AI Search Hub

    AI Search Optimization for Every Vertical We Work With

    An increasing share of high-intent buyers now start research inside ChatGPT, Perplexity, Claude, and Google AI Overviews instead of a traditional search box. This hub is the entry point to our generative engine optimization (GEO) playbook and the vertical-specific landing pages where we apply it.

    What AI search optimization actually covers

    GEO is a different discipline than traditional SEO. Different ranking factors, different content patterns, different measurement. Here is how we approach it.

    Google AI Overviews Citations

    Structured-data, llms.txt, entity disambiguation, and answer-formatted content engineered to be quoted inside Google's AI Overviews on the queries your buyers actually run.

    ChatGPT and Perplexity Visibility

    Authority signals, source markup, and content patterns that ChatGPT, Perplexity, and Claude consistently cite when answering category, comparison, and intent questions.

    Generative Engine Optimization (GEO)

    The discipline of optimizing for AI answer engines instead of (or alongside) traditional SERPs — different ranking factors, different content patterns, different measurement.

    Conversational Query Targeting

    Long-form, intent-rich query targeting designed for the multi-turn conversational searches that increasingly replace short keyword queries.

    How we measure AI search performance

    Traditional SEO measurement (rankings, sessions, click-through) tells you almost nothing about AI search performance. Citations inside ChatGPT, Perplexity, Claude, and Google AI Overviews do not produce a click attributable to your domain in the way a blue-link result does. Most teams measuring AI search the old way conclude AI search "is not driving traffic" and miss the actual pipeline impact.

    We measure AI search visibility through three layers. First, share-of-citation: how often your domain is named in answer-engine responses to the queries your buyers run, tracked across the major engines. Second, branded query lift: AI engines name your brand to users who then run a branded search — the lift in branded query volume is a real attribution signal. Third, post-AI form-fills and inbound calls: prospects who mention an AI engine on the inbound call or in the form notes are tagged in the CRM so the pipeline impact is visible.

    Combined, those three signals give a defensible picture of AI search ROI. We report on them monthly inside the Admin portal SEO performance dashboard alongside traditional SEO and paid metrics.

    Get cited where your buyers are asking

    Most of your competitors are still optimizing for last year's SERP. Build the AI search visibility that compounds while they catch up.