Komal Mehta
Founder
About
Half of consumers now use AI — ChatGPT, Gemini, Claude — to decide what to buy *before* they visit any website. And the brands that show up there? They’re not always the best products. They’re the ones the internet has talked about clearly, consistently, and across enough independent sources that AI can confidently recommend them. That gap — between a brand’s real-world strength and its AI visibility — is what I work on. I’m Komal Mehta, a Generative Engine Optimisation (GEO) consultant based in Bangalore. I audit how brands currently show up in AI answers, identify the queries they can realistically win, and build the strategy to get them there. I work as a retained strategist — bringing the thinking, the roadmap, and the oversight. Separately, I run Paper Plane Frames Media, where we work with Indian startups and SMBs on social media, content, and brand strategy. If you’re curious about where your brand shows up — or doesn’t — in AI answers, I’m happy to talk.
India
Bengaluru
Marketing & Advertising
GEO, Reinforcement Learning, Statistical Data Analysis, Coaching, Requirements Analysis, MySQL, VLOOKUP, Microsoft Office, Presentation Skills, Written Communication, Microsoft Power BI, Business Analysis, Google Cloud Platform (GCP), Relational Databases, Applied Mathematics, Computer Engineering, Business Insights, Mathematics, Query Languages, Scripting
Experience

Founder
paper plane media

Founder
HappyBellyBar
Bengaluru, Karnataka, India
Building Happy Belly Bar

Data Analyst
Verisure Insurance
remote
Assisted in analyzing early customer and claim data to identify basic trends in policy usage and risk patterns. Created Excel and Power BI reports to help the team track policy sales, claim submissions, and user engagement. Collaborated with the product team to provide data-driven insights for shaping core insurance offerings

Machine Learning Intern
N/A
Bhubaneswar, Odisha, India
Initiated and led the development of a machine learning model to assess mental health from text, achieving an average classification accuracy of 85% across five categories: Normal, Mildly Stressed, Signs of Depression, Depression, and Need Help. Solely responsible for the design and implementation, using NLP (Python, scikit-learn, NLTK) to analyze social media posts and engagement patterns.

Intern Radio Jockey
kalinga bharti 90.0 FM
Hosted a storytelling show segment called "Darpan" where I narrated stories that I wrote and and also by other writers. Worked on scriptwriting, voice-over and hosting radio podcast
Komal Mehta's Contact Information
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