Ajendra Singh Thakur

About Ajendra Singh Thakur

Ajendra Singh Thakur is the founder of Market Analyticx, an AI marketing operations consultancy for B2B SaaS, fintech, and developer-tools companies. He specialises in Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), which means helping brands get cited in ChatGPT, Perplexity, Claude, and Google AI Overviews, and turning the marketing stack a company already owns into clear, ranked decisions. He has 12+ years of experience across SEO, growth, and marketing operations, and is based in Berlin.

What he does at Market Analyticx

Ajendra leads every Market Analyticx engagement personally. A small team and his cofounder build and run the systems behind him. The work follows three stages. A Signal Audit finds where a company’s marketing is leaking. A Build fixes the systems behind it. A Signal Report retainer keeps the decisions tied to numbers month after month.

His focus is the shift from ranking in search results to being cited in AI answers. At Market Analyticx he built GEO Lens, a free tool that scores how well a page can be read and cited by AI engines across seven factors, including schema, answer extractability, heading structure, and entity clarity. The scoring engine is also released as an open-source Python package, geo-score-core.

Market Analyticx operates remote-first across Berlin, Atlanta, and Delhi.

Before Market Analyticx

Before founding Market Analyticx, Ajendra led SEO and growth at several fast-scaling technology companies:

• Index.dev (SEO Director). He grew organic sessions from 2K to 100K and increased customer flow by 65% for the UK-based remote tech talent platform through a content-first SEO programme. He also built an AI-assisted content engine that combined multiple large language models with domain research to produce technical recruitment content at scale.
• Turing (SEO Manager III, Department Head). At the Silicon Valley AI company, he led a team of 50+ SEO and content specialists, managed a $120K monthly SEM budget across 10+ markets, and took mid-to-high-ticket leads from 0 to 50.
• eZdia. He led SEO-driven product and category content for global retailers including Walmart USA, Lowe’s, and Newegg USA. His Return on Content Spend (ROCS) model helped deliver 4x ranking gains for major retail clients.

Other results he has led include $200K+ in organic traffic value for EPAM Anywhere and a conversion-rate lift from 0.2% to 4.7% in six months for Web3 company Supra. Across these roles his results also include 30+ enterprise organic SQLs per quarter from commercial content, a 40% CTR lift from analytics-driven testing, a 15% site-wide conversion increase from UX and content fixes, and editorial cycles cut by half with AI-assisted workflows.

How he works

Ajendra’s approach rests on a few principles. He makes the stack a client already owns work before adding new tools. He tells clients plainly where AI shouldn’t be used. Every recommendation has to point to a number: efficiency, cost saved, pipeline, or revenue.

Background

Ajendra holds a Bachelor of Engineering in Electronics and Communication from Rajiv Gandhi Technical University and a business management certification from the Department of Management Studies at IIT Delhi. His working toolkit spans SEO platforms such as Ahrefs and Semrush, analytics and attribution tooling, and LLM-based workflows built with tools like LangChain.

Outside work, he is a wildlife and travel photographer. He says spotting a shot and spotting a signal are the same skill: noticing the one thing that matters in a frame full of noise.

Read his work

Everything on the Market Analyticx blog is written from hands-on experience running SEO, content, and AI-search programmes for global brands. To see how that applies to your company, book a Signal Audit.