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cloro Review

cloro provides an API for scraping SEO data and content from AI SEO models, extracting information from ChatGPT, Gemini, Perplexity, Copilot, AI Overview, and Google Search.

shipped Aug 23, 2026apifreemium
Domain rating47Monthly visits315/moAI-readablestrong
apiscrapingseo
cloro — product screenshot

Why it matters

1Offers a freemium pricing model with a free tier and 500 free credits.
2Provides a unified API for scraping structured data from 9+ AI platforms and search engines.
3Supports integrations with Python, JavaScript, n8n, Zapier, and LangChain.
4API rate limits are set at 1,000 requests per second across all endpoints.

About cloro

Business Model
Subscription SaaS
Usage Pricing
$0.80 per 1k credits per credits
Free Credits
500 credits
Platforms
Web API
Target Audience
Developers and companies looking for AI search capabilities and visibility tracking.

Pricing Plans

Free
$0 / monthly
  • • 500 credits / month
  • • 1 concurrent job
  • • 1 seat
  • • Documentation assistant
Lite
$30/mo
  • • 37,500 credits
  • • $0.80 per 1k credits
  • • 10 concurrent jobs
  • • Unlimited seats
Hobby
$100/mo
  • • 250,000 credits
  • • $0.40 per 1k credits
  • • 20 concurrent jobs
  • • Unlimited seats
Starter
$250/mo
  • • 650,000 credits
  • • $0.39 per 1k credits
  • • 50 concurrent jobs
  • • Unlimited seats
Scale
$500+/mo
  • • More credits
  • • Volume discounts
  • • More concurrency
  • • Unlimited seats

Cost Examples

  • • 37,500 credits for $30
  • • 250,000 credits for $100
API DocsGitHub

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is cloro?

cloro is an AI monitoring platform and scraping API developed by cloro.dev that enables developers, AI SEO teams, and enterprise marketing teams to extract structured data from various AI platforms and search engines. It operates by running actual browser sessions against live user interfaces of platforms like ChatGPT, Perplexity (company), Microsoft Copilot (technology), Google Gemini (technology), Google AI Mode, Google AI Overview (other), Google Search (product), Google News, and Grok, returning full AI-generated responses with cited sources, URLs, and structured JSON. The platform is designed to provide data exactly as a human user would see it in the live UI, catering to needs such as AI search visibility tracking, competitive research, and content strategy.

features

Key Features of cloro

cloro offers a robust set of features designed for comprehensive AI and SEO data extraction. Its core functionality revolves around providing structured data from diverse AI models and search engines, ensuring developers and marketing teams have access to granular insights.

  • Supports multiple AI models including ChatGPT, Gemini (technology), Perplexity (company), Copilot (technology), AI Overview (other), and Google Search (product).
  • Delivers real-time structured JSON outputs, including markdown, sources, and citations from AI model responses.
  • Enables global and state-level targeting for localized data extraction.
  • Offers easy integration with various platforms and programming languages, including Python, JavaScript, n8n, Zapier, and LangChain.
  • Provides a hosted MCP (Multi-platform Content Protocol) server, exposing monitoring endpoints as agent tools for MCP clients like Claude and GitHub Copilot.
  • Includes Copilot Query Fan-out, detailing web search queries Copilot ran to generate its answers via result.searchQueries.
  • Emits structured citationPills arrays from Perplexity, Copilot, and Gemini endpoints for consistent cross-provider citation data.
  • Enhances Google AI Mode endpoint with structured data, including GPS-enriched location results with gps_coordinates, type, thumbnail, and position index.

use cases

Who Should Use cloro?

cloro is primarily designed for developers, AI SEO teams, content teams, SEO agencies, and enterprise marketing teams who require structured data from AI platforms and search engines for various analytical and strategic purposes. Its capabilities address specific needs in monitoring, research, and integration.

  • AI Search Visibility Tracking: For monitoring how AI engines mention and cite brands, calculating mention rate, share of voice, and identifying citation sources across AI platforms.
  • Rank Tracking & Competitor Analysis: For tracking organic positions, ads, People Also Ask, and AI Overview citations for keywords and competitors, delivered as parsed JSON.
  • News Monitoring & Brand Protection: For continuously monitoring brand coverage in Google News and AI answers for adverse media screening, brand protection, and threat intelligence.
  • Content Research: For identifying which sources AI platforms cite for specific queries to inform content strategy and content gap analysis.
  • Developer Integration: For developers needing a unified API to build AI search monitoring tools, eliminating the need to maintain separate integrations for each platform.

how to use

How to Use cloro

To begin using cloro, users typically sign up for an account on cloro.dev to access the API. The platform provides comprehensive API documentation for integration into existing systems.

  • 1Register for an account on cloro.dev to obtain API access.
  • 2Review the API documentation available at https://cloro.dev/docs/api-reference for endpoint details and request/response schemas.
  • 3Integrate the cloro API into applications using supported libraries for Python, JavaScript, or platforms like n8n, Zapier, and LangChain.
  • 4Send API requests to scrape data from specified AI models or search engines, targeting global or state-level results.
  • 5Process the returned structured JSON data, which includes markdown content, sources, citations, and other relevant metadata.
  • 6Monitor API usage and manage credits through the cloro dashboard.

pricing

cloro Pricing & Plans

cloro operates on a freemium model with several subscription tiers designed to accommodate varying usage levels, from individual developers to large enterprises. All plans are credit-based, with credits not rolling over at the end of the billing period. The base usage pricing is $0.80 per 1,000 credits.

  • Free: $0 per month, includes 500 free credits.
  • Lite: $30 per month, includes 37,500 credits.
  • Hobby: $100 per month, includes 250,000 credits.
  • Starter: $250 per month.
  • Scale: $500+ per month, for enterprise-level usage.

Pros

  • +Provides structured, UI-level data from 9+ AI platforms and search engines through a single API.
  • +Returns comprehensive data including full citations, source URLs, shopping blocks, and query fan-out, critical for AI SEO.
  • +Boasts 99.99% uptime with automatic retries (up to 10 per request) and no credit charge on failed extractions.
  • +Offers significant cost savings (up to 12x) compared to maintaining direct integrations with multiple individual platform APIs.
  • +Supports a wide range of integrations including Python, JavaScript, n8n, Zapier, and LangChain for flexible development.

Cons

  • −Average response times are 30-45 seconds per request, making it unsuitable for real-time applications.
  • −Credits do not roll over at the end of the billing period, requiring careful usage planning.
  • −Pricing for smaller-scale users might be perceived as high if usage is sporadic or minimal beyond the free tier.

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