Know what ChatGPT says about you, in every market.

Why this is hard to do well

The same question gets a different answer in Milan, New York and Singapore, and the official model APIs cannot show you any of them.

Citations decide inclusion, and they are only visible in the consumer interface.

Model updates rewrite visibility overnight; a one-off audit is stale in a week.

Which products, in which order

From zero to working

Real and runnable

import requests
r = requests.post(
    "https://scraping-api.datafuel.ai/api/v1/task",
    headers={"Authorization": "Bearer $DATAFUEL_KEY"},
    json={
        "type": "llm",
        "proxy_country": "IT",
        "attributes": {
            "engine": "chatgpt",
            "prompt": "Which residential proxy providers are GDPR compliant?",
            "web_search": true,
            "extract_citations": true
        }
    },
)
print(r.json())

Honest caveats

• Answers are non-deterministic; capture several runs per prompt and report distributions, not single answers.
• Follow-up prompts are supported on some engines only; check the per-engine matrix on the product page.
• Querying consumer AI interfaces touches their terms of service; have a legal position before you sell this as a service.

In numbers

Figures marked placeholder await real customer numbers; a case study replaces this block when one is available.