Waikay is a generative engine optimization (GEO) platform that answers a question traditional SEO tooling cannot: what do large language models actually believe about your brand? It runs your chosen prompts against major AI systems, then reports how often and how accurately you appear, which sources the models lean on, and where their claims drift into inaccuracy. The output is framed as an actionable audit rather than a raw metric dump.
The workflow is intentionally shallow to learn. You create a project with your brand and competitors, Waikay runs a baseline analysis, and you add the topics and prompts that matter — or let the tool suggest them. From there you track visibility over time, review an AI Brand Score per topic, run fact-checking against what models assert, and receive AIO action plans that spell out what to fix. Source Intent Analytics and model-by-model breakdowns help explain why a given answer looks the way it does.
Waikay is built for brands, agencies, and consultants who need recurring evidence rather than one-off checks. It supports more than 100 countries and 40-plus languages, ships an API and MCP endpoint for automation, and offers a free starting point plus tiered subscriptions scaling from a single site to multi-brand agency programs. It is developed by InLinks Optimization Ltd and cites patent-pending analysis technology.
