I don’t know about you, but to me it feels like the entire marketing world is in scramble mode around how search is changing.
And it’s not without reason. The rise of AI-powered search through tools like Google’s AI Mode (formerly Google SGE), ChatGPT Search (still in Beta mode), Bing’s Copilot Search and Perplexity is rapidly changing the way content is discovered, interpreted and delivered.
In response, some companies are tearing down their websites, gutting their content strategies and running headfirst into whatever feels “AI-optimized.” But a total reset isn’t always the right answer. Sometimes, the best move is a strategic step back and a fresh look at your AI SEO strategy.
When you look closely at how AI chooses content — what it pulls, summarizes and serves up — the criteria aren’t revolutionary. They’re rooted in clarity, substance and structure. In other words, the fundamentals still matter most.
Search is undergoing a massive transformation, but panic is rarely the best strategy. In this post, we’ll give you a quick introduction to AI search as well as our “no panic” guide to making your site robot-ready.
What Is AI Search?
AI search is a method of finding information online that is fundamentally different from the way we’re accustomed to using traditional search engines, like Google, and receiving answers (the ten blue links model).
AI search uses machine learning and natural language processing (NLP) to understand what searchers are really asking (even if it’s spelled wrong or more context is needed), then reads through multiple sources and writes you a custom answer rather than offering recommendations via links.
Why You Need to Care (But Not Panic) About AI Search
Whether you’re bullish on AI integration or taking a wait-and-see approach, it’s important to understand and plan for what AI means for search, which has been the foundation of inbound marketing since the first person asked Jeeves, “What’s all this Y2K business about?”
Here’s what we know about AI search:
Yes, the Traffic Shift Is Real
Early data on how AI search affects click-through rates is in, and it is having an impact on traffic. According to Advanced Web Ranking data, more than 55% of all Google search engine results come with an AI overview, which naturally results in fewer direct clicks.
- Informational queries are seeing the biggest shift. People get answers directly without clicking through.
- Commercial searches still generate significant click-throughs because people want to compare options and make purchases.
- Complex research tasks often drive more engagement as AI search introduces people to sources they might not have found otherwise.
In short, it’s not that traffic is disappearing altogether, but the type of traffic you’re likely to see will look different. You’re going to see fewer casual browsers and more qualified visitors if you’re positioning yourself to show up in AI search.
Wait.
I’m going to say that again. AI search represents an opportunity to attract fewer clicks overall, but more qualified visitors than before. The truth is, AI search won’t eliminate the need for trustworthy, original sources; it will amplify the platforms doing it best.
When AI search references your content, it’s like getting a recommendation from a highly trusted source. Users who do click through are often more engaged because they’ve already been pre-qualified by the AI’s filtering.
What AI Search Actually Rewards
As AI search evolves, there’s a fundamental shift in how you should view your website. When you set up your site — three, five or ten years ago* — you designed and wrote with your human audience in mind. That’s still crucial, but your website now needs to serve both people and the AI systems that increasingly influence how your content gets discovered.
*Sidenote: if you’re the ten-year person, hit us up. It’s time for a redesign.
The good news is that AI systems reward many of the same things that intentional digital marketers and SEO experts are already doing:
- Content clarity and authority. Clear, well-structured content that answers specific questions is just as important in AI search as it is for Google’s E-E-A-T algorithm. Discover what your customers want to know, and then offer clear answers.
- Authority. AI is looking for credible sources and demonstrated expertise. Bring on your SMEs, thought leadership and expert perspectives.
- Depth and breadth. Go deep on your areas of expertise and spread that information across your website and social channels. Cover topics thoroughly and comprehensively.
Keep Doing (Double Down):
For companies that already have a robust SEO strategy, these things will feel natural.
Keep Telling Stories
One of the biggest misconceptions in the AI search is that storytelling no longer matters. That couldn’t be further from the truth.
Good storytelling with intentional narratives that walk the reader through a clear point of view is one of the strongest tools you have for building context. And context is exactly what AI tools need to understand and summarize your content.
When AI systems evaluate which sources to pull into a response, they’re looking for content that clearly and confidently explains a concept, supports it with evidence or examples, and leads to a takeaway. In other words: a well-told, well-organized story.
That’s why narrative thinking still matters. But it can’t be buried in long-winded paragraphs or vague intros. The content has to be organized and accessible, or it gets skipped.
Keep (and Beef Up) Your Blog
While you want your entire site to tell the story of your brand, your blog is a great place to go deep into the type of storytelling that AI search loves. Make sure you’re using it to your full advantage by featuring:
- Laser-focus on user intent. When a user types in a query like “How to crochet a scarf using alpaca wool,” instead of targeting keywords like “crochet” and “alpaca wool,” AI search analyzes the user’s intent. This user wants to learn how to do something (crochet) and wants to use a specific material (alpaca wool). AI search will give the users a step-by-step process and link out to sites that align with their needs.
- Quality is king. Focus on going deep into your areas of expertise. Publish how-tos, case studies and guides that directly answer user’s questions. Make sure to include original research and data along with unique insights and expertise. Tell stories about how your services and products are used in the real world.
- Feature solid structure. Use clear headings, subheads, lists and FAQs to ensure you’re giving direct answers to users’ questions.
Updates to Start Now:
Here’s where to start making changes as you optimize for AI search.
Start Updating Your Schema Markup
Schema markup is the code added to your website to help traditional search engines and AI understand the content and context of what’s on each page. This hidden code enables AI to better understand your content. There are nearly 800 types of schema. Focus on these four to better align with what AI search engines are looking for:
- FAQ Schema. Since people constantly ask AI systems questions, properly marked FAQ content makes you a go-to source for AI-generated responses.
- Organization Schema. Establishes your business identity with details like name, location and contact info. AI systems need to understand what entity is behind the content to assess trustworthiness and relevance.
- Product Schema. Label your products with price, availability, reviews and brand information. When someone asks AI to “find a good laptop under $500,” it needs to identify which text represents the price, product name and quality ratings.
- Article Schema. This identifies your blog posts and informational content with author, publication date and topic details. AI systems need to cite sources and understand how current and authoritative information is.
Websites with clear schema markup become the trusted sources AI systems reference, while those without get overlooked, not because their content is poor, but because AI can’t understand what it’s looking at.
Start Building Out Product and Service Pages
AI search engines are looking for depth. If you list products on your website, add more content to your product pages. Update with things like stories, examples of use and even frequently asked questions about products.
Start to Broaden your Scope Beyond the Website
AI search goes deep and wide. You want to show up online in multiple ways and places.
- Branch out of your typical social channels. Create brand story-related content to post on Reddit and Threads as well as LinkedIn and Instagram.
- Launch a PR campaign that includes sending press releases announcing product launches or rich stories that feature your brand.
Consider Retiring
Here’s what’s not working anymore:
Thin content pages. All those location pages with nearly identical content? Product pages with just a title and price? AI search is going to gloss right over those. Instead, consolidate thin pages into fewer, more valuable pages that actually help users.
Keyword-stuffed content. You really shouldn’t be keyword cramming anyway; traditional search has long since deprioritized sites that stuff. But if you’re still trying to jam awkwardly phrased keyword phrases into content: Stop doing that. AI understands context and intent. Content that reads naturally will perform better.
Overly promotional content. See our storytelling tip above. AI wants content that is helpful, educational and leads with value not a hard sales pitch.
Content silos. Pages that don’t connect to anything else on your site may confuse AI search stems. Every piece of content should link to related topics and support overall authority in your key areas of expertise.
Analyze, Adjust and Just Breathe
AI search is a moving target, and things are changing at a breakneck pace. But that doesn’t mean you should break your neck (or your bank) by tearing down what you’ve built to chase every new AI trend and tool.
As you make changes to your site and practices, monitor what’s getting traction, where traffic is coming from and where you’re showing up in AI search outputs. Use that data to build on what’s working and pivot away from what’s not.
The companies that will thrive in the AI search era aren’t the ones that move fastest, they’re the ones that strategically and with intention. By focusing on clarity, authority and genuine helpfulness in your content, you’re not just adapting to AI search; you’re building a foundation that will serve you regardless of how search continues to evolve.
The future of search may be artificial, but the intelligence behind great content strategy is still very much human.
