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Course Content
Video Lessons Types
Multiple video sources
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Interactive Mentor-Led Learning | Doubt Solving & Hands-On Practice Session
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Experience, Stories, Tips – Tricks & Practical Advice
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Search has evolved from PageRank‑weighted link popularity to AI‑driven understanding of intent, entities, and multimodal answers, with continual core updates shaping quality and spam defenses. Looking forward, AI Overviews/Mode and conversation‑style search will increase zero‑click answers and reward authoritative, people‑first content with strong technical foundations.

Key milestones

  • Quality pivots: Panda penalized thin/duplicate content; Penguin targeted manipulative links; Hummingbird enabled conversational, semantic matching; Pigeon strengthened local relevance.

  • AI in ranking: RankBrain improved query interpretation, while modern ranking systems combine multiple signals and ML to better map words to concepts and intent.

  • Continuous updates: Frequent core and spam updates refine relevance and fight abuse, requiring resilient, user‑focused SEO rather than tricks.

What’s next

  • AI Overviews/Mode: Google’s AI snapshots and a new AI tab synthesize multi‑source answers, reduce clicks, and favor expert, structured, entity‑rich content.

  • Entity and experience focus: Optimization shifts from exact keywords to entities, E‑E‑A‑T, and first‑hand evidence to win inclusion in AI‑generated results.

  • New success metrics: Expect lower CTR for some queries; emphasize engagement quality, assisted conversions, and diversified discovery beyond traditional blue links.

Outcome
Adapting to AI‑centric search means prioritizing depth, credibility, structured data, performance, and brand authority to earn visibility across evolving SERPs and AI experiences.

 
 
 
 
 
Exercise Files
Session 6 App Store Optimization Subject Code 21DMS007 Ms. Saba K.pdf
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