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Navigating The Era Of AI-Powered Search
- 1. Navigating The Era OfAI Powered Search : by Stephen Akadiri http:/ /linkedin.com/in/stephen-akadiri
- 2. Hallo, I'm Stephen Akadiri Hallo,I'm Stephen Akadiri International speaker Organic Growth Specialist
- 3. GEO LLMSEO AEO AISEO SGE Thereare several acronyms out there for AI search...
- 6. RAG Passage Retrieval Query Fan- Out Vector Embeddings Cosine Similarity Buzzwords! Buzzwords!Buzzwords! Buzzwords! And lots more...
- 7. 7 Search is nolonger a single- engine behaviour
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- 10. 10 Finding information once meanttyping a few keywords into Google and skimming through links.
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- 12. Today, AI mode& AI overviews answer most informational queries without the need to click.
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- 15. These platforms haveexpanded the scope of search
- 16. 16 Does that mean it'sthe end for search marketers?
- 17. Users now search throughevolving prompts, not one- off queries. 17
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- 19. SEO has evolvedbeyond SERP rankings; it’s now about showing up wherever people choose to ask their questions. 19
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- 22. Search behavior is shiftingtowards quick, direct answers over lengthy result pages.
- 23. Your SEO, content,and brand strategy must evolve.
- 24. So, how dowe optimise for AI search ?
- 25. First, we needto understand how AI search works 1. Semantic Parsing & Content Embeddings AI converts your content into embeddings and analyzes semantic structure, topical depth, and contextual coherence. 2. Trust & Authority Scoring Models evaluate expertise, source authority, factual reliability, authorship signals, and cross-platform consistency to assign credibility weight.
- 26. 3. Relevance &Utility Scoring AI applies intent, response matching, answer completeness checks, and utility scoring to determine how useful your content is for real queries. 4. Intent Pathways & Interaction Reinforcement AI links content to user intent clusters and boosts retrieval using interaction signals like clicks, dwell time, and citations.
- 27. AI understands context, meaning,and intent. 27
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- 29. AI understands howtopics connect, so your content must form a clear and interconnected knowledge structure. 29
- 30. The question nolonger “How do I rank?” but “How do I earn AI trust?” 30
- 31. 1. Google isstill the king 👑 2. Most ChatGPT users also still use Google 3. AI Search is a modified form of E-E-A-T & reputation management 4. AI Search overlaps basic SEO principles
- 32. “AI Search currently drivesless than 1% of traffic to most sites. Google is still dominant.” GLENNGABE All hail the king, Google👑
- 33. Most ChatGPT usersstill make use of Google.
- 34. AI Search isa modified form of E-E-A-T & reputation management 34 It measures your reputation, not just individual pages. It evaluates your Expertise, Experience, Authority, and Trust, through content consistency and real-world signals. It prioritizes trustworthy sources with strong long-term signals over one-hit pages.
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- 36. Traditional search treats eachquery as a standalone request. AI Mode and most LLMs operates on context retention. We must optimise for both search methods to evolve effectively.
- 37. Content and SiteOptimization Best Practices for SEO & AI search
- 38. Add structured data forcontext. 1. Organize content in logical categories. Keep entities and naming consistent across the site. Optimise titles, metadata, header structure, and schema.
- 39. Ensure fast load times,clean HTML, and proper canonicals. 2. Maintain tight technical hygiene. Use clean, descriptive URLs. Monitor robots.txt, sitemaps, log files, and structured data validation.
- 40. 3. Ensure yourcontent is properly indexed, and structured so AI can accurately retrieve and cite it. 40
- 41. 4. Refresh content frequently with updatedstats, expert insights, and facts. 41
- 42. 5. Use toolslike Profound and Promptwatch to monitor where and how your brand is mentioned in AI summaries. 42
- 43. Define AI-specific goals andmetrics (performance vs. branding KPIs). Track AI visibility: grounded vs. model-generated answers. Format for readability: tables, lists, Q&A blocks, and summaries. 6.Optimize and Measure Accurately
- 44. 7. Watch thepaths users take and decisions they make independently.
- 45. 8. Authority isshifting toward sources that show consistent topical leadership, not just occasional high- performing pages.
- 46. Get my step-by-stepAI Search Optimization checklist for free
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- 49. 49 Predictive search will changehow people find information. AI now anticipates user needs before they even ask. Applications - web search, ecommerce platforms & enterprise solutions.
- 50. Personalization will dominate, every user’ssearch journey will become unique. 50
- 51. Multi-modal search: Voice, visualwill fully define how people discover brands. 51
- 52. “Prompt influence” will becomea measurable marketing metric. 52
- 53. By 2026, Googlemay evolve into a middleman, curating AI summaries rather than ranking web pages. 53
- 54. What This Meansfor Marketers 54
- 55. Your brand’s valuewill be judged by how understandable, trustworthy, and verifiable it is to both humans and machines. 55
- 56. Marketers must nowthink like information architects. 56
- 57. 57 How Do IFuture-proof My Strategy?
- 58. 58 Build for multi- surfacediscovery, connect experiences seamlessly across devices and platforms.
- 59. While AI searchis evolving and taking dominance, remember it leads to organic search. AI search and Google search will constantly overlap, so don't abandon your traditional SEO strategy.
- 60. Key takeaways 1. AIhas transformed search into multi-platform behaviour, not a single engine action. 2.AI SEO still piggybacks on traditional SEO 3.Strong entity signals (consistency, credibility, context) drive visibility across AI tools. 4.Optimise for ecosystems, not algorithms. 5. Decentralise your strategy. Ensure your brand is discovereable across platforms.
- 61. Search has outgrown thesearch bar in an AI-powered world. Our job is to show up wherever curiosity happens.
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