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POST
https://searchcompany-main.up.railway.app
/
api
/
cron
/
store-visibility-score
curl -X POST https://searchcompany-main.up.railway.app/api/cron/store-visibility-score \
  -H "Content-Type: application/json" \
  -H "X-API-Key: search-company" \
  -d '{
    "business_id": "nike",
    "results": [
      {
        "prompt": "What are the best running shoes?",
        "chatgpt": true,
        "claude": true,
        "gemini": false,
        "perplexity": true,
        "copilot": false,
        "deepseek": true,
        "grok": false,
        "google_ai": true
      }
    ]
  }'

{
  "status": "success",
  "message": "Visibility score 48 stored for entity abc-123",
  "overall_score": 48,
  "prompts_analyzed": 10,
  "total_true": 38,
  "platform_scores": {
    "chatgpt_score": 52,
    "claude_score": 48,
    "gemini_score": 51,
    "perplexity_score": 45,
    "copilot_score": 49,
    "deepseek_score": 47,
    "grok_score": 46,
    "google_ai_score": 50
  }
}
Internal endpoint for the Cron service to store visibility results and calculate the overall visibility score. Called ONCE per entity after all sampled prompts have been checked.

​
What It Does

  1. Receives prompt results from Cron (10 sampled prompts per day)
  2. Calculates overall score: total_true / (num_prompts * 8) * 100
  3. Updates TWO database tables:
    • entity_prompts_tracker - Per-prompt visibility results
    • visibility_score_history - Single row per entity with recent_score and history_scores JSONB

​
Score Algorithm

raw_score = (total_true_values / (num_prompts * 8)) * 100
Where total_true_values is the count of True across all checks (e.g., 10 prompts × 8 platforms = 80 checks). Example: If 40 out of 80 are True → raw_score = 50

​
Floor Protection

The score cannot regress below the historical minimum (ignoring 0s): 
non_zero_scores = [s for s in historical_scores if s > 0]
min_historical = min(non_zero_scores)

if raw_score <= min_historical:
    final_score = min_historical + 1
else:
    final_score = raw_score
This ensures the visibility score trends upward over time and doesn’t regress due to temporary API failures or platform changes.

​
Request Body

​
business_id
string
required
Business identifier (org_slug)
​
product_id
string
Optional product/item ID
​
results
array
required
Array of prompt results. Each item contains:
  • prompt (string): The prompt text
  • chatgpt (boolean): Visibility on ChatGPT
  • claude (boolean): Visibility on Claude
  • gemini (boolean): Visibility on Gemini
  • perplexity (boolean): Visibility on Perplexity
  • copilot (boolean): Visibility on Copilot
  • deepseek (boolean): Visibility on DeepSeek
  • grok (boolean): Visibility on Grok
  • google_ai (boolean): Visibility on Google AI
​
backdate_to
string
Optional ISO date string (e.g., “2025-12-13”) to backdate the score entry

​
Response

​
status
string
"success" or "error"
​
overall_score
integer
Calculated visibility score (0-100)
​
prompts_analyzed
integer
Number of prompts processed
​
total_true
integer
Total number of True values across all platforms
​
platform_scores
object
Per-platform scores (0-100 each)
curl -X POST https://searchcompany-main.up.railway.app/api/cron/store-visibility-score \
  -H "Content-Type: application/json" \
  -H "X-API-Key: search-company" \
  -d '{
    "business_id": "nike",
    "results": [
      {
        "prompt": "What are the best running shoes?",
        "chatgpt": true,
        "claude": true,
        "gemini": false,
        "perplexity": true,
        "copilot": false,
        "deepseek": true,
        "grok": false,
        "google_ai": true
      }
    ]
  }'

{
  "status": "success",
  "message": "Visibility score 48 stored for entity abc-123",
  "overall_score": 48,
  "prompts_analyzed": 10,
  "total_true": 38,
  "platform_scores": {
    "chatgpt_score": 52,
    "claude_score": 48,
    "gemini_score": 51,
    "perplexity_score": 45,
    "copilot_score": 49,
    "deepseek_score": 47,
    "grok_score": 46,
    "google_ai_score": 50
  }
}

​
Database Updates

​
entity_prompts_tracker

Updates prompts with their visibility results across 8 platforms (pass/fail per platform).

​
visibility_score_history

UPSERT single row per entity:
  • Updates recent_score with latest score
  • Appends new entry to history_scores JSONB array
  • History format: [{"date": "2025-12-15", "score": 41, "platforms": {...}}]
  • Keeps last 365 days of history

​
History Seeding

On first score calculation, the system seeds 2 days of fake history:
  • Day -2: Score 0 (baseline)
  • Day -1: Score 35 (simulated signup day)
This provides visual context for the visibility chart.

​
Notes

  • Called by Cron ONCE per entity after sampled prompts are analyzed
  • Each platform uses native search + Gemini 3 Flash provides unified evaluation
  • JSONB history enables the “Visibility Over Time” chart on the dashboard
  • Single row per entity = faster queries
  • Floor protection ensures scores trend upward over time