What Is Generative Engine
Optimization (GEO)?

A potential client walks into a conversation with ChatGPT. They type: "What are the best family law firms in Calgary for a complex custody case?" Within seconds, they have three recommendations — with context, credentials, and a reason to trust each one.

If your firm isn't among them, it doesn't matter how good your website looks, how many Google reviews you have, or how long you've been practising. To that potential client, in that moment, you don't exist.

This is the problem that Generative Engine Optimization — GEO — was built to solve.

Why GEO Is Different From SEO

Traditional SEO was built for a world where users enter a query and receive a list of ten blue links. Success meant being link number one. The mechanics were straightforward: keywords, backlinks, page authority, technical health.

AI-generated results don't work that way. When someone asks ChatGPT which accountant to hire, there are no ten links. There's one answer. Maybe two or three names. And those names were chosen based on what the model knows — which is built from the structured, authoritative, entity-clear signals that AI systems can confidently extract and cite.

The signals are different. The stakes are different. A firm that ranks #3 on Google still gets clicks. A firm that doesn't appear in an AI answer gets nothing — because the user never reaches the search results page at all.

The Five Pillars of GEO

At Maeve, we evaluate AI visibility across five dimensions. Each one represents a category of signals that AI systems use to decide whether to surface a firm.

1. Schema Markup

Schema is the structured data layer that tells AI systems precisely what a firm is, who runs it, what services it offers, where it operates, and how to contact it. The key schemas for professional service firms are LocalBusiness (and its subtypes: LegalService, MedicalBusiness, Dentist, AccountingService), FAQPage, Person for principals and practitioners, Service for each practice area, and BreadcrumbList for site architecture clarity. Most professional service sites have none of these.

2. E-E-A-T Signals

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's framework for evaluating content quality, and a strong proxy for how AI systems evaluate citation-worthiness. For professional firms, this means: are there named practitioners with credentials? Is there evidence of real cases or outcomes? Are there third-party mentions and citations? Is contact information consistent and verifiable? A firm page that lists no names and contains no biographical content fails every E-E-A-T criterion.

3. AI Citation Readiness

AI systems are built to extract direct answers from content. Pages that are structured as long prose narratives are harder to cite than pages that contain clear, direct, question-and-answer formatted content. A FAQ section with specific, accurate answers to questions your clients actually ask is one of the highest-return GEO investments you can make. So is writing content that directly defines what your firm does, for whom, and why it's qualified — in language a model can cleanly extract.

4. GEO Signals

This dimension covers entity clarity and topical authority. Does AI know what your firm is, where it is, and what it specializes in? Are your firm name, location, practice areas, and key practitioners mentioned consistently across your site and in ways that allow AI to build a coherent entity model? Topical authority — the depth and consistency of your content in a specific area — signals to AI systems that your firm is the reliable source for questions in your domain.

5. Local Presence & Google Business Profile

GBP data feeds directly into AI local results. A complete, accurate, well-reviewed GBP profile signals to AI systems that a firm is legitimate, active, and community-trusted. NAP (Name, Address, Phone) consistency across your site, GBP, and third-party directories reinforces entity confidence for AI models.

Who Needs GEO Right Now

Every professional service firm in a market where clients use AI to find providers — which is increasingly everywhere. But the urgency is highest for:

• Law firms — clients frequently ask AI about legal options before choosing counsel
• Medical and aesthetic practices — AI is increasingly queried for specialist recommendations
• Dental practices — "best implant dentist in [city]" is now an AI query as often as a Google query
• Accounting firms — small business owners use AI heavily for professional referrals
• Engineering and consulting firms — procurement researchers use AI to identify qualified firms

The window to establish first-mover advantage is closing. In any given market, the first two or three firms per vertical to build strong GEO infrastructure will be systematically advantaged in AI results — and that advantage compounds over time as AI systems develop more confidence in the entities they already know.

What a GEO Audit Reveals

When we audit a professional service firm's AI visibility at Maeve, we score them across all five dimensions above and typically find the same patterns:

• No JSON-LD schema at all — or a single, incomplete LocalBusiness tag added by a web developer three years ago
• No FAQ content that AI can cleanly extract
• Practitioner bios that list credentials but don't contain the specific language AI uses for E-E-A-T verification
• City and service area mentioned inconsistently — or not at all on key pages
• GBP profile incomplete or mismatched with website data

The average professional service firm we audit scores between 18 and 42 out of 100. The top performers in their markets — the ones already appearing in AI recommendations — typically score 65 to 78. The gap is entirely closeable with the right infrastructure.