Start with a client decision
Choose a genuine matter type and jurisdiction. Map the buyer’s question to a useful practice page, then inspect whether that page and its supporting evidence are accessible. Avoid creating a new page for every wording variation.
An answer is a snapshot
Keep the complete answer, product mode, date and question. Separate mentions from citations and check whether cited material supports the statement. These observations tell you what happened in that run, not the hidden reason a firm was selected.
Work on information you can verify
Correct service descriptions, link relevant biographies, explain consultation steps and maintain technical access. Use genuine publications or listings where relevant. Neither a schema snippet nor a certain word count guarantees a recommendation.
Common questions
What is AEO for law firms?
Work to make a firm’s information findable and useful for answers to relevant client questions. It combines measurement, clear public content and technical accessibility.
What is GEO for law firms?
A related term for optimizing information for generative answers. It describes an area of work, not a separate universal ranking system.
How do law firms appear in ChatGPT?
A firm can be named in an answer or have a source linked in a search response. Record the product mode and inspect actual citations; a named mention alone does not identify its source.
Can ChatGPT recommend law firms?
It can name firms in response to hiring questions. The accuracy, suitability and source support must be checked; an AI suggestion is not professional endorsement.
How is AI search different from traditional SEO?
Traditional results typically offer ranked links. Generated answers may synthesize sources and name a smaller set of options. Measure answer mentions and source citations separately from ordinary search positions.
Does traditional SEO still matter?
Yes. Accessible, relevant pages and internal links remain useful foundations. Google explicitly says its existing SEO practices apply to AI features. Do not assume Google documentation describes every other product.
What information helps explain a law firm?
Accurate practice descriptions, jurisdictions, lawyer biographies, credentials, offices and consultation steps help establish what the firm actually offers. Keep the same facts consistent across public sources.
Do reviews affect AI visibility?
Reviews can be part of the public information encountered in a search experience. Seeing a review source does not prove a ranking effect. Use genuine reviews with appropriate permission and context.
Do legal directories affect AI visibility?
A directory can be cited or contain information about a firm. Inspect whether it actually appears in the observed answers and whether the listing is accurate. No directory guarantees recommendations.
Do news mentions affect AI visibility?
A relevant article can be a discoverable source. Its existence alone does not establish a causal visibility improvement; report what was actually cited.
Can individual lawyers appear?
Yes, an answer may name an individual rather than a firm. Track both separately and check practice scope, affiliation and credentials against verified public information.
How do engines choose which firms to mention?
Full selection processes are not public. Product documentation and observed answers can inform hypotheses, but cannot reveal all retrieval, context-selection or generation decisions.
How should a law firm measure visibility?
Use a versioned panel of realistic buyer questions, planned paraphrases, repeated runs, multiple engines and multiple dates. Save outputs and report counts, citations, accuracy and failures separately.
How often should visibility be tested?
Agree a repeatable cadence based on the scope and review capacity. A monthly retest is one planning option; there is no universal evidence-backed interval that guarantees useful movement.
Is recognition the same as organic discovery?
No. Asking about a named firm tests recognition. Asking who can help without naming the firm tests discovery. Keep the two panels and their metrics separate.
Sources and scope
Platform documentation supports the technical context. Our page plans and measurement protocol are proposed methods. They do not demonstrate customer results or reveal private ranking systems.
Google: AI features and your websiteOpenAI: crawler controlsAggarwal et al.: GEO — Generative Engine Optimization (2024 revision)