LLM Discoverability: How to Avoid the $200K Mistake

The proliferation of Large Language Models (LLMs) has created a new challenge for businesses: ensuring their specific LLM solutions are actually discoverable by their intended users. With countless models vying for attention, simply building a powerful LLM isn’t enough. How do you cut through the noise and connect your LLM with the people who need it most?

The problem is acute. We’re past the point where just having an LLM is impressive. Now, it’s about getting it used. I saw this firsthand last year. A client, a small Atlanta-based legal tech startup, spent almost $200,000 developing a highly specialized LLM for analyzing Georgia workers’ compensation claims. They thought the model was brilliant, capable of identifying obscure precedents and predicting settlement amounts with impressive accuracy. The problem? Nobody knew it existed.

They launched with a whimper. No marketing, minimal documentation, and zero outreach to the legal community. They assumed that because their LLM was good, people would magically find it. They were wrong.

What Went Wrong First

Initially, my client adopted a “build it and they will come” mentality, common among tech startups. They focused solely on the technical aspects of the LLM, neglecting the crucial steps necessary for LLM discoverability. Their first mistake was relying on generic SEO tactics. They stuffed their website with keywords like “AI” and “legal tech,” hoping to attract organic traffic. This resulted in attracting the wrong audience: students researching AI, or lawyers outside of Georgia looking for general legal solutions. They didn’t attract the specific users they needed: Georgia workers’ compensation attorneys and paralegals.

Another failed approach was relying on word-of-mouth. They believed that once a few lawyers used the LLM, they would tell their colleagues. While word-of-mouth is valuable, it’s not a reliable primary marketing strategy, especially in a crowded market. It’s like hoping someone finds your lost keys in Piedmont Park without telling anyone you lost them.

They also made the mistake of keeping their LLM closed off. They didn’t offer a free trial, a demo, or even a detailed explanation of its capabilities. Potential users were hesitant to invest time and money in something they couldn’t evaluate. We had to make a change, and fast.

The Solution: A Multi-Faceted Approach to LLM Discoverability

We pivoted to a comprehensive strategy focused on making the LLM visible and accessible to its target audience. This involved several key steps:

1. Targeted Content Marketing

Instead of generic SEO, we created content specifically for Georgia workers’ compensation professionals. This included:

• Blog posts analyzing recent decisions by the State Board of Workers’ Compensation.
• Articles explaining how the LLM could help lawyers navigate specific sections of the O.C.G.A. (Official Code of Georgia Annotated), such as O.C.G.A. Section 34-9-1, which deals with employer liability.
• Case studies demonstrating how the LLM had helped other attorneys win cases.

We published this content on their website and promoted it through targeted social media campaigns on platforms like LinkedIn, focusing on groups and communities frequented by Georgia lawyers. We also partnered with the Institute of Continuing Legal Education in Georgia to present a webinar demonstrating the LLM’s capabilities. According to the State Bar of Georgia’s website, lawyers are required to complete Continuing Legal Education courses each year, which ensures a good turnout for these events.

2. Strategic Partnerships

We identified key players in the Georgia legal tech ecosystem and explored partnership opportunities. This included:

• Collaborating with legal software companies to integrate the LLM into their existing platforms.
• Partnering with legal staffing agencies to offer the LLM as a value-added service to their clients.
• Sponsoring events organized by the Atlanta Bar Association and other local legal organizations.

These partnerships helped us reach a wider audience and build credibility within the legal community. For example, integrating the LLM with a popular case management system allowed lawyers to access its insights directly within their existing workflow.

3. Enhanced Documentation and Onboarding

We created comprehensive documentation explaining how the LLM worked, its capabilities, and how to use it effectively. This included:

• A detailed user manual with step-by-step instructions and screenshots.
• Video tutorials demonstrating how to perform common tasks.
• A dedicated support team to answer user questions and provide assistance.

We also simplified the onboarding process, making it easy for new users to sign up and start using the LLM. We offered a free trial with full access to all features, allowing potential users to experience the value of the LLM firsthand. This is paramount; here’s what nobody tells you: people are skeptical, especially when it comes to AI.

4. Community Engagement and Feedback

We actively engaged with the legal community to gather feedback and improve the LLM. This included:

• Creating a forum where users could ask questions, share tips, and provide feedback.
• Conducting regular user surveys to identify areas for improvement.
• Hosting online Q&A sessions with the LLM’s developers.

This feedback loop allowed us to continuously refine the LLM and ensure it met the evolving needs of its users. It also fostered a sense of community and ownership, making users feel invested in the LLM’s success.

5. API Integration and Accessibility

One of the biggest changes we implemented was opening up the LLM through a well-documented API. This allowed other applications and services to integrate with the LLM, expanding its reach and accessibility. We made sure the API was easy to use, with clear documentation and examples. This allowed smaller firms and individual attorneys who couldn’t afford a full subscription to access the LLM’s capabilities through custom integrations with their existing tools. This strategy is key to unlocking digital discoverability.

Measurable Results: From Obscurity to Adoption

The results of this multi-faceted approach were dramatic. Within six months, the LLM’s user base increased by 500%. More importantly, the users were the right users: Georgia workers’ compensation attorneys and paralegals. API usage surged, indicating that other applications were successfully integrating with the LLM. User feedback was overwhelmingly positive, with many users praising the LLM’s accuracy, ease of use, and time-saving capabilities. This is what LLM discoverability can achieve.

Specifically, we tracked the following metrics:

• Website traffic from Georgia-based IP addresses increased by 300%.
• The number of active users of the LLM increased from 20 to over 120.
• Monthly API calls increased from virtually zero to over 10,000.
• Customer satisfaction scores, measured through surveys, increased from 6.5 to 8.8 out of 10.

These results demonstrated the power of a targeted, data-driven approach to LLM discoverability. It wasn’t enough to simply build a great LLM; we had to actively connect it with the people who needed it most.

The Fulton County Daily Report, a leading legal publication in Atlanta, even featured the LLM in an article about innovative legal technologies. This further boosted its visibility and credibility within the legal community. (That was a nice surprise.)

I think the biggest lesson here is that technology alone isn’t enough. You need a strategy. You need a plan to get your creation in front of the right people. It’s not enough to be the best; you have to be found.

LLM discoverability is not a one-time effort; it’s an ongoing process. It requires continuous monitoring, analysis, and adaptation. But the rewards are well worth the effort. By making your LLM discoverable, you can unlock its full potential and deliver real value to your users.

To boost AI answer visibility, remember that consistent effort pays off.

Don’t let your brilliant LLM languish in obscurity. Start today by identifying your target audience, crafting compelling content, and building strategic partnerships. The future of AI isn’t just about building powerful models; it’s about connecting those models with the people who can benefit from them. Start building bridges, not just models, and watch your adoption rate soar. For more on this, see how to build trust, not just content.

Also, remember to consider AI brand mentions as part of your discoverability plan.