Specialist in AEO, GEO & LLM Optimization. Published researcher in LLM recommendation systems. Speaker, MeitY-sanctioned Bharat AI Summit 2026. Google AI Certified. Serving B2B SaaS, FinTech & AI brands in USA, UK, Canada and globally.
Tandeep Sangra is the founder of She Innovates AI and one of India's leading specialists in AI search visibility. She built She Innovates AI on a single conviction: that the brands appearing in AI-generated answers in 2026 will hold a structural commercial advantage that compounds over time — and that most B2B brands do not yet know they are invisible in AI search.
Her methodology is built around measurable outcomes: a citation rate baseline before any work begins, technical signals implemented in a documented order of prerequisite dependency, and weekly citation frequency tracking across ChatGPT, Perplexity, Google AI Mode, and Gemini to verify that implementations are producing results. This is why clients see first measurable citation improvements within 4–8 weeks rather than waiting for six-month reports.
Tandeep works with a limited number of clients simultaneously to maintain the quality of analysis and implementation. She takes engagements in B2B SaaS, FinTech, AI products, healthcare technology, and professional services — primarily with companies in the United States, United Kingdom, and Canada.
Tandeep Sangra's path to AI SEO specialisation is not a pivot — it is a direct accumulation of the specific disciplines that AI citation optimisation requires. She spent over 15 years in digital marketing, building expertise across content strategy, growth marketing, paid media (Google Ads, Meta, LinkedIn), email automation, campaign management, and client services across B2B and B2C markets.
The turning point came when she observed a systematic pattern across clients: brands that had invested significantly in traditional SEO and content marketing were becoming invisible at a more important touchpoint — the AI-generated answers their buyers were reading before they ever visited a website. The problem was structural, not strategic. It required a different kind of expertise: one that combined technical schema implementation, entity recognition systems, content structuring for machine extraction, and off-site citation building. She built that expertise specifically, and She Innovates AI is the result.
Her career background across digital marketing disciplines is what makes the methodology work. Understanding buyer psychology informs which queries to target. Experience with technical marketing infrastructure informs schema implementation. Years of content strategy inform the TL;DR-first architecture that AI systems extract most reliably. The AI SEO work is not a standalone technical service — it is the intersection of all of these disciplines applied to a new problem.
Tandeep Sangra has contributed to the academic research base on how LLMs make recommendations — the same systems that determine whether brands are cited in AI-generated answers. Her published work addresses the visibility, credibility, and self-promotion bias dynamics in LLM-generated recommendations, examining how AI systems develop citation patterns and what signals correlate with brand inclusion versus exclusion.
This research directly informs every She Innovates AI engagement. Understanding how LLMs develop visibility biases and credibility weighting in their recommendation outputs — who gets cited, who gets skipped, and why — is the foundation of the entity establishment methodology. It explains why Wikidata entries, independent press citations, and consistent cross-platform identity signals produce citation improvements that technical schema markup alone cannot produce: because AI recommendation systems weight independently verifiable trust signals differently from on-site structured data.
Tandeep Sangra has been independently named as an expert speaker and founder in multiple third-party publications. These are editorially independent sources — not press releases or sponsored content.
Tandeep Sangra speaks on AI search visibility, Answer Engine Optimization, and the practical implications of LLM recommendation systems for brand strategy. She presents at conferences, industry events, and educational institutions across India — with a focus on the technical and commercial dimensions of AI search that most AI conference sessions do not address.
The methodology Tandeep uses at She Innovates AI was not adopted from an existing agency playbook. It was built from first principles by working backwards from how AI systems actually retrieve, verify, and cite content — and then identifying which specific technical and content interventions move citation frequency most reliably.
The methodology has four layers, each a prerequisite for the next:
Every engagement at She Innovates AI audits all four layers before implementation begins, prioritises fixes by prerequisite dependency rather than effort or cost, and measures citation frequency weekly to track improvements. The complete technical documentation for this methodology is available across the She Innovates AI blog.
Tandeep Sangra participates in practitioner communities where AI SEO is actively discussed and debated. Active Reddit participation in relevant communities under u/Turbulent-Big-6673 ↗ — contributing to discussions on AI search visibility, schema implementation, and LLM citation strategy. Active LinkedIn publishing at linkedin.com/in/tandeep-sangra ↗ — weekly posts on AI search patterns, citation signals, and brand visibility in LLM systems.
This practitioner presence matters not just for professional visibility but for the methodology itself: Reddit is the most-cited domain across ChatGPT for all query categories. Genuine practitioner participation in relevant communities is one of the off-site citation signals that She Innovates AI recommends to all clients — and it is practised, not just recommended.
Every She Innovates AI engagement starts with the $297 LLM Visibility Audit — a citation frequency baseline across ChatGPT, Perplexity, Google AI Mode, and Gemini using a proprietary audit framework. This establishes where a brand stands before any implementation begins and produces the prioritised action roadmap that guides the entire engagement.
Tandeep takes a limited number of active clients at any time to maintain the quality of analysis and the responsiveness of implementation. Engagements are available via direct booking or via her Upwork profile ↗ with verified international client reviews. Response to all new enquiries within 24 business hours.