We begin by auditing your site for AI crawler accessibility. We check robots.txt, server-side rendering, page load performance, and crawl logs to confirm that GPTBot, ClaudeBot, PerplexityBot, and Google's AI crawler can fully access your content. Blocked or JavaScript-only pages are invisible to most AI indexing pipelines.

We define and document your brand as an entity: your official name, category, service offerings, geographic coverage, founding date, and key personnel. We then audit your presence across the 15+ signals LLMs use to verify entity legitimacy—Google Business Profile, schema.org markup, industry directories, Wikipedia/Wikidata, and major citation databases.

We implement structured data (JSON-LD) across your website using Organization, LocalBusiness, Service, FAQPage, and BreadcrumbList schema types. Schema markup is the clearest signal you can send to an AI model about what your business is, where it operates, and what questions it can answer.

We identify the exact prompts your target customers are asking AI tools—using a combination of search data, LLM testing, and competitive analysis—and build pages that answer those questions directly. This includes FAQ pages, service explainers, comparison content, and how-to guides.

We earn your brand mentions on authoritative third-party sources: industry publications, digital PR placements, podcast appearances, and high-quality directory listings. AI models learn from data that includes third-party validation—the more credible sites reference your brand, the more likely it is to appear in AI-generated answers.

We track your brand's citation rate across major AI platforms using tools including Otterly.AI, Brand24, and Brandwatch. We test target prompts weekly, measure share-of-voice against competitors, and adjust the strategy based on what's being cited and what isn't.