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CrawlQ Studio
AI content governance for agencies. CrawlQ Studio scores AI-assisted content
For agents: CrawlQ Studio: AI content governance tool for agencies that scores AI-assisted content. Summary only; limited detail available.
ai content governancecontent scoringai-assisted contentagencies
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T06:39:08.903Z. Cached copy · Source on crawlq.ai
# CrawlQ Studio
> AI content governance for agencies. CrawlQ Studio scores AI-assisted content
> against each client's own brand documents, records a named reviewer's
> approval, and keeps a tamper-evident audit trail you can export. EU-hosted.
> Built by Quantamix Solutions B.V., Amsterdam.
Facts in this file mirror lib/claims-registry.ts in the site source.
Last reviewed: 2026-10-03.
## What CrawlQ Studio is
CrawlQ Studio is an EU-hosted workspace for producing AI-assisted content
under human review. Each client or brand gets its own workspace, built from
that client's foundation documents (brand guidelines, personas, positioning).
Every output is scored with the BRAND Score, and, where human review is
switched on for a workspace, a named reviewer approves it before release.
Approvals are recorded in a tamper-evident audit trail that can be exported
and checked against a public transparency log. CrawlQ does not make anyone
compliant with the EU AI Act; that is a determination for the customer's
counsel.
## Who it is for
1. Agencies producing AI-assisted content for clients, who need to show
each client that a named person reviewed the work.
2. In-house brand teams that want the same review record for their own
content.
## Core capabilities
- Client workspaces with Brand Memory: a knowledge graph built from the
documents you upload.
- Athena: research answers drawn from the workspace's own documents.
- Canvas: prebuilt and custom content workflows.
- BRAND Score: five dimensions — Brand Fidelity, Reasoning Depth, Audience
Alignment, Novelty & Differentiation, Deliverability — each 0-100. It is a
model-assisted evaluation against the workspace's documents, meant to guide
the reviewer, not a deterministic measurement.
- Human review: opt-in per workspace and off by default. When on, a named
reviewer approves each AI output and the decision is recorded.
- Tamper-evident audit trail: approval records are Merkle-chained, and a
fingerprint of each is anchored to the public Sigstore Rekor transparency
log. Only the fingerprint is public, never the content.
- Bring your own AI provider key (BYOK).
## EU AI Act Article 50
Article 50 has applied since 2 August 2026. Only the Article 50(2)
machine-readable marking duty has a grace period, to 2 December 2026, for
systems already on the market before 2 August 2026. Source: European
Commission, https://digital-strategy.ec.europa.eu/en/faqs/transparency-obligations-under-article-50-ai-act
Nothing here is legal advice.
## Pricing
Five monthly plans (USD): Spark $14.99, Solo $29, Studio Scale $99,
Growth $149, Agency $499. Annual billing is available at a discount, and
add-ons are sold separately. Every plan is paid.
Full details: https://www.crawlq.ai/pricing/
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| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
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| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=crawlq.ai · GET /v1/domain/crawlq.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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