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AI Detector for Businesses

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Screen internal and external content for AI-generated text

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Businesses are dealing with AI-generated content across every department. Marketing teams are using AI for blog posts and ad copy. Sales teams are using AI for proposals and outreach emails. Employees are using AI for reports, presentations, and internal communications. While AI assistance can boost productivity, unreviewed AI content carries risks: brand voice inconsistency, factual errors, generic messaging that fails to differentiate, and potential reputational damage if customers or partners perceive your communications as AI-generated.

Coda One's AI Detector for Businesses provides a browser-based screening tool that any team member can use without IT procurement or vendor approval. Marketing managers can review agency-submitted content. Content leads can spot-check team output to ensure brand voice consistency. Communications teams can screen external-facing documents to maintain professional credibility. The per-sentence analysis enables targeted feedback -- instead of "rewrite this," you can say "revise sentences 3, 7, and 12 which read as AI-generated."

For businesses with content quality standards, the detector can serve as one review aid — but not as a numeric gate. Our published false negative rate is 95.8%, so a score under any threshold you pick tells you almost nothing, and a policy built on one would mostly punish the writers whose formal style trips the 4.2% of false positives. Use the per-sentence view to route an editor to the passages that read generic. This doesn't mean banning AI tools -- it means ensuring that published content, regardless of how it was drafted, still meets your quality and authenticity standards before reaching customers, partners, or the public. The tool starts in the browser, which makes the first review pass faster for teams using the web workflow.

Frequently Asked Questions

How can businesses integrate AI detection into their workflows?
Start simple: add a "run through AI detector" step to your content approval checklist. Any team member can paste content into the tool and screenshot the results. For marketing content, check before publication. For proposals, check before client delivery. For internal reports, spot-check periodically. No API or IT integration needed -- it's a free web tool anyone can use.
Should we ban employees from using AI writing tools?
Banning AI tools is usually counterproductive. Setting a numeric detector threshold as policy is worse: our measured false negative rate is 95.8%, so a low score is not evidence that no AI was used, and our false positive rate is 4.2%, so a high score is not proof that it was. Set standards on the writing itself — specificity, first-hand detail, house voice — and use the per-sentence view to point an editor at the passages that read generic.
What content types should businesses prioritize for AI screening?
Focus on customer-facing content first: marketing copy, blog posts, social media, proposals, and press releases. Then screen high-stakes internal documents: board reports, investor communications, and policy documents. Low-stakes internal content (meeting notes, status updates) is lower priority for screening.
Can this help maintain brand voice consistency?
Indirectly, yes. AI-generated content tends to have a generic, neutral voice that lacks brand personality. If your marketing content scores high on AI detection, it likely also lacks your brand's distinctive voice and tone. Use the detector as a signal that content needs more brand personality, not just as a fraud-detection tool.
Is there a cost for business use?
The web tool is free to use. Teams can open the detector, paste content, and review the result in the browser without going through procurement or enterprise setup.

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