Tip 28 of 31: Improve Generic AI-Written Content

The Real Issue With Unedited AI Content

The Real Issue With Unedited AI Content

AI writing tools are trained on published content. They produce competent averages: grammatically correct, appropriately structured, and devoid of anything that only you could know. The result reads like it could have been written by anyone, because in a sense it was.

That's not a style problem. It's a sourcing problem.

Why "competent average" content fails with AI search

Large language models don't retrieve pages because the writing is fluent. They retrieve pages because the page contains something worth extracting: a number, a claim, a first-hand result, a position nobody else has stated as plainly. Fluency is table stakes. It is not a ranking or citation signal.

When you publish AI-generated copy without editing in anything specific, you're adding another version of the same average the model was already trained on. You're not giving it new information to cite. You're giving it a slightly reworded copy of what it already knows. There is no reason for an AI system, or a human reader, to prefer that page over the thousand others saying the same thing in the same generic register.

What actually makes content worth citing

AI-assisted search systems need source material to ground their answers in. Content earns that role when it does one or more of the following:

• Adds first-hand experience. Something you did, measured, or observed directly, not a summary of what others have said about the topic.
• Presents original evidence. A number, a test result, a before-and-after, a dataset. Something checkable that didn't exist in the training data until you published it.
• Gives specific examples. Named situations, real figures, actual outcomes, not "many clients report improved results."
• States a clear, defensible position. A stance the writer will own, not a hedge that tries to please every reader by saying nothing.

Generic copy that repeats the web's existing consensus fails on all four. It gives readers no reason to trust it more than a competitor's page, and it gives AI systems no reason to cite it over a hundred near-identical sources. Consensus content is replaceable by definition. If ten other pages already say it, the eleventh adds nothing.

The fix isn't "write it yourself instead of AI." It's edit for specificity.

AI-drafted content isn't the problem. Unedited AI-drafted content is. The fastest way to convert a generic AI draft into citable content is to force in the four things it cannot invent on its own: real numbers, real examples, a real opinion, and something you know that the model doesn't. Strip the hedge words, strip the "many businesses find," and replace them with the actual number, the actual client, the actual result.

AI and Human Expertise Together

One of our clients generates £45,000 in placement fees from their website in a single month. The content that drives those results is not generic. It draws on 22 years of experience and work across 667+ recruitment websites. AI can help accelerate the drafting process, but it cannot independently supply that first-hand experience, client evidence or a defensible point of view. The human expert must add and verify the specific layer that makes the finished content useful and worth citing.

Frequently Asked Questions

Is it wrong to use AI for content creation?

No. AI can be a legitimate drafting, research and editing tool. The important questions are whether the finished content is accurate, useful and supported by genuine expertise or evidence. An AI-assisted draft that a subject matter expert has substantially reviewed and improved can be more useful than content written without sufficient knowledge or care.

How can I tell if my AI-written content is too generic?

Ask whether a competitor could publish the content unchanged without readers noticing. If the answer is yes, it probably lacks sufficient specificity. Check whether it contains first-hand experience, original evidence, business-specific facts, useful examples or a clearly explained position that could not have been produced from generic source material alone.

Will Google penalise AI-written content?

Google does not prohibit content simply because generative AI helped produce it. Its guidance focuses on the quality, accuracy, relevance and purpose of the finished content. However, producing large numbers of pages with little or no added value may violate Google's scaled content abuse policy, regardless of whether the pages were produced by people, automation or a combination of both.

What types of AI-generated content are most at risk?

The weakest examples commonly include introductions that repeat the page title, generic advice that could apply to almost any business, unsupported factual claims, invented quotations or statistics, vague calls to action and conclusions that merely repeat earlier sections. Pages created at scale without adding original value are particularly risky.

How much time does improving an AI draft actually take?

For a roughly 1,000-word article, RecruiterWEB would normally allow approximately 20 to 45 minutes for a knowledgeable subject matter expert to review and improve a reasonable first draft. More time may be needed when claims require research, evidence must be checked or the initial draft contains substantial inaccuracies. The objective is not merely to polish the wording, but to make the content accurate, specific and recognisably yours.

Author

Darren Revell, Co-Founder, RecruiterWEB