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Tom Mansell - BrightonSEO | Using AI to optimiz...

Avatar for Tom Mansell Tom Mansell
September 12, 2025
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Tom Mansell - BrightonSEO | Using AI to optimize workflows and supercharge performance

Avatar for Tom Mansell

Tom Mansell

September 12, 2025
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  1. Growing visibility in traditional Google search with tech, content and

    backlinks Optimizing for featured snippets, people also ask, AIOs with short concise answers Optimizing for AI chatbots via citation/summaries using EEAT principles, structured data and content syndication Optimizing for AI chatbots via citation/summaries 
 using EEAT principles, structured data and content syndication SEO LLMO AEO GEO
  2. Growing visibility in traditional Google search with tech, content and

    backlinks Optimizing for featured snippets, people also ask, AIOs with short concise answers Optimizing for AI chatbots via citation/summaries using EEAT principles, structured data and content syndication Optimizing for AI chatbots via citation/summaries 
 using EEAT principles, structured data and content syndication SEO LLMO AEO GEO
  3. TRADITIONAL SEARCH ENGINES VERTICAL & COMMUNITY SEARCH SOCIAL SEARCH &

    VOICE ASSISTANTS THE AI SEARCH REVOLUTION Search has evolved, from traditional Search Interpreters to Search Intelligence
  4. TRADITIONAL SEARCH ENGINES VERTICAL & COMMUNITY SEARCH SOCIAL SEARCH &

    VOICE ASSISTANTS THE AI SEARCH REVOLUTION Understand the platforms your audiences are shifting to for discovery Source: SparkToro, indexed usage of platforms for audience vs. US avg. +110% +180% +85% +45% +340% +190% +80% +120%
  5. EEAT Schema Content Utility How we optimize for these experiences

    is a build on things we’ve been doing for a while Ensuring we are able to demonstrate credibility and trustworthiness throughout Structured 
 data markup Be useful/
 informative/engaging across all platforms
  6. We’re going to focus on these areas today, and share

    some examples of how AI can assist your workflows in these areas
  7. There’s some fantastic examples from our community Auditing at scale

    LLM Optimizer for Screaming Frog 
 (credit Robin Adams and Metehan Yeşilyurt) 1. Go to Configuration → Custom → Custom JavaScript 2. Paste the full llmo-analyzer.js script 3. Enter your Gemini API key (https://aistudio.google.com/) 4. Enable JavaScript Rendering under Configuration → Spider → Rendering 5. Run your crawl → Custom JS output tab EEAT
  8. There’s some fantastic examples from our community Auditing at scale

    Topic Coverage: 95/100 Content Depth: comprehensive E-E-A-T Scores: • Experience: 90/100 • Expertise: 95/100 • Authority: 90/100 • Trust: 95/100 Answer Gaps: Lack of direct answers to many common questions, Inconsistent use of headings for easy extraction, Missing concise summaries of key information CONTENT QUALITY METRICS EEAT
  9. Creating structured data recommendations at scale Creating structured data en-masse

    1. Go to Configuration → Crawl Config → Store HTML 
 + Store Rendered HTML 2. Go to API Access → Gemini → Enter API Key → Connect 3. Select Prompt Configuration → Enter Structured 
 Data Prompt 4. Run your crawl → View AI output tab Connecting Gemini to Screaming Frog Structured Data
  10. Setting up custom Gems 1. Open Gemini 2. Explore Gems

    → New Gem 3. Enter Instructions (modify for your specific use-case - you can also get Gemini to do this for you!) 4. Save Gem 5. Navigate to Gem and Enter URL of Reddit post Answering questions 
 audiences are asking Use Gemini to create content briefs Content Utility
  11. Tracking how often you are mentioned, 
 and how often

    you are a cited source Source: BrandAI, Croud
  12. → E.g. Interactive guides and videos on UK charging locations,

    home setup, and public network access → E.g. Behind-the-scenes video series on Ford's latest EV technology Source: BrandAI, Croud
  13. Whether it helps you audit OVERALL LLMO SCORE: 78/100 POTENTIAL

    SCORE: 92/100 OPTIMIZATION PRIORITY: MEDIUM PRIMARY LIMITING FACTORS: Lack of direct answers, Missing FAQ schema, Limited use of visual aids LLMO ANALYSIS RESULTS