Technical SEO

Schema will not get your firm cited by AI. It will make your firm resolvable.

A controlled test across 1,885 pages found adding JSON-LD moved AI Overview citations by −4.6%. Schema still has a real job for a law firm, and it is not the one it gets sold as.

Schema markup is the most oversold item in AI search right now. It is also genuinely necessary. Both things are true, and the gap between them is where firms waste money.

Ahrefs ran the cleanest test available. They tracked 1,885 pages that added JSON-LD between August 2025 and March 2026 against roughly 4,000 matched control pages. The results:

Surface Change in citations after adding schema
Google AI Overviews −4.6%
Google AI Mode +2.4%
ChatGPT +2.2%

That is noise. Adding structured data did not move AI citations in either direction by an amount worth paying for.

Where the myth came from

You will see the claim that cited pages are around three times more likely to have schema markup. That statistic is real and the conclusion drawn from it is not.

Sites that implement thorough structured data are also sites that maintain their content, publish regularly, have working technical foundations, and get referenced elsewhere. The schema is a symptom of a well-run site, not the cause of the citation. Ahrefs’ controlled comparison is the useful test precisely because it holds site quality constant, and when you do that, the effect disappears.

Meanwhile FAQ markup, the schema type most aggressively sold to law firms, stopped producing rich results in Google on 7 May 2026. Search Console’s FAQ reporting and Rich Results Test support were removed in June. If a proposal still lists FAQ schema as a deliverable that earns search real estate, it is describing a feature that no longer exists.

What schema is actually for

One job, and it is important: making a machine certain about who your firm is.

An answer engine assembling a response about your firm has to decide whether the Smith Law Firm on your site, the Smith Law Firm in the state bar directory, the Smith Law Firm on Avvo, and the Smith Law Firm on a Google Business Profile are one entity or four. Structured data is how you answer that question without ambiguity.

That is entity resolution, not citation optimization. It does not make you more quotable. It makes you unmistakable, which matters when an engine is deciding whether the reviews it found and the results it found belong to you.

The build that matters for a law firm

Lean, accurate, and pointed outward. Four node types and one array doing most of the work.

Organization or LegalService for the firm itself, with the exact legal name, address, and phone that appear everywhere else. Not a marketing variation. The one on the bar registration.

Attorney for each lawyer, with real credentials: bar admissions, admission dates, law school, practice areas.

Person nodes for those attorneys, linked from the firm node, so authorship on your content connects to a credentialed human rather than a byline.

sameAs, which is the part most implementations skip and the part that does the actual work. It is an array of URLs stating “these profiles are also me.” For a personal injury firm it should point at:

  • The state bar listing for the firm and each attorney
  • The Google Business Profile
  • LinkedIn, for the firm and the named attorneys
  • Wikidata, if an entry exists
  • Avvo, Justia, FindLaw, Martindale, and any legal directory profile you actually control
  • Any local or trade press that maintains a profile page

Every one of those is a claim a machine can verify. A sameAs array pointing at a state bar listing is a much stronger identity signal than any amount of self-description, because the bar is an authority that does not answer to you.

The part nobody does

Schema is a claim. Consistency is the proof.

If your site says “Smith & Associates Injury Law” at one address and the bar listing says “Smith and Associates, LLP” at another, your markup has told the machine to link two records that contradict each other. That is worse than not linking them.

Before writing a line of JSON-LD, pull every profile you can find and reconcile the name, address, and phone against one canonical version. Then have the markup point at profiles that agree. It is unglamorous, and it is most of the value.

What to expect

Do not expect a citation lift. Expect that when an engine does surface your firm, it surfaces the right practice areas, the right locations, the right attorneys, and reviews that actually belong to you.

That is a real outcome, and it is the honest thing to promise for this work. Anyone selling schema as an AI citation lever is either behind on the research or counting on you being behind on it.

Sources

  1. Search Engine Journal, Schema markup didn’t move AI citations in Ahrefs test, 1,885 pages against ~4,000 controls, Aug 2025 to Mar 2026.
  2. The HOTH, Google killed FAQ rich results, on the May 2026 deprecation and June tooling removal.
  3. AirOps, The Complete AI Search Playbook for Marketers, on schema-type correlation with citation.