{
  "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
  "docSlug": "5df6bd1b0447b5f6",
  "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 117,
  "pageCount": 313,
  "prevPage": 116,
  "nextPage": 118,
  "slideType": "industry_trends",
  "function": "summarize",
  "density": "dense",
  "nDataPoints": 4,
  "notes": "Data sourced from Profound, an answer engine optimization company.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/117",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-117",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Answer engines are no longer just a curiosity - they're a primary entry point for serious queries.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-41ac-7180-a826-d17b28b523ed",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.9,
        "x": 0.05,
        "y": 0.35
      },
      "kind": "list",
      "text": "In an average session, users send ~5 prompts and receive ~5 responses, far more interaction than a typical search query, scroll, and blue-link click.\nProfound data shows ChatGPT users average 5.6 turns per session, versus ~4 for Gemini and Perplexity, and ~3.9 for DeepSeek. Either more turns means more engaging conversations, or fewer turns means answers are given more efficiently.\nConversation styles differ: DeepSeek users write the longest prompts and get the most verbose answers, while Perplexity delivers shorter, citation-heavy responses.\nThis iterative style and memory capability makes answer engines “sticky” and explains why they already deliver higher conversion rates than Google.\nProfound’s analysis shows ChatGPT’s crawler is now among the top 10 most active bots on the internet, alongside Googlebot and Bingbot.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cd351d09-1204-4113-9972-9e9bda92143a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "turns per session: 5.6",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-41ac-7180-a826-d40afef64871",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.9,
        "x": 0.05,
        "y": 0.21
      },
      "kind": "paragraph",
      "text": "Data from answer engine optimization company Profound shows that users treat AI answer engines differently from Google. Sessions are longer, with more back-and-forth, suggesting higher intent and better conversion potential. Answer engines are no longer just a curiosity - they're a primary entry point for serious queries.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "415cf299-d09c-49a6-95dd-4eb391280879",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.55,
        "x": 0.05,
        "y": 0.14
      },
      "kind": "title",
      "text": "Answer engines drive deeper engagement than search",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1eedec0a-9bf4-43fc-a3a5-7006636af2d6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Data Story Arc",
      "slug": "data-story-arc",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "aa4d77b9-e241-463a-951b-6ef98da43294",
      "evidence": "The slide presents data on user engagement with AI answer engines, indicating a clear narrative arc.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 189,
      "from": 12,
      "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
      "position": 1,
      "confidence": 70,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    },
    {
      "to": 189,
      "from": 90,
      "beatId": "019dd95a-0682-776c-8e35-b06421e14afb",
      "arcName": "The Onion",
      "arcSlug": "onion",
      "beatName": "Deeper Layer",
      "beatSlug": "onion-deeper-layer",
      "evidence": "Industry section exposes economics, infra, geopolitics beneath research.",
      "position": 3,
      "confidence": 45,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}