mongodb.com shows sustained decline with 3 consecutive months of decreases, down 14% overall to 5M.

{
  "signal_id": "5c71f807-009a-4002-a63f-3dc25c98a539",
  "signal_type": "seo-traffic",
  "signal_subtype": "sustainedDecline",
  "detected_at": "2026-08-13T11:48:15.511+00:00",
  "company": {
    "name": "MongoDB",
    "domain": "mongodb.com"
  },
  "data": {
    "trend": "consecutive_decline",
    "summary": "mongodb.com shows sustained decline with 3 consecutive months of decreases, down 14% overall to 5M.",
    "traffic": {
      "2026-05-01": 5843764,
      "2026-06-01": 5142324,
      "2026-07-01": 5000787
    },
    "category": "computers_electronics_and_technology/programming_and_developer_software",
    "relevance": 7.7,
    "ai_traffic": {
      "total_visits": 115795,
      "top_platforms": [
        {
          "name": "chatgpt.com",
          "rank": 1,
          "share": 70.284
        },
        {
          "name": "gemini.google.com",
          "rank": 2,
          "share": 20.999
        },
        {
          "name": "perplexity.ai",
          "rank": 3,
          "share": 0.904
        },
        {
          "name": "claude.ai",
          "rank": 4,
          "share": 0
        }
      ],
      "traffic_share": 0.023
    },
    "engagement": {
      "bounce_rate": 0.295,
      "pages_per_visit": 8.963,
      "avg_visit_duration_seconds": 367
    },
    "global_rank": 7886,
    "mail_visits": 115018,
    "country_rank": 1778,
    "top_keywords": [
      {
        "cpc": 0.9,
        "name": "mongodb",
        "volume": 367300,
        "estimated_value": 283820
      },
      {
        "cpc": 2.2,
        "name": "mongodb atlas",
        "volume": 156260,
        "estimated_value": 145860
      },
      {
        "cpc": 0.97,
        "name": "mongo db",
        "volume": 42910,
        "estimated_value": 31730
      },
      {
        "cpc": 1.32,
        "name": "mongodb compass",
        "volume": 32550,
        "estimated_value": 26000
      },
      {
        "cpc": 1.32,
        "name": "supabase",
        "volume": 2125640,
        "estimated_value": 25000
      }
    ],
    "traffic_band": "established",
    "category_rank": 76,
    "direct_visits": 2405379,
    "search_visits": 1620255,
    "small_website": false,
    "snapshot_date": "2026-07-01T00:00:00+00:00",
    "social_visits": 305048,
    "top_countries": {
      "DE": 0.025,
      "GB": 0.03,
      "IN": 0.373,
      "PK": 0.033,
      "US": 0.17
    },
    "website_title": "什么是矢量数据库？",
    "brand_strength": "strong",
    "change_3mo_pct": -14.4,
    "change_mom_pct": -2.8,
    "referral_visits": 290046,
    "traffic_sources": {
      "mail": 0.023,
      "paid": 0,
      "direct": 0.481,
      "search": 0.324,
      "social": 0.061,
      "referral": 0.058
    },
    "ai_traffic_level": "emerging",
    "ai_traffic_detail": "Emerging AI traffic at 2.3% (~115,795 visits). Top: chatgpt.com (70%), gemini.google.com (21%), perplexity.ai (1%), claude.ai (0%).",
    "geo_concentration": "moderately_concentrated",
    "referral_strength": "moderate",
    "search_dependency": "low",
    "consecutive_months": 3,
    "engagement_quality": "high",
    "brand_keyword_ratio": "3/5",
    "website_description": "了解什么是矢量数据库、它是如何工作的，以及为什么 MongoDB Atlas Vector Search 在生成式人工智能讨论中发挥着重要作用。",
    "country_rank_country": "IN",
    "digital_health_label": "excellent",
    "digital_health_score": 87,
    "social_traffic_level": "moderate",
    "brand_strength_detail": "Strong brand recognition with 48% direct traffic. Brand keyword ratio: 3/5.",
    "digital_health_detail": "Score 87: Engagement 95/100 (25%), Volume 100/100 (20%), Brand 96/100 (15%), Diversification 80/100 (15%), Rank 100/100 (15%), AI Readiness 23/100 (10%).",
    "social_traffic_detail": "Moderate social traffic at 6% of total visits (~305,048 visits).",
    "engagement_quality_score": 95,
    "geo_concentration_detail": "Moderately concentrated traffic: IN (37%), US (17%), PK (3%).",
    "referral_strength_detail": "Moderate referral strength at 6% of traffic (~290,046 visits).",
    "search_dependency_detail": "Low search dependency at 32% of total traffic.",
    "engagement_quality_detail": "High engagement (95/100) with 30% bounce rate, 9 pages per visit, and 367-second average duration."
  }
}

curl https://signals.autobound.ai/v1/signals/5c71f807-009a-4002-a63f-3dc25c98a539 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"mongodb.com","limit":20}'