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The Enterprise D2C Reference Architecture Playbook
The same reference architecture Dcrayons deploys for D2C brands scaling past Rs 25 crore ARR -- multi-region commerce stack, integration spine, and operational discipline.
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The Indian D2C Operator's Playbook: Architecture, Stack, and Discipline for Rs 25-200 Crore ARR
The 68-page playbook covering everything from MCC topology to inventory + lifecycle marketing for D2C brands scaling past Rs 25 crore ARR.
The Multi-Region D2C Expansion Playbook: India to GCC to UK
The 54-page playbook for Indian D2C brands expanding to GCC and the UK. Entity setup, payment + tax, logistics, marketing localisation, and the operational discipline.
The Indian Brand's Performance Marketing Operating Manual
The 72-page operating manual for performance marketing in India. Channel architecture, measurement stack, attribution discipline, MMM, and the cadence that turns spend into sustainable growth.
The AI-First Marketer's Handbook: Claude as Your Operating System
How to run an entire marketing org through Claude. Workflows for content, ads, SEO, briefs, and weekly cadence -- the way Dcrayons does it, AI-first since 2024.
Multi-AI Content Stack: Claude + Gemini + ChatGPT Workflows
When to use Claude, when Gemini, when ChatGPT. The model-per-task playbook for content marketing teams in 2026.
Generative Engine Optimization (GEO): The Complete 2026 Playbook
The 80-page handbook on GEO -- how to rank inside ChatGPT, Gemini, Perplexity, and Google AI Overviews. Tactics, schema, citation engineering, measurement.
Answer Engine Optimization (AEO): Get Cited in ChatGPT, Gemini, Perplexity
How to get your brand cited as the source inside answer engines. The 56-page handbook on AEO content patterns, snippet engineering, and authority signals.
llms.txt and Schema for LLMs: Technical AI Visibility
The technical playbook for AI crawlers. llms.txt syntax, schema markup priorities, robots directives, and the 2026 LLM access protocols.
AI Overview Optimization: Winning Google's AI-Powered Search
How to appear in Google AI Overviews. Query analysis, snippet patterns, source diversification, and the optimisation cycle Dcrayons uses for client programs.
Brand Mentions in AI: The 2026 Share-of-Voice Playbook
How to measure and grow your brand mention share inside AI answers. Methodology, tools, and the cadence Dcrayons runs for enterprise brands.
Citation Engineering: Building Trust Signals for LLM Indexers
The architecture of trust signals AI engines weight. Author bylines, expertise pages, source data, and the E-E-A-T-led editorial discipline.
The Entity Graph Repair Playbook
How to audit and repair the entity graph that AI engines build of your brand. Tools, processes, and the 30-day repair sprint Dcrayons runs.
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