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Founder

Tejas D Jaiprakash

Founder of CobaltKite Creative, studying AI and machine learning at BMS College of Engineering in Bengaluru, working on SEO, answer engine optimization and AI search visibility.

B.E. Artificial Intelligence and Machine Learning · BMS College of Engineering · 2025 to 2029

Tejas D Jaiprakash is the founder of CobaltKite Creative.

Tejas is studying for a B.E. in Artificial Intelligence and Machine Learning at BMS College of Engineering, Bengaluru, from 2025 to 2029, and runs CobaltKite Creative alongside the degree.

Tejas’s work is in answer engine optimization, technical SEO and structured data — getting brands found on Google and named by AI assistants such as ChatGPT, Perplexity and Gemini — drawing on a background in machine learning, reinforcement learning and full-stack web development.

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Selected work

LiveWeb Design & Development, Technical & Content SEO

Sagar Dental Care

We built a clinic website for Sagar Dental Care, designed for local search, with clear service pages, structured data and a fast, mobile-friendly build patients can use to find and book care. The site is live. Scope, stack and results are being finalised with the client before publishing here.

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In progressWeb Design & Development, Technical & Content SEO, AI Search Visibility

Talon Production House

We are rebuilding Talon Production House's website and setting up SEO and AI visibility foundations. The engagement is in progress: scope and stack are still being confirmed, and results will be reported against a dated 31 August 2026 baseline once the first export is in, with a source noted for every figure we publish.

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LiveWeb Design & Development

The 11th Bean

We designed and built a cafe website plus a custom point-of-sale system for The 11th Bean, with loyalty points, dual-PIN staff and owner dashboards, and analytics on Supabase. The site and POS are live. Scope, stack, results and screenshots are being finalised with the client before publishing here.

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Research & writing

CK-R-00127 Sept 2026
Finding

ChatGPT Brand Consistency

CK-R-001 asks how consistently ChatGPT describes brands across repeated prompts. The method, sample and findings are pending; this page ships the study shell first so the approach is public before the data is.

AEO vs SEO

An explainer on how answer engine optimization differs from traditional search engine optimization, and how the two disciplines work together in practice.

27 Sept 2026 · 1 min read

How AI Assistants Pick Brands to Name

A look at the factors AI assistants weigh when deciding which brands to name in response to a buyer's question, and how brands can influence that choice.

27 Sept 2026 · 1 min read

What an AI Visibility Audit Measures

An explanation of what an AI visibility audit measures, covering brand mentions, citations, entity data and how findings translate into a prioritized fix list.

27 Sept 2026 · 1 min read

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