Citation risk, mimicry signals, disclosure coaching, and a tamper-evident creation receipt - inline inside ChatGPT, Claude, Gemini, and Perplexity. Built for content teams, AI-native writing agencies, and in-house growth squads.
Card required. Single user, 200 checks. Full feature access within cap.
A browser-side layer that watches the prompt and the response, then surfaces the four kinds of risk that actually get AI-assisted content creators in trouble today.
Every statistic, study name, court case, and URL in the AI's output is checked against Crossref, OpenAlex, Semantic Scholar, CourtListener, Wikidata, and live URL reachability. Likely-fabricated citations get a badge in the page; verified ones get a green check.
"We couldn't find this 2023 Gartner report in any public source. Verify with Gartner directly before publishing."
Flags passages that overlap too closely with the Phase 1 public-domain similarity corpus (Project Gutenberg + pre-1930 US works), brand and trademark strings via USPTO, and style-mimicry of living authors who have publicly opted out of AI training. These are risk signals, not infringement verdicts.
"This paragraph is ~82% similar to a passage in Book X (1921). Consider paraphrasing before publishing."
Answer three questions about where the content ships (YouTube, TikTok, Instagram, LinkedIn, own blog, sponsored ad, Amazon KDP, academic submission, EU audience yes/no, paid endorsement yes/no) and the coach outputs a concrete disclosure snippet plus a one-line "why this" tied to FTC 16 CFR Part 255, EU AI Act Article 50, platform policies, and US Copyright Office registration guidance.
"Paid endorsement + US audience: add '#ad - AI-assisted' per FTC Endorsement Guides."
Every session auto-records which AI tool(s) were used, rough AI-vs-human ratio, all citation checks and their results, all similarity matches, all disclosures recommended and applied, and any warnings the user overrode (with optional reason). Hash-chained, exportable, retrievable later if a piece of content is challenged.
Agencies attach it to the client deliverable. Marketing teams file it per piece. Enterprises route it to legal/compliance.
Phase 1 is focused. We designed, priced, and staffed around three team shapes where a single content incident creates real downside.
SaaS, DTC, and B2B teams of 6-12 writers and editors using ChatGPT Enterprise or Claude for blogs, landing pages, case studies, LinkedIn, and ad copy. Usually have in-house or fractional legal worried about AI output - and no tool that gives legal a receipt.
2-8 person shops producing client deliverables at volume with Claude and ChatGPT. Already paying for Grammarly Business, Originality.AI, and Copyleaks. One client legal problem can kill the agency - a receipt per deliverable is the point.
2-8 person content or growth teams at Series A-C startups. Heavy AI usage, no dedicated legal counsel, high outbound volume. One incident creates outsized brand damage. Decides in days, not quarters.
Simple per-seat pricing. Soft usage caps with in-app upgrade nudges - no surprise overage bills in v1.
Cancel anytime. Caps are soft, nudge-only - no per-check overage billing in v1.
This product does not provide legal advice. This product does not provide copyright clearance. This product does not provide compliance guarantees. LogionOS for Creators is a safety / risk signaling and workflow guidance product. Consult a qualified attorney for legal matters.
No. Nothing in any flag, precedent citation, disclosure suggestion, or receipt is legal advice. Every warning is a risk signal based on public sources. For any actual legal question, consult a qualified attorney.
No. We do not clear, license, or certify that any output is free from copyright infringement. The Phase 1 similarity corpus is public-domain-only (Project Gutenberg + pre-1930 US works) and is explicitly an initial risk-signaling corpus, not a clearance database.
FTC 16 CFR Part 255 (endorsements), EU AI Act Article 50 (applies from Aug 2026), YouTube altered-content disclosure, TikTok AIGC labels, Instagram / Meta "Made with AI" tags, LinkedIn generative-content guidance, Amazon KDP AI-content form, and US Copyright Office registration guidance. Phase 1 coverage; we add venues as platform policies evolve.
No. The product is a coach, not a cop. Warnings are surfaced inline and in the sidebar; every flag has a one-click "proceed + note reason" path. Overrides are logged in the receipt so your team has an audit trail of what was reviewed and why it shipped.
By default, prompts and responses are PII-redacted before leaving the browser. On Basic, receipts are retained for 30 days rolling; on Team, 365 days; on Enterprise, retention is customer-controlled with data-residency options. Opt-in benchmark sharing stores only anonymized flag-type frequencies, never your text.
Yes, on all paid tiers. Receipts export as PDF and JSON. Basic gets 100 exports / month; Team gets 500 shared across the workspace; Enterprise is custom. Trial is preview-only (no export).
No product makes a team compliant. We surface Article 50 labeling obligations for AI-generated content shipping to EU audiences, and we suggest the disclosure string to attach. Your own counsel determines whether your end-to-end process meets the regulation.
Yes - all four are supported in Phase 1 through the existing LogionOS Chrome extension. Turn on creator mode per user; enterprise mode is unchanged. No separate install.
No. Creator Risk Layer is not designed for, and must not be used with, Protected Health Information (PHI) as defined by HIPAA. Do not paste patient records, medical transcripts, or other ePHI into the service. A separate healthtech deployment profile with BAA support is on our roadmap - contact sales@logionos.com if that is your use case.
30-day trial, single user, 200 checks. Card required. Works inside the tools your team already uses.