Every "ChatGPT Citation Tracker" Costs $99-$499/Month. Here's the API That Does It for $1/1K.

#api #chatgpt #llm #python

If you searched "ChatGPT citation tracking API," you already know the frustrating truth about the current market.

Every tool that tracks whether ChatGPT cites your brand is priced for enterprise marketing teams. Profound starts at $499/month. Peec AI layers engines as €20-30 add-ons each. OtterlyAI bundles features you don't need into plans that start at $29/month and scale from there.

All of them are SaaS platforms. None of them give you raw API access at a price that makes sense for developers building their own tracking.

That gap is exactly what we built the Serpent ChatGPT Citation API for.

What "ChatGPT citation tracking" actually means

When someone asks ChatGPT a question — "what's the best SERP API?", "which rank tracker should I use?", "what tools do SEOs recommend?" — ChatGPT responds with a generated answer that may or may not cite specific brands and URLs.

Citation tracking means: running those prompts programmatically, capturing the response, identifying whether your brand or domain appears, and storing that data over time to track trends.

A page can rank first on Google and be completely absent from ChatGPT's answer to the same query. This is why traditional rank tracking is no longer enough. You need to know what the AI says, not just where Google puts you.

The problem with existing tools

AI citation tracking is now a $180M market growing 64% annually, as AI models become primary research tools. ChatGPT processes 10 billion queries monthly, with 78% including requests that could cite your brand or competitors.

But the existing tools are built for marketing teams who want a dashboard, not developers who want data.

Here is what you actually need for a citation tracker:

A way to query ChatGPT with a specific prompt
A structured response that tells you: was my brand mentioned? Was my URL cited? At what position?
Pricing that makes sense at scale (not per-seat SaaS pricing)

The Serpent ChatGPT Citation API

The Serpent AI Rank API sends a query to ChatGPT and returns structured citation data — brand mentions, cited URLs, response text, and a normalized visibility score from 0-100.

import requests

resp = requests.get(
    "https://apiserpent.com/api/ai-rank/chatgpt",
    params={
        "q": "best SERP API for developers",
        "brand": "apiserpent.com"
    },
    headers={"X-API-Key": "YOUR_KEY"}
)

data = resp.json()
print(f"Visibility score: {data['visibility_score']}/100")
print(f"Brand mentioned: {data['brand_mentioned']}")
print(f"Position in response: {data['position']}")
print(f"Cited URLs: {data['citations']}")

What you get back:

visibility_score — 0 to 100 normalised score
brand_mentioned — true/false
position — where in the response your brand appears
citations — list of URLs cited in the response
response_text — full ChatGPT response for context

💰 The Pricing Breakdown

Tool	Monthly Cost	What You Get
Profound	`$499+/month`	Dashboard, enterprise features
Peec AI	`$49+/month`	Dashboard with limited API (plus per-engine add-ons)
OtterlyAI	`$29-$149/month`	Multi-engine dashboard
Serpent ChatGPT Citation API	`$1/1K queries`	Raw API — scale as you go, build whatever you want

If you run 5,000 ChatGPT citation checks per month, your cost at Scale tier is $5. No dashboard markup. No per-seat fee. No features you don't use.

Who should use this vs a SaaS tool

Use the Serpent API if:

You're building your own citation tracking dashboard
You're an agency building citation monitoring into your own SEO platform
You need to track hundreds of brands across thousands of prompts
You want to combine citation data with other signals in a custom pipeline

Use a SaaS tool like OtterlyAI if:

You don't have development resources
You want a ready-made dashboard with visualisations
You track fewer than 50 prompts per week

Building a basic citation tracker in 30 lines

import requests
import sqlite3
from datetime import datetime

API_KEY = "YOUR_SERPENT_KEY"
BRAND = "yoursite.com"
PROMPTS = [
    "best SERP API for developers",
    "cheapest google search API",
    "rank tracking API comparison",
]

conn = sqlite3.connect("citations.db")
conn.execute("""CREATE TABLE IF NOT EXISTS citations
    (date TEXT, prompt TEXT, visibility_score INTEGER, 
     brand_mentioned BOOLEAN, position INTEGER)""")

for prompt in PROMPTS:
    resp = requests.get(
        "https://apiserpent.com/api/ai-rank/chatgpt",
        params={"q": prompt, "brand": BRAND},
        headers={"X-API-Key": API_KEY}
    ).json()

    conn.execute("INSERT INTO citations VALUES (?, ?, ?, ?, ?)", (
        datetime.now().isoformat(),
        prompt,
        resp.get("visibility_score", 0),
        resp.get("brand_mentioned", False),
        resp.get("position", -1)
    ))
    print(f"'{prompt}': Score {resp.get('visibility_score', 0)}/100")

conn.commit()
print("✓ Citation data stored")