GENERATIVE ENGINE OPTIMIZATION / AI SEARCH
GEO. Because The Next Client Is Asking An AI, Not A Search Bar.
A growing share of commercial-intent queries — 'best family lawyer near me,' 'how do I file for custody in Massachusetts' — are being answered by an AI assistant before the searcher ever sees a SERP. If you aren't cited inside that answer, you aren't in the conversation at all.
We monitor the prompts your next client is typing, track who the engines cite today, and build the on-page structure, schema, and referenceable content that gets your firm pulled into the answer. Every engine, every prompt, every week.
THE QUIET SHIFT
The search bar is no longer the only front door.
An increasing share of legal questions are being asked — and answered — inside ChatGPT, Perplexity, Gemini, Google's AI Overviews, and a growing list of assistants that summarize the web before the searcher clicks anything. If your firm is not named in the answer, there is no blue link to click and no click to count. The visibility is either captured or it is forfeited.
CHANNEL INTEL
What AI search actually is — and what it is not.
Citations are the new clicks.
An AI answer either names your firm or it doesn't. If it doesn't, the searcher never sees you — there's no scroll, no page two, no retargeting window. GEO's currency is the citation: frequency, prominence, and the engines that pick you up.
Read the reasoning →There are five engines, not one.
ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot — plus a rotating cast of smaller assistants baked into consumer products. Each engine has its own retrieval logic, its own source preferences, and its own update cadence. Ranking in one does not guarantee ranking in the others.
Read the reasoning →Structure beats style.
LLMs do not read your page the way a human does. They parse structured claims, direct quotes, named entities, statistics, and schema. The firm that writes for machine readability without sacrificing human readability gets cited. The firm that writes pretty brochure copy does not.
Read the reasoning →It is measurable — just differently.
Instead of sessions, we track citation frequency per engine per prompt, share of voice against competitors, sentiment of the mention, and prompt coverage (what fraction of the target query set mentions you at all). It is a different scoreboard, but it is a scoreboard.
Read the reasoning →AI-ANSWERED QUERIES
Observed share of informational legal queries now surfacing an AI Overview or a primary AI assistant answer in 2026.
ENGINES TRACKED
ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot — monitored weekly with engine-specific reporting.
PROMPTS PER ENGAGEMENT
Mapped from real client-journey questions and tracked across every engine we cover, every week.
CITATION LIFT WINDOW
Typical window before meaningful citation-frequency lift appears on the prioritized prompts.
VISIBILITY MONITORING
You cannot improve what you cannot see. So we see it, every week, in every engine.
Share of voice, citation frequency, sentiment, competitor overlap — by engine, by prompt, by week.
Engine Coverage
ASSISTANT A
ASSISTANT B
AI OVERVIEW
ASSISTANT D
ASSISTANT E
Citation Frequency (12 weeks)
Share of Voice
Prompt Coverage
+92 more prompts
Every prompt we monitor is a real commercial-intent question a prospective client is asking an AI right now — derived from client-journey interviews, inbound-call transcripts, and the keyword intent matrix we already build for your SEO engagement. We run each prompt against every engine we track, every week, and log who is cited.
The dashboard is not the work — it is the visibility layer that tells us whether the work is compounding. The actual work lives in Sections 7 through 9: extractable content, prompt-coverage expansion, and the schema that makes your site machine-readable enough to get pulled into the answer.
EXTRACTABILITY
Write so a machine can quote you. Without writing like a machine.
Six signals determine whether an LLM pulls a passage from your page or a competitor's. We build every piece of content against all six.
BEFORE — TYPICAL FIRM PAGE
Family Law Services
We are a trusted family law firm serving the Boston area with dedication and integrity. Our experienced team provides compassionate representation for all your legal needs. Contact us today to schedule a consultation.
AFTER — GEO-READY PAGE
Family Law Attorney Boston
A family law attorney represents clients in divorce, custody, and support matters. In Massachusetts, 87% of contested custody cases go through mediation before trial. Attorney Sarah Chen at Smith Family Law provides representation across all family court matters in Suffolk County.
What happens in a first consultation?
The attorney reviews your situation, explains your options under Massachusetts law, and discusses timeline and costs. Most consultations last 30–45 minutes.
Direct-answer paragraph
Under every H1, a 2–3 sentence paragraph that answers the heading's question directly. This is the highest-probability passage an LLM pulls when summarizing.
Statistics with attribution
'87% of divorces involving minor children in Massachusetts go through mediation' beats 'most divorces use mediation.' Attribute the source in-line so the claim survives summarization.
Named entities, spelled out
Attorney name, firm name, jurisdiction, practice area, city — every page. LLMs build their answers around entities they can identify confidently.
Q&A structure
Actual questions as H3s, answered in 40–80 words each. Maps directly to how AI assistants construct answers and often gets lifted verbatim.
Schema layer
JSON-LD: LegalService, Attorney, FAQPage, AboutPage, Review, BreadcrumbList. We cover these in Section 9 — and they are non-negotiable for LLM citation.
Freshness signals
Last-updated timestamp on every substantive page. Engines weight recency for factual and jurisdictional content, and a 2022 page dated 2022 will lose to a 2026 competitor every time.
PROMPT LIBRARY
The 100+ questions your next client is typing into an AI — and the coverage map for each.
Not keywords. Prompts. Full-sentence questions a real person asks an assistant. We map them once, track them weekly, and expand the set as consumer behavior shifts.
Prompt Taxonomy
Every prompt fits one of four buckets. The taxonomy makes the library auditable.
Coverage Heatmap
Target: ≥60% of priority prompts cited in ≥3 of 5 engines within 90 days.
Prompt Velocity
The set is alive. We add 4–10 new prompts per month as search behavior evolves.
Competitor Overlap
We track the prompts where a competitor is cited and you are not — the direct steal list.
The prompt library is built from real client intake calls, inbound-message transcripts, existing keyword-intent mapping, and interviews with the firm's attorneys about the questions they hear in consultations. It is not scraped from a keyword tool — it is the language your clients actually use when they ask.
Every prompt gets a priority tier (P0 – commercial transactional, P1 – consideration commercial, P2 – informational authority, P3 – long-tail exploratory) and a coverage target. The monthly report tells you which tiers moved, which stalled, and what the next thirty days of work looks like per tier.
STRUCTURED DATA
Schema is not an SEO checkbox. For LLMs, it is how the page introduces itself.
A correctly-marked LegalService + Attorney + FAQPage + AboutPage stack tells every engine what the page is, who it is about, where it applies, and which questions it answers — before the engine has to guess.
{
"@context": "https://schema.org",
"@type": "LegalService", // ENTITY TYPE
"name": "Your Firm",
"areaServed": {
"@type": "City",
"name": "Boston" // JURISDICTION
},
"serviceType": "Family Law", // PRACTICE AREA
"priceRange": "$$$",
"provider": {
"@type": "Attorney", // ATTORNEY NAMED
"name": "Jane Doe, Esq.",
"jobTitle": "Managing Partner",
"knowsAbout": [ // EXPERTISE BOUND
"Divorce",
"Custody",
"Mediation"
]
},
"subjectOf": {
"@type": "FAQPage", // FAQ ATTACHED
"mainEntity": [{
"@type": "Question",
"name": "How long does a divorce take in Massachusetts?",
"acceptedAnswer": {
"@type": "Answer",
"text": "..."
}
}]
},
"aggregateRating": { // REVIEWS ATTACHED
"@type": "AggregateRating",
"ratingValue": "4.9",
"reviewCount": "142"
}
}SCHEMA COVERAGE
- LegalService
- Attorney (per attorney)
- FAQPage
- AboutPage
- BreadcrumbList
- Review + AggregateRating
- Article (on blog/resource pages)
Validated in Google Rich Results + Schema.org validator at every publish.
When an LLM retrieves content from a page without schema, it has to infer what the page is about, who it is about, and whether its claims are authoritative. When a page publishes clean JSON-LD, the engine no longer has to guess — the page has labeled itself. This is the single highest-leverage technical investment in GEO, and it is also the one most law firms either do partially or skip entirely.
WHAT YOU GET
The engagement, stripped of the marketing language.
Three columns. One for onboarding, one for the month-over-month work, one for the cadenced audits. No fluff, no "AI-powered" dashboards that are really spreadsheets.
MONTH 1 / KICKOFF
- Prompt library built (100+ prompts across 4 taxonomy buckets, 4 priority tiers)
- Baseline citation audit across 5 engines
- Schema audit + remediation plan (LegalService, Attorney, FAQPage, AboutPage, Review, BreadcrumbList, Article)
- Extractability audit on top 25 existing pages with remediation ticket list
- Named-entity pass (attorney bios, firm profile, jurisdiction pages)
- Content gap analysis against competitor citation overlap
ONGOING MONTHLY
- Weekly citation tracking across all 5 engines for the full prompt set
- 2–4 new GEO-native pages published (direct-answer + Q&A + schema-complete)
- Extractability remediation tickets worked down
- Competitor prompt-overlap monitoring with steal-list action items
- Monthly citation report: per-engine coverage, sentiment, share of voice, next-month plan
QUARTERLY / ANNUAL
- Prompt library refresh — adding ~10% new prompts, retiring stale ones
- Full schema re-audit + validator pass
- Engine-specific strategy review (retrieval logic changes, model updates, policy shifts)
- Annual strategy review with next-twelve-months citation roadmap
HONEST COMPARISON
Strong traditional SEO helps. It does not guarantee you get cited.
Every month we audit firms with excellent organic rankings who are invisible in AI responses. The overlap is partial — and the overlap is what GEO closes.
CITATION MONITORING
5+ engines, 100+ prompts, weekly.
CITATION MONITORING
None. You learn you're missing when a client tells you 'I asked ChatGPT and it said the other firm.'
PROMPT-LEVEL STRATEGY
Full prompt library mapped and tiered. Coverage targets per tier.
PROMPT-LEVEL STRATEGY
Keyword-level strategy only. No concept of a prompt.
CONTENT EXTRACTABILITY
Every new page written to the six-signal framework.
CONTENT EXTRACTABILITY
Some pages have good structure. Most do not. Brochure copy still lives on the money pages.
SCHEMA COVERAGE
7 required types, validated every publish.
SCHEMA COVERAGE
2–3 types, often incomplete. FAQPage is the most commonly missing one.
NAMED-ENTITY DISCIPLINE
Attorney names, firm, jurisdiction, and practice on every substantive page.
NAMED-ENTITY DISCIPLINE
Handled on the About and Home pages. Missing on most practice pages.
COMPETITOR INTEL
Prompt-overlap steal list updated monthly.
COMPETITOR INTEL
Generic competitor domain analysis, nothing prompt-specific.
REPORTING
Per-engine citation reports, share of voice, sentiment.
REPORTING
Rankings and traffic. Useful but not the full picture in 2026.
RISK POSTURE
You are visible in the answer layer even when the click layer shifts.
RISK POSTURE
You are healthy today. You are under-diversified against the channel shift that is already happening.
Traditional SEO and GEO overlap meaningfully — strong domain authority, good content, and clean technical foundations help both. But the overlap is partial, and the gap is exactly the work that gets your firm pulled into an AI answer. For firms already running SEO with us, GEO is additive — typically 30–40% of the combined effort compared to SEO alone. For firms not running SEO, we will tell you honestly on the call whether GEO-first is the right sequence for your market.
RESULTS
Three engagements. Three engines at a time. Three citation curves moving up.
Metros chosen to avoid overlap with the practice-area, LSA, PPC, Local SEO, and SEO case studies. Results are representative of engagements in those verticals — not promises.
CASE STUDY · GEO
BOSTON · Family Law
prompt coverage across 5 engines in 18 weeks
Baseline citation audit: firm was cited in 0 of 84 tracked prompts. Full extractability remediation on top 22 pages, complete schema rebuild (adding FAQPage and AboutPage where missing), and 9 new GEO-native pages published. By week 18: cited on 40 of 84 prompts (47%), with the strongest coverage in AI Overviews (61%) and the weakest in ChatGPT (32%). Monthly intake attribution from 'I asked an AI' self-reports rose from 1 to 11.
Representative engagement. Past results do not guarantee future outcomes.
See the full citation history
CASE STUDY · GEO
NASHVILLE · Criminal Defense
citation-frequency lift in 10 weeks
Already running SEO with us, so the foundation was strong. Focused GEO engagement layered on: prompt library mapped, extractability brought to full coverage on every practice page, schema stack completed. Citation frequency across the tracked prompt set went from 0.6 average citations per prompt per week to 2.1. Notable: the firm appeared in a Google AI Overview for the head term by week 7.
Representative engagement. Past results do not guarantee future outcomes.
See the full citation history
CASE STUDY · GEO
SAN DIEGO · Immigration
P0 prompt-set coverage by month 6
Immigration queries are disproportionately answered by AI because the process is procedural and jurisdictional — prime LLM territory. Built a 138-prompt library, completed the schema rebuild including multilingual AboutPage markup, and published 14 GEO-native pages. At month 6: cited in 64% of the P0 (commercial transactional) prompt set and 58% of the P1 (consideration) set, across all five tracked engines.
Representative engagement. Past results do not guarantee future outcomes.
See the full citation history
FAQ
The questions firms actually ask us on the kickoff call.
Is GEO just SEO rebranded?
No. They share fundamentals — topical authority, clean technical foundations, extractable content — but the scoreboard is different. SEO targets the SERP and counts clicks. GEO targets the AI answer and counts citations. Strong SEO lifts GEO partially. It does not guarantee it. We see firms with excellent rankings cited in 0 of 80 tracked prompts all the time.
Does running LSA, PPC, or SEO already cover this?
No. LSA and PPC are paid surfaces — they do not influence AI citations at all. SEO helps but only partially (see the comparison table above). GEO is additive. For firms running SEO with us, GEO is typically 30–40% of the combined effort. For firms running only paid channels, GEO is foundational work we would schedule alongside an SEO build-out.
Which engines do you track, and why those?
ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot — these are the engines with meaningful consumer-side share as of early 2026. We add engines as their share grows (Claude's consumer assistant, for instance, is on our watch list). The monthly report tells you engine-by-engine coverage so you can see where the wins are landing.
Does this require republishing all our existing content?
No. We audit your top 25 pages on kickoff and ticket remediation for the ones that matter most to the prompt library. Some pages get a light restructure; some get a rewrite; some get retired. Most firms see meaningful citation movement within 10–14 weeks without a full site rebuild.
How do you prove GEO is working when there is no 'traffic' for a citation?
Four metrics, tracked weekly: (1) prompt-level citation frequency per engine, (2) share of voice against competitors in the tracked set, (3) sentiment of the mention when present, (4) 'I asked an AI' self-report attribution in your intake forms. We add that self-report field to your intake as part of kickoff. Over time the correlation between citation lift and that self-report becomes the proof layer your managing partner actually cares about.
Will the AI engines just summarize our content and never send traffic?
Some of it, yes — the same way Google snippets already do. The defensive answer is that being named in the summary is still visibility you would not have had otherwise: the prospective client remembers the firm name even if they do not click in that session. The offensive answer is that the citation itself is a branded impression we can attribute to intake, and for commercial-intent queries the searcher usually clicks through to verify before hiring a firm. Zero-click does not mean zero-outcome.
Is it too early to invest in GEO? Should we wait and see?
Wait-and-see costs you the compounding. Citation authority in LLM retrieval indexes appears to work similarly to backlink authority — slow to build, slow to unwind. Firms investing in 2026 are building a position their 2027 competitors cannot catch up to in a quarter. The honest answer is: if you have a healthy SEO program already, adding GEO now is inexpensive insurance. If you are starting from zero, we will tell you on the call whether GEO-first or SEO-first is the right sequence for your specific market.
NEXT STEP
Stop Optimizing For Clicks. Start Optimizing For Answers.
30 minutes on a call. We pull your baseline citation report across five engines, show you the prompts you are missing, and walk you through what a GEO engagement would look like for your firm. No pitch deck, no "AI transformation" theater.