Vibe Marketing AI Powered

• Purpose and importance of SWOT in marketing planning
• Analysing internal strengths using structured frameworks
• Identifying operational weaknesses and capability gaps
• Understanding market opportunities using AI market scanners
• Threat mapping: competitors, substitutes, industry shifts
• Competitor research with AI tools and data-mining methods
• Turning SWOT into actionable marketing strategies
• Presenting SWOT insights for decision-making
• Using SWOT for content planning and customer segmentation
• Real case-based SWOT practice

• Basics of AI, Machine Learning and Deep Learning
• How Large Language Models work in simple terms
• Understanding tokens, embeddings and how AI reads text
• Fundamentals of prompting and structured instructions
• Introduction to data science for marketers
• Understanding datasets, data cleaning and data patterns
• Machine learning concepts: supervised and unsupervised learning
• Basics of embeddings and vector search in marketing use cases
• Predictive analytics and forecasting fundamentals
• Ethical, safe and responsible AI usage

• How AI interprets instructions, context, constraints, and intent
• Types of prompts: basic, task-based, role-based, structured and multi-step
• Anatomy of an effective prompt (role, goal, context, rules, output format)
• Writing clear and specific instructions for consistent results
• Frameworks for prompting: CORT, RACE, Step-by-Step, Tree-of-Thoughts
• Using few-shot prompting and examples to increase accuracy
• Understanding negative prompting and exclusion rules
• Structuring “do not,” “avoid,” and restrictive constraints to reduce errors
• Using negative prompts to improve the result relevency
• Building reusable prompt templates for marketing, branding, SEO, ads, and content

• Developing brand identity (mission, values, philosophy)
• Building brand personality and archetypes
• Creating clear messaging frameworks
• Tone, voice, and communication styles
• Designing brand visual systems: typography, color, layout
• Creating brand guidelines for consistency
• Positioning your brand in a competitive landscape
• Using AI to generate brand assets professionally
• Building brand stories and narratives
• Brand consistency across digital channels

• Choosing the right domain name for branding and SEO
• Understanding domain extensions and pricing models
• Registering domains on trusted platforms
• Choosing hosting types (Shared, Cloud, VPS, Managed)
• DNS configuration basics: A-records, CNAME, MX, TXT
• Connecting domain to hosting and enabling SSL
• Installing WordPress and doing initial configuration
• Selecting lightweight, high-performance themes
• Essential plugins for SEO, security and optimisation
• Creating pages, menus and sections using page builders
• Using Cursor for AI-assisted coding and customisation
• Using GitHub for version control and deployment
• Creating AI-generated UI layouts and components
• Building AI-powered websites and marketing pages
• Testing website performance, responsiveness and user experience

• How search engines work: crawling, indexing, ranking
• User intent and search behavior fundamentals
• Evolution: SEO (keyword) → AEO (answer engines)
• How LLMs retrieve, reason and generate answers
• Google SGE, Perplexity, ChatGPT Search ecosystem
• Ranking signals and algorithmic updates
• Keyword-based vs vector-based search
• Search vs recommendation vs generative results
• Hallucination, reliability and LLM evaluation
• Preparing for the future of search

• Tools for ideation, research, and strategy generation
• Tools for copywriting and long-form content creation
• AI-powered ad copy, headline, and hook generation
• AI tools for storytelling, tone matching, and voice adaptation
• Tools for text-to-image visual creation• AI video editing tools and script generation
• AI tools for social media planning and automation
• Tools for audience analysis and market intelligence
• AI tools for design, presentations, and brand asset creation
• Tools for reporting, analytics, and optimization
• AI tools for landing page copywriting and funnel content
• AI tools for email marketing sequences and nurture flows
• AI-based caption, carousel, and blog content frameworks
• Building an integrated AI-powered content and marketing workflow

• What modern SEO means in an AI-driven search ecosystem
• AI-based keyword clustering and search intent grouping
• On-page SEO fundamentals with LLM-assisted optimization
• Off-page SEO essentials: authority building, trust signals, citations
• Technical SEO fundamentals every marketer must know
• Understanding White Hat, Grey Hat and Black Hat SEO approaches
• Creating AI-first, authoritative content ecosystems
• AEO (Answer Engine Optimization) frameworks for LLM-based search
• Topical authority vs keyword authority in 2025 rankings
• Local SEO and geographic optimization best practices
• SERP analysis using AI tools and competitive intelligence
• Implementing LLM.txt for better AI search and chatbot visibility
• Using structured data and schema for AI-driven search
• SEO reporting, measurement, insights and continuous improvement

• How each platform’s algorithm works with trends
• Building content frameworks for short and long formats
• AI-powered scriptwriting for reels, shorts and carousels
• Building a personal brand across multiple platforms
• Designing high-performing creatives, visuals and thumbnails
• Platform-specific growth systems (Instagram, YouTube, X, LinkedIn, Threads)
• Meta Ads fundamentals (Facebook + Instagram advertising)
• LinkedIn Ads fundamentals for B2B growth
• X Ads fundamentals for trend-based and interest targeting
• Influencer marketing fundamentals and collaboration strategies
• Identifying, evaluating, and managing creators/influencers
• Monetization frameworks for IG, YT, LinkedIn, X (ads, brand deals, content products)
• Content repurposing workflows using AI
• Posting calendars, scheduling automation and platform analytics
•Platform insights interpretation for strategic decision-making
• Understanding threats: algorithm volatility, shadow bans, demonetization risks
• Policy risks, misinformation, content fatigue and audience churn

• Google Ads Ecosystem & Complete Campaign Types
 – Search Campaigns
 – Performance Max (PMax)
 – AI Max Campaigns (Next-gen AI-automated campaigns)
 – Demand Gen Campaigns (AI-powered Display + Video)
 – Display Campaigns
 – Video Campaigns (YouTube Ads)
 – Shopping / Smart Shopping
 – App Campaigns
 – Local Services Ads
 –  Demand Gen)
• Keyword Strategy and Intent Mapping
• Campaign & Ad Group Structuring Frameworks
• High-Converting Ad Copy & Creative Assets
• Performance Max Campaign Setup & Optimization
• Conversion Tracking with GA4 & GTM
• Audience Targeting, Segmentation & Retargeting
• Bidding Strategies & Budget Allocation
• Landing Page Optimization & CRO Basics
• Campaign Optimization, A/B Testing & Reporting Framework
• Auto-Created Assets (AI-generated headlines/descriptions/videos
• AI-Based Audience Signals & Predictive Audiences
• AI-Driven Creative Variants for Ads

• Introduction to GA4 and setup
• Understanding events and conversions
• User acquisition and traffic source tracking
• Behaviour flows and user journey analysis
• Funnel analysis and drop-off identification
• Reading engagement metrics and user signals
• Building custom reports and dashboards
• Connecting Google Ads and GA4
• Using insights to improve content and ads
• Data-driven decision making for marketing

• Choose a brand or business to work on
• Conduct a full SWOT and digital marketing audit
• Build a basic brand identity and messaging
• Buy domain, set up hosting, and install WordPress
• Build a website or landing page using AI + Cursor + WP
• Perform keyword research and create an AI-driven SEO plan
• Create a 30-day content strategy and posting framework
• Set up a basic Google Ads campaign (Search or PMax)
• Track performance using GA4 and generate insights
• Final presentation and evaluation by the panel