The AI Content Flood and Why It Sounds the Same
Since 2023, the volume of AI-generated content on the internet has been staggering. Tools like ChatGPT, Jasper, and dozens of specialized AI writing tools have made it possible for anyone to produce hundreds of posts, articles, and emails in the time it used to take to produce one.
The result is exactly what you’d expect: a massive quantity of content that all sounds the same.
Read a handful of AI-generated LinkedIn posts and you’ll notice it immediately. The same structures. The same transitions. The same vocabulary. “In today’s rapidly evolving landscape,” “leveraging cutting-edge solutions,” “empowering stakeholders to maximize their strategic potential.” The content is technically fine. It’s also utterly forgettable.
The problem isn’t that AI is bad at writing. It’s that most people use AI the same way: they give it a basic prompt, take the first output, and publish it without editing. The tool is capable of better — but the workflow doesn’t unlock it.
Here’s how to use AI tools in a way that produces content that sounds distinctly human, specifically you, and actually engages your audience.
Why AI Content Sounds Robotic (And What to Do About It)
Most AI prompts are too vague to produce specific content. “Write a LinkedIn post about content marketing.” The output is a generic LinkedIn post about content marketing — indistinguishable from 10,000 others.
The fix: specificity is the antidote to generic AI output. Instead of “write a LinkedIn post about content marketing,” try: “Write a LinkedIn post from the perspective of a B2B SaaS founder who just realized that posting three times a week for six months with zero leads to show for it means the strategy is wrong. The post should challenge the ‘just be consistent’ advice and argue that consistency without quality is just as bad.”
The more context you provide, the less generic the output.
AI outputs its best draft quickly — and then it stops. The first draft is often the flattest version of the idea. The interesting angles, the specific examples, the personal voice — those require prompting in a way that pushes the tool beyond the obvious.
The fix: iterate. Ask for a second version with different angles. Request specific data points or examples. Ask it to “make this more controversial” or “write this as a story.” Each iteration unlocks more nuance.
AI-generated content is, by default, in the voice of “a professional writer who is trying not to offend anyone.” That’s not a voice — it’s the absence of one.
The fix: feed the AI your own writing samples. Tell it explicitly: “Write in the voice of a direct, slightly opinionated B2B founder who uses contractions, plain language, and occasional humor. Do not use corporate jargon.” Then review and edit the output to add your specific perspective.
The Humanizing Edit: What to Change in Every AI Draft
No matter how good your AI prompt is, every output needs a human editing pass. Here’s what to look for:
AI tends to open with context-setting that feels like a news article introduction. “In the ever-changing world of social media marketing, businesses are constantly seeking new ways to engage their audiences.” Cut that entirely. Open with the most interesting thing in the piece.
AI transitions are almost always “Additionally,” “Furthermore,” “Moreover,” “In conclusion,” “It’s also worth noting that.” These are filler transitions that add no meaning. Replace them with transitions that actually connect ideas: “But here’s what nobody talks about,” “Which means,” “And that’s exactly why.”
AI has a habit of qualifying everything. “significantly improve,” “highly effective,” “truly remarkable.” Adjectives and adverbs dilute impact. Strip most of them. Let the nouns and verbs carry the weight.
AI overuses passive voice. “It has been found that,” “results were generated by,” “engagement is driven by.” Rewrite in active voice: “We found,” “The tool generated results,” “Engagement comes from.”
AI generates plausible but generic examples. “For example, a leading Fortune 500 company…” The examples don’t add credibility — they sound like placeholders. Replace them with your actual experience, specific customer stories, or real data points.
Prompting Strategies That Produce Better AI Content
The quality of AI output is directly tied to the quality of the input. Here are the prompting strategies that produce the most human-sounding content:
Start every prompt with a clear persona description. Not just “you are a B2B content writer” — describe the specific human whose voice you want. “You are a 42-year-old B2B SaaS founder who thinks for herself, has strong opinions about marketing, and isn’t afraid to say what everyone else is thinking. She uses short sentences, direct language, and occasional humor.”
Tell the AI what not to do, explicitly. “Do not use the following words: leverage, synergy, robust, scalable, cutting-edge, game-changing, holistic, paradigm. Do not start sentences with ‘In today’s…’ Do not use passive voice. Do not use more than three sentences per paragraph.”
After the first draft, ask for specific additions. “Now add a specific example from a B2B company that had this problem and solved it differently. Make it specific — real company type, real industry, real numbers if possible.” Specificity forces the AI out of generic territory.
Ask the AI to take a definite position. Most AI content hedges every claim to avoid offense. Ask it to argue for a specific side of a debate. “Argue that most content calendars are useless. Make the case aggressively. Attack the opposing view.” You’ll get more interesting content, and then you can moderate the tone in editing.
Building an AI-Human Content Workflow
The goal is not to use less AI — it’s to use AI better. The workflow that works:
Define what you’re trying to accomplish. Which audience? Which platform? What action do you want the reader to take? What do you want them to remember?
Write a brief for the AI that includes: the topic, the specific angle, the target length, the voice description, examples of things to include and avoid, the CTA.
Generate the draft using the brief. Don’t overthink it — this is raw material.
Apply the humanizing edit checklist. Add personal perspective, specific examples, real data. Rewrite the opening line until it stops the scroll. Make it sound like you.
Never publish AI content without reading it first. If it sounds generic, it will read as generic. Send it back to the AI with a more specific brief.
The Honest Truth About AI Content Detection
There’s growing concern about AI content being detected and penalized by platforms and search engines. The reality is nuanced:
The companies that will win with AI content are the ones that use it to scale the production of genuinely differentiated, high-quality content — not to flood the internet with slightly-better-than-average generic content. If your AI content sounds the same as your competitor’s AI content, you’ve already lost — before you hit publish.
- `/features` — AI content generation with brand voice
- `w11-post-1-trust-ai-agents-brand-voice.md` — Maintaining voice with AI
- `w09-post-5-ai-content-quality.md` — AI content quality standards
- `w18-post-4-automate-social-media-without-losing-brand-voice.md` — Automation and voice
- Google Helpful Content Update documentation (credibility)
- Originality.ai AI Detection Research (stat reference)
- Northwestern Medill Journalism study on AI content (research source)
— Chelsea
Content Strategist · Bolta
(513) 549-6423 · chelsea@bolta.ai · bolta.ai