lawmarketing.ioAEO for law firms

Editorial plan

What we publish, and why

We are building the reference library on answer engine optimization for attorneys: what it is, how the engines choose, how the rules apply, and what the questions in each practice area actually look like. We publish the plan because a firm evaluating us should see what we think matters and hold us to it. Every page is dated, attributed, and written to be checked.

Solomon Timothy, Founder, lawmarketing.ioPublished

The standard every page must meet

  • The direct answer is in the first paragraph. A reader, or an engine, should not have to scroll for it.
  • It names its jurisdiction or says it is general. Legal content without a stated jurisdiction is wrong for most readers.
  • It is attributed to a named person and dated, with the date updated when the content changes.
  • It states what is uncertain. A page that claims to know more than it does is worth less than one that marks its limits.
  • It cites nothing it cannot support and names no client, result, or statistic without a source.
  • It passes the same bar-rule review we apply to client content.

Published

  • What is Answer Engine Optimization for law firms. The definitional page.
  • AEO versus SEO. The comparison every managing partner asks for.
  • How AI chooses which lawyers to name. Our working model and monthly test method.
  • AI content and state bar advertising rules. The compliance page.
  • One firm per practice area, per market. The engagement terms.
  • Twelve practice area pages, each with the client question set and the attorney questions for that area.
  • An AEO glossary for attorneys.
  • Schema markup for law firms: what matters and what does not.
  • How to get cited by ChatGPT and other answer engines.

Next

  • Per-engine notes. How ChatGPT, Gemini, Google's AI Mode, and Perplexity each differ in what they cite for legal questions, updated as they change.
  • The audit, explained. Exactly what the free AI visibility audit checks and how to read the result.
  • Directory and listing hygiene. Which third-party listings engines actually use and how to make them agree.
  • Multi-office firms. Why shared templates across locations suppress visibility and what to do instead.
  • A recurring published reading of what answer engines say for a fixed set of legal questions, with method, so the industry has a public baseline.

What we will not publish

Client names, client results, or screenshots of client answers without written permission. Rankings of agencies. Anything that promises an outcome. Content about a jurisdiction we have not checked.

Questions

Why publish the plan at all?+

Because the alternative is asking a firm to take our competence on faith. A published plan can be checked against what we actually ship, which is the standard we ask of client content.

Can we request a topic?+

Yes. The practice-area questions in particular come from conversations with firms. If a question is being asked of answer engines and no one has written a good answer, it belongs on this list.

Two ways this goes.

If you wait

Your competitor gets named in every AI answer in your city for another year. Cases you never knew existed go to them. You keep paying for Google ads while the searches move to ChatGPT.

If you get the audit

Six months from now a client sits down and says, "ChatGPT recommended you." Your intake team hears it every week. The firm down the street wonders what happened.

Free. One call. You will see exactly what AI says about your firm today.