Just like many of you, I’ve been entranced by the capabilities of ChatGPT in generating marketing content ranging from compelling blog posts to engaging newsletters.
As someone who doesn’t naturally possess the flair for creativity and often grapples with writer’s block, constructing a single blog post felt like a huge pain. What used to consume 4-5 painstaking hours now only takes about 30 minutes with my new blogging process.
Today, I’m going to show you my new content writing process that concentrates on “brand trust” – rather than “brand voice”.
At a high level, this means that the facts of what is being written is coming from your content – without ChatGPT making things up. The second part is important especially if you are a brand or a regulated industry where making up facts can be costly and painful.
So without further ado, here is the new process:
Step-by-Step Guide to Using A Custom ChatGPT Chatbot For Content Writing
Step 1 : Define Your Trusted Content
Before you go about asking AI to generate content for you, you should first define what your trusted content is. The goal here is for ChatGPT to inherit facts from this content, without making things up. (also called “hallucinations”).
Here are some examples of trusted content for your brand:
- Your website – this is usually the ultimate “source of truth” for your brand.
- Your helpdesk articles.
- Your trusted PDF documents (like product manuals, tech guides, presentations, etc)
- Your Youtube channels, podcasts and other trusted content you have created.
Some ninja tips:
- You can add authoritative sources to your list of trusted sources. For example, Elizabeth Planet, who coaches non-profit organizations, created a custom ChatGPT chatbot by adding 3-4 trusted non-profit sources to her list of PDF documents she had assembled over the years.
- Add a curated list of webpages or documents from Google or your own favorite lists.
Step 2: Build a Custom Chatbot With The Trusted Content
In this step, we will use CustomGPT to add the documents and sitemaps to your custom chatbot. CustomGPT allows you an easy no-code way to build your trusted chatbot, and then makes sure that the generated content is on-brand (using advanced LLMs), without making things up.
Using Document Upload
Using this method, you can simply upload your trusted documents and have the chatbot index them. This process is super simple and requires no technical skills.
Using Sitemaps
Using this method, you can add trusted public information like your website, helpdesk, pages from Google results, other trusted authoritative websites or even your Youtube channel and podcasts.
And thanks to CustomGPT’s multi-source data integration capabilities, you can mix-and-match and add all your business content.
Ninja Tip: To make the chatbot smarter, add in information from trusted authoritative sources. For example, if you are writing about health, you could add pages from Mayo Clinic. Or if you are writing about law, you could add pages from government documents.
Step 3: Generate Content with the Custom Chatbot
And now the fun part : Now that you have your very own custom chatbot with your trusted sources, start prompting the chatbot and writing the content.
The beauty about this is : The custom chatbot is using advanced LLMs to write using your trusted sources, without making things up.
CustomGPT puts a rock-solid boundary around your content to make sure that ChatGPT does not go around the Internet and makes things up that could hurt your brand trust and integrity.
The above is an example where I wrote content for a recent blog post – where the source was from a curated list of web pages. Notice how the content was bound to those sources – something that was important to me as a brand because we did not want ChatGPT to make things up. (PS: Using the “Citations” feature, we were even able to confirm the sources of the generated content)
Step 4: Humanize, Edit And Publish
While the chatbot-generated content is informative and accurate, it may need a human touch. Have a human editor do a final touch to “humanize” the final content.
Review, make necessary edits, and publish your blog post. Congratulations, you’ve created trusted content using CustomGPT!
Why Use A Custom ChatGPT Chatbot For Content Writing?
With a host of AI writing tools like Jasper, copy.ai and others, one might ask: Why do you even need a custom chatbot for content writing – here are some key reasons why:
Brand Trust
When you are a brand, the facts and words that you publish have implications on the trust in your brand.
The problem is: ChatGPT has been trained on information only up to June 2021 and is susceptible to massive hallucinations – aka: making things up.
Having written hundreds of articles with OpenAI and ChatGPT over the last couple of months, my biggest problem is verifying the content being written by LLMs. At times, I found myself rewriting the entire article for truth.
Save Time Copy Writing
This new process dramatically reduces the time needed to craft high-quality content. ChatGPT, bounded by the trusted content, takes care of the heavy lifting, allowing you to produce content in a fraction of the time it would traditionally take.
The best part: You are not spending hours re-writing content and fact-checking it for accuracy. For every response written by CustomGPT, you can see not only the response from ChatGPT, but also the source from which the response was constructed. This source is important for “peace of mind” and brand trust – because you can rest assured that ChatGPT new models were not allowed to make things up.
Expert Authority
By integrating authoritative and up-to-date knowledge into your custom ChatGPT bot, your content stays relevant and expertly informed. This is crucial for maintaining your brand’s credibility and aligning with Google’s E-E-A-T guidelines, enhancing your site’s ranking potential.
While Google has said that AI-generated content is within it’s terms, just re-gurgitating content from information before June 2021 (like with other copywriting tools), it adds no Experience, Expertise, Authority or Trust in generic ChatGPT content (even though it might look fancy to the naked eye).
My original attempts using davinci and ChatGPT-3.5 had exactly this problem. While they looked nice, they were basically old information being re-written in excellent grammar and prose. To be honest, those articles added no real value to anyone.
Frequently Asked Questions
Does a custom ChatGPT writing bot use only my uploaded sources, or does it also pull from general model knowledge?
For factual writing, the goal is to make the bot inherit facts from your trusted content. Start by defining trusted sources before drafting, and treat anything not supported by those sources as unverified until you add evidence. This helps reduce made-up claims and keeps content aligned with your brand facts.
If I already built a GPT in OpenAI, do I still need a custom chatbot for content writing?
It depends on your goal. If general drafting is enough, your current setup may be fine. If you need a repeatable process where factual statements consistently come from your own approved content, a custom chatbot workflow is usually a better fit.
Do I have to preload every website before the chatbot can write accurate content?
No. Accuracy starts with clearly defined trusted content, not with collecting everything. Begin with the most relevant, reliable materials for your topic, then expand only when you find factual gaps.
What should I upload first to get factual drafts instead of generic AI copy?
Upload your most current and authoritative materials first—especially documents that define product/service facts and any sensitive claims. The stronger your trusted source base, the less generic and less error-prone the draft will be.
How can I keep content-writing workload manageable when multiple teams use one chatbot?
Use a consistent, step-by-step drafting process: define trusted content first, then generate drafts from that source base. A structured workflow reduces rework because teams are aligning on facts before polishing wording.
Can one custom chatbot support different departments writing different content types without mixing facts?
Yes, if each team drafts from clearly defined trusted sources for its use case. The key is to keep factual inputs explicit for each content type and verify claims against those inputs before publishing.
What human review process works best after AI generates the first draft?
Review facts first, style second. First, check that key claims match your trusted sources; then edit tone and readability. For regulated or high-risk topics, add a compliance check before publishing because incorrect facts can be costly.
Founder @ CustomGPT.ai , Husband & Father of 4, Avid cricket wicket-keeper