# Google AI Overview checker: which keywords cite your site **Use case:** 20 personal-finance keywords on Google AI Overviews in the United States, one row each: the overview's whole text, every page it cites, the organic results beside it, and whether nerdwallet.com is among the cited pages (brand_cited, with the URLs). A keyword Google shows no overview for is a free no_answer row that keeps the organic results. Put your brand and domain in brand and brandDomain. ## Input ```json { "queries": [ "is a roth ira worth it", "how to build credit fast", "best high yield savings accounts", "how much house can i afford", "what is a good credit score", "how to pay off credit card debt", "should i pay off my mortgage early", "how does a 401k work", "what is an index fund", "how to start investing with little money", "how to save for retirement", "is whole life insurance worth it", "how to get a personal loan", "what is apr on a credit card", "how to file taxes for free", "how to improve my credit score", "cd vs high yield savings account", "how much emergency fund should i have", "best balance transfer credit cards", "how to refinance student loans" ], "queriesText": "", "engines": [ "google_ai_overview" ], "country": "US", "language": "en", "readMode": "auto", "repeats": 1, "brand": "NerdWallet", "brandAliases": [], "brandDomain": "nerdwallet.com", "competitors": [], "competitorDomains": [], "brandSentiment": false, "forceWebSearch": false, "apiWebSearch": true, "chatgptApiModel": "gpt-4.1-mini", "geminiApiModel": "gemini-3.5-flash-lite", "claudeApiModel": "claude-haiku-4-5-20251001", "perplexityModel": "sonar", "maxItems": 0 } ``` ## Output ```json { "row_type": { "label": "Row type", "format": "string" }, "query": { "label": "Query", "format": "string" }, "engine": { "label": "Engine", "format": "string" }, "engine_label": { "label": "Engine name", "format": "string" }, "route": { "label": "Route", "format": "string" }, "read_mode": { "label": "Read mode", "format": "string" }, "repeat": { "label": "Repeat", "format": "integer" }, "reads_in_run": { "label": "Reads in run", "format": "integer" }, "status": { "label": "Status", "format": "string" }, "status_detail": { "label": "Status detail", "format": "string" }, "charged": { "label": "Charged", "format": "boolean" }, "scraped_at": { "label": "Scraped at", "format": "string" }, "answered_at": { "label": "Answered at", "format": "string" }, "country": { "label": "Country", "format": "string" }, "location_code": { "label": "Location code", "format": "integer" }, "language_code": { "label": "Language", "format": "string" }, "task_id": { "label": "Task id", "format": "string" }, "model": { "label": "Model", "format": "string" }, "web_search": { "label": "Web search", "format": "boolean" }, "check_url": { "label": "Check URL", "format": "string" }, "answer_markdown": { "label": "Answer (Markdown)", "format": "string" }, "answer_chars": { "label": "Answer chars", "format": "integer" }, "item_types": { "label": "Item types", "format": "array" }, "answer_sections": { "label": "Answer sections", "format": "array" }, "sources": { "label": "Sources", "format": "array" }, "sources_count": { "label": "Sources count", "format": "integer" }, "cited_domains": { "label": "Cited domains", "format": "array" }, "search_results": { "label": "Search results", "format": "array" }, "search_results_count": { "label": "Search results count", "format": "integer" }, "fan_out_queries": { "label": "Fan-out queries", "format": "array" }, "organic_results": { "label": "Organic results", "format": "array" }, "ai_overview_async": { "label": "AI Overview loaded async", "format": "boolean" }, "products": { "label": "Products", "format": "array" }, "local_results": { "label": "Local results", "format": "array" }, "images_count": { "label": "Images count", "format": "integer" }, "ads_in_answer": { "label": "Ads in answer", "format": "array" }, "answer_links": { "label": "Answer links", "format": "array" }, "brand": { "label": "Brand", "format": "string" }, "brand_mentioned": { "label": "Brand mentioned", "format": "boolean" }, "brand_mention_count": { "label": "Brand mentions", "format": "integer" }, "brand_position": { "label": "Brand position", "format": "integer" }, "brand_cited": { "label": "Brand cited", "format": "boolean" }, "brand_cited_urls": { "label": "Brand cited URLs", "format": "array" }, "brands_named": { "label": "Brands named", "format": "array" }, "brands_named_source": { "label": "Brands named source", "format": "string" }, "competitors_named": { "label": "Competitors named", "format": "array" }, "competitors_cited": { "label": "Competitors cited", "format": "array" }, "share_of_voice": { "label": "Share of voice", "format": "number" }, "brand_sentiment": { "label": "Brand sentiment", "format": "number" }, "brand_sentiment_label": { "label": "Sentiment label", "format": "string" }, "brand_recommended": { "label": "Brand recommended", "format": "string" }, "brand_sentiment_confidence": { "label": "Sentiment confidence", "format": "number" }, "input_tokens": { "label": "Input tokens", "format": "integer" }, "output_tokens": { "label": "Output tokens", "format": "integer" } } ``` ## How it works ### 1. Sign up on Apify or log in The ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview Actor is ready to run with the inputs already set for "Google AI Overview checker: which keywords cite your site". [Sign up or log in](https://console.apify.com/create-task-from-example/FgWNqAsn9cR6YxNWZ) and you'll land in Apify Console with a copy of this exact task. ### 2. Start the "Google AI Overview checker: which keywords cite your site" task The ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview Actor will start running based on the input automatically. You can also change all the input fields, like queries (prompts), engines, and more, to match your specific use case. ### 3. Receive the "Google AI Overview checker: which keywords cite your site" output Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, query, engine, and more. ### 4. Integrate into your workflow The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Google AI Overview checker: which keywords cite your site" task via API](https://apify.com/hyperbach/ai-search-answers.md). ## About this Actor This example demonstrates how to use [ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview](https://apify.com/hyperbach/ai-search-answers.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/ai-search-answers.md) to learn more, explore other use cases, and run it yourself. ## How to integrate an Actor? This Task's input is already configured above. Use it as-is rather than inventing a new one. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hyperbach/ai-search-answers.md Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).