It starts with an audit. I look at where your business currently stands in both AI search and traditional Google: what AI engines say about you, where your competitors appear, and what gaps exist in your content. From there, I build a plan that combines content strategy with technical SEO best practices, the work that makes your site easy for AI engines to understand, trust, and cite. Then we produce. I rework existing pages and create new ones designed to answer the questions your customers actually ask. After that it's a cycle: monitor what AI engines pick up, see what's working, and iterate. AI search shifts quickly, so the optimization is ongoing rather than one-and-done. You get monthly reporting in plain language the whole way through.

An AI SEO agency gets your business recommended when customers ask AI engines like ChatGPT, Claude, and Google's AI Overviews who to hire. AI SEO (sometimes called AI search optimization or generative engine optimization) is the practice of structuring your content and authority so large language models cite you in their answers. It overlaps with traditional SEO but isn't the same thing. Traditional SEO optimizes for Google's ranking algorithm: keywords, backlinks, and where you sit in a list of blue links. AI SEO optimizes for how AI engines source and trust information when they build a direct answer, usually naming just two or three businesses instead of showing ten links.

The technical foundations overlap, which is why good work pays off in both channels at once. One client's AI-referred traffic grew 170% over 11 months of this work, and the same content restructuring lifted their Google performance too: clicks up 28% and impressions up 43% in a single 28-day window. As an AI SEO company, that dual result is the whole point. One investment, two channels.

The fundamentals: write content that directly answers the specific questions your customers ask, keep your business information consistent everywhere AI engines look, and make sure your most important pages are structured so a machine can parse them cleanly. Freshness matters too, AI engines favor information that looks current and maintained. Authority signals from across the web tell the AI whether to trust you over a competitor. Those are the principles any business owner can act on. The execution, how you structure content so AI engines actually quote it rather than skim past it, is where the real work lives, and it's what separates a page that gets cited from one that gets ignored. That's the part I handle for clients.

It depends, and any consultant who gives you a fixed number is guessing. The honest answer: it varies with your industry, how competitive your niche is, your current authority, and how much content groundwork already exists. A local service business in an uncontested niche moves faster than a crowded B2B category. That said, AI SEO is usually faster to show movement than traditional SEO. In one controlled study I ran on content structure, restructuring a client's pages produced a 3.5x lift in impressions, and the increase in AI mentions started showing within weeks, not months. Most clients see initial traction within 30 to 45 days, with fuller visibility building over a 90-day window. The work compounds: once AI engines start citing you, they tend to keep doing it.

I'll make the case for mine. My name is Jovan Ristić, and I've spent over a decade in SEO and content strategy. I started building AI into my workflow back in 2021, before ChatGPT even launched, using it for production while watching it reshape search at the same time. I saw the shift coming and adapted before most agencies knew there was anything to adapt to. That head start shows in the results: 170% growth in AI-referred traffic for one client over 11 months, 20% share of all AI citations in another client's field within a single month, and a 3.5x impression lift from a controlled study on content structure. Those are my own client numbers, not borrowed industry charts. When you work with me, you work with me directly, no account managers, no handoffs to junior staff.

It depends on the business and what you need. A local service business with a handful of pages is a different scope than a B2B company competing in a crowded category across multiple markets. Rather than a one-size-fits-all package, I scope the work to your situation and your goals, and we find a structure that fits. The free visibility check is where we start: I show you where you stand today, and from there we can talk about what makes sense for your budget and your priorities.

Google's AI Overviews now appear on roughly half of all searches, up sharply over the past year, and on informational and how-to queries that figure climbs past 70%. Showing up in them comes down to a few things: content that answers a question quickly and clearly, credibility signals that tell Google your information is trustworthy, and structure that makes your page easy to summarize. Being cited in an AI Overview has become the new position one, it puts your brand in front of the customer even when they don't click. The businesses winning these placements are the ones that adapted their content for how AI reads and synthesizes, rather than how the old ten-blue-links algorithm ranked.

They already have, fundamentally. With AI Overviews appearing on close to half of all queries and zero-click rates on some search types climbing past 65%, the old game of ranking number one and collecting the clicks is breaking down. Click-through rates on affected queries have dropped anywhere from 15% to 60% depending on the study. But the picture isn't all bad, the visitors who do click through after seeing an AI Overview convert at far higher rates, because the AI has already qualified their intent. The shift is this: traffic alone is no longer the only measure of visibility. Brand mentions, citations, and how often you appear inside AI answers now matter just as much. SEO in 2026 is about being the source AI trusts, not just the link that ranks.

The work splits into two halves. First, the content itself has to earn the citation: it needs to answer the query directly, demonstrate real expertise, and be specific enough that Google trusts it over a competitor. Vague, padded content gets passed over. Second, the technical and authority layer: clean structure Google can read, consistent signals across the web, and freshness. Worth knowing, transactional and product searches still trigger AI Overviews far less often (e-commerce queries see them only about 4% of the time), so if your business depends on those, the click economics are more protected. For everyone else, especially B2B and service businesses where AI Overview exposure runs as high as 70%, adapting now is the difference between staying visible and quietly losing ground.

The businesses getting this right are shifting budget from pure traffic-chasing toward content that earns AI citations and protects against zero-click erosion. Projections suggest that by the end of 2026, a quarter of organic search traffic will move to AI chatbots and assistants, that's not a trend to wait out, it's a structural change. Practically, that means investing less in thin content built to rank for volume, and more in deeper, credible pages designed to be the source AI cites. It also means tracking new metrics: not just rankings and clicks, but how often AI engines mention you. The good news is that the same investment usually lifts both channels, so adapting your budget for AI search rarely means abandoning what works in Google. It means aiming the spend at what now matters in both.

It's still a small field, most SEO professionals are only now catching up to AI search, which is part of the opportunity for businesses that move early. My name is Jovan Ristić, and this is my specialty. I've spent over a decade in SEO and content strategy, and I started working with AI as part of my stack in 2021, before ChatGPT even launched, for both content production and search optimization. The documented results: 170% AI-referred traffic growth for one client, 20% share of AI citations in a field within a month, and a 3.5x impression lift from a controlled content study. The specialists worth working with are the ones who can show you their own numbers, not just talk about the trend.

Almost certainly not, and that's the opening. Most businesses still have no idea whether AI engines mention them, let alone a strategy to influence it. The field is early enough that the first business to establish itself as "the answer" in a local market or niche is very hard to displace later. That window is open in most industries right now. The competitors who wait until AI search is obviously mainstream will be trying to claw back ground that early movers already own.

You can handle the basics if you understand how AI engines source and trust information, how to structure content for them, and how to track where you're being mentioned. Plenty of business owners make a start. Where it gets hard is knowing which engines matter for your specific industry, structuring content so it actually gets cited rather than skimmed, and reading the signals to know what's working. That's the difference between effort and results. A specialist shortens the learning curve from months to weeks and helps you avoid publishing content that AI engines quietly ignore, which is the most common and most expensive mistake.