Executive Summary
Over the past year, we’ve been testing and refining how artificial intelligence (AI)—specifically large language models (LLMs) like ChatGPT, Claude, Gemini, and more—affects discovery, search behavior, and inbound lead generation.
The results have been… remarkable. What began as a small experiment in AI search optimization has evolved into one of the most impactful shifts we’ve ever seen in lead generation—both for our agency and for our clients.
Last year, we began noticing a pattern in our inbound leads. Prospective clients weren’t just finding us through Google anymore, but through ChatGPT and other LLMs. In fact, by midyear, nearly 80% of our new leads originated from AI-driven searches.
By midyear 2025, nearly 80% of all new leads were originating from AI-driven search.
We’d long invested in traditional SEO, but the data made it clear that the search landscape was shifting. As Google’s traffic plateaued, with its search share recently dropping below 90% for the first time since 2015, AI tools were becoming discovery engines of their own for prospects. Unlike Google, LLMs are engines that source and cite content based on how it is structured, trained and contextualized rather than how it ranks by keyword.
Rather than chasing trends, we focused on building a process to better understand AI and harness this new opportunity for prospecting. Our AI optimization service expands on traditional SEO principles and fine-tunes them for how large language models interpret and reference information.
Three elements proved essential:
- AI Training & Structured Data
We developed technical AI training pages and implemented structured data across our site to make our expertise clear and machine-readable. This improves how LLMs understand our brand story, service areas, and credibility.
- Schema Integration
We optimized schema throughout every site we manage—ours included—ensuring that pages, videos and resources were easily indexed not only by search engines, but also by AI models parsing structured context.
- Prompt Monitoring & Analytics
Using AI search analytics tools, we began tracking which prompts surfaced our content, how often we were cited, and how this correlated with site traffic with tools like Otterly.ai. This gives us visibility into how people were discovering brands through AI and where optimization was paying off.
Results
Within months, the impact became measurable. Our analytics dashboard showed a tenfold increase in AI-sourced traffic compared to the previous year, with visitors from ChatGPT alone growing from just a handful to dozens per month—and rising steadily.
The same trend has appeared across our client base:
- A SaaS company closed a new software deal directly from an AI-generated lead
- A precision manufacturing firm saw its monthly AI traffic surpass 300 visits—triple what it received through Google alone
- A professional services provider began receiving higher-quality leads through AI citations than from paid search
In every case, the story is consistent: while Google’s organic traffic has plateaued or declined slightly, AI-driven visibility has surged. Many marketing teams have noticed a drop in organic search traffic, but this isn’t because the traffic is disappearing. It’s simply a shift to a new source because prospects are now searching differently.
Just two years ago, someone may have searched for “accounting firms in my area” on Google; now, they’re asking ChatGPT which accounting firm best suits their organization’s needs.
Marketing Solutions
Unlike traditional search, AI prioritizes clarity, authority and relevance over volume. Structured data, schema and consistent brand mentions build a form of digital trust that LLMs use to determine which sources to cite.
For us, that has meant that, even as raw organic sessions have plateaued, the quality and intent of inbound leads have improved dramatically. People arriving from AI searches tend to be more informed, more aligned with our offerings, and further along in the decision-making process.
We continue to refine how we measure AI performance—tracking prompt trends, refining structured data, and updating our guides to help clients adapt their own marketing strategies.
AI is not a passing trend like so many other things. It’s a new layer of search, and those who integrate AI optimization early will own the conversation later.
The fundamentals still matter: strong brand storytelling, useful content, and digital savvy. But today, optimizing for AI is what ensures that those fundamentals get seen, cited and trusted in the next generation of search.
