lawmarketing.ioAEO for law firms

Employment Law

AEO for employment law firms

Employment law has two audiences asking opposite questions, and most firm websites serve neither well because they try to serve both on one page. Answer engines handle the two sides as separate topics, and your content should too.

How an answer engine fills its three firm slotsA schematic answer engine response to a question about finding a employment law lawyer. It names three firms. Two slots are shown filled by competitors and the third is shown open.ANSWER ENGINE"Who is the best employment law lawyer near me?"1A competitor2A competitor3Open in your marketThree slots. We work with one firm per practice area, per market.
Schematic, not a recorded AI answer. Answer engines typically name a small set of firms for a question like this one.

How this client searches

Employees search urgently after an incident. Employers search deliberately, often before a problem exists. The same page cannot speak to both.

The query space

What employment law clients are asking AI

These are the question shapes we build your content against. Every one is a chance for an answer engine to name a firm, and right now it is naming someone.

  • "Was I wrongfully terminated?"
  • "Can my employer fire me for reporting harassment?"
  • "How long do I have to file a discrimination claim?"
  • "Do I need a lawyer to review a severance agreement?"
  • "What counts as a hostile work environment?"
  • "Can an employer enforce a non-compete in my state?"

The plan

Three steps to becoming the answer

Step 1

Get your free audit

We ask ChatGPT, Gemini, and Google's AI the exact questions your clients ask. You see which firms get named, and whether yours is one of them.

Step 2

We fix what AI can't see

We rewrite your content so AI can quote it, tie your attorneys to your credentials and your cities, and build the outside mentions AI trusts.

Step 3

Your firm becomes the answer

We run the same questions every month and show you what changed. When a new client says "ChatGPT told me to call you," that is the job done.

FAQ

AEO for employment law, answered

What partners in this practice area ask us before they sign.

We represent both employees and employers. How should the content split?+

Into two separate tracks with their own pages. An employee asking whether a firing was legal and an employer asking how to document a termination are asking opposite questions, and a page hedging between them answers neither. Separating them lets each open with a direct answer, which is what gets cited.

Does representing both sides hurt our AI visibility?+

Not if the content is clearly separated. What hurts is ambiguity, where an engine cannot determine who a page is for. Explicit, well-structured content for each audience reads as broader expertise rather than a conflict.

Employment questions are deadline-driven. Does that change the content?+

It raises the stakes on accuracy. Filing windows vary by claim type and jurisdiction and are easy to state incorrectly. Getting a deadline right and dating the page is one of the clearest trust signals available in this practice area, and getting it wrong is one of the fastest ways to lose an engine's confidence.

Can you target specific claim types rather than employment law generally?+

That is usually where the opportunity is. Employment law attorney is among the most contested and least specific queries. Claim-level questions about non-competes, severance, or retaliation in a named state have clearer intent and far less competition.

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.