Geck is a SaaS platform that audits e‑commerce sites for AI‑agent compatibility, automatically adding schema, entity annotations, and llms.txt files so LLM search engines can cite the brand and complete purchases. It continuously monitors AI‑driven brand mentions, runs autonomous agent simulations to surface checkout friction, and delivers prioritized remediation integrated into CI/CD pipelines to recover lost GMV.
Funding
Funding not disclosed
Founders
Product
Problem
E‑commerce sites are increasingly accessed by AI agents (e.g., ChatGPT, Perplexity, autonomous browsers) that parse pages programmatically rather than visually. Most storefronts lack the structured data, entity signals, and bot‑friendly flows needed for these agents to cite the brand or complete a purchase, resulting in invisible revenue loss and no visibility into AI‑driven brand mentions.
Solution
Geck delivers a full‑stack SaaS platform that audits and optimizes online stores for agentic commerce. It continuously monitors brand citations across major LLM search engines, injects the required schema and llms.txt signals to make pages authoritative for AI answer engines, and runs automated agent simulations to expose technical friction that blocks transactions. The platform quantifies the GMV at risk, generates a prioritized remediation roadmap, and integrates the fixes into existing CI/CD pipelines, enabling merchants to capture AI‑originated traffic and convert it into measurable sales.
Target Audience
The primary customers are mid‑to‑large e‑commerce retailers, their CRO/marketing teams, and engineering or DevOps groups responsible for site reliability and conversion optimization.
Features
- Real‑time AI brand monitoring across ChatGPT, Perplexity, Gemini, Claude, Bing with alerting on new citations or competitor mentions.
- Answer‑Engine Optimization (AEO) module that auto‑generates and validates structured data, entity annotations, and llms.txt files for reliable AI citation.
- Agentic Experience Optimization (AXO) audit that runs 5+ autonomous browsers (including Playwright‑based agents) through checkout, login, and search flows, producing a 100‑point AXO score.
- Revenue‑Leak Calculator that translates each detected blocker into an estimated monthly GMV loss, supporting ROI justification.
- Prioritized Action Cards delivering concrete code snippets, schema changes, and effort estimates tied to projected revenue recovery.
- CI/CD integration hooks for automated regression testing of agentic flows on each deployment.
- Dashboard with Competitive Visibility Index, showing AI answer‑box share‑of‑voice and trend analysis versus rivals.
- Tiered subscription model with a free initial audit and paid plans for continuous monitoring, remediation tickets, and API access.