If your firm has been treating rich snippets vs AI Overviews as a choice between two strategies, the good news is that it was never a choice at all. Both are earned by the same underlying work. The bad news is that the results page where both of them live has changed considerably in the last eighteen months, and most firms are still operating on advice that expired.

Here is a test worth running before you read any further. Open a new browser window and search for a question your firm answers every week. Not your firm’s name. An actual client question, phrased the way a client would phrase it.

What you will probably notice is that the page you remember, ten blue links in a tidy column, is not what came back.

Most partners we speak with have not looked at that page in months. They have, however, received a steady stream of advice about it: publish more blogs, add the attorney’s byline, add an FAQ section, and now, urgently, do something about AI. Four instructions, no explanation of how any of them connect.

They do connect. Below are the three assumptions we most often find getting in the way, and what is actually true underneath each one.

Rich Snippets vs AI Overviews: What’s Actually on the Page

Start with the vocabulary, because it gets used loosely.

A rich snippet is the extra detail Google pulls into your listing to make it wider and more informative than a plain link. The author’s name. The publication date. The breadcrumb trail showing where the page sits on your site. Your office location and hours.

An AI Overview is the summarized answer Google generates at the top of certain results pages, assembled from several sources and displayed with links back to them.

Both depend on something called structured data. Google can read the visible text on your page perfectly well, but structured data is a separate, machine-readable label that states explicitly what each piece of that text means, rather than leaving Google to infer it from context and proximity. Google’s own documentation describes this as the difference between inference and instruction.

An analogy that tends to land with attorneys: an unlabeled page is a box of documents. Structured data is the index and the tabs. Same documents either way. Radically different retrieval time, and a very different likelihood that anyone finds the right one.

Myth 1: The Attorney Byline Is Enough

This is the most common version of a half-completed job. The firm invests in content, someone correctly points out that Google cares who wrote it, and the attorney’s name goes on the post. The box gets checked.

A byline is visible text written for a human reader. It tells a person that Jane Doe wrote this article. It does not tell a machine that Jane Doe is a licensed practitioner with a verifiable bar profile, a named role at your firm, and fifteen years of experience in the specific area of law the article covers.

That distinction matters more in legal content than almost anywhere else. Legal information falls into the category Google treats as consequential to a reader’s finances, health, or safety, which is exactly where its standards for who stands behind the content are highest. E-E-A-T, the shorthand for experience, expertise, authoritativeness and trustworthiness, is less a checklist than a question: can this claim be traced to a real person who is genuinely qualified to make it?

The byline answers that question for humans. Structured data answers it for everything else. We covered the technical side of this in How Rich Snippets Get Your Blog Cited (and Credited) by AI, and the broader credibility picture in How E-E-A-T Influences Generative Engine Visibility.

Myth 2: FAQ Schema Still Earns Rich Snippets

This one requires a correction, and it is recent enough that plenty of agencies have not caught up.

For years, adding FAQ markup to a page could produce an expandable list of questions directly beneath your listing in Google. It was a genuinely effective tactic. Firms bought it, agencies sold it, and for a while it worked.

It no longer does. Google retired FAQ rich results in Search as of May 7, 2026. The dropdown does not appear for any site, including the narrow set of government and health publishers that had retained eligibility after Google first restricted the feature in 2023. Nobody qualifies now.

Two clarifications, so this does not cause more alarm than it warrants.

First, if your site has FAQ markup on it, leave it alone. The schema type is still valid and Google has stated that unused structured data does not create problems in Search. There is no cleanup project here.

Second, and more usefully: the markup was never the valuable part. The questions were. A real person had a real question, your page answered it clearly, and the answer sat somewhere a machine could locate and quote. Google removed a display feature. It did not remove the value of answering the question.

Meanwhile, the rich results law firms can still earn are unglamorous and worth having: article details including author and date, breadcrumb navigation, organization and location information, and event listings for CLEs or webinars.

Myth 3: AI Overviews Need Their Own Strategy

The most expensive myth of the three, because it tends to arrive attached to a proposal for a separate service line.

Google’s published guidance on AI features is unusually direct on this point. There are no additional requirements to appear in AI Overviews or AI Mode, and no special optimizations necessary. To be shown as a supporting link, a page needs to be indexed and eligible to appear in Search with a snippet. That is the entire technical bar.

This is not an argument for doing nothing. Google also notes that AI Overviews only appear when its systems judge them additive to ordinary search results, which means they frequently do not appear at all. And both AI Overviews and AI Mode may use a technique called query fan-out, issuing multiple related searches across subtopics to build a response, which surfaces a wider and more varied set of supporting links than a single classic search would. The practical translation for a law firm is that covering a topic thoroughly beats optimizing one page for one phrase.

But the strategic conclusion is straightforward. The page that earns a rich snippet and the page cited in an AI Overview are the same page. This is why we treat generative engine optimization as the completion of foundational SEO rather than a replacement for it, and why our work on AI Overviews for law firms looks a great deal like our work on everything else. There is no separate AI checklist. There is a well-structured, properly attributed page, or there isn’t.

What This Means If You Publish Four Blogs a Year

Most firms reading this are not publishing weekly, and are not about to start. That is a reasonable constraint, and the advice changes accordingly.

Volume is not the lever. Four complete pieces that fully answer questions your clients actually ask will outperform twenty thin posts written to fill a calendar, under classic search results and AI features alike. Both systems are looking for the same thing: a clear answer from a source they can verify.

Three questions to put to whoever manages your website:

• Does our blog identify its author as a specific, credentialed attorney in a way a machine can read, or does the schema say “admin”?
• Are we answering the questions clients actually ask us, in the words they use, somewhere a search engine can find them?
• Has anyone looked at what our results page actually returns for our top practice-area queries this year?

That last one is usually where the conversation gets interesting. The gap between what a firm assumes its listing looks like and what it actually looks like is often the whole problem. Sorting out rich snippets vs AI Overviews matters far less than finding out which of them your firm currently appears in, and closing the distance. That is the substance of our legal content marketing work.

Frequently Asked Questions

Do I need special schema to appear in Google’s AI Overviews?

No. Google states there are no additional requirements or special optimizations beyond being indexed and eligible for a snippet. Strong structured data still helps, because it makes your content easier to parse and correctly attribute, but there is no AI-specific markup to install.

Does FAQ schema still create the dropdown under my listing?

No. Google retired FAQ rich results in Search as of May 7, 2026. Existing markup is harmless and the schema type remains valid, but it will not produce a visible result for any site.

Is our attorney byline enough to establish authorship?

Not on its own. A byline is visible text for human readers. Search engines and AI systems rely on structured data to connect that name to verifiable credentials: a bar profile, a role at your firm, a documented professional history.

Ready to see what Google actually shows?

Most firms have never looked at what their own search results return, which makes it difficult to know what is working. 9Sail can run a rich-results and search-appearance audit across your blog and practice-area pages, showing exactly what Google and AI engines currently see on your site, and what they don’t.

Book a call and we’ll walk you through it.