Methodology
Generative engine optimization isn't a single tactic — it's a layered system. Here's exactly what we do and why each layer matters for getting your brand cited by AI search engines.
Step 1
We start by mapping your brand's current footprint across ChatGPT, Perplexity, Gemini, Google AI Overviews, and Claude. We run a standardized set of prompts relevant to your category and document where you appear, where competitors appear instead, and why. This establishes your baseline citation rate and surfaces the specific gaps we need to close.
Step 2
AI engines rely on structured signals to understand what a business is, what it does, and whether it's trustworthy. We implement JSON-LD schema (Organization, Service, FAQ, and BreadcrumbList at minimum), establish entity connections between your brand and relevant topics, and configure your llms.txt so AI crawlers have a clean, accurate summary of your business to work from.
Step 3
LLMs are answer engines. They extract and surface information that's structured as a direct answer to a question. We audit your existing pages and rewrite or expand them to include: explicit Q&A blocks, numbered processes, defined terminology, and named services with clear descriptions. We also identify the highest-value queries your category owns and build or expand pages to answer them directly.
Step 4
AI models are trained on text across the web. They weight sources that are cited by other trusted sources. We identify the publications, directories, and third-party sites that LLMs draw from in your category and develop a strategy to earn mentions there — through digital PR, link building, and strategic content placement.
Step 5
GEO isn't set-and-forget. We run monthly citation audits across the major AI platforms using a consistent prompt set, track movement over time, and adjust strategy based on what's working. You receive a plain-English monthly report showing your citation rate, which prompts surface your brand, and what we're doing next.
Most SEO agencies added GEO as a service line when the term became popular. Our audit, methodology, and reporting are built around it — not retrofitted onto an existing SEO playbook.
We use AI as a research and drafting tool, but every piece of content that goes live is reviewed, edited, and signed off by a human strategist. Quality and accuracy are non-negotiable when you're trying to be cited by AI systems — low-quality AI content actively hurts citation potential.
We've found the strongest results in B2B SaaS, fintech, healthtech, and DTC. If your buyer does research before buying — and most do — they're asking AI tools. That's the moment we optimize for.
Book a free 30-minute strategy session and we'll map your current AI citation rate together.
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