BlueJar audits where your brand is cited across ChatGPT, Perplexity, Gemini, and Copilot — and ships a prioritized fix plan you can hand to a client or execute in-house. Pay per analysis. No subscription. No dashboard you have to interpret.
By early 2026, more than half of B2B buyers had started using AI engines as a research entry point — and most brands had no way to measure if they were showing up.
The tooling for measuring AI search visibility was either expensive subscription software at $499–$2,000 per month or a single-engine vanity score. Neither helped agencies sell GEO services. Neither helped brands ship a fix plan.
Most "AI visibility" tools answered a narrow question: did your brand show up for this one prompt? They left the much harder question — what should we change first — untouched.
BlueJar runs 400+ prompts per audit across ChatGPT, Perplexity, Gemini, and Copilot — using a 7-zone × 4-type × 3-funnel matrix designed to mirror how real buyers ask AI. The output is a Visibility Matrix, a Kingmaker Sources list, and a 30/60/90-day fix plan.
The deliverable is client-ready. Agencies white-label it under their brand. Consultants resell it. Brand teams use it to prioritize content, PR, and source-listing work.
Distributed between the United States and India. Building the GEO category from prompt mining to deliverable.
Co-Founder & AI Engineer
Builder of the GEO audit pipeline and prompt-mining tooling. Writes about generative engine optimization, AI search, and the future of content discovery. Background in applied AI and large-scale data engineering.
Co-Founder & Growth Lead
Focused on agency partnerships and helping agencies add AI visibility services to their offering. Writes about GEO strategy for agencies, consultants, and B2B companies. Background in growth marketing and SaaS go-to-market.
Every BlueJar audit scores your site across the six research-backed factors that determine whether AI engines will cite you.
Structured data depth, entity definitions, and AI-readable markup. Foundation for entity resolution by every major engine.
Experience, expertise, authority, and trust signals — author identities, credentials, and proof of original work.
Passage-level quoteability: definitions, statistics with sources, and self-contained 130–170 word answer blocks.
Question-format headings, comparison tables, FAQ sections, and the machine-readable cues AI synthesis needs.
AI crawler access (GPTBot, ClaudeBot, PerplexityBot), llms.txt presence, rendering, and indexability.
Mention density across kingmaker sources — the small set of domains AI engines actually retrieve from when answering.
Run your first audit on us. 60 prompts on ChatGPT, your Visibility Matrix, and your starting GEO Score. No credit card.
Start a free audit →