I'm a content strategist for a marketing agency, and we're being asked by clients to explore using Generative AI for drafting blog posts and social media content. I've experimented with a few tools, but the output often feels generic and requires heavy editing to match a brand's voice. For teams integrating this technology practically, how are you establishing effective workflows that use AI for ideation and first drafts while ensuring the final product maintains quality, originality, and doesn't inadvertently plagiarize?
Here's a practical, repeatable pattern: start with a solid brief, then use AI for ideation and outlines, not the final draft. Have a human editor polish. Build prompts to enforce brand voice: e.g., 'Write a blog intro in a warm, confident, data-backed voice for [brand], 120-160 words, include a CTA.' Generate 5 headline variants and 2 social caption options. After draft, run through a plagiarism/originality check and rewrite any sections that resemble sources too closely. Maintain a living 'brand voice' guide and a content QA checklist.
Quick playbook snippet: 1) generate topic ideas (AI), 2) draft outline (AI), 3) human-written draft, 4) AI polish to fit voice and length, 5) editor review and SEO checks, 6) publish. Use templates to keep outputs consistent.
Sample prompts you can save: Blog intro: 'In the brand voice of [Brand], write a 120-150 word intro on [Topic], with 2 data points and a CTA. Headline variants: 5 options. Section outlines: 4-5 bullets.' Social post: 'LinkedIn post, 180 words, professional but approachable, include stat and CTA.' Email: 'Subject line options: 3; body: 150-200 words; voice: consistent.' Then you can reuse. For data points, ask AI to cite sources or paraphrase. Then add a human citation and adjust.
Do you have a brand voice guide or a content compliance standard? Are your clients comfortable with AI-generated drafts? What channels are you targeting? Are there established review cycles?
Note on plagiarism: avoid reproducing others' phrasing; use plagiarism checker; ensure content is produced by you; ensure the final content isn't derivative; declare if AI-assisted.
Workflow wins: one team cut editing time by about a third by using AI to draft outlines and tag sections for editors; maintain a 'quality gate' via a short editorial checklist before publishing.