-layered positioning on the SERP. This means having content included in AI-generated summaries, brands mentioned in AI chats, communities, and forums (e.g., Reddit, Quora), and using video as a marketing tool, such as YouTube.
Search is no longer a single action; it is a multilayered journey where AI chat, search engines, social, and video all work together to shape discovery and answer intent. And businesses that fail to adopt AI SEO strategies risk losing visibility, trust, and conversions to competitors who adapt faster.
In this blog, you’ll learn how to apply these strategies and focus on the areas that matter most.
First, How AI Supports Traditional SEO
AI and SEO are partners in reshaping how brands are discovered, perceived, and recommended online. Structured, humanized, and natural content helps businesses get recommended, referenced, and surfaced in the moments that influence decisions. Marketers leverage AI strategically to brainstorm content ideas, cluster keywords, analyze SERP patterns, and summarize competitor insights. Still, human expertise remains essential.
As Semrush revealed in their recent post:
Because AI synthesizes signals from across the web (e.g., PR, social media, directories, and top-performing content), it helps search engines and LLMs understand a brand’s authority and relevance in context.
By thinking beyond traditional search and embracing how AI interprets authority, AI SEO strategists can ensure brands are understood, trusted, and chosen in a future where discovery happens across both Google and AI-powered platforms like ChatGPT and Perplexity.
Take our own experience as an example.
Back in February, we gave our blog a refresh using human insights—and the results blew past expectations.
“Saas SEO” rankings jumped faster than usual SEO timelines, and we’ve held the #1 spot for 9 months straight.
Needless to say…we used AI to help with research for structuring a brief, brainstorming around context and visuals. We then used our expertise and judgment to craft the piece that brought results. That’s why we gained the top spot, and our brand visibility increased.
Therefore, if brands don’t optimize or update their content following the best AI SEO practices, they can lose brand visibility.
And if they don’t start implementing AI SEO practices right now, they can also lose AI share of voice, customer’s trust, conversions, and their chance to surpass competitors.
How AI is Changing SEO?
Artificial intelligence is transforming SEO at every level—from how search engines understand user-intent to how users discover brands. Instead of simply matching keywords to pages, algorithms evaluate context, intent, and expertise with machine learning models.
This shift means businesses need strategies that go beyond traditional on-page optimization. They must focus on authority, relevance, and prepare for the future of link building. Plus, having a presence on an entity-building channel such as YouTube, or hosting live events (e.g. SEO conference) will help companies boost their authoritative voice. Statistics show that over 90% of businesses now use video as part of their marketing strategy.
Now, let’s dive into the details.
AI Is Rewriting the Search Results Page (SERP)
AI-generated summaries (i.e. Google’s AI Overviews) are changing the traditional behavior of clicking through ten or more blue links. Even though this practice still takes its place, the popularity of zero-click searches increases.
Now, the user journey is focused on multi-channel research and looks like this:
Search engines now answer many queries directly on the page, reducing clicks to lower-value. To stay visible, brands must optimize for inclusion inside AI summaries by showing every angle of the topic.
Here’s an example of our AI Overview:
This requires not only stronger topical authority but also inclusion of high-quality images and a stronger presence on YouTube and other communities.
For more information on this topic, take a look at: The Future of Content Creation & SEO in a World with AI and LLMs | Ep. 32
Now, let’s see why topical authority matters.
AI Models Reward Topic Expertise Over Keyword Density
Large language models (LLMs) evaluate how comprehensively a site covers a topic. AI SEO requires building out all relevant subtopics within that theme. This means thinking about what research looks like before and after the initial research.
For example, if you’re covering “Digital PR” you shouldn’t just explain how to create PR strategies. You should also cover:
- shifts in media behavior
- influencer dynamics
- real-time reputation management
- the rise of niche micro-publications
- AI optimization layer to show full topical depth
Brands with fragmented or surface-level content risk losing visibility as AI models prioritize subject-matter expertise and context-rich pages.
Take a look at an example of a context-rich page here. Here are the elements on the page that address this topic:
And the fact that the page is mentioned for the “AISO and SEO” in the AI Mode proves how a context-rich page can significantly boost visibility:
Content Production Is Still About Quality
Google continues to reward originality, expertise, and accuracy. Websites that rely heavily on generic AI-generated content face higher risks of underperformance. The winners are those using authentic research and human insight.
For example, publishing 60 AI-generated blog posts in a month is much worse than publishing 5 high-quality, human-led pieces.
Search Is Becoming More Conversational
Users increasingly search in longer, more conversational formats, mirroring how they interact with AI chatbots. This shift favors content that answers specific questions, covers semantic variations, and reflects natural language. Sites optimized only for short, high-volume keywords may lose visibility as search queries become more nuanced. Structured Q&A sections, conversational content blocks, and clear hierarchy help pages perform better in conversational search models.
Take, for example, Leigh McKenzie’s recent post.
Therefore, if you want to see more visibility, signups, and conversions, a clear signal is that SEO is becoming inseparable from conversational AI search.
Your content must be aligned with the user’s search language.
Brand and Trust Signals Are Increasingly Critical
AI ranking systems heavily rely on signals of trust, including author expertise, source transparency, and brand authority. Businesses that invest in brand building are more likely to be cited by AI systems and included in AI-generated summaries. Strong brand signals help mitigate risks from declining organic CTRs.
According to Forbes, 66% of buyers focus on getting the best price, but half of enterprise buyers choose the “safest, most trusted option” even over existing relationships. For SEO professionals, this underscores the growing importance of building authoritative, trustworthy content that instills confidence in customers.
What Happens When Brands Optimize for AI the Wrong Way
Optimizing for AI is about learning how to be seen, cited and valued by AI systems. This doesn’t mean that you must use AI, but you definitely need to understand how staying visible in AI-driven search works and provides benefits for businesses.
When brands optimize for AI the wrong way, they mistake speed for clarity and volume for depth. They focus on producing more, instead of making their ideas easier for AI to parse and cite.
The cost of getting this wrong is subtle at first. But then:
- Your content still exists, but it stops being referenced
- AI Overviews answer the question without you
- Competitors become the cited source, not because they publish more, but because they explain and understand AI systems better
Simply put: When content is thoughtfully planned, context-rich, and grounded in real expertise, AI systems can recognize its value and carry it forward. When it isn’t, visibility quietly fades.
Understanding these missteps is the first step back into relevance.
Let’s explore where brands go wrong and how to do it differently to achieve real SEO business growth.
Visibility loss in AI search results
Brand visibility in AI-generated answers is becoming much more important, considering that 85.7% of businesses are already investing or plan to invest in AI/LLM optimization. AI-overviews cite authoritative sources, and businesses must participate in forums like Reddit and Quora to build a presence that AI models favor.
Reddit matters more than most brands think today.
Reddit was cited 75% more often and appeared in 20% of Google AI Mode answers, making it the second most used source, right behind Amazon. It’s used in 24% of prompts and is ChatGPT’s fourth most-pulled source—only Wikipedia, Forbes, and Amazon appear more often.
Source: Semrush
You should track total brand mentions with a tool such as SEMrush’s AI Visibility Toolkit (or many others) and respond quickly to both positive and negative sentiment. And once you establish a strong brand presence across multiple platforms, AI systems are more likely to mention your brand.
Lower trust and brand mentions
A brand mention is any online reference to your company, with or without a backlink. Forums, reviews, articles, chats—every appearance counts. Therefore, brand mentions include every instance your name shows up online.
For example, imagine someone responds to a Reddit thread “Anyone know a good SEO agency and can tell me pricing?”:
“Alongside that, I’ve also looked into Victorious and Sure Oak — both are well-regarded and offer monthly plans, though they can be on the pricier side depending on scope.”
This helped our brand strengthen its online presence.
It’s not just about who links to you anymore—it’s about who talks about you, and where that happens.
Source: SearchEngineLand
Ensure to create authoritative content about your services (e.g. blog, landing pages, FAQs) and show up in user-driven conversations. Because potential customers want to know who uses your product, what it’s good for, and the problems it solves. It’s essential to win the first spot for your buyer keywords. And avoid publishing duplicate content that does not convert.
In our case, one buyer keyword that won #1 is “the future of link building services”.
…or “link building services for fintech”.
Plus, it would be highly valuable to create authentic Reddit threads or respond to comments. In our case, this Reddit thread about link building is highly valuable to engage in and for potential customers to find our brand:
Missed insights from AI-driven analytics
Without an AI-focused SEO strategy, websites fall behind competitors who use automation and predictive insights to fix technical issues sooner.
For example, predictive analytics about brand performance compared to competitors are very important. Plus, discovering relevant prompts and topics to target and surpass competition can make a big difference.
Here is how to uncover Total Volume across AI platforms for topics related to the analyzed prompt. In the Semrush’s prompt research tool, type in the prompt related to your industry.
You will get examples of “seo costs” topics, prompts, and the number of times some brand or domain is mentioned in AI-generated answers within the topic.
By looking at these analytics, you can have a clearer idea of new topics people are searching for. One of the potential topics related to this prompt research could be: “How to Plan Your SEO Budget for 2026”.
Ensure to create content that visitors will find valuable and look no further than that.
As Jules Davies highlighted in the Content Workshop, Visitors shouldn’t just read your content and forget who you are. No, users should read your content and think: “WOW, this is good!! I’m going to bookmark this website for later.”
Now let’s see why adaptation to LLM SEO strategy is so important.
Slower adaptation to LLM SEO strategy
As search evolves into an ecosystem shaped by AI Overviews, conversational answers, and multi-platform discovery, brands that do not adapt quickly to LLM-driven SEO strategies face a rapid decline in visibility, traffic, and trust.
Large Language Models increasingly act as both search engines and curators—pulling information from sources they consider credible, current, and context-rich. When brands fail to align their content with these systems, they are simply not included in the answers users see.
“LLMs choose content to present to users at the passage level instead of the complete page, meaning individual paragraphs, sections, or “chunks” of your content might get referenced or quoted”.
Jolissa Skow, Exploding Topics
LLMs such as Google’s AI Overviews synthesize answers directly within the search results, reducing clicks to traditional listings. If a brand’s content is not optimized for generative engine optimization (GEO) or answer engine optimization (AEO), it becomes far less likely to appear in these prominent summaries.
The result is a sudden, noticeable drop in impressions and organic reach (even if rankings remain the same). Slow adopters lose qualified traffic simply because their content never makes it into the answer layers.
For more information, take a look at: Niche Strategies for AI Search and SEO | Ep. 22
Without adapting content structure, clarity, schemas, and topical depth, brands lose their share of visibility to competitors who optimize for AI answers.
Case Study: How One Brand Future-Proofed Its SEO
To demonstrate why investing in an AI SEO strategy is worth it, let’s look at a real-world example: our partnership with a construction software SaaS company. We helped them with organic SEO and strategically optimized their site for AI-driven search.
The client was already generating traffic, but conversions were flat. Their current state was like this:
- Site architecture was outdated
- Keyword strategy was all over the place
- Many pages were low-performing on SERP
They were not optimized for exactly the kind of formatting that helps AI “read” and extract content. Their content lacked the structure and clarity that make it accessible for large language model (LLM) extraction. And they weren’t yet capturing AI-driven traffic at all.
We applied our AI-first SEO solution in the following ways:
- Redesigned their content to be LLM-friendly: using structured formatting (bullets, lists, tables), clear introductions, and takeaways.
- Injected proprietary data and insights to create original, high-value content that signals expertise.
- Realigned their website structure around high-intent user journeys, consolidating underperforming pages and guiding prospects toward action.
- Old, thin pages were either merged or reconfigured so that each page added real value, rather than creating noise.
- Instead of chasing volume, we targeted keywords with real buyer intent, tying them to stages in the funnel (awareness, evaluation, decision).
- Strengthened authority by integrating credible data sources, expert commentary, and structured schema markup, helping establish E-E-A-T (Experience, Expertise, Authoritativeness, Trust).
- Pursued backlinks from trusted construction-industry outlets (not low-value directories) to build topical authority.
- These links reinforced the content’s credibility and made it more likely that AI systems would trust and reference the site.
And these results are tied directly to AI-optimized structures, formats, and data-rich pages:
- + 74.34% increase in the client’s main conversion metric (free account registrations).
- + 50.53% more sessions, + 57.5% more users — meaning more relevant traffic.
- AI-driven traffic doubled, from 427 sessions to 865 in just six months, a +102.58% jump. This shows the power of optimizing for AI-extracted content.
- Impressions up +104%, which means their visibility in search increased significantly. Clicks also rose by 21%, revealing room for continued optimization on CTR.
- On the rankings front, top-3 ranking keywords rose 36%, while positions 4–10 soared 88%, indicating sustainable gains for high-intent, high-reward terms.
And the dramatic rise in conversions shows that an AI SEO strategy is a real business driver. By building for LLMs (with structured data and strong sourcing), the brand positioned itself as a trusted authority both for humans and AI systems.
Note: The same strategies (AI-friendly formatting, expert content, link building) can be applied to other high-competition or technical SaaS brands.
So, what are the expected outcomes if you invest in AI SEO?
- You can expect significant traffic growth, including from AI-powered search sources.
- You’ll attract higher-quality leads, because content is optimized for intent (not just volume).
- You’ll build long-term credibility with AI systems through structured, expert content and trusted backlinks.
- You’ll future-proof your SEO: As LLMs become more central in search, you’ll already be optimized for the system rather than reacting too late.
Preparing Your Brand for the Future of SEO — Next Steps
Start by adopting a multidimensional SEO approach. This means investing equally in traditional SEO (technical, on-page, and off-page) while intentionally optimizing for emerging AI-driven search experiences. Audit your existing content through an AI lens to identify which pages are well-structured, authoritative, and credible enough to be surfaced in AI-generated answers.
Next, strengthen topical authority by building clear content clusters around your core services. Refresh outdated pages with sharper explanations, expert-led insights, and structured data that helps both search engines and AI systems clearly understand, trust, and prioritize your content.
Finally, ensure your technical setup allows AI crawlers to access, understand, and trust your site. So your brand becomes a consistent, reliable source for both search engines and LLMs.
And if all of this sounds like a lot to take on, you already know who you can call — Sure Oak is here to help you future-proof your SEO.
