Information Density: cloro – Signal Evidence & AI Readability

cloro

(https://cloro.dev) 📸 Data Snapshot: May 26, 2026
Information Density — The Lens

Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.

Info Density Power-words vs. Substance ratio.
26 Impact Weight: 30 / 100
87% Reputation

The information density is exceptionally high, prioritizing technical documentation over marketing fluff. Body substance is dense with specific technical nouns such as ISO-3166 codes, uule parameters, and JSON field names like citationPills and shoppingCards. While some headings like ‘Pricing that scales with you’ are generic, they are immediately followed by granular data including exact credit costs ($0.40 per 1,000) and response latencies (22.1s).

Information Density is read straight from the body copy: how much of the text carries grounded, checkable substance versus hollow filler. Below is the clean text the engine analyzed, then the industry’s known generic-claim patterns to weigh it against.

📝 The Narrative — clean text per page (the substance-vs-filler signal)
HOMEPAGE · THIN (https://cloro.dev) cloro – the best scraper for SEO and AI SEO
[H1] The scraper for SEO and AI SEO
Get the real
user interface
responses from
AI Overview
AI Mode
Search
with any scale and format you need.
4.6 · 21 reviews
[IMG: G2.com software review platform logo]
Try 500 credits for freeNo credit card required. AI models API example Live
[H2]
Example Request
POST curl -X POST https://api.cloro.dev/v1/monitor/chatgpt \\
-H "Authorization: Bearer sk_live_your_api_key_here" \\
-H "Content-Type: application/json" \\
-d '{
"prompt": "What do you know about Tesla's latest updates?",
"country": "US",
"include": {
"markdown": true
}
}'
[H2]
Response
22.1s {
"success": true,
"result": {
"text": "...",
"sources": [],
"html": "...",
"markdown": "...",
"searchQueries": [],
"shoppingCards": [],
"entities": []
}
}
777 chars
SUB-PAGE (https://cloro.dev/serp-api/) SERP API — Real Google Results in JSON (2026) | cloro
[H2] SERP API, answered
Why not just use Google's Custom Search JSON API for SERP scraping?+Custom Search returns organic results from a curated index, not the full Google SERP a real user sees. No sponsored ads, no AI Overview, no People Also Ask, no related searches, no knowledge graph. It's also rate-limited to 100 free daily queries with paid extension capped at 10k/day. cloro's SERP API returns the rendered google.com surface with no daily caps.Does cloro return the full ad block, or just organic?+Full ad block, both top and bottom. Each ad entry includes `position`, `blockPosition` (`top` or `bottom`), `title`, `url`, `domain`, `description`, and `sitelinks`. Useful for competitive intelligence: you can measure when competitors run ads on your branded queries and which sitelinks they bid on.Can I include AI Overview in the same SERP call?+Yes. Pass `include.aioverview: { markdown: true }` in the request and the response adds a `result.aioverview` block with text, markdown, parsed sources, inline videos, and any injected ads. Costs +2 credits per request. There's also `include.paaAioverview` (+2 credits) to hydrate PAA entries with their AI Overview content.Can I sample mobile and desktop SERPs separately?+Yes. Pass `device: "mobile"` or `"desktop"`. Mobile SERP often shows a different ad block layout, more aggressive PAA expansion, and different organic ordering. For global e-commerce or local-services brands, sampling both is essential.How fine-grained is the geo targeting?+Country-level via `country` (any ISO-3166 code), or city-level via `location` (Google's canonical location name, e.g. `"New York,New York,United States"`) or pre-encoded `uule`. Local-pack and ad placements diverge sharply by city, so country-only sampling will miss most of the local-search reality.How does pagination work, and how deep should I go?+Pass `pages: N` (1–10) to fetch up to N SERP pages in a single call. Each result entry carries its own `page` field. For brand-monitoring or rank-tracking, page 1 covers ~95% of meaningful position changes; pages 2–3 are useful for thin-content competition tracking. Beyond page 3, click-through drops below 1% (diminishing returns).What does in-house Google SERP scraping cost?+Google's anti-automation is the hardest sustained engineering problem on the public web. Realistic in-house costs at production volume run $5–10k/month on residential proxies and browser farms before engineer time, with a fragile success rate. cloro charges per-call from $0.40 per 1,000, so a team running 1M SERP calls/month pays under $400 with no maintenance overhead.How does cloro's SERP API price compare to other vendors?+See our detailed cheapest SERP API in 2026 breakdown — true cost-per-call across cloro, TrajectData, Serper, DataForSEO, and SerpApi, with the hidden fees (AI Overview surcharges, n=100 pagination, monthly minimums) that flip the published rankings.
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SUB-PAGE · THIN (https://cloro.dev/cdn-cgi/l/email-protection/) 404 Not Found
[H1] 404 Not Found

cloudflare
31 chars
SUB-PAGE (https://cloro.dev/chatgpt/) ChatGPT Scraper API — Web UI Citations + Sources | cloro
[H2] ChatGPT scraping, answered
Why not just call the OpenAI API directly to monitor ChatGPT mentions?+Because the OpenAI API and ChatGPT-the-product are different surfaces. The API returns model output without the web search results, source citations, shopping cards, or entity panels that determine whether your brand actually shows up to users. cloro extracts what ChatGPT users see, not what the model would say in isolation.How fresh are the ChatGPT responses cloro returns?+Each request runs against ChatGPT live. Typical response time is 30–45 seconds. There is no caching layer between you and the model, so the citations you see are the citations a real user would see at that moment.Can I track how my brand gets cited in ChatGPT across countries?+Yes. Pass `country` (any ISO-3166 code) and cloro routes the request through that locale. Citation distributions shift meaningfully between US, EU, and APAC for the same prompt, so country-level monitoring is the only way to see regional brand-visibility gaps.What rich-result fields does ChatGPT actually return beyond text?+Quite a lot: `shoppingCards` (grouped products with offers), `inlineProducts` (individual product refs with render hints), `entities` (brands and products), `map` (business/place data with ratings and contact info), `ads` (advertiser branding cards), `citationPills` (inline citation metadata), plus the full `searchQueries` query fan-out (returned on every request across both current models). All extracted from the rendered ChatGPT UI; none available through any OpenAI endpoint. Each returns as structured JSON in `result`.How do I run high-volume ChatGPT monitoring without hitting concurrency limits?+Use the async endpoint (`POST /v1/monitor/chatgpt/async`). Submit the task and receive results via webhook. This avoids holding open connections and is the right pattern for thousands of prompts per day. Your concurrency limit on the sync endpoint depends on your plan.What does query fan-out give me that a single prompt won't?+ChatGPT often issues multiple internal search queries to answer a single user prompt. The `searchQueries` array exposes those, so when you ask 'best CRM for startups' you also see the underlying queries ChatGPT ran ('crm comparison 2026', 'startup crm pricing'), which are the keywords your content must rank for to be cited.How is the ChatGPT model routed per request?+Each `result` payload includes `model`, currently either `"gpt-5-3"` or `"gpt-5-3-mini"` depending on which variant ChatGPT served the prompt. Both models behave consistently for monitoring purposes: full source citations, `searchQueries` fan-out, shopping cards, entities, and the rest of the UI surface come back regardless of which one routes.How does cloro pricing compare to running this in-house?+Direct scraping requires rotating residential proxies, headless browser farms, and a maintenance team to chase ChatGPT's anti-automation updates. Most teams spend $3–8k/month on infra alone before the engineer time. cloro starts at $100/month with 250k requests included and zero infra to run.
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🧭 Industry Context — common generic-claim patterns in Marketing, SEO & Advertising Agencies to weigh the text against
Generic Claims: we grow businesses, results that speak for themselves, your marketing partner, proven track record, trusted by leading brands, we increase your revenue…
Red Flags: guaranteed rankings or specific position promises, case studies with no client names or metrics, proprietary tools that are rebranded free tools, results claims without timeframes or baselines, partner badges without verifiable partner directory listing, every service offered by a small team with no specialists…
Semantic Drift Patterns: homepage claims data-driven but case studies show no metrics, claims full-service but team is three people, homepage targets enterprise but case studies are local businesses, claims proprietary methodology but describes standard practices, ROI focus on homepage but portfolio shows vanity metrics only…
Proof Expectations: named client case studies with before-and-after metrics, specific revenue or traffic numbers achieved, verified vendor partnerships with tier levels, team member profiles with specific expertise and career history, portfolio with named clients and campaign details, third-party ratings on Clutch, G2, or Google…