How Founders Use AI

How people use AI, and the tool for each job.

The AI map of which tool is for which job, checked on 29 October 2026, what changed since July, and every video, thread, guide, podcast and tool behind 360 answered questions on putting AI to work.

The AI map: which tool is for which job, as of 29 October 2026

Models and assistants AI assistants Frontier models Open-weight models Decision models

Building with AI Coding agents App builders Design and presentations Spreadsheets, data and internal tools

Agents and research Agents that do tasks for you AI browsers No-code automation with AI steps Research and search Meeting notes and everyday productivity

Making media Video generation Images Avatars and voice Music and audio Video editing

AI at work Prospecting and sales Marketing, ads and AI search Customer support agents Legal and contracts Finance and accounting Hiring and HR

What changed since July

  1. 28 Oct 2026 GitHub began including Copilot with GitHub Enterprise licences and added projects to the Copilot app, where several agents work across repositories. Coding agents github.blog
  2. 27 Oct 2026 n8n released the 3.0 beta, a reliability and security release with breaking changes; self-hosting now runs on Docker only and the stable release is due in early December. No-code automation with AI steps blog.n8n.io
  3. 27 Oct 2026 Hex released Hex 4.0, rebuilt for analysts and AI agents working together, with a $100 million raise. Spreadsheets, data and internal tools hex.tech
  4. 26 Oct 2026 Replit launched Replit for Business, and the next day Cloud Agents that let non-engineers propose changes to a company codebase. App builders blog.replit.com
  5. 26 Oct 2026 OpenAI released GPT-6.1 Terra at $1 / $5 per million tokens, half the price of GPT-6.1 Sol. Frontier models openai.com
All 108 changes

What founders use most, ranked by how many answers lean on it.

  1. 3.7M citations analyzed: 91% of cited URLs appear in only one engine, which changes your whole strategy. growth-memo.com Article The Consensus Gap Kevin Indig (Growth Memo)
  2. Video How AI Search Engines Work (Ahrefs AEO Course 1.1) Ahrefs (Sam Oh)
  3. Video How Ranking in Google AI Overviews, ChatGPT, and Perplexity Differ (Ahrefs AEO Course 1.2) Ahrefs (Sam Oh)
  4. Reputation specialists explain the authority and extractability signals engines reward. fiveblocks.com Article How do AI-powered search engines like Perplexity rank and cite sources? Five Blocks
  5. Primary source on how ChatGPT rewrites queries and picks sources when it searches the web. help.openai.com Guide ChatGPT Search (official help article) OpenAI
  6. The Perplexity founder explains RAG and citations in his own words, straight from the source. open.spotify.com Podcast Aravind Srinivas: Perplexity CEO on the Future of AI, Search & the Internet Lex Fridman Podcast / Aravind Srinivas
  7. Original research on 31k keywords showing what answer engines actually cite versus what ranks. graphite.io Article AI Content In Search & LLMs Graphite
  8. A quarter-million responses analyzed to show where models' brand opinions actually come from. seerinteractive.com Article The GEO Olympics Study: What 231,347 LLM Responses Reveal About AI Brand Visibility Seer Interactive
  9. A plain-language walkthrough of the founding research if you skip the arXiv PDF. thegeocommunity.com Article The Original GEO Paper: Princeton & IIT Delhi Study Findings Explained The GEO Community
  10. How the leading AI visibility platform frames retrieval, understanding, and citation mechanics. tryprofound.com Article What is answer engine optimization (AEO)? Profound
  11. Separates training-data representation from live retrieval, the distinction most founders miss. ultrascout.ai Article How Does ChatGPT Decide Which Brands to Recommend? UltraScout
  12. Digs into Perplexity's curated authority lists and freshness weighting. datastudios.org Article How Does Perplexity Choose and Rank Its Information Sources? Data Studios
  13. Actionable list of the signals that get a page through Perplexity's reranking filters. keyword.com Guide Perplexity AI ranking factors: A guide for SEOs Keyword.com
  14. Connects the citation mechanics directly to brand tactics you can execute this quarter. trysight.ai Article How ChatGPT Cites Brands: Mechanics, Signals & Strategy Sight AI
  15. Focused specifically on earning Perplexity citations, the engine most founders ignore. tryanalyze.ai Guide Perplexity AI Ranking Guide: What Drives Citations Analyze AI
  16. A living, community-vetted index of GEO research, tools, and guides to go deeper. github.com Guide awesome-generative-engine-optimization (curated repo) Amplifying AI (GitHub community)
  17. Video Webflow AEO Case Study (Graphite) Webflow x Graphite
  18. The biggest public dataset showing how heavily ChatGPT leans on Reddit and Wikipedia as evidence. semrush.com Article Semrush Releases Expanded 2026 AI Visibility Index (126M prompts) Semrush
  19. Distills G2's answer-economy research into concrete moves for SaaS founders. foundationinc.co Article How AI Search Is Rewiring B2B Software Buying (G2 Report analysis) Foundation Marketing
  20. Review-site citations are the number one trust signal in AI answers, straight from the data. prnewswire.com Article New G2 Research: Half of B2B Software Buyers Now Start With AI Chatbots G2
  21. PR-industry data showing earned media feeds 99% of brand-related AI queries. muckrack.com Article How earned media shapes what AI says about your brand Muck Rack
  22. Shows why a handful of trusted outlets drive most AI visibility, so PR effort can be concentrated. meltwater.com Article How Digital PR Affects AI Visibility and Search Outcomes Meltwater
  23. Explains why unlinked brand mentions still shape LLM answers, upending link-first PR thinking. wearebottle.com Article How Digital PR is Redefining Brand Visibility: What Influences LLMs Bottle
  24. Actual citation counts across Claude, Gemini, and GPT quantifying Wikipedia's outsized pull. weglot.com Article Do LLMs Prefer Wikipedia? We Analyzed 6,844 Citations Weglot

Show the next 24

Playbooks

A goal, and the route through it a step at a time.

Start using AI well Pick an assistant, learn with it, hand it real work, and keep yourself and your data safe. 5 steps Build your product with AI From a prompt to a shipped product: prototype, build, and wire AI into what you ship. 6 steps Code and ship with AI Write, ship, and maintain real software as a founder, with AI as your pair. 4 steps Design and prototype with AI Go from idea to a clickable prototype without a designer. 3 steps Build AI agents and automations Wire up agents and internal tools that do real work for you. 3 steps Put AI inside your product Ship AI features users actually feel, not a bolted-on chatbot. 3 steps Research your market with AI Size the market, study competitors, and read data in hours, not weeks. 3 steps Market and grow with AI Content, creative, and distribution: fill the top of the funnel without a big team. 5 steps Create content with AI Write, film, and design a content engine that runs without a team. 3 steps Get found in AI search Show up when founders and buyers ask AI, not just Google (AEO/GEO). 3 steps Run ads with AI Brief creatives, read the numbers, and optimize spend with AI. 3 steps Find and serve customers with AI Research the market, prospect, close, and support, with AI doing the heavy lifting. 4 steps Sell and prospect with AI Find leads, personalize outreach, and run better sales calls. 3 steps Support customers with AI Answer faster and deflect tickets without losing the human touch. 3 steps Run the back office with AI The unglamorous grind: workflows, finance, legal, and hiring, automated where it counts. 5 steps Automate your workflows Stitch your tools together so the busywork runs itself. 3 steps Hire and manage your team with AI Source, screen, and onboard faster, and keep the team in sync. 3 steps Handle legal and finance with AI Draft contracts and stay on top of the numbers without a big spend. 2 steps Be more productive with AI Get more done and think sharper with AI as a daily habit. 3 steps Become an AI-native founder The meta-skills: build your stack, prompt well, and use AI to research, think, and decide. 6 steps Build your AI stack Pick the tools worth paying for and the prompts worth reusing. 3 steps

The questions, by topic

Building & Product

Vibe Coding 20 Databases & Internal Tools 11 AI Agents 15 Design & Prototyping 14 AI in Your Product 15

Research & Knowledge

Search & Research 16 Market Research 13 Data Analysis 13

Marketing & Growth

Content Creation 14 Video, Image & Audio 27 Getting Found in AI Search (AEO/GEO) 12 Ads & Performance Marketing 14 Social & Community 12

Sales & Customers

Sales Prospecting 13 Customer Support 6 CRM & Sales Calls 12

Operations & Back-office

Legal & Contracts 13 Finance & Accounting 3 Hiring & HR 3 Productivity 5 Workflows & Automation 3

Strategy & The AI-Native Founder

Fundraising 6 Prompting 4 Building Your AI Stack 5 AI as a Thinking Partner 5

Everyday AI

Choosing Your AI Assistant 15 Learning with AI 8 Working with AI Agents 8 Using AI Safely 9 AI in Indian Languages 8 Quick Fixes for Files, Photos and Video 26 AI for Your Line of Work 12
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