Summarize with AI
AI generated website copy sounds generic because a language model writes the most likely sentence for your prompt, and the most likely sentence about an AI product is the average of every homepage in its category. If all you give it is your category, it hands you back the category. Use the model to edit words your customers already said, and never ask it to invent what your company stands for.
This matters because a stranger on your homepage decides in a few seconds what kind of company you are. A line that would fit any rival tells them nothing, so they file you with the cheapest option they have seen that week. You know your product in a detail nobody else has. The model knows less about it than your newest hire, and it will not tell you so.
Harness the power of AI, written for a remittance tool
Picture an AI tool for accounts receivable teams at wholesale distributors. This is an example, not a client. A big customer pays fourteen invoices with one bank transfer, then emails a PDF listing which invoices the money covers, with two short payments and a deduction code for damaged goods. The tool reads that PDF, matches each line to an open invoice in the ERP, and puts the two short payments in a queue for a person to check.
The founder opens a chat window and types one line: write a homepage hero for our AI-powered accounts receivable automation platform. The headline that comes back reads Harness the power of AI to transform your accounts receivable workflow. The subhead reads Streamline payment matching with intelligent automation, so your team can focus on what matters. Two buttons sit side by side, Get Started and Book a Demo. Below them, three cards: Save Time, Reduce Errors, Scale with Confidence.
He asks for ten more versions. They move the same words around. Transform becomes reimagine, streamline becomes simplify, intelligent becomes smart. The word remittance never appears, and neither do PDF, short payment or ERP, the four nouns his buyers would search for.
Change the product noun and the page survives
Here is the test that gives it away. He runs the same prompt again and replaces accounts receivable automation with contract review for law firms. Back comes Harness the power of AI to transform your legal workflow, with the same three cards underneath. Copy that survives a change of product was never about the product. It is a template with a slot for the industry name.
Now put a different line next to it. On a recorded discovery call, a controller at a distributor describes her week before the founder has said anything about the product. The kind of thing that turns up in that transcript is: we stopped copying numbers from the PDF into the ERP, and Monday stopped being remittance day. That line cannot go on a contract review site. It names the document, the system, the chore and the day of the week. A stranger in accounts receivable reads it and knows within one line whether this is for her.
Why a model writes the middle of your category
A language model is trained on a huge amount of text from the public web, and that includes a very large number of software homepages. When you ask it for an AI startup hero, it gives you the sentence that best fits everything it saw under that label. That sentence is the middle of the pile by design. Raising the randomness setting changes the wording, not the idea underneath it.
Research on creative writing points the same way. In a study published in Science Advances, 293 people wrote short stories, some with story ideas from a model and some without. The stories written with model ideas were more similar to each other than the stories people wrote alone. That was fiction, not website copy, so treat it as a signal. It still matches what you see when ten AI startups in one category all launch the same week.
The second problem is that your rivals use the same models. When every founder in a category types roughly the same prompt into roughly the same tools, the whole category drifts to one page. The visual version of this, the dark gradient and the glowing orb, is covered in why your AI startup looks generic. The words drift the same way, and faster, because nobody has to open a design tool to change them.
Better prompts do not fix it, and that is where most advice goes wrong
Most advice on AI copy says the answer is a better prompt. Tell the model to write like a famous brand, to be bold, to avoid buzzwords, to act as a senior copywriter. Those instructions change the tone. They do not add a single fact the model did not have. You get a confident average instead of a bland one, and a confident average is harder to spot.
Here is the claim worth arguing. An AI first draft of your positioning is worse than a blank page. A blank page forces you to say what the product does. A generated draft gives you something that already looks finished, so you edit it toward a slightly better version of the same empty sentence. The founder in our example kept harness and cut the power of AI, which still left a line any rival could publish.
So split the jobs. You and your customers supply every claim. The model is allowed to shorten, reorder and tidy those claims, and to give you twenty variants of a line you already wrote. It is not allowed to supply the claim itself.
Thirty headlines and the call that starts with so is it OCR
Back to the founder. He generated thirty headlines in an afternoon and pasted the best five into the team channel. His cofounder picked the one with transform in it. Each of them read the line as true, because in their heads payment matching meant remittance PDFs from the first word. The page shipped that week.
A month later the demo calls start in a new way. Prospects open with some version of so is this an OCR tool, or how is this different from the matching rules in our ERP. He spends the first ten minutes of each call doing what the homepage should have done. Two of the calls that week were with teams that only have card payments and no remittances at all, because nothing on the page ruled them out.
Every one of those visitors was paid for, in ads, in content or in his evenings on LinkedIn. A page that sounds like every rival sends a share of them back to the search results, and buying more traffic buys more of the same leak. It also costs him in the pitch room. With the Series A bar for AI startups around 3.5 million in ARR (Carta, Q1 2026), an investor reading a homepage that could belong to anyone in the category will assume the product is just as thin.
Using the model as your editor, a routine for this week
You need about an afternoon, a few transcripts and a list of banned words. Mining calls in depth is covered in voice of customer copywriting from sales calls. The routine below is about what you let the model do once the raw words are on the table.
- Gather source material first. Five first-call transcripts, twenty support tickets or onboarding emails, and any written review from a customer. Strip names and company details before anything goes into a tool.
- Write four facts by hand. What comes in, what goes out, what it replaces, and who it is for. For the remittance tool: a remittance PDF in, matched invoices and a short payment queue out, a person keying numbers on Monday replaced, AR teams at distributors.
- Ask the model to edit, not to write. A prompt that works: here are twelve sentences customers said and four facts. Turn each sentence into a headline under ten words. Use only nouns that appear in the source. Do not add any benefit the source does not state.
- Strip the giveaway words. Search the draft for harness, transform, streamline, intelligent, effortless, empower, supercharge, reimagine, next-generation, focus on what matters and at scale. Delete each one. If the sentence still says something, keep it. If it is now empty, it was empty before.
- Run the swap test. Replace your product noun with a rival category, like legal contract review. If the sentence still reads fine, it does not belong on your first screen.
- Run the trace test. Every line in the hero and the first section should point to a transcript line or one of the four facts. If you cannot point to the source, cut the line.
For the remittance tool, the after version reads like this. Headline: Stop copying remittance PDFs into your ERP. Subhead: Customers pay fourteen invoices with one transfer and email you a PDF. It matches every line to the open invoice and queues the short payments for you to check. One button: Match last week's remittances. The three cards become the three steps, read the PDF, match the invoices, check the short payments. For what the visual and buttons around that headline should do, see SaaS hero section design that converts.
What copy only one company could write looks like
The Chariot website is a useful public example. Chariot is a speech AI lab, one of four teams chosen under the IndiaAI Mission to build foundation models for the country. A model asked for a speech AI homepage would hand back something about lifelike voices. The live page instead argues a position: text had its GPT moment, speech is still split across transcription, synthesis, music, dubbing and voice agents, and audio is a modality, not a domain. A rival could disagree with those lines, which is the point. They belong to one lab.
The page also shows rather than claims. Next to the typed text sits how the model speaks it: a prescription line with a dose and a refill number, a flight with a gate and a departure time. A visitor hears the difference instead of reading an adjective about it. On that project the studio led website direction, designed the landing page and built the production site, including the illustration and motion that explain each section before the text does.
A page that carries words your buyers already said
A homepage that sounds like the rest of your category is usually a page written from the category, not from your calls. The fix starts with the words your buyers already gave you and ends with a page built to carry them. Studio Maydit designs and builds websites for AI founders in Framer, Webflow and custom code, with recent clients including Wave, PixelFlow and Mi-VAD, as a fixed scope in three to four weeks or a monthly retainer with no long lock-in. If you are hiring for this, our website design service sets out the scope. Bring two call transcripts and your current hero to a 45 minute call with Studio Maydit.
