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Travis Luther

Not Every AI Engine Is Worth Winning

ChatGPT sends about three of every four AI referrals to websites. Gemini, Perplexity, Copilot, and Claude split what is left. If your firm spends equal effort on all of them, most of it is going to the wrong place.

ai lawyer recommendation engine by traffic

When a potential client asks AI to recommend a lawyer, one of several engines answers: ChatGPT, Google's AI, Gemini, Perplexity, or Copilot. Two things about those engines decide how a firm should spend its effort. They do not send the same amount of traffic, and they do not agree on who to recommend.

Where the traffic actually goes

Of all the traffic AI tools refer to websites, ChatGPT accounts for roughly 75 percent. Everything else is a fraction of that.

  • ChatGPT: 74.8%
  • Gemini: 11.6%
  • Perplexity: 7.2%
  • Copilot: 3.5%
  • Claude: 2.6%

Source: SE Ranking, AI traffic study, June 2026.

One caveat, in Google's favor. Its referral number understates its true reach, because Google's AI Overviews sit inside ordinary search results rather than a separate chatbot. Those Overviews appear on an estimated 25 to 30 percent of informational searches and reach billions of people a month, so Google belongs in the same tier of importance as ChatGPT even though its referral share looks smaller (Similarweb / Presenc, 2026).

The practical version is short. ChatGPT and Google are where the clients are. Perplexity, Copilot, and Claude are real, but they are rounding errors next to those two.

The engines do not agree with each other

We tested this directly. Across the personal injury firms in our Denver study, we asked all five engines the same questions and compared their answers. 82 percent of the firms named appeared on only one engine. Just 0.3 percent showed up on all five. A firm recommended by Perplexity was usually invisible on ChatGPT for the same question.

There is no single "AI ranking" to win. There are five, they barely overlap, and only two of them send meaningful traffic.

Put the two findings together and a common mistake becomes obvious. A firm can rank at the top of the engine that sends it almost no clients, see that result, and conclude it is winning AI. It is the old Bing problem in a new form. A number-one position is worth only as much as the traffic behind it.

What this means for a law firm

  • Measure each engine separately. A single blended "AI visibility score" hides the only thing that matters, which is how you do on the engines that send clients.
  • Prioritize ChatGPT and Google first. They are the hardest to get named on and they carry almost all of the traffic and reach. Effort here returns more than effort anywhere else.
  • Do not celebrate easy wins on small engines. Appearing on Claude or Perplexity is real, but weigh it against how little traffic it sends before you treat it as success.
  • Check where you actually stand. Because the engines disagree so completely, you cannot infer your position on one from your position on another. You have to look at each.

None of this is theoretical. The engines are measurable, one at a time, and the gap between where a firm thinks it stands and where it actually stands is usually large. The firms getting recommended did not win "AI." They won the two engines that count.

See where your firm stands

Most firms have never checked. They assume that because they rank on Google, they show up in AI, and the two have almost nothing to do with each other. The only way to know is to look, engine by engine.

That is what our audit does. It measures your firm on ChatGPT, Google, Gemini, Perplexity, and Claude separately, shows you exactly where AI recommends you and where it names a competitor instead, and tells you which gaps are worth closing first.

Run your firm's AI visibility audit and see the results for your own market.

Written by Travis Luther

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