The way people find businesses online is changing faster than most business owners realize. More than 60% of online searches no longer result in a click. People are getting answers before they ever visit a website. AI-powered search tools like Google’s AI Overview, ChatGPT, Gemini, Grok, and Claude are increasingly becoming the first stop — and sometimes the only stop — in the customer discovery journey.
So what does that mean for your business? And what can you do about it?
Keep reading to find out.
AI search is already here. Year over year, AI search traffic has grown by 527%, and by 2028, AI’s influence on U.S. business revenue is expected to reach $750 billion. Even for small and local businesses, that shift is showing up in real ways: fewer clicks, less website traffic, and customers who expect answers before they even land on your page.
But here’s the important thing: traditional SEO isn’t dead. It’s just that the discovery process has compressed. Businesses now need to optimize in two lanes simultaneously: for traditional search engines and for AI systems.
When an AI system evaluates your business, it isn’t just reading your website in isolation. It’s scanning your entire digital footprint — your Google Business Profile, your social media, online directories, reviews, articles, mentions — and trying to build confidence in what it finds.
It’s asking:
Businesses that are clear, consistent, and active across multiple platforms tend to win. Those with inconsistent messaging, stale information, or a fragmented presence tend to get passed over, and AI will surface a competitor who checks those boxes instead.
One of the biggest traps right now is the temptation to use AI to mass-produce content. More content does not equal more visibility. If your content isn’t optimized and genuinely useful, it can actually hurt you.
For years, SEO strategy encouraged keyword-heavy, search-engine-first content. What performs better today is content that sounds natural and directly answers real customer questions. Clear headings, logical structure, and plain language outperform jargon-packed copy every time.
One of the most effective tools for this are FAQ pages. Your customers are probably asking you the same questions over and over. Turn those into a well-structured FAQ — written conversationally, not robotically — and you’re creating exactly the kind of content AI systems want to surface.
You can also use AI tools to stay ahead of trends. Feed your AI tool competitor websites, industry publications, and relevant sources, then ask it to identify trending topics and customer questions. From there, AI can help you organize those ideas into a week’s worth of consistent content across platforms. Repurposing content this way builds the cross-platform consistency that AI systems are actively looking for.
If there’s one theme that runs through everything in AI-optimized marketing, it’s consistency. When your homepage, social media, Google Business Profile, and reviews all tell the same story in the same voice, AI can confidently categorize and reference your business. When those signals are inconsistent or contradictory, you get set aside.
That includes your brand voice. Think of AI as a new intern — it has no institutional knowledge of how you talk to customers. You have to train it. Write out your brand voice and tone in clear terms, then use AI to test it: “If this is my brand voice, how would I respond to a negative review? How would I write a cold pitch email?” If the output doesn’t sound like you, refine the brief.
Behind the scenes of your website, there are two elements that matter enormously for AI search: schema markup and metadata.
Schema is structured data embedded in your website’s code that speaks directly to AI systems. It tells them, in machine-readable language, exactly what your business is, who you serve, and what you offer. Think of it as a labeling system. Common schema types for local businesses include organization schema, local business schema, FAQ schema, and article/blog schema. Many website platforms include basic schema by default, but working with a professional to level it up can make a significant difference in how AI systems understand and cite your content.
Metadata — your page headings (H1, H2), meta descriptions, and navigation labels — works similarly. The H1 on your services page should clearly describe that it’s your services page. Save the clever taglines for elsewhere. These aren’t just helpful for search engines; they help humans navigate your site too.
For local businesses especially, reviews are one of the strongest trust signals you can have. AI systems are looking for:
Google reviews carry the most weight, but don’t ignore Meta, Yelp, LinkedIn engagement, and product ratings on e-commerce platforms. Every touchpoint reinforces your credibility.
One smart use of AI: feed all your reviews into an AI tool and ask it to identify your most common strengths and most frequently mentioned pain points. Those insights can sharpen your messaging and help you understand your real value proposition, straight from your customers.
For anyone wondering whether traditional SEO tactics like backlinks still hold weight in the AI era: yes, they do. Having credible third-party sites link to yours still signals trust and authority, and trust is exactly what AI systems are evaluating. Don’t abandon the strategies that have worked. Build on them.
If you’ve recently updated your offerings and AI is still surfacing outdated information, the path forward combines patience with proactive clarity. Update your schema to reflect the change. Create an FAQ that explicitly bridges the old and new: “We used to offer X, and we now offer Y.” Publish consistent, clear messaging across every platform until the AI systems catch up.
If you’re feeling overwhelmed by all of this, here’s where to begin: your homepage.
Your homepage is the hardest-working piece of your marketing. It’s often the first place both humans and AI systems go to understand your business. Before anything else, make sure it:
Once your homepage is optimized, use it as the baseline. Open your AI tool of choice and say: “Here’s my homepage. Now let’s make sure my Google Business Profile matches this messaging.” Then do the same for Facebook, LinkedIn, and anywhere else your business appears online.
The key is not to build it and walk away. Your website needs regular attention with updates, new content, and fresh reviews. Businesses that go quiet for three months lose ground that takes time to rebuild.
Before diving into analytics, get clear on your goals. “More sales” is too vague for a strategy that takes time to build. Instead, define leading indicators: more website traffic, more email signups, higher engagement on specific pages.
From there, use your AI tools to analyze the data. Cross-check insights across multiple AI platforms to validate what you’re seeing before acting on it. AI gets things wrong at least half the time, so triangulating across sources leads to better decisions.
Tools like Google Analytics 4 (GA4) can show you where visitors are getting stuck on your site. Posts that blow up on LinkedIn can be fed into AI to reverse-engineer what worked. Over time, those incremental improvements compound.
AI is raising the bar for clarity, consistency, and genuine usefulness. The businesses that win in this environment are the ones using AI to analyze, optimize, and amplify a marketing strategy that’s already built on strong foundations.
Start with your homepage. Get consistent. Earn the trust of AI systems the same way you earn the trust of customers: by showing up reliably, saying what you mean, and delivering real value.
Enter your name and email address for our State of Small Business in Massachusetts 2026 report to find out. You'll also receive weekly emails from us!
Leave a Reply