The Concept
When one AI teaches another, a new intelligence emerges — we call it MayAI. And when you need answers, there's only one thing to do: AskMayAI.
AskMayAI operates as a meta-intelligence layer, where one AI model is tasked with thinking strategically and instructing others through well-structured prompts. This allows us to combine the strengths of multiple AI tools while preserving context, consistency, and commercial intent.
Example: Health Sector – Trend Analysis for Kids’ Vitamins
Let’s say a health brand wants to understand which children’s vitamins are gaining traction in Southeast Asia, and how to best market them to parents in that region.
Step 1: MASTER AI – Context Aggregator & Prompt Generator
The MASTER layer receives multiple data points, such as:
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Market: Thailand, Singapore, Indonesia
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Target audience: Parents of children ages 4–10
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Data sources: Social media mentions, Amazon reviews, online forums, retail sales
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Business goal: Identify rising ingredient trends (e.g., elderberry, zinc), emotional triggers (e.g., immunity, taste), and key local competitors
It then generates a prompt like:
“Analyze consumer sentiment and trend momentum around children’s vitamins in Southeast Asia, with focus on ingredients like elderberry, zinc, and multivitamins. Summarize common parental concerns, highlight emerging preferences in online discussions, and identify frequently mentioned brands on Amazon.sg and Shopee TH.”
Step 2: TASK AI – Specialized Data Analysis / Language AI
This prompt is passed to a second AI (e.g., a fine-tuned language model or trend-mapping engine), which:
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Crawls and analyzes public content (e.g., product reviews, Reddit threads, TikTok mentions)
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Clusters emerging topics (e.g., “sugar-free gummies”, “halal-certified”, “school immunity”)
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Outputs a structured insights report with graphs, keyword heatmaps, and brand mentions
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Optionally, feeds into a third AI that writes a marketing-ready localization brief for campaign teams
Why This Architecture Works
By separating strategic intent (Master AI) from executional function (Task AI), AskMayAI:
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Reduces hallucinations and irrelevant output
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Increases alignment between content and business goals
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Automates cross-domain intelligence flow: data → insight → creative
This layered orchestration is especially powerful in health domains where accuracy, empathy, and local nuance are mission-critical.
Example: E‑commerce – Localization for Multi‑Market Expansion
Imagine a DTC (direct-to-consumer) skincare brand preparing to expand into Japan, Germany, and the UAE. The brand wants its product listings, ads, and landing pages to be fully localized—not just linguistically, but also culturally and commercially.
Step 1: MASTER AI – Context Aggregator & Prompt Generator
The MASTER layer is given the following inputs:
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Product details (e.g., retinol-based night serum)
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Existing U.S. brand tone and audience targeting
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Market insights: regulations, pricing, cultural sensitivities, customer reviews
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Strategic goals:
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Emphasize anti-aging benefits in Japan
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Highlight dermatological credibility in Germany
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Focus on premium aesthetic and halal-compliant messaging in the UAE
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Based on these variables, the MASTER AI generates customized prompts like:
“Write a localized Amazon product listing in Japanese for a luxury anti-aging night serum. Use a respectful and science-backed tone. Incorporate cultural references such as J-beauty trends, emphasize ingredient safety, and avoid direct claims about wrinkle removal.”
“Create a German-language landing page headline and bullet points for a dermatologist-formulated night serum. Focus on efficacy, clinical testing, and fragrance-free formulation. Include regulatory-safe language.”
“Generate Arabic copy for Instagram promoting a premium retinol night serum in the UAE. Emphasize elegant design, gentle care, and halal compliance. Highlight trust and sophistication.”
Step 2: TASK AI – Specialized Language & Content Tools
Each prompt is passed to the appropriate TASK AI, which may include:
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A language model fine-tuned on e‑commerce copywriting
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A localization AI trained on regional preferences and formatting (e.g., Amazon Japan guidelines)
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An image-to-text generator for alt-text and ad creatives
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A translation tool with semantic and cultural alignment
The output includes:
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Product listings with local keywords and SEO structure
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Ad copy adapted to platform and tone
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Compliance-ready product descriptions per region
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Consistent brand voice across all languages and formats
Why This Approach Wins
By decoupling strategic intelligence from execution, AskMayAI delivers:
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Deeply localized content that resonates with each market
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Faster go-to-market for multi-region campaigns
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Scalable prompt engineering tailored to product, audience, and region
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Human-like understanding with machine-speed efficiency
This orchestration framework transforms localization from a manual, inconsistent task into a predictable, data-driven growth engine for global e‑commerce brands.
Example: Complete Amazon PPC Campaign Plan for Sellers
Demonstrate how AskMayAI generates a fully structured Amazon PPC plan — including campaign types, keyword targeting, and bid strategy — for maximum ROI.
Step 1 – Master AI: Input & Context Setup
User provides:
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Category: Educational Toys
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Product: Eco-friendly wooden Montessori STEM toy
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Target Audience: Parents of children aged 3–8, eco-conscious buyers
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Budget: USD 150/day total across campaigns
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Goals: Boost keyword ranking for “Montessori toy” & “STEM toy” while maintaining ACOS < 25%
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Marketplace: Amazon US
Step 2 – Task AI: Generated Campaign Structure
1. Sponsored Products – Manual Targeting
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Match Types & Keywords:
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Exact: “Montessori toy” (Bid: $1.80), “STEM toy” (Bid: $1.60)
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Phrase: “eco-friendly toy” ($1.40), “wooden learning toy” ($1.50)
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Broad: “educational toy” ($1.20), “kids learning toy” ($1.10)
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Bid Strategy: Dynamic bids – up and down
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Daily Budget: 60 USD
2. Sponsored Products – Auto Targeting
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Targeting Groups: Close match, Loose match, Complements, Substitutes
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Initial Bids: $0.80 (close), $0.70 (loose), $0.65 (complements), $0.60 (substitutes)
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Daily Budget: 30 USD
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Purpose: Keyword discovery & harvesting for high-converting terms
3. Sponsored Brands
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Ad Creative: Logo + lifestyle image showing child using the toy + headline “Eco-Friendly Montessori STEM Toys – Nurture Young Minds”
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Keywords:
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Exact: “Montessori educational toy” ($1.50), “STEM learning toy” ($1.40)
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Phrase: “eco-friendly kids toy” ($1.20)
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Bid Strategy: Fixed bids
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Daily Budget: 40 USD
4. Sponsored Display
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Targeting: Product targeting on top competitors in “Montessori toy” category
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Bid: $0.85 CPC
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Daily Budget: 20 USD
Step 3 – Output Benefits from AskMayAI
AskMayAI delivers:
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Complete campaign framework with recommended types (manual, auto, brand, display)
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Optimized keyword lists segmented by match type and campaign goal
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Bid suggestions based on competition, CPC trends, and budget limits
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Budget allocation plan per campaign type
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Built-in scaling logic: Monitor CTR, ACOS, and harvest converting keywords from auto to manual campaigns every 7 days
💡 With one AskMayAI query, the seller gets a ready-to-launch PPC plan — not just creative ideas, but actionable campaigns with bids, budgets, and keyword targeting optimized for Amazon US.
