Cloro.dev — The SEO & AI SEO Scraper (Review Video Script)

For twenty years, SEO meant one thing: where do you rank on Google? But that's not the whole game anymore.

Today, millions of people don't search Google at all. They ask ChatGPT. They ask Perplexity. They ask Gemini and Copilot. And those tools give one answer — they either mention your brand, or they don't.

So here's the uncomfortable question: do you actually know what ChatGPT says about your company right now? About your product? About your competitors?

Most businesses have no idea. And you can't optimize what you can't see. That's the exact problem Cloro.dev solves — it's an API that pulls the real answers out of ChatGPT, Perplexity, Gemini, Google AI Overviews, and regular search, so you can actually track them.

Today I'm doing a full review. What it is, how it works, what it costs, and how to send your first request. Let's get into it.

So what exactly is Cloro? In one line: it's a scraper API for SEO and AI SEO.

You send it a prompt or a search query through a single API. It goes to the actual AI tool — the real ChatGPT interface, the real Perplexity, the real Gemini — runs your query, and hands you back the response as clean, structured data.

The key word there is real user interface. Cloro doesn't give you what a developer API returns. It gives you what an actual person sees when they type that question into ChatGPT. And as we'll see in a minute, those two things are very different.

This isn't a tiny side project either. Cloro is used by SEO and AI SEO companies, it advertises 99.99% uptime, and it handles over 500 million API calls a month. It's rated 4.6 on G2. So it's built for serious, high-volume monitoring.

You might be thinking — why not just call the official ChatGPT or Gemini API directly? Good question. Here's why that doesn't work for SEO monitoring.

• The UI is not the API. The answer ChatGPT shows a real user is different from what the developer API returns — different content, different formatting, different sources. SEO tools like Surfer have shown this with data. If you want to track what users actually see, you have to capture the interface.
• No sources or citations. The direct provider APIs don't reliably give you the source links and citations — and citations are the whole point of AI SEO. You need to know which pages the model cited to influence them.
• Too many integrations. ChatGPT, Perplexity, Gemini, Copilot — each has its own separate API, its own auth, its own format. That's a lot of technical overhead just to monitor a handful of tools.
• Unpredictable cost. Token-based pricing changes by model and provider, so your bill is a moving target.

Cloro collapses all of that into one API, one format, and one predictable credit-based price.

So which sources can Cloro actually pull from? It covers the main SEO and AI SEO providers, and they're all live.

• The AI assistants — ChatGPT, Perplexity, Microsoft Copilot, Google Gemini, and Grok. These are the tools people now ask instead of searching.
• Google's AI surfaces — AI Overview, the answer box that sits above the results, and AI Mode, Google's full conversational search.
• Classic search — regular Google Search and Google News, with organic results, ads, People Also Ask, and related searches.

And it's one consistent API across all of them. You don't learn nine different integrations — you learn one, and just change the endpoint. Every request also takes a country code, so you can run the same query as if you were a user in the US, Germany, India, anywhere — which matters a lot, because AI answers change by region.

This is where Cloro gets genuinely interesting. It doesn't just dump text at you — it parses the response into structured pieces you can actually act on.

• The answer itself — as clean markdown, plain text, or raw HTML. Your choice, set with a simple flag.
• Sources and citations — every link the model referenced, with URLs, labels, and even publication dates. This is the gold for AI SEO — it tells you exactly which pages to target.
• Query fan-out — the hidden searches a tool like ChatGPT runs behind the scenes to build its answer. If you know the queries it fans out to, you know what to optimize for.
• Shopping cards and inline products — for commercial queries, the actual product cards, with names, prices, ratings, and offers. Huge for e-commerce tracking.
• Entities and map entries — the brands, products, and concepts named in the answer, plus local business listings with ratings and contact details.

Everything comes back as structured JSON, ready to drop into your own dashboard or database. Cloro handles all the messy automation and parsing — you just get the clean result.

Let me show you how easy it is to actually try this. Cloro has a Playground that gets you from zero to your first real API request in three steps — no code editor needed.

• Step 1Create and copy an API key. You authenticate every request with this key, and it grants access to your organization's credits — so keep it private. Once you paste it into the docs' "Try It" panel, your browser usually remembers it, so you won't have to copy it again for later requests.
• Step 2Open an endpoint in the API reference. Pick the one you want to test — ChatGPT, Copilot, Perplexity, Grok, Gemini, Google Search, Google News, AI Mode, or AI Overview. Each link opens the full reference on docs.cloro.dev in a new tab.
• Step 3Send a request with "Try It." On the endpoint page, find the Try It panel on the right. Paste your API key into the Authorization field, fill the request body with a sample query, and click Send.

The response appears right below the panel — the full, end-to-end call against your real account. And the new request shows up in your Logs shortly after, so you can confirm it ran and see exactly what it cost.

That's the whole onboarding. You get 500 free credits to start, with no credit card required, so you can run this a few times before you ever pay anything.

Once you move from the Playground into real code, the request stays just as simple. Here's what a ChatGPT call looks like:

Three things in the body: your prompt, a country for the region, and an include block where you turn on the extras — markdown, HTML, sources, query fan-out, shopping cards.

Cloro has official examples in Python, JavaScript, and cURL, so it drops into whatever stack you already use. And because the ChatGPT endpoint runs with web search switched on automatically, the answers include current information with real citations.

A request typically completes in about 30 to 45 seconds — Cloro is doing real browser automation behind the scenes, so it's not instant, but it's clean. And it auto-retries failed attempts, up to ten times, to keep the success rate high.

A few things worth knowing before you scale up.

• Sync vs async. A sync request keeps the connection open and waits for the answer. An async request submits the job and sends the result to a webhook when it's done. For high-volume scraping, async is the way — and it's also cheaper, because sync requests add a small credit surcharge.
• Concurrency. Each plan has a limit on how many jobs run at once. Go over it and you get a 429 error — so you either queue requests on your side or use the async endpoint.
• Regions. Cloro supports countries worldwide. Just note a few models, like Gemini, have regional restrictions — so check availability for the exact model and region you need.
• Credits only on success. This is a nice one — credits are deducted only when Cloro successfully delivers data. Failed extractions and system errors don't cost you anything.

Together, that's what makes it usable for monitoring at scale — not just one-off lookups.

Let me make this concrete with a real-world use case, because this is where Cloro really clicks.

Say you run an SEO agency, or you're building an AI SEO tool. Your customers all want the same thing now — they want to know how their brand shows up on AI search and on classic search. Are they mentioned in ChatGPT? In Perplexity? In Google's AI Overview? Are their competitors?

With Cloro, you don't build any of that yourself. You take the API, integrate it into your own dashboard or application, and your customers get brand monitoring across every AI tool and classic search — right inside your product, under your branding.

Now think about what it would take to build that from scratch. You'd need a scraping environment for each provider — ChatGPT, Perplexity, Gemini, Copilot, Google. And every one of them is different: different page structure, different anti-bot defenses, different rendering. You'd need proxies, browser automation, parsers, retries, and constant maintenance every time a provider changes their interface.

That kind of setup easily runs into thousands of dollars in engineering time — and it still fails. The moment ChatGPT tweaks its UI, your scraper breaks, and your customers see stale data.

Cloro absorbs all of that. One integration, one API, and the maintenance burden is theirs, not yours. You ship a brand-monitoring feature in days instead of building a scraping team for months. For an agency or a tool, that's the difference between launching this quarter and not launching at all.

Let's talk money. Cloro runs on credits, and every request costs a number of credits depending on the provider.

Roughly: Google Search and News are 3 credits, Perplexity is 3, Gemini and AI Mode are 4, Grok is 4, Copilot and AI Overview are 5, and ChatGPT is 5 to 7 depending on whether you pull the query fan-out. A sync request adds 2 credits, and extra search result pages cost a bit more.

The monthly plans are volume-based — and the more credits you buy, the cheaper each one gets.

• Hobby — $100/month. 250,000 credits, 10 concurrent jobs, email support.
• Starter — $250/month. About 694,000 credits, 25 concurrent jobs.
• Growth — $500/month. Around 1.56 million credits, 50 concurrent jobs, priority support. This is the "most popular" tier.
• Business — $1,000/month. Roughly 3.3 million credits, 100 concurrent jobs.
• Enterprise — $1,500 and up. Volume discounts, larger concurrency, and Slack support.

Two honest notes. First, there's no cheap entry plan — it starts at $100 a month, because Cloro deliberately sets a minimum tier so every customer gets real support. Second, credits do not roll over — unused credits expire at the end of each billing cycle. So size your plan to your actual monthly volume. You do get 500 free credits to test first, with no card.

Time for the honest pros and cons.

• On the plus side, it captures the real UI answer, not the developer API — which is the whole point. One unified API across nine sources. Rich structured data: sources, citations, query fan-out, shopping cards. Global regions, 99.99% uptime, auto-retries, and you only pay for successful extractions. The 500 free credits make it genuinely risk-free to try.
• On the downside, there's no cheap plan — $100 a month is the floor, which prices out hobbyists and very small sites. Credits don't roll over. Responses take 30 to 45 seconds, so it's monitoring, not real-time. And there are no refunds — though that's exactly what the free credits are for.

So it's clearly built for businesses and agencies serious about AI SEO — not for someone tracking a single keyword.

So — final verdict. Is Cloro worth it?

If you do SEO seriously — an agency, an in-house team, an AI SEO tool — then yes. Search is splitting into two worlds: classic Google, and AI answers. You need visibility into both, and Cloro is one of the cleanest ways to get the AI half. One API, real UI responses, sources and citations parsed out for you. 9 out of 10.

If you're a hobbyist or a tiny site, the $100 floor probably puts it out of reach for now — and that's fair, it's not built for that.

But either way — go grab the 500 free credits, no card needed, and run a query about your own brand. I think what ChatGPT says about you will surprise you. The link is in the description.

If this helped, drop a like, and tell me in the comments which AI tool you'd check first. See you in the next one.