By SEO for Lawyers Canada Editorial Team
Published 2026-08-25 · Updated 2026-09-05
For Google’s AI search features, a page needs to be indexed and eligible for a search snippet. AEO work should therefore improve accessible pages, useful answers and verifiable expertise. No special AI schema or llms.txt file is required by Google. Other answer engines have their own retrieval behaviour, and no provider can guarantee that a law firm will be cited.
AEO begins with understandable expertise
Answer engine optimization is not a separate publishing trick. Search and AI systems still need crawlable pages, clear ownership, reliable entities and content that directly resolves a question.
Create evidence worth retrieving
Original explanations, expert-reviewed examples, transparent methodology and primary references make a page more useful than a generic summary. State who reviewed legal information and when it changed.
Use structured data to describe
Structured data should match visible content and clarify relationships. It does not guarantee a rich result or AI citation.
- Entity consistency
- Answer-first sections
- Visible authorship
- Primary sources
- Accessible internal links
Make a useful answer independently understandable
Start an important section with a concise answer to the question in its heading. Follow with the audience, jurisdiction, limits and supporting detail needed to interpret it. Explain technical terms, use examples that are clearly labelled and identify the sources behind factual claims. For substantive legal content, show the actual responsible lawyer and review date only when that review occurred. A generic editorial label should not imply a lawyer reviewed a page.
Measure answer visibility without inventing attribution
Keep a repeatable set of questions, recording the engine, date, wording and cited pages when checking answers manually. A citation observed once is evidence of that response, not a stable ranking. Google reports traffic from its AI search features within overall Web performance in Search Console. Referral reports may identify some other AI sources, but missing referral data and differing search behaviour make complete attribution difficult. Report those limits alongside actual enquiries.
AEO work and the evidence it produces
| Work | Evidence to check | Limit |
|---|---|---|
| Accessible answers | The answer is present in returned page HTML | Presence does not ensure retrieval |
| Source references | Claims link to relevant primary materials | Citations do not prove professional review |
| Structured data | Markup describes the page and publisher accurately | Markup does not guarantee a search feature |
| AI visibility checks | Dated prompts and observed citations | Responses can vary by session and engine |
| Commercial measurement | Attributed enquiries where available | Referral data may be incomplete |
Common questions
Primary references
Sources to verify before implementation
- Google AI features and your website
- Google structured data introduction
- Google guidance for helpful content
Platform guidance changes. Check the primary source and record the review date when a recommendation affects a live account.
A useful next step
Apply the framework to your actual market before expanding the page count.
Request an opportunity review