How to Track Your Brand in Google AI Mode

Rank tracking without ranks

Run those four checks across a fixed set of prompts, daily, per market, and you have rank tracking for AI search. Here is how to build it.

The tracker

Thirty lines, no framework. One function fetches the answer, one flattens the typed parts into text, one computes the mention and citation signals.

Python

# ai_mode_tracker.py
import json
import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://api.openwebninja.com/google-ai-mode"

def ai_mode(prompt, gl="us", hl="en"):
    r = requests.get(
        f"{BASE}/ai-mode",
        headers={"x-api-key": API_KEY},
        params={"prompt": prompt, "gl": gl, "hl": hl},
        timeout=90,
    )
    r.raise_for_status()
    return r.json()["data"]

def part_text(part):
    if part["type"] in ("heading", "paragraph"):
        return part.get("text", "")
    if part["type"] == "list":
        return " ".join(f"{i.get('title', '')} {i.get('text', '')}" for i in part["list"])
    return ""

def visibility(prompt, brand, domain):
    data = ai_mode(prompt)
    answer = " ".join(part_text(p) for p in data["reply_parts"]).lower()
    refs = data.get("reference_links", [])
    cited_at = next(
        (i + 1 for i, ref in enumerate(refs) if domain in ref["link"]),
        None,
    )
    return {
        "prompt": prompt,
        "mentioned": brand.lower() in answer,
        "cited_at": cited_at,
        "total_citations": len(refs),
    }

print(json.dumps(visibility("best crm for small business", "HubSpot", "hubspot.com")))

Output

{"prompt": "best crm for small business", "mentioned": true, "cited_at": 2, "total_citations": 16}

HubSpot is named in the answer and cited second out of 16 references. That row, stored daily with a date, is your time series.

What it costs