Product case study·2026

Rankahead.ai
Tracks and lifts how often AI assistants mention your brand.
- Role
- Cofounder
- Period
- 2026
- Type
- Own product
- Stack
- TypeScript · Next.js · Node.js
What it is
An answer-engine optimisation platform for a search world that increasingly happens inside chat. Rankahead scores a brand’s visibility daily across ChatGPT, Claude, Gemini and Perplexity, benchmarks it against competitors, then runs agents that generate answer-first content and publish it straight to the customer’s CMS.
What I built
- 01
Daily 0 to 100 visibility score across four AI engines, with trends and competitor benchmarking
- 02
Agentic GEO tasks: every tracking run produces a prioritised list of optimisation actions
- 03
AEO content generation published directly to WordPress, Webflow or Wix
- 04
Gap analysis showing the prompts where competitors get cited and you do not
- 05
Citations tracker for the URLs and domains the engines actually quote
- 06
Bring-your-own-key model with AES-256 encrypted credential storage