The Answer-Engine Landscape & The AEO Mindset
Before tools or tactics, you need a clear mental model of how AI answer engines work — and why they fundamentally change how brands earn visibility. Google AI Overviews now appear on roughly 60% of informational queries and reduce organic CTR by 61% when present. Claude, ChatGPT, Perplexity, Gemini, Grok and DeepSeek now absorb a meaningful share of brand discovery. Master the why before the how.
- From SEO to AEO to GEO — the evolution of search across the answer layer
- How each major engine retrieves, ranks, and cites: Claude, GPT-4o, Perplexity, Gemini, Grok, DeepSeek
- The economics of zero-click — why brand mention matters even without clicks
- Citation patterns and triggers — what makes content quotable to AI systems
- The E-E-A-T framework refreshed for the AI search era (Experience, Expertise, Authoritativeness, Trustworthiness)
- Indian buyer behaviour on AI assistants — Tier-1 and Tier-2 city patterns
Audit how three brands appear across the six major AI engines for ten high-intent queries each. Document the citation surface and identify patterns.
Write a 1,500-word assessment of how AI search behaviour differs from Google search behaviour in the Indian SaaS market, with five specific examples.
"A B2B SaaS brand has strong Google rankings but zero mentions on Perplexity or ChatGPT. Diagnose the structural reasons in five minutes." — strong answer probes schema completeness, llms.txt presence, off-site citation density, entity grounding on knowledge graphs, and atomic-answer paragraph structure.
Foundation knowledge assessed in the certification exam