AI Search Optimization

As AI chatbots and large language models (LLMs) become dominant gateways to information, brands must rethink their visibility strategies. AI search optimization ensures your brand surfaces in conversational and generative AI tools by aligning your content, authority signals, and technical structure with how these models ingest and prioritize information.

While grounded in traditional SEO principles, generative engine optimization (GEO) requires nuanced approaches tailored to LLM retrieval methods, knowledge graph development, and multimodal content understanding. It’s not just about ranking, it’s about being cited, referenced, and recommended by machines as the most trusted answer.

Entity Optimization

Search in LLMs is entity first. Brands must be represented as high-confidence entities across the open web. This involves harmonizing brand names with key search intents, reinforcing context with consistent structured data, ensuring mentions on authoritative third-party websites, and in some cases working on a Wikipedia page.

Content Clarity & Structuring

AI systems don’t "read" content like humans. Instead, they parse meaning, relationships, and relevance. Structuring content with semantically rich headers, FAQs, and schema markup helps LLMs interpret your content as high-quality, factually reliable, and citation-worthy.

Brand Mentions

Just like backlinks power Google search, brand mentions and citations on high-authority sites fuel AI visibility. Strategic digital PR, guest contributions, and expert interviews increase your footprint across the web—helping AI systems “see” your brand as a reliable source.

Technical SEO

Crawlability, page speed, mobile responsiveness, and proper use of schema all influence whether your content is eligible to be ingested and displayed by LLMs. Clean, consistent technical implementation makes your site content easier to digest for search engines and AI models alike.

E-E-A-T Optimization

LLMs lean into EEAT: Experience, Expertise, Authoritativeness, and Trustworthiness. Optimizing author bios, displaying verifiable credentials, ensuring outdated content is updated to remain fresh, and demonstrating content credibility ensures your expertise is surfaced in AI generated summaries and responses.