What schema markup matters for law firm AI citations?

Does schema markup get a law firm cited by ChatGPT or Google AI Overviews?

No, not by itself. Google's Search Central page on AI features says a page needs to be indexed and eligible for a snippet, and that no special schema.org markup or AI text file is required for AI Overviews or AI Mode. Schema is not the lever that decides which lawyer an engine names. Content, corroboration and retrievability decide that.

The same page recommends that structured data match the visible text on the page. That is the real rule. Markup that describes something the page does not show is at best ignored and at worst a quality problem. Firm AEO treats schema as a labelling layer on top of good content, never a substitute for it.

What does the research say about what engines actually read?

Engines retrieve pages and read their text. They do not rank firms by markup. Ahrefs reported in March 2026 that only about 38% of pages cited in AI Overviews ranked in Google's top 10, down from roughly 76% in mid-2025, so citation is drifting away from classic ranking signals. Martindale-Avvo's April 2026 analysis found ChatGPT matched Google's top 10 less than 25% of the time on legal queries.

Neither study tested schema. They show that what is cited differs by engine and that the cited pages are often directories and passages, which is why Firm AEO puts directory consistency and passage quality ahead of markup in every audit.

• •Ahrefs, March 2026: about 38% of AI Overview citations came from Google's top 10, versus roughly 76% in mid-2025.
• •Martindale-Avvo, April 2026: ChatGPT matched Google's top-10 results under 25% of the time for legal queries.
• •Citorian, June 2026: Super Lawyers accounted for 33% of source citations across 359 personal injury answers.

Which schema types are worth adding for a law firm?

Four types are worth the effort: Organization or LegalService for the firm, Person for each attorney, LocalBusiness details for each office, and BreadcrumbList for site structure. None is a ranking promise. Each states a fact the page already shows, in a format a machine parses without guessing.

The table below sorts common types by what they do for a law firm. The usefulness column is Firm AEO's judgment, not a measured effect, because no public study isolates the effect of individual schema types on legal citations.

Is FAQPage schema still worth adding?

It is optional, and it no longer produces a visible reward in Google. Google limited FAQ rich results to well-known government and health sites in September 2023, then announced the feature would stop appearing in Search on May 7, 2026 and removed its documentation in June 2026. No law firm site is eligible for an FAQ rich result today.

That does not make the questions worthless. A visible FAQ section with standalone answers is still a clean passage for an engine to lift, and the markup is harmless when it matches the page. Firm AEO keeps FAQ markup on its own posts for that reason, not for a rich result. A firm should never add FAQ text only to hold markup.

Can a law firm mark up its own client reviews?

A firm can display reviews, but Google's review snippet guidance says that when a LocalBusiness or Organization controls the reviews about itself, its pages cannot earn star review rich results. That includes reviews pulled onto the firm's own site through a third-party widget. Marking up self-collected reviews buys nothing in Google and invites a manual action.

There is a separate bar-rule angle. Rule 7.1 of the ABA Model Rules bars false or misleading communications about a lawyer's services, and several states regulate testimonials directly. Firm AEO is a marketing company, not a law firm, and the firm's ethics counsel decides what review content may be published. The marketing point is that schema cannot launder a review the firm may not be allowed to display.

How should a firm mark up its attorneys?

Each attorney gets one Person entity on one profile page, with name, job title, the firm as employer, and links to verifiable profiles such as the state bar directory, Avvo and Martindale-Hubbell. The goal is entity resolution: an engine that sees the same lawyer on the firm site and three directories can treat them as one person.

Consistency does the work, not the markup syntax. A Person entity that says one thing while the bar directory says another creates a conflict an engine has to resolve. The numbered list below is the order Firm AEO uses.

• •1. Confirm the attorney's name and title exactly as the state bar directory lists them.
• •2. Publish one bio page per attorney with the same name, title and practice description.
• •3. Add Person markup that repeats only what that page visibly says.
• •4. Link the markup to the bar profile and every directory listing with the sameAs property.
• •5. Re-check the directories each quarter so the entity stays consistent.

What does schema not fix?

Schema does not fix thin practice pages, missing directory listings, weak reviews or a firm that nobody mentions. The Princeton GEO paper (Aggarwal et al., KDD 2024) found that adding statistics, citations and quotations lifted generative-engine visibility by up to about 40%. That is a content result. No comparable published result exists for markup alone.

A firm choosing between a day spent on schema and a day spent rewriting a practice page so one passage answers one question should pick the page. Firm AEO's practice page rewrite post shows the mechanics. Schema comes after, as a final consistency pass.

Does a law firm need llms.txt or AI-specific markup?

No. Google's guidance says AI text files and special markup are not required for its AI features. Other engines have not published a commitment to read llms.txt as a ranking or citation input, and Firm AEO found no public test showing a measured citation lift from one for law firms.

A firm that wants one can add it at near zero cost, as long as it does not displace work that matters. Firm AEO's position is the same as Google's: it is optional, unproven and never a reason to skip the content and directory work.

How should a firm check its markup before publishing?

Run the page through Google's Rich Results Test and the Schema Markup Validator, then read the page as a visitor would and confirm every marked-up fact appears on screen. A markup error is easy to find. A mismatch between markup and visible text is the failure that matters and only a human read catches it.

Review the site after any template change, since a footer edit can silently break a firm's organization markup on every page. Firm AEO audits include a spot check of the firm's name, phone and address across the markup, the footer and each directory.

Where does schema fit in the order of work for a law firm?

Schema belongs fourth, after directory listings, practice page passages and review quality. Each earlier step changes what an engine can find and quote. Schema changes only how cleanly a machine reads facts the firm has already published, so it pays off once the underlying pages and listings are sound.

The sequence below is Firm AEO's working order, not a measured ranking of effects. A small firm with a few hours a month should finish each step before starting the next, because a clean markup layer over an unlisted, thin site gives an engine nothing worth citing.

A short firm-level setup is also quick. One LegalService block in the site template, one Person block per attorney bio page, and breadcrumb markup on interior pages cover the useful ground. After that, the time is better spent on the passages and listings that engines retrieve. Firm AEO's Canadian clients follow the same order, with the province named in the address and each lawyer's law society profile linked from the bio, and the firm's counsel decides how credentials are worded.

• •1. Claim and match every directory listing that names the firm.
• •2. Rewrite each practice page so one passage answers one client question.
• •3. Collect genuine reviews on the platforms engines read.
• •4. Add firm and attorney markup that repeats what the pages show.
• •5. Re-test the firm's name in each engine and log what changed.