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Sample strategy — illustrative, not a past client engagement. No real client or results are depicted. This page shows how a Foundgrove engagement would be structured.

This sample strategy shows how a Foundgrove engagement would approach a legal business in a single-state practice area dealing with losing share to competitors appearing as the recommended firm in ChatGPT and Perplexity, even while ranking #1 in Google for high-intent searches. Over 4 months, the engagement would deploy an AEO-focused content rebuild, attorney bios optimized for E-E-A-T (bar admissions, case history, named credentials), FAQPage schema on every practice-area page, and a legal-vertical citation campaign targeting bar association directories. The work centers on answer-engine presence in ChatGPT and Perplexity and E-E-A-T-strong attorney bios and legal-directory citations, with every target measured against the business's own data. Below is the full illustrative breakdown.
Legal · SEO, GEO & AEO · Sample strategy

SEO, GEO & AEO sample strategy: Legal

Answer-engine visibility rebuild — an illustrative 4 months engagement, not a past client result.

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By the Foundgrove team · Updated June 2026

Challenge

A family law firm losing share to competitors who appear as the recommended option in ChatGPT and Perplexity for high-intent searches in their state.

Approach

AEO-focused content rebuild, attorney bios optimized for E-E-A-T, FAQPage schema, and a legal-vertical citation campaign targeting bar association directories.

Outcome focus

Answer-engine visibility rebuild

Background

Who is this sample strategy for?

This illustrative scenario models a family law firm in a single-state practice area that would engage Foundgrove for seo, geo & aeo while dealing with losing share to competitors appearing as the recommended firm in ChatGPT and Perplexity, even while ranking #1 in Google for high-intent searches. The work outlined below would be led by a senior strategist on our team and run for 4 months from kickoff.

This sample strategy maps how a Foundgrove engagement would approach a firm with a healthy traditional SEO program that has not adapted to AI-assisted research — where prospective clients increasingly say a chatbot recommended a different firm even when the firm ranks #1 in Google.

The challenge

What's the challenge?

In this scenario the business is dealing with losing share to competitors appearing as the recommended firm in ChatGPT and Perplexity, even while ranking #1 in Google for high-intent searches. A Foundgrove engagement would lock the baseline in writing during the audit phase, so every target below is measured against a fixed, documented starting point — not a moving denominator.

A family law firm losing share to competitors who appear as the recommended option in ChatGPT and Perplexity for high-intent searches in their state.

The engagement is structured to treat this as an Answer Engine Optimization problem: rebuild attorney bios with detailed credentials (E-E-A-T signals), restructure FAQ content for self-contained extractability, and pursue citations from legal directories and bar-association sites.

The approach

How would Foundgrove approach it?

The engagement would deploy an AEO-focused content rebuild, attorney bios optimized for E-E-A-T (bar admissions, case history, named credentials), FAQPage schema on every practice-area page, and a legal-vertical citation campaign targeting bar association directories. Each tactic is sequenced over 4 months and tracked weekly inside a live dashboard the client team can view at any time.

AEO-focused content rebuild, attorney bios optimized for E-E-A-T, FAQPage schema, and a legal-vertical citation campaign targeting bar association directories.

A Foundgrove engagement would track answer-engine presence weekly across ChatGPT, Perplexity, Gemini, and Google AI Overviews, with the goal of becoming the recommended option for the firm's priority queries. Inbound consultation volume is measured against the firm's own intake data.

Target outcomes

What outcomes does this target?

This sample strategy is built around two outcome categories: answer-engine presence in ChatGPT and Perplexity and E-E-A-T-strong attorney bios and legal-directory citations. In a real engagement, each target would be measured against the business's own data — GA4, Google Search Console, ad platforms, and CRM — with the baseline locked in writing at engagement start. No figures are shown here because Foundgrove is pre-launch and depicts no real client results.

Primary focus

answer-engine presence in ChatGPT and Perplexity

Secondary focus

E-E-A-T-strong attorney bios and legal-directory citations

Timeline

How is the engagement sequenced?

An engagement like this would run 4 months from audit kickoff. Below is the illustrative phase-by-phase plan of what would ship and what each phase is structured to move.

  1. 1

    Phase 1

    AEO audit: priority queries where competitors are named in ChatGPT and Perplexity documented, and a baseline citation rate locked. Attorney bios restructured with bar admissions and named credentials.

  2. 2

    Phase 2

    Practice-area pages rewritten with self-contained answer capsules under every H2. FAQPage schema deployed. FAQ content restructured for passage-level extraction.

  3. 3

    Phase 3

    Citation campaign pursues listings in legal directories and bar-association sites plus guest articles in regional legal publications, the signals answer engines lean on.

  4. 4

    Phase 4

    The engagement is structured to track answer-engine presence weekly across ChatGPT, Perplexity, Gemini, and Google AI Overviews, with inbound consultation volume measured against the firm's own intake data.

Next steps

How would this apply to my business?

If you run a legal business, the same playbook applies — adjusted for your market and baseline. Start with our SEO program for family law firms page, or browse all 53 industries we serve. Compare with our other sample strategies in the full sample-strategy library or see the SEO, GEO & AEO service overview with pricing and process details.

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More sample strategies

Other sample engagement scenarios

Two more illustrative scenarios. Each links to the full sample-strategy breakdown.

Dental — SEO, GEO & AEO
Challenge
A multi-location dental group ranking on page 3 for high-intent terms across its markets, with no presence in Google AI Overviews and a competing group appearing in ChatGPT and Perplexity answers.
Solution
Full local SEO rebuild across every GBP profile, service-area landing pages for each location, FAQPage schema on every service page, and a content overhaul targeting passage-level extraction by AI Overviews.
Outcome focus
Multi-location local + AI visibility rebuild
Read sample strategy
HVAC — Paid Ads
Challenge
A regional HVAC contractor whose Google Ads budget is producing mostly unqualified or out-of-area leads, with no attribution back to booked jobs.
Solution
Account rebuild around service-specific campaigns, GA4 + CRM (ServiceTitan) integration, dedicated landing pages per service, and lead scoring tied to job value.
Outcome focus
Paid account rebuild + job-value attribution
Read sample strategy
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By the Foundgrove team · Updated June 2026

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