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Google SEO is Dead. Long Live LLM Optimization.

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For 25 years, getting found online meant one thing: rank on Google. Build backlinks, stuff keywords, chase PageRank. The rules were clear even if the game was dirty.



That era is ending. Not slowly — fast.



In 2024, Google launched AI Overviews. ChatGPT crossed 100 million weekly users. Perplexity grew 10x. People stopped clicking blue links and started asking questions and getting answers. The search engine is becoming an answer engine — and the optimization playbook has changed completely.



Here's what the data shows, what changed, and exactly what you need to do about it.









The numbers that changed everything






Google search click-through rates are collapsing






































Year Average organic CTR (position 1) Zero-click searches
2019 28.5% 49%
2021 25.6% 57%
2023 22.1% 65%
2024 18.4% 72%
2025 ~14% (est.) ~79% (est.)


Sources: SparkToro (2024), Semrush Search Behaviour Report (2024), Rand Fishkin / SparkToro Zero-Click Study



Even if you rank #1 on Google, nearly 4 in 5 searches now end without a click. Google answers the question itself — via featured snippets, AI Overviews, Knowledge Panels, and People Also Ask boxes.









LLM usage is growing at a rate search never did











































Platform Monthly active users (2024) YoY growth
Google Search 8.5 billion queries/day +2%
ChatGPT 100M+ weekly users +300%
Perplexity 10M+ monthly users +900%
Microsoft Copilot (Bing AI) 5B+ chats (cumulative) N/A
Claude (Anthropic) 30M+ monthly users +400%
Gemini (Google) Integrated into 1B+ devices N/A


Sources: OpenAI blog (2024), Perplexity investor deck (2024), Microsoft Build keynote (2024), Anthropic usage reports









Traditional SEO vs LLM Optimisation — side by side


























































Factor Traditional SEO (Google) LLM Optimisation (AEO)
Goal Rank on page 1 Be cited as a source
Signal Backlinks, domain authority Semantic clarity, structured data
Content format Keyword-dense, long-form Clear, factual, well-structured
Key file
sitemap.xml, robots.txt

llms.txt, robots.txt with AI crawlers allowed
Metadata Title tags, meta description JSON-LD schema, og: tags
Discovery Googlebot crawl GPTBot, ClaudeBot, PerplexityBot crawl
Trust signal PageRank, backlinks Named entity recognition, structured facts
Measurement Rankings, organic traffic Citations in AI answers, brand mentions
Optimise for Algorithm Understanding








What changed in each era






Era 1: PageRank (1998–2010)



Google's original insight was that links = votes. More links from authoritative sites = higher rank. SEO meant building backlinks, often artificially.



Optimise for: Quantity of inbound links






Era 2: Content & Keywords (2010–2018)



Panda (2011) and Penguin (2012) killed link spam. Content quality started mattering. Keyword research became a discipline. Long-form content won.



Optimise for: Keyword relevance + content depth






Era 3: E-E-A-T & Structured Data (2018–2023)



Google's Quality Rater Guidelines introduced Experience, Expertise, Authoritativeness, Trustworthiness. Schema markup (JSON-LD) let sites communicate structured facts directly to Google.



Optimise for: Author credibility + structured data






Era 4: Answer Engines & LLMs (2024–present)



AI Overviews, ChatGPT, Perplexity, Claude. The answer is generated, not linked. Your content either gets synthesised into the answer or it doesn't exist.



Optimise for: Being understood and cited by AI









The new technical checklist






What still matters from traditional SEO




  • sitemap.xml — LLM crawlers use it too

  • ✅ Fast page load — still a ranking signal

  • ✅ Mobile-friendly — non-negotiable

  • ✅ HTTPS — baseline trust signal

  • ✅ Clean URL structure






What's new for LLM optimisation




  • llms.txt — new standard at llmstxt.org

  • robots.txt — explicitly allow GPTBot, ClaudeBot, Google-Extended, PerplexityBot

  • ✅ JSON-LD structured data — Person, Article, WebSite schemas

  • ✅ IndexNow — push URLs to search engines instantly on publish

  • ✅ Named entity clarity — state who you are, what you do, where you are, explicitly

  • ✅ Factual, citable content — LLMs cite sources that state facts clearly






What no longer works




  • ❌ Keyword stuffing

  • ❌ Thin content optimised for one keyword

  • ❌ Blocking AI crawlers

  • ❌ Optimising only for click-through









The citation economy



Traditional SEO was a ranking economy — position 1 gets 28% of clicks, position 10 gets 2%.



LLM optimisation is a citation economy — either your content is used to generate the answer, or it isn't. There's no position 2.



The way to win citations:





  1. State facts clearly — LLMs extract factual sentences


  2. Use structured data — JSON-LD tells crawlers exactly what type of thing you are


  3. Be consistent across the web — your LinkedIn, GitHub, and website should all describe you the same way


  4. Publish original insights — LLMs prefer primary sources over aggregators


  5. Update content — stale content gets deprioritised









What to do this week




  1. Add llms.txt to your root

  2. Update robots.txt to allow AI crawlers

  3. Add JSON-LD Person schema to your homepage

  4. Submit sitemap.xml to Google Search Console and Bing Webmaster Tools

  5. Set up IndexNow for instant indexing on publish






Building your own LLM-optimised presence? .

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