Case Study — Professional Services
How a Title Protection Firm Grew Inbound Leads 24% Through AI Visibility
A title protection firm serving US homeowners saw a 24% increase in inbound leads over seven months after addressing the AI visibility gaps that were keeping them invisible in buyer research.
- Company:
- A title protection firm serving homeowners across the US
- Platforms tracked:
- ChatGPT, Gemini, Perplexity, Claude
- Inbound leads:
- Up 24% over seven months vs. the same seven months the prior year
- Engagement length:
- Approximately seven months
- Starting point:
- Largely absent from AI answers to title protection questions
- Signal gaps closed:
- Four, including blocked AI crawler access
The Company
A title protection firm serving clients across the US, the company helps homeowners protect against title fraud. Their business runs primarily on inbound leads from homeowners researching their options before committing.
For a title protection company, trust and expertise are the primary buying criteria. Before a buyer commits, they research. And increasingly, that research starts with a question to an AI tool rather than a Google search. The company came to QuestionFuel because it was investing in its reputation and expertise but had no visibility into whether those signals were reaching buyers who asked AI for recommendations.
What AI Was Saying Before
Before the engagement, the company was largely absent from AI answers to the questions homeowners ask when researching title protection. The AI tools that were increasingly shaping first impressions had no reliable picture of what the firm did, who it served, or why it was credible.
The initial audit identified four primary signal gaps: the website described services in general terms without clear differentiation, the firm lacked third-party citations that would signal credibility to AI, AI crawlers were blocked from accessing the site, and there was no structured content for AI to extract and attribute expertise signals from.
Title protection is a category where buyers do significant research before committing. A firm with genuine expertise that is invisible to AI is losing consideration before the conversation even starts.
The Work
QuestionFuel began with a full AI Visibility Audit, testing the questions buyers in this company's market were actually asking AI tools and documenting where the company appeared, where it did not, and why.
The primary fixes addressed each of the four gaps directly. Service pages were rewritten in specific, operational language that named what the firm protected against, who it served, and what made it credible. AI crawlers were unblocked, giving ChatGPT, Gemini, Perplexity, and Claude access to the site for the first time. Organization and FAQ schema were added so AI could extract and attribute structured facts about the firm. And content was built around the specific questions homeowners ask when researching title protection, giving AI something concrete to pull from and cite.
The work focused on making the firm's expertise legible to AI: translating what the firm actually knew and did into the structured, specific signals that allow AI to recognize expertise and include it in a recommendation.
The engagement ran approximately seven months, aligning with the measurement window used to track the inbound lead increase.
The Result
Over seven months, the firm saw a 24% increase in inbound leads compared to the same seven months the prior year.
The client attributed the increase to the AI visibility work and the website structure changes made during the engagement. Inquiries coming in were more pre-sold than before. Buyers who had already found the firm through AI answers arrived with a higher level of trust and less need to be convinced of credibility.
Over the course of the engagement, the firm began appearing in AI answers to questions it had previously been absent from. The before/after shift was visible across platforms.
Results vary by market and starting point. This is not a guarantee of specific outcomes.
What the Client Said
“QuestionFuel helped us turn our expertise into a real competitive advantage. We started showing up with clear, authoritative answers right when people were looking.”
What This Means for Professional Services Firms
The pattern in this engagement is common across professional services: a firm with genuine depth and expertise that was not showing up in AI answers, not because the expertise did not exist, but because it was not structured in a way AI could read, extract, and recommend.
For professional services firms where trust is the primary buying criterion, AI visibility is not a marketing question. It is a business development question. Buyers who find you through an AI recommendation are already primed to trust you. Buyers who never encounter your name in their research may never reach you at all.
If you are a professional services firm and want to understand how AI tools describe your expertise today, start with a free AI Visibility Snapshot. You can also schedule a conversation.