AI Answer Scraping API for GEO Data

Collect consumer AI answers from ChatGPT, Gemini, Perplexity, Google, Meta AI, Qwen, Doubao and Naver through one async API, with source citations and market settings.

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Observe the consumer search experience

querying.ai collects each engine's consumer answer with its sources, timing and surface-specific extras.

One submission contract, surface-specific responses

Submit taskType and payload to POST /v1/async/task to receive an ID. Collect the result by webhook or polling. Search queries, Google search result objects and Copilot product cards have their own fields, documented in each engine reference.

Repeatable market comparisons

Set payload.country to a market supported by the engine and write the prompt in the desired language. Doubao always collects from mainland China. Retain the engine’s country support and collection time, then repeat a fixed prompt set.

Requests, costs and failure handling

Public answer engines cost 1-1.25 credits per completed task. Plans include monthly credits and concurrency limits; only completed tasks are charged. Each Google result records whether an AI Overview appeared.

Compare citations across AI search engines

Submit the same earbud recommendation prompt to ChatGPT, Gemini and Perplexity, then include Qwen for Chinese market research. Store prose, citations and shopping cards separately to compare which products each engine recommends.

Store the answer with its taskType, prompt, country and collection time.
Group source URLs by domain while counting AI citations separately from organic results.
Use Monitors for recurring brand tracking and Citation Analysis to diagnose one answer for your brand and get prioritized actions.

Your first request

Start with GEMINI to verify your integration, then apply the input fields and response schema for each engine.

JSON

{
  "taskType": "GEMINI",
  "payload": {
    "prompt": "best wireless earbuds for commuting",
    "country": "US"
  }
}

Built for these teams

querying.ai gives teams that study AI search one structured data source.

GEO & AEO Monitoring

Track how AI search surfaces mention your brand, products, and competitors across engines, countries, and prompts.

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Competitive Intelligence

See what AI engines recommend in your market: which brands get cited and which products surface.

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Agency Dashboards

Monitor dozens of clients across engines and regions simultaneously with batch APIs and webhooks.

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Research & Analysis

Study AI search behavior across markets with structured data for academic research, content strategy, and SEO.

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All use cases →

Guides

Same question, 36 spots: how far AI local recommendations moveWe asked ChatGPT and Gemini 15 “near me” questions from 36 spots in New York, Seoul, Austin and Tokyo, twice. Answers 3 km apart shared 4.9% of their places on ChatGPT and 15.1% on Gemini.Which websites do AI answers cite? 479 answers from ChatGPT, Gemini, Perplexity and NaverWe read every source in 479 AI answers to the same 136 buying questions in Korea and the US. 88% of the websites cited for a question appeared on one engine only, Perplexity cited Reddit in 34% of US answers and Naver AI Tab cited Naver Blog in 97%.What is query fan-out? The searches ChatGPT, Perplexity and Copilot run before they answerQuery fan-out is the set of web searches an AI assistant runs to answer one question. Real fan-out queries from ChatGPT and Copilot, what they add to a question, and how to collect them as GEO data.OpenAI API web search pricing: one ChatGPT answer costs $0.058, measuredWe sent 10 shopping questions to the OpenAI Responses API with the web_search tool. One answer averaged $0.0579, and the search results the model reads cost more than the search call. The full bill, and what the same answer costs on querying.ai.What is GEO? Generative engine optimization, explained with real AI answersGEO gets your brand named and cited in ChatGPT, Gemini, Perplexity and Google AI answers. How engines pick brands, how GEO relates to SEO and how to measure it.Which brands do AI assistants recommend? AI Index, September 2026We asked ChatGPT, Gemini, Perplexity and Naver AI Tab 136 buying questions in Korea and the US. 82% of the 479 answers named a brand. Here is who they named.How to track your brand's visibility in ChatGPT and other AI answersMeasure how often ChatGPT, Gemini, Perplexity and Google AI name and cite your brand: the questions to ask, the engines and markets, the metrics and the API calls.Local GEO: how ChatGPT and Google AI answers change by neighborhoodWe asked ChatGPT for an orthopedic clinic near three Seoul stations and three New York neighborhoods, and every place got its own clinics. How to measure local AI visibility, place by place.

Explore related capabilities

Start with 500 free credits

Run your first task in the Playground, or call the API with your key.

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