What Google Just Published About AI Search, And What It Means for Your Law Firm

A general counsel sits down at her desk on a Tuesday morning. She has a complex matter. Cross-border IP dispute, tech client, tight timeline. She needs outside counsel.

In 2022, she would have called three peers for referrals. In 2026, she opens ChatGPT.

She types: "Which firms handle cross-border IP litigation for mid-market technology companies?"

Thirty seconds later, she has a shortlist. Five firms, with citations. She's already opening their websites.

Your firm might be on that list. Or it might have been considered and quietly dropped. You will never know which.

What Google Just Told Us About How That List Gets Built

On May 15, 2026, Google released a new document titled Optimizing your website for generative AI features on Google Search. It is the company's most direct statement yet on how to win visibility in AI Overviews and AI Mode.

For law firm marketers, the guidance is essential reading. Two ideas in particular reshape how firms should think about marketing in 2026, and one thing the document is careful to downplay deserves a closer look.

Idea One: The Mechanic Behind the Shortlist

Google now formally describes a technique called query fan-out. In its own words:

"A set of concurrent, related queries generated by the model to request more information and fetch additional relevant search results to address the user's query."

To illustrate, Google gives a simple example. If someone asks "how to fix a lawn that's full of weeds," the AI does not run one search. It runs several in parallel: "best herbicides for lawns," "remove weeds without chemicals," "how to prevent weeds in lawn." Each pulls its own evidence. The AI assembles the final answer from across all of them.

Now apply the same mechanic to a legal question.

A general counsel at a mid-market technology company is researching outside counsel for an acquisition. She types into ChatGPT: "Best M&A firm in New York for a cross-border tech deal."

Behind the scenes, the AI runs five or six smaller searches in parallel: "Top M&A firms in New York." "Law firms with cross-border deal experience." "Firms serving mid-market technology companies." "Recent tech M&A rankings." "Partner-level deal history."

Each search pulls its own set of sources. Chambers names a few firms. Law360 names a few more. JD Supra surfaces deal write-ups. LinkedIn shows partner credentials. Firm websites round it out.

The AI then weighs all of it. It looks for the firms that show up consistently across every sub-search, with the strongest supporting evidence. Two firms make the cut. Two get dropped.

The GC sees one clean shortlist. She has no idea six searches just ran.

This is the central shift. For twenty years, search engine optimization was about ranking for the query. One keyword, one race, one winner. Query fan-out breaks that model. Your firm does not need to rank #1 for "top M&A firm in New York." It needs to show up, credibly and consistently, across the smaller questions the AI asks on the way to the answer. A firm that ranks #18 on the head term but performs strongly across five sub-queries can be the firm that gets cited.

As we wrote at Selectio recently in The 30-Second Shortlist:

"The firms not named are not necessarily less capable. They simply did not have the signals the model needed to surface them with confidence."

That sentence captures the entire shift. Whether your firm appears on the shortlist is not a measure of quality. It is a measure of signal density across the questions AI is actually asking.

Idea Two: What Google Says You Can Stop Worrying About

The new guide also includes a useful "mythbusting" section. Google explicitly tells site owners they do not need to:

• Create LLMS.txt files or other special AI-specific markup
• Break content into small "chunks" for AI consumption
• Rewrite content specifically for AI systems
• Pursue inauthentic mentions across the web
• Overfocus on structured data

If your firm has a vendor pitching any of these as essential AI optimization services, Google has just told you they are not. Real signal-building is harder and slower than markup tricks, and Google is now on the record saying so.

What Google Has Good Reason to Downplay

The new guide also includes one line worth paying close attention to. Google addresses the terms AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) directly, and concludes:

"From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."

That is a defensible claim, but only if you accept the framing. Google is talking about its own AI surfaces, AI Overviews and AI Mode. For Google's surfaces, the best practices that have always driven SEO performance still apply.

But there is an obvious commercial reality behind that framing. Google has a multi-hundred-billion-dollar search advertising business. Every minute a GC spends in ChatGPT, Perplexity, Claude, or Gemini is a minute she is not spending in Google's index. Telling the market "this is all still just SEO" keeps the world organized around Google's view of search, which is exactly the view that has paid Google's bills for two decades.

The honest reality is this. There are now five major AI search engines that matter for law firm visibility: ChatGPT, Perplexity, Claude, Gemini, and Copilot. Each uses different retrieval mechanics, different citation patterns, and different ranking signals. Google can only speak for one of them. The cross-engine discipline of measuring and improving visibility across all five is what the industry calls AEO. Whether the label sticks or another one replaces it, the underlying work is real, and it is not the same as ranking on Google.

For a law firm that wants to be on the GC's shortlist tomorrow morning, optimizing only for Google's view of AI search means optimizing for one engine when she is choosing from five.

Three Things This Means for Law Firm Marketing in 2026

1. 1
   Topical depth beats keyword density. The old SEO playbook treated content as a series of bets on individual keywords. The new playbook treats content as evidence across a map of related sub-questions. That means practice page depth, attorney bios, case write-ups, thought leadership, and methodology pieces all matter, and they matter in relation to each other. The AI is reading them together.
2. 2
   Your authority is distributed across many surfaces. Chambers. Legal 500. Law360. JD Supra. Bar association profiles. Podcast appearances. Speaking engagements with transcripts online. Your own insights page. The AI is connecting these dots. If your firm's footprint is thin or inconsistent across them, even excellent legal work will not translate into AI visibility.
3. 3
   Your existing dashboards will not show this yet. Search Console rolls Google's AI-driven traffic into the standard Web report. ChatGPT, Perplexity, Claude, and Gemini do not show up there at all. Your firm could be invisible across four of five major AI engines and your monthly marketing dashboard would tell you everything is fine. This is not a failure of your analytics team. It is that the tools were built for a different era of search.

What to Do This Week

Most law firms are not behind on this. Google's new guidance is recent. The shift to AI-driven search is still in its early innings. Firms that act now have a meaningful window to build the signal density that AI engines reward, before the playing field crowds.

The first step is honest measurement. You cannot fix what you cannot see.

Source: Google Search Central, "Optimizing your website for generative AI features on Google Search", published May 15, 2026.