How to Control What AI Says About Your Law Firm

How to Control What AI Says About Your Law Firm

Key Takeaways

  • AI is already answering questions about your firm — the only question is whether the answer comes from your content or your competitor’s
  • 20% of AI search responses pull from YouTube content, making Video Case Stories the most direct way to shape AI recommendations
  • You cannot game AI with keyword tricks — you shape it with depth, specificity, and years of substantive content that AI can verify
  • One attorney’s 8-year YouTube library now generates ChatGPT recommendations he never asked for — because the AI had enough evidence to trust him
  • The attorneys who control their AI narrative are filling all 21 placement spots with consistent, GPS-structured Video Case Stories

Is AI Already Talking About Your Law Firm?

Yes. Whether you know it or not, AI is already answering questions about attorneys in your practice area and your city. The question is not whether AI will mention you. The question is what it says when it does — or whether it mentions you at all.

Try it yourself. Ask ChatGPT: “Who is a good [your practice area] attorney in [your city]?” The answer will reveal one of three realities:

  1. You are recommended with specific context about your expertise
  2. Your competitor is recommended instead of you
  3. Neither of you appears, and the AI gives a generic non-answer

Most attorneys land in category 2 or 3. And they have no idea it is happening, because they are still measuring success by Google rankings and website traffic while an entirely new channel is sending clients to their competitors.

Why AI Recommends Some Attorneys and Ignores Others

AI systems do not randomly select attorneys to recommend. They follow the evidence. And the evidence comes from content — specifically, content that is deep enough, specific enough, and engagement-validated enough for the AI to feel confident making a recommendation.

Here is what that means in practice.

An attorney with 30 Video Case Stories on YouTube, each covering a specific case type and outcome, gives AI systems 30 data points to draw from. An attorney with a brochure website and zero video gives AI nothing.

Kyle Watkins understood this before AI search existed. He built his YouTube library over 8 years. Specific cases. Specific results. Real client stories. He was not optimizing for AI. He was building trust with referrals and prospects. But the side effect is that AI now has years of substantive content to reference — and it recommends him accordingly.

The attorneys AI ignores are the ones who gave it nothing to work with.

How to Shape What AI Says About Your Practice

You do not control AI the way you control your website. You cannot edit what ChatGPT says about you. But you can flood the information ecosystem with so much specific, authoritative content that AI has no choice but to draw from it.

Build a deep YouTube library. 20% of AI responses pull from YouTube. Every Video Case Story you publish adds another data point. Every transcript gives AI another source to reference. The Core 4 Converting Videos are your foundation — but the deeper your library, the more control you have.

Fill all 21 placement spots. AI does not just pull from YouTube. It aggregates signals from your Google Business Profile, directory listings, website, social media, and review platforms. When every placement tells the same story — specific expertise, specific results, real client proof — the AI signal is unmistakable.

Use the GPS Method in every piece of content. Goals, Problems, Stakes. When your Video Case Stories follow this structure, the transcripts naturally contain the language prospects use when asking AI for help. “My client’s goal was to protect his business assets during the divorce” maps directly to how real people phrase their AI queries.

Be specific about outcomes. “We helped a client resolve a $2.3 million construction dispute” is citable. “We get great results for our clients” is not. AI needs specific, verifiable claims to make confident recommendations. Brent Mayer’s consistent $100K+ case results give AI exactly this kind of citable proof.

What Happens When You Ignore AI Search

The cost of ignoring AI search is not theoretical. It is measurable.

When a prospect asks AI for an attorney recommendation and your competitor shows up instead of you, that is a lost client. Not because the prospect chose your competitor — because AI chose your competitor for them.

This is fundamentally different from losing a Google ranking. With Google, the prospect still sees a list and makes a choice. With AI, the prospect gets a direct recommendation. There is no list. There is no comparison shopping. The AI says “consider this attorney” and the prospect follows the recommendation.

A $50K personal injury referral that goes to the attorney AI recommends instead of you is $50K gone. Multiply that across dozens of AI-influenced decisions per month and the annual cost becomes staggering.

Take the Fish in the Barrel Calculator to see what that gap is actually costing your firm.

The Long Game: Why Starting Now Matters More Than Starting Perfect

The attorneys who will dominate AI search in 2028 are the ones building content today. Not because today’s content is perfect — but because AI weights depth and consistency over polish.

An attorney with 3 years of consistent Video Case Stories will always outrank an attorney who produces 50 videos in a panic next year. The compound effect of sustained content creation — more data points, more engagement signals, more evidence of genuine expertise — cannot be replicated with a sprint.

This is the same principle behind Kyle Watkins’ 8-year advantage. He did not create perfect content. He created consistent, specific, GPS-structured content over a long enough period that AI had overwhelming evidence of his expertise.

The Fish in the Barrel strategy is designed for exactly this: systematic placement of Video Case Stories across all 21 spots, building compound authority over time. Not a one-time campaign. A permanent shift in how your firm shows up everywhere prospects and AI systems look.

Frequently Asked Questions

Can I pay to appear in AI search results?

No. AI search results are not ads. You cannot buy a placement in ChatGPT’s recommendations. The only way to appear is to build content that gives the AI enough evidence to recommend you. This makes AI search more meritocratic than Google — and more rewarding for firms that invest in genuine authority content like Video Case Stories.

How do I know what AI is currently saying about my firm?

Ask. Open ChatGPT, Perplexity, and Gemini. Ask each one “Who is a good [practice area] attorney in [city]?” and “What do you know about [firm name]?” The answers will show you exactly where you stand — and how much work you need to do.

How long does it take to influence AI recommendations?

Months, not days. AI systems update their training data periodically. But the sooner you start building substantive content, the sooner you enter the dataset. Firms with 12+ months of consistent YouTube content are significantly more likely to appear in AI recommendations than those who started recently.

Does my online reputation affect what AI says about me?

Absolutely. AI aggregates signals from reviews, directory listings, social media, and website content. A firm with dozens of specific, positive reviews and Video Case Stories creates a consistent signal that AI can trust. A firm with thin content and mixed reviews gives AI reasons to recommend someone else.

Should I stop investing in Google SEO?

No. Google is still the dominant search channel. But treating Google as your only channel is increasingly risky. The smartest attorneys invest in both — and the good news is that Video Case Stories and the Fish in the Barrel strategy improve both Google SEO and AI visibility simultaneously.

Find Out What AI Knows About Your Firm

You cannot control what you do not measure. Start by seeing how many of your 21 placement spots are filled with content that AI can actually learn from.

Take the Fish in the Barrel Calculator to get your firm’s opportunity score and see exactly where the gaps are.

Written by Ian Garlic, author of Video Testimonials That Land the Big Fish and creator of the Fish in the Barrel strategy. Ian has helped attorneys shape their AI visibility and build pre-sold client pipelines for 8+ years.