We help enterprise brands, agencies, and high-growth companies get cited, quoted, and recommended by AI search engines like ChatGPT, Perplexity, and Google AI — through one proprietary methodology, not guesswork.
Founded October 4, 2025. Citation Outcome Engineering wasn't designed on a whiteboard first — it was refined on real client engagements, then packaged into product.
We began by running AI Visibility work directly for clients — proving the methodology on live engagements before building anything to scale it.
What worked repeatedly for clients became the basis for a product — turning hands-on methodology into repeatable, ownable infrastructure.
Our first product is live at audit.sheinnovatesai.com — an instant scan of where a brand currently stands across ChatGPT, Perplexity, and Google AI.
The natural extension of MVP1: moving from a point-in-time readiness check to ongoing, autonomous optimization of a brand's AI visibility.
The moat isn't a single tool — it's Citation Outcome Engineering itself, built to compound as it's applied to more brands over time.
Every recommendation combines automated analysis with judgment from people who've actually run this methodology hands-on for clients.
The system learns from every engagement, sharpening its own diagnostic and recommendation layer instead of relying solely on manual review.
A system that keeps a brand's AI visibility improving on its own — the full realization of MVP2.
AI Visibility isn't one task — it's an outcome. Citation Outcome Engineering is how we get there: combining technical optimization (schema, entity signals, content structure), platform-specific strategy (AEO for answer engines, GEO for generative engines), and continuous measurement — so you're tracking whether AI platforms cite you, not guessing.
Measurement runs on the GEO-VIS Framework, created by Tandeep Sangra: six checks — Visibility, Inclusion, Source, Influence, Sentiment, and Intent — that show whether AI platforms mention, cite, and recommend a brand.
Every engagement we run, and every person on our team, works under this one methodology. It's not a philosophy we talk about — it's the system every deliverable comes out of.
We name it, define it, and apply it consistently across everything we publish — on purpose. A named methodology is something AI search engines themselves can recognize, cite, and attribute to us specifically, rather than folding us into generic "SEO agency" results.
AI Visibility is a new enough category that most advice in it is speculation. We built our methodology on published research and years of hands-on performance marketing — not trends we picked up last quarter.
Our founder has published peer-reviewed research on AI Visibility and Generative Engine Optimization on SSRN and ResearchGate — work that directly informs our methodology, not marketing copy written after the fact.
We speak at industry events and contribute to the public conversation on AI Search, GEO, and AEO — sharing what we're learning as the category evolves, not just what we're selling.
16+ years of combined experience running performance marketing across Google Ads, Meta, LinkedIn, and Instagram — a measurement discipline we carry directly into how we track AI citations.
Every service we offer sits under Citation Outcome Engineering, split into building organic AI citations and buying visibility directly inside AI platforms.
We work with organizations at different stages of AI Search maturity — from teams just starting to track their AI citations to enterprises running dedicated GEO/AEO programs.
Established companies protecting and growing their share of voice as AI answer engines become a primary discovery channel.
Full-service and boutique GEO/AEO specialist agencies extending their offering with AI Visibility as a service line for their own clients.
Fast-moving teams getting ahead of the AI Search shift before it becomes table stakes in their industry.
We also work across SaaS, retail and e-commerce, financial services, and more — see our full industry breakdown →
Citation Outcome Engineering is built to outlast any one person — but it's led day to day by people with real research and operating experience behind them.
Tandeep Sangra is an AI Visibility researcher, consultant, speaker, and founder of She Innovates AI, specializing in AI Search Visibility, Citation Outcome Engineering, Generative AI SEO (GEO), LLM Optimization, Schema & Structured Data Engineering, and AI Search Advertising Campaign Management.
Munish Sangra serves as the Fractional Chief Revenue Officer at She Innovates AI, supporting the company's transition from founder-led validation to a scalable B2B SaaS revenue model.
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