For most agencies, AI has made content production faster than anyone could have anticipated a few years ago. However, the rapid scale at which AI has grown has led to a fair few challenges along the way, with one of the more predominant being ‘AI hallucinations.’
Unfortunately, although faster production can be a boon for agencies, it can also be a wolf in sheep’s clothing, considering AI hallucinations can lead to drafts that look nearly perfect on the surface but are the opposite. This is exactly where the hand grenade parts come in.
With this in mind, we’re exploring the true cost of publishing unedited AI content so you can understand why it’s not as harmless as you might think.
AI Hallucinations Are Not Harmless Little Mistakes
According to OpenAI, hallucinations are described as plausible but false statements generated by language models. So, an AI hallucination happens when a model gives information that sounds believable but is false.
For example, AI models like ChatGPT, Claude, and Perplexity often write content with made-up statistics, incorrect dates, fake quotes, or sources that don’t exist. Usually, this content looks believable, and that is where the risk lies.
In fact, in 2026, Reuters reported that a US appeals court sanctioned lawyers for including fictitious AI-generated case citations in their briefs. Additionally, Nature reported in 2026 that tens of thousands of publications from 2025 may include invalid references generated by AI.
Although it’s true that legal filings and academic papers carry their own level of risk, the lesson still applies directly to agency content, and that lesson is to not take what AI produces at face value.
What Are the Common Causes of AI Hallucinations?
There are a few reasons why AI hallucinates, and they can include the following:
- Training data gaps: In some cases, a model might not have learned the correct fact, but it is familiar enough with the question pattern that it can generate a confident guess.
- Outdated training data: Often, a model’s training cutoff can predate the correct answer, leading it to give an incorrect or outdated reply.
- A lack of grounding: When a model is asked to answer from memory, it guesses at the answer if the memory doesn’t contain it. This stops it from retrieving information from various authoritative sources.
- Ambiguous prompts: Under-specified questions and vague prompts encourage a model to fill in the gaps even when it doesn’t fully know what you are asking it to do.
- Long contexts: When a conversation within a model’s platform becomes too long, it can confuse earlier turns or drift from constraints you’ve applied.
The Cost of AI Hallucinations Is Greater Than You Might Expect
The highest cost of publishing unedited AI content that may include hallucinations is trust, and no one can blame potential customers. If you were a customer of a fellow agency and you caught one false claim, it’s possible you, too, would be doubting the rest of the page. Even worse, you may start to doubt the agency’s entire AI workflow process.
This risk grows exponentially when content supports a business where credibility matters before the sale. For instance, healthcare, finance, legal services, home services, and B2B consulting all rely on trust before readers take action.
So, one shaky claim can make a business look careless, irresponsible, and untrustworthy, even when the mistake originated with a generative AI tool.
Trust aside, a few other common costs of publishing unedited AI content include:
- Brand risk when a client appears to publish false or outdated information
- Lost credibility when fake sources or weak citations make it onto the page
- A weaker voice when the articles sound like every other AI-assisted draft
- Extra revision time when editors need to rescue a rushed draft after the fact
- SEO and AIO risks when content is thin, vague, or, worse yet, hard to verify
- Client relationship strain when mistakes go live before anyone can catch them
Each of the above can also lead to increased, unnecessary costs for a company, and that’s something an agency doesn’t want to happen to its clients.
You Can Use AI to Draft, but Not for the Final Call
Given how integrated AI has become, it’s unrealistic to stop using it for most agencies and their content teams. However, what is important is for these teams to stop pretending that an AI draft is ready for publication without a human pass.
A human editor brings judgment to the page, as they can check various crucial elements. For instance, human editors can check whether an argument makes sense, confirm that claims are accurate, remove overused AI phrasing, and spot places where a piece needs a real example and not a generic statement.
If you don’t believe us, you might believe recent research and legal commentary that continue to point to human review as a key safeguard when generative AI is used for work that reaches the public.
How to Implement Safeguards Against AI Hallucination in Content
If an agency wants its content to avoid hallucinations when using AI platforms, there are a few safeguards that need to be put in place. Of course, you’ll always need an editor, or at least for the foreseeable future, but there are other actions to take:
- Contextual grounding (RAG): With contextual grounding, you’re avoiding asking models to generate facts entirely from nothing. To offer contextual grounding, you can use retrieval-augmented generation (RAG) frameworks like LangChain. These frameworks allow you to connect your AI to a curated database of verified documents.
- Defensive prompt design: You can use your prompts to guide an AI’s behavior to prioritize honesty over generating a confident but incorrect answer. Usually, chain-of-thought prompting is a good idea, as it forces the AI to explain its reasoning and sources before giving you an answer. You can also add curated instructions to keep explicit guardrails in place for content generation.
Better AI Content Begins With Better Content Matters
Now you have a better understanding of how AI hallucinations can be hand grenades. If you don’t vet what your AI platform is producing content-wise, you’re risking breaking trust, losing credibility, harming client relationships, and much more.
It’s a good idea to speak with us at Better Content Matters, as we can help you with AI-generated content you can trust to be hallucination-free. Our team has experience using different safeguards against hallucinations, and we use human editors.
If you want to learn more about how we can help you avoid the incredibly costly mistake of publishing unedited AI content, contact us today.
