Resources
Hi, I’m Aniketh. I work on product and GTM for Contentstack Canoe, so I spend my time in the code, in the data and on calls with the teams who use it.
Most of what I’ve done started with curiosity. It pulled me into LLMs and a lot more, and it led me to build products used by millions of people around the globe, including teams at Fortune 500 companies. I learn best by shipping something, measuring it and fixing what didn’t work.
These days that curiosity is on AI search. More and more buyers ask ChatGPT, Gemini, Perplexity or Claude before they visit a website, and the answer names only a few brands. I want to know how those engines choose, and I write here to share what I find. If you’re curious too, follow me on LinkedIn or say hi on Discord.
Illustrative example, fictional brands.
01What changedStart here7 min read
The AI answer is doing your homepage’s job. One afternoon shows what it says about you.
Inside: a Monday answer audit
7 min read
02What changed8 min read
Inside: a rank-to-answer gap audit
03Measure it8 min read
Inside: a checklist for a balanced set
04Measure it7 min read
Inside: seven checks for signal versus noise
06Fix it7 min read
Inside: a source map you can keep current
07Fix it7 min read
Inside: a two-reader checklist for key pages
08Automate it8 min read
Inside: an agent readiness checklist
Contentstack Canoe asks your buyers’ questions on a schedule and shows what to fix first.
Free runs ChatGPT and Gemini. No card, no expiry.
