Playbook · 3 min read
A Content Playbook for Law Firms: From Rankings to Recommendations
Build a connected set of pages around the decisions a client makes, instead of one page per keyword.
Short answer
Plan content around the questions a client asks before hiring, not around single keywords. Build a small set of connected pages for each practice area, link them with descriptive anchors, keep dates honest, and do not mass-produce thin pages. Google says AI features may run several related searches, so a page set that covers the sub-questions gives each one a page to answer.
Key takeaways
- Google says its AI features may issue several related searches, so cover the sub-questions around a topic.
- Map pages to stages of a client's decision, not to a list of keywords.
- Link related pages with descriptive anchor text so people and crawlers can follow the path.
- Google can treat mass-produced, low-value pages as spam, including AI-generated ones.
- Update pages when the law or your facts change, and show the review date honestly.
The shift from keywords to decisions
Traditional SEO planning starts with a keyword list. That still has value. But an AI answer often covers a whole topic, and Google says its AI Overviews and AI Mode may issue several related searches across subtopics before they answer. We do not see those searches, so the safest plan is to cover the questions a client would ask around a topic.
Ahrefs reported that about 38% of URLs cited in AI Overviews also ranked in the top 10 for the same search, down from about 76% in its earlier study. That does not show how any one firm should plan content. It does suggest that a page can earn a citation for a narrow question without winning the broad keyword.
Step 1: Map the client's decision journey
For each practice area, list the questions a client asks at each stage. Use your intake notes, call recordings (with the consent your rules require), email and search queries. A simple frame:
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What is happening to me?
Plain explanations of the situation, terms and common outcomes.
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What should I do now?
First steps, deadlines you can verify, and what to avoid.
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Do I need a lawyer?
When professional help matters, what a lawyer does and what to bring to a first meeting.
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How do I choose?
What to ask a firm, how fees work in general, and what the process looks like.
Step 2: Build a cluster, not a pile
A cluster is a hub page for the practice area plus a handful of pages that each answer one question. Every page links up to the hub and across to its closest neighbors. Use descriptive anchor text, such as "what to do after a workplace injury," instead of "click here." Google's AI guidance recommends internal links that help crawlers and readers find your content.
| Page type | Job | Links to |
|---|---|---|
| Practice area hub | Overview and routes to every sub-question | All cluster pages |
| Question page | Answer one question completely | The hub and two or three neighbors |
| Process page | Explain steps, timing and what to bring | Question pages and your contact page |
| Attorney page | Show who handles the work | Pages the attorney wrote or reviewed |
Step 3: Write each page well
Use the method in how to write pages AI answers can quote: one job per page, the answer first, and a named reviewer. Publish fewer pages of higher quality rather than many thin ones.
Step 4: Watch the scaled-content line
Google says using generative AI tools to generate many pages without adding value for users may violate its policy on scaled content abuse. The test is value, not the tool. A page that repeats a template across fifty cities with only the place name changed adds little. A page written by a lawyer who knows the local court process adds a lot. Review any AI-assisted draft, including titles, meta descriptions and structured data, as Google advises.
Step 5: Keep pages current and dates honest
Laws, fees and procedures change. Set a review schedule for each page, assign an owner and show the review date on the page. In your XML sitemap, Google says it uses the lastmod date only if it is consistently and verifiably accurate, and it ignores priority and changefreq. Update lastmod when the page content truly changes. See the technical readiness checklist.
Step 6: Measure and adjust
Once a cluster is live, test it. Run your priority questions through AI tools several times and record how often your firm or pages appear, as described in the AI answer audit. Then fill the gaps you find. For the broader picture of how this fits with the rest of your site, read the overview of how AI answers choose sources.
Common questions
How many pages does a practice area need?
We do not know of a number that works. Start with the questions you hear most at intake and write one page for each. Add pages when real questions go unanswered, not to hit a target.
Should I publish a lot of AI-written pages to cover more topics?
Be careful. Google says using generative AI to produce many pages without adding value for users may violate its policy on scaled content abuse. Quality, review and usefulness decide whether a page earns a place on your site.
Do I need a blog?
A blog is a format, not a requirement. What matters is a set of useful, current pages about your practice. Many firms organize this as guides inside each practice area section.
Sources
- Google Search Central: AI features and your website
- Google Search Central: Using generative AI content on your website
- Google Search Central: Creating helpful, reliable, people-first content
- Google Search Central: Build and submit a sitemap
- Ahrefs: Update, 38% of AI Overview citations pull from the top 10
Informational only. This article is general education about search and AI visibility. It is not legal advice, it does not create an attorney-client relationship, and we do not guarantee that any statement in it is accurate, complete or current. No one can guarantee that an AI tool will name your firm. Lawyer advertising rules differ by state, so check your state bar's rules and talk to a qualified attorney before you publish claims about your firm. The update date above shows when we last checked.