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    "title": "LLM Visibility Tracker — ChatGPT, Claude, Perplexity, Gemini",
    "description": "Track LLM visibility, ranking, share-of-voice, and citations for any brand across ChatGPT, Claude, Perplexity, and Gemini MCP-ready. $0.090/result.",
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        "required": [
          "brand"
        ],
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          "brand": {
            "title": "Brand or product name",
            "type": "string",
            "description": "REQUIRED. The brand, product, company, or tool name to track in LLM answers (e.g., 'Notion', 'Ahrefs', 'HubSpot', 'Stripe'). This is the only required input — everything else has sensible defaults. Do NOT put competitor names here; use the 'competitors' field for those. Aliases accepted: brandName, company, product, name, tool."
          },
          "domain": {
            "title": "Brand website domain",
            "type": "string",
            "description": "Optional but recommended. The brand's primary domain (e.g., 'notion.so', 'ahrefs.com'). Used to detect when an LLM cites the brand's own site as a source. Without this, citation tracking is text-only. Aliases accepted: brandDomain, website, url, homepage."
          },
          "aliases": {
            "title": "Brand aliases (alternate names)",
            "type": "array",
            "description": "Optional. Other names the brand is known by (e.g., ['Notion', 'Notion HQ', 'Notion AI']). The actor treats any alias mention as a brand mention. Useful for brands with abbreviations or sub-product names. Aliases accepted: brandAliases, alternateNames, otherNames.",
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              "type": "string"
            }
          },
          "competitors": {
            "title": "Competitor brands to compare",
            "type": "array",
            "description": "Optional but high-value. Up to 10 competitor brand names (e.g., ['Coda', 'ClickUp', 'Asana']). Drives the share_of_voice_pct metric and competitor co-mention tracking. If omitted, share-of-voice is not calculated. Aliases accepted: competitorBrands, competitorNames, rivals.",
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          },
          "category": {
            "title": "Product category or industry",
            "type": "string",
            "description": "Optional. The category the brand competes in (e.g., 'project management', 'SEO tools', 'CRM', 'AI writing assistant'). Used to make the auto-generated prompts more specific and natural. Leave blank to use generic phrasing. Aliases accepted: industry, niche, vertical."
          },
          "llms": {
            "title": "Which LLMs to query",
            "type": "array",
            "description": "Optional. The LLMs to query — defaults to all 4. Valid values: 'chatgpt' (OpenAI gpt-4o-search-preview with web search), 'claude' (Anthropic Claude Sonnet 4.5 with web_search tool), 'perplexity' (Perplexity Sonar with native citations), 'gemini' (Google Gemini 2.5 Flash with Google Search grounding). Aliases accepted: platforms, engines, aiPlatforms, models.",
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            },
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              "chatgpt",
              "claude",
              "perplexity",
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            ]
          },
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            "title": "Audit depth",
            "enum": [
              "quick",
              "standard",
              "deep"
            ],
            "type": "string",
            "description": "Optional. Audit depth preset: 'quick' (3 prompts × selected LLMs ≈ 12 checks), 'standard' (5 prompts × selected LLMs ≈ 20 checks, default), or 'deep' (10 prompts × selected LLMs ≈ 40 checks). Use 'quick' for fast spot-checks and scheduled monitoring. Use 'deep' for one-time audits and competitive analysis. Overridden by maxPrompts if both are set.",
            "default": "standard"
          },
          "promptIntents": {
            "title": "Prompt intent categories",
            "type": "array",
            "description": "Optional. Categories of prompts to auto-generate. Defaults to a balanced mix. Available intents: 'recommendation' (best/top X for use case), 'alternatives' (alternatives to brand), 'how_to' (how do I [task] using [category]), 'comparison' (X vs Y), 'use_case' (which X should I pick for Y), 'review' (is X any good?), 'pricing' (is X worth the money?). If you provide 'customPrompts', those are used in addition to the auto-generated ones. Aliases accepted: queryTemplates, intents, promptCategories.",
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            },
            "default": [
              "recommendation",
              "alternatives",
              "how_to",
              "use_case"
            ]
          },
          "customPrompts": {
            "title": "Custom prompts (real questions users ask)",
            "type": "array",
            "description": "Optional. Specific prompts to send to each LLM, in the natural phrasing your customers use (e.g., 'What's the best note-taking app for engineers?', 'Should I switch from Evernote to Notion?'). These run IN ADDITION to auto-generated prompts. If you ONLY want to run custom prompts, also set promptIntents to []. Aliases accepted: prompts, customQueries, queries, questions.",
            "items": {
              "type": "string"
            }
          },
          "maxPrompts": {
            "title": "Max prompts per LLM (overrides mode)",
            "minimum": 1,
            "maximum": 30,
            "type": "integer",
            "description": "Optional override. Hard cap on how many unique prompts to send to each LLM. Each prompt × LLM = one paid check. Leave blank to use the 'mode' preset. Aliases accepted: maxQueries, maxQueriesPerPlatform, limit."
          },
          "webhookUrl": {
            "title": "Webhook URL (optional)",
            "type": "string",
            "description": "Optional. HTTPS URL that receives a POST with the full run summary (visibility_index, share_of_voice_pct, per-LLM scores, recommendations) when the run completes. Use it to push results into Make.com, Zapier, n8n, Slack, or your own dashboard. Aliases accepted: webhook, callbackUrl, notifyUrl."
          },
          "demoMode": {
            "title": "Health check / dry-run mode",
            "type": "boolean",
            "description": "Optional. When true, runs a connectivity check without calling any LLM and exits successfully. Use this to validate scheduling and wiring without spending credits. Aliases accepted: dryRun, healthCheck, testMode.",
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          }
        }
      },
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                "type": "string",
                "example": "READY"
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                  "origin": {
                    "type": "string",
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                  "userAgent": {
                    "type": "string"
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                }
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