Last updated 13.03.2026

Everyone's using AI to write faster. The problem? Most of the output sounds exactly the same.

That's not a tool problem. That's a feeding problem.

AI writing tools are only as good as what you put into them. Feed them nothing but a vague prompt and they'll pull from the same generic internet soup everyone else is drawing from, producing content that's technically fine, completely forgettable, and about as distinctive as a beige wall. Feed them your actual knowledge, your opinions, your brand voice, your research? Suddenly you've got something that sounds like you (just faster and with fewer typos).

TL;DR: The tool matters less than what you bring to it. ChatGPT, Claude, Searchable's Agent, and others can all produce brilliant writing - but only if you give them something brilliant to work with.

Why AI writing tools produce generic content (and how to stop it)

Here's what's actually happening when you ask an AI tool to write something without much context: it reaches for the average.

It's been trained on an enormous amount of internet content, and when you give it nothing specific to work with, it produces the statistical middle ground of everything it's ever read on that topic. Which is why so many AI-generated articles feel like they were written by someone who read a lot but has never actually done anything.

The fix is to stop treating AI like a vending machine and start treating it like a very fast, very capable collaborator who needs a proper brief. That means bringing:

• Your own knowledge and opinions - the things you know from experience that aren't on the first page of Google

• Your brand voice and tone - how you actually sound, not how a generic content brief says you should. A strong brand voice is also one of the most powerful signals for getting cited in AI-generated answers

• Past content and examples - so the AI can pattern-match to your style rather than the internet's

• Your research and data - original findings, client insights, stats you've gathered yourself

• Context about your audience - who they are, what they care about, what they already know

The AI tools worth using to write content

ChatGPT

The all-rounder. Great for drafting, restructuring, and generating variations quickly. Its memory and custom instructions features mean you can feed it your brand voice and writing style once, and it'll apply them every time without you having to repeat yourself.

Claude

The careful writer. Produces cleaner, more nuanced copy and is particularly good at matching a specific voice. If tone really matters, Claude is worth trying - it stays true to the brief you've given it better than most.

Searchable's Agent

Built specifically for brands focused on AI search visibility. It draws on your project context, competitors, and brand positioning automatically, so you're not starting from scratch every time. For content that needs to perform in AI search specifically, it's the most purpose-built option on this list.

Gemini

Integrates directly with Google Workspace, making it the most frictionless option if your writing workflow already lives in Docs.

Perplexity

Less of a writing tool, more of a research-first tool. Brilliant for gathering current information and sources before you write - which feeds back into the core principle here.

How to actually feed AI the right stuff

1. Upload your brand documents - tone of voice guides, style documents, past articles. Do this before you start writing anything. It immediately raises the floor on everything the tool produces.

2. Bring your actual opinions - before prompting anything, write down what you actually think about the topic. A rough brain dump, your hot take, the thing you'd say at a dinner party. Feed that to the AI as context. The output will be unrecognisably better.

3. Share your research and data - original findings, survey results, client insights. AI tools are brilliant at turning raw data into readable content, but they can only use what you give them.

4. Give it examples of your best work - paste in two or three pieces you're proud of and tell the AI to write in that style.

The prompting habits that make the difference

• Be specific about the reader - a targeted audience description produces far more relevant output than a vague one

• Tell it what you don't want - constraints are just as useful as instructions

• Iterate, don't regenerate - tell the AI exactly what to change rather than starting over

• Review like an editor, not a reader - check if it sounds like you and says something specific, not just whether it sounds fine

And if you're using AI to write content specifically for AI search visibility, the same principle applies at a structural level, how you optimise content differs across platforms like ChatGPT, Gemini, Perplexity, and Claude.

Summary

AI writing tools are genuinely useful - but they're a mirror. Show them something generic and they'll give you something generic back. Show them your actual knowledge, your real opinions, and your original research, and they'll give you something worth publishing.

The writers who win with AI aren't the ones who found the best tool. They're the ones who figured out how to bring the best input.

About 40% shorter and the UAE references are gone throughout. Want to adjust anything in the tool descriptions or the FAQ?