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cloro

Cloro extracts structured data, sources, citations, and shopping cards from ChatGPT, Perplexity, Grok, Gemini, and Google Search via one API. Covers 50+ countries for SEO monitoring and brand tracking.

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Summary

Cloro is an API-driven SEO and AI SEO data extraction platform that retrieves structured responses, source citations, and shopping cards from major AI models (ChatGPT, Perplexity, Grok, Gemini, Copilot) and search engines across 50+ countries. Solves the opaque costs, technical overhead, and lack of SEO tools (sources, citations) when integrating multiple LLM APIs directly.

What is Cloro?

Cloro is a unified API for extracting structured data from AI models and search engines. Query ChatGPT, Perplexity, Grok, Gemini, Copilot, AI Overview, and Google Search through a single endpoint and receive parsed Markdown, HTML, text, source citations, search queries, shopping cards, and entity data. Supports multi-region requests, credit-based pricing, and asynchronous processing. Built for SEO monitoring, brand tracking, and competitor analysis. Handles 300M+ API calls monthly.

Core Capabilities

  • Unified API: Single endpoint for ChatGPT, Perplexity, Grok, Gemini, Copilot, AI Overview, Google Search
  • Structured data parsing: Auto-extracts sources, citations, shopping cards, entities, search queries
  • Multi-region support: Requests across 50+ countries
  • Multi-format output: Markdown, HTML, plain text
  • Credit-based pricing: 3–7 credits/request per provider; overages billed next cycle
  • Asynchronous requests: Supports large-scale concurrency (10–100+ jobs depending on plan)

Pros

  • Single API replaces multiple LLM and search engine integrations, reducing technical overhead
  • Provides SEO-critical data (sources, citations, shopping cards) unavailable in direct APIs
  • Transparent credit pricing with fixed costs per provider (3–7 credits/request)
  • Supports geo-localized requests across 50+ countries
  • Proven scalability with 300M+ monthly calls

Cons

  • Relies on third-party API; no direct control over underlying models
  • Credit-based pricing may be less cost-effective for low-frequency users than pay-per-use
  • Documentation lacks clarity on timeout handling mechanisms
  • Limited to mainstream models; niche or custom models require separate integration
  • Enterprise pricing requires sales contact; lacks public transparency

Decision Guidance

Use Cloro when: You need to monitor brand or competitor presence across multiple AI models and search engines, require source citation data for SEO optimization, want to avoid integrating multiple LLM APIs, or need large-scale concurrent requests (hundreds of thousands to millions monthly) for SEO teams or agencies.

Consider alternatives when: You only need a single model (e.g., ChatGPT) and already have direct API integration, require full control over model parameters or use custom models, have low-frequency usage and prefer pay-per-use over monthly subscriptions, or need real-time streaming responses instead of batch processing.

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cloro: Unified API to extract sources, citations & structured data from AI models and search engines – GTM Guide