Free Landing Page Copy Prompt Generator

TL;DR: A landing page copy generator is a prompt, not a product. Paste one input sheet holding your real customer language, your substantiated proof and your actual top objection, then run nine section prompts for hero, subhead, problem, mechanism, proof, objections, offer, CTA and FAQ. The inputs decide whether it converts.

What is a landing page copy generator, and how do you use one?

A landing page copy generator is a structured prompt template that turns a written brief about your product, your buyer and your evidence into copy for each section of a page. There is no separate software to buy. The whole thing is text you paste into whatever model you already use.

It works in two moves. First you fill in one input sheet, once per page. Then you run a short prompt per section, each of which reads from that sheet. Splitting it up matters more than it sounds: a single "write my landing page" request forces the model to average nine different persuasion jobs into one voice, and every section comes out at 70 percent.

The nine jobs really are different. The hero decides whether the reader is in the right place. The subhead makes the hero believable. The problem section proves you have met this person before. The mechanism answers how, the proof answers whether to believe you, and the objection block answers the thing they were already thinking. The offer says what the click costs, the CTA says what happens next, and the FAQ catches everyone who is still hesitating. Ask for all nine in one breath and the model writes the same paragraph nine times in different fonts.

Here is the sheet. Fill every field before you run anything else.

LANDING PAGE INPUT SHEET — fill every field. Leave nothing in brackets.

PRODUCT: [name, plus one sentence on what it mechanically does]
PAGE GOAL: [the single action — start free trial / book a demo / buy]
AUDIENCE: [job title, company size, what their working week looks like]
WHERE THE PAIN STARTS: [what breaks first, then what breaks because of it]
CUSTOMER LANGUAGE (verbatim, 5-10 lines): [paste real lines from reviews,
  support tickets, sales calls, churn surveys, sales-call transcripts.
  Do not tidy them up. Keep the grammar wrong if it is wrong.]
MECHANISM: [how the product removes that pain, in observable steps]
PROOF I CAN SUBSTANTIATE: [each item, plus where a reader could check it]
PROOF I CANNOT SUBSTANTIATE: [things I believe but cannot show]
TOP OBJECTION: [the real one, in their words, not the flattering version]
SECOND OBJECTION: [same]
OFFER: [price, trial length, guarantee, what happens after they click]
FORBIDDEN CLAIMS: [anything legal, factual or competitive I must not say]
VOICE: [three adjectives, plus one sentence I would never write]

RULES FOR EVERY SECTION YOU WRITE FROM THIS SHEET
1. Use only claims listed under PROOF I CAN SUBSTANTIATE. Never invent a
   number, a customer, a company name, a logo, a study, or a quote.
2. If a section would be stronger with a claim I have not given you, do not
   write it. Output a line instead: NEEDS: <the claim you wanted>.
3. Prefer words from CUSTOMER LANGUAGE over words from PRODUCT.
4. Do not list features. Every feature appears as a consequence for the reader.
5. End any sentence you are not certain I can back with [UNVERIFIED].
6. Ask me nothing. If a field is thin, say which field is thin and continue.

Rules 1, 2 and 5 are the parts most people skip, and they are the parts that turn a fluent draft into a usable one. Everything below assumes that sheet is sitting in the conversation.

Why does AI landing page copy read well and convert badly?

Because fluency and persuasion are different problems, and models are extremely good at exactly one of them. Ask for landing page copy with no inputs and you get the statistical centre of every landing page ever published: a broad promise, three feature blocks, some social proof that was never earned, and a button that says Get Started.

Two specific failure modes do most of the damage.

It invents claims. Not maliciously. A page shaped like a landing page has numbers and testimonials in it, so the model fills those slots the way it fills any slot, by generating something plausible. That is hallucination in the ordinary sense, except it lands in a legal document that your company publishes.

It defaults to feature-listing. Features are the easiest thing to describe from a product name, and the model has no access to what the feature does for a specific person on a specific Tuesday. So it writes the catalogue.

Feature-listing is the more expensive of the two, even though it never gets anyone in legal trouble. A list of features asks the reader to do the translation work themselves, and a reader who is three tabs deep and mildly annoyed does not do translation work. They scan, find nothing that describes their week, and leave. The invented claim at least gets read. The feature grid gets skipped, and skipping leaves no trace in your analytics beyond a bounce you will blame on traffic quality.

Here is what the two look like side by side. The product in this example is fictional: a scheduling tool for physiotherapy clinics, invented so the comparison is clean.

Typical output with no input sheet:

The all-in-one scheduling platform trusted by thousands of clinics.

Save time, reduce no-shows, and delight your patients with smart automation,
powerful integrations, and an intuitive dashboard your whole team will love.

                    [ Get Started Free ]

Same model, same product, after the sheet:

Your front desk stops phoning people who already rebooked.

Fillo checks your practice-management system every 15 minutes and pulls
anyone who has already moved their appointment out of the reminder queue.

[ Start free, no card ]   Works with Cliniko and Nookal. Setup is about 20 minutes.

NEEDS: a figure for average reminder calls per week at a 4-therapist clinic.

Nothing about the model changed. What changed is that it had a mechanism to describe and a rule against inventing the number it wanted. The NEEDS line is the second draft telling you exactly what to go and find.

How do you prompt the top of the page?

The top three sections carry the decision. Hero, subhead and problem are where a reader works out whether the page is about them, and almost nobody reads past a hero that could belong to anyone.

Hero headline

Feed it: the whole sheet, with PAGE GOAL and CUSTOMER LANGUAGE doing most of the work. If you have a churn survey, this is where its lines earn their keep.

From the input sheet, write 12 hero headlines.

Constraints:
- 11 words or fewer. Present tense. No colon-and-subtitle constructions.
- Each must name a consequence the reader would recognise from CUSTOMER LANGUAGE.
- Name the product in no more than 3 of the 12.
- 4 written as the sentence a happy customer says to a colleague.
- 4 stating the specific thing that stops happening.
- 4 stating what becomes possible that is not possible today.

Then score all 12 from 1 to 5 on this question only: could a direct competitor
put this exact line on their page and have it be true? (5 = no competitor could.)
Show only the ones scoring 4 or 5, with their scores. Discard the rest silently.

A good output gives you three or four survivors, not twelve. A model that returns all twelve scoring 5 is flattering you; run it again in a fresh session and tell it the scoring was too generous. The survivors should feel slightly too narrow. That is the correct feeling.

Subhead

Feed it: the winning headline plus MECHANISM. Nothing else. The subhead's only job is to make the headline believable, and giving the model the full sheet again tempts it to restate benefits.

Winning headline: [paste].

Write 6 subheads, 22 words or fewer, each doing exactly one job: explain the
mechanism that makes the headline believable.

Rules:
- Name the concrete thing the product does. Ban "streamlines", "optimises",
  "helps you", "empowers", "leverages".
- No new claims. Only MECHANISM and PROOF I CAN SUBSTANTIATE.
- Do not reuse any noun from the headline.

For each subhead, add one line underneath: "The reader now believes: ___".
If you cannot complete that line honestly, delete the subhead.

A good output is judged by the belief line, not the subhead. If the belief line reads "the reader now believes this product is good", the subhead is empty and the model has just admitted it.

Problem section

Feed it: CUSTOMER LANGUAGE and WHERE THE PAIN STARTS. This is the section where borrowed vocabulary matters most, because a buyer recognises their own phrasing faster than they recognise an accurate description.

Write the problem section. 90-130 words.

Build it from CUSTOMER LANGUAGE only. You may reorder and compress. You may not
upgrade the vocabulary into marketing register.

Structure: the moment the problem shows up, then what the reader currently does
about it, then why that stops working as things grow.

Forbidden: "Are you tired of", "In a world where", rhetorical questions,
second-person accusation, and any statistic.

After the section, list every phrase you took from CUSTOMER LANGUAGE and which
line you took it from.

A good output ends with a real audit trail. If the model cannot cite where a phrase came from, it invented the pain, and you have just watched it happen. This is the single cheapest check in the whole process.

How do you prompt the middle of the page?

The middle is where most AI drafts collapse into a feature grid. Mechanism, proof and objections are three separate arguments, and each one fails differently.

Mechanism

Feed it: MECHANISM and the problem section you just approved.

Write the mechanism section: how the product removes the problem above.

Format: one 25-word summary sentence, then 3 numbered steps of about 20 words
each, in the order they actually happen for the user.

Rules:
- Every step must be something a person could watch happen.
- Ban "automatically" and "intelligently" unless the next clause says what runs.
- Name the system, file, inbox or screen involved.
- If a step depends on something the reader must set up first, say so in the step.
- Do not mention benefits anywhere. This section is only what happens.

A good output could be redrawn as a flow diagram by a sceptical engineer who has never seen the product. Feature-listing dies here because the format is temporal: a list of features cannot be put in the order it happens.

Proof

This is the section that most needs constraining, and the one where a loose prompt creates a liability rather than a weak sentence.

Feed it: PROOF I CAN SUBSTANTIATE only. Do not paste the sheet.

Using only PROOF I CAN SUBSTANTIATE, write the proof section.

For each item, output exactly three lines: the claim in plain language, the
evidence a reader could go and check, and the link or artefact I need to supply.

Do not write testimonials. Do not invent customer names, company names, logos,
ratings, review counts, or numbers of any kind.

If an item is weak on its own, say which other item it should be paired with.
Do not strengthen the wording to compensate.

End with a section titled MISSING PROOF: the two claims on this page that most
need evidence I have not given you.

A good output is mostly the MISSING PROOF list. That list is your next two weeks of work: a case study to write, a benchmark to run, a permission to request from a customer who already said the thing you want to quote.

Objections

Feed it: TOP OBJECTION and SECOND OBJECTION, verbatim. The version your sales calls actually produce, not the polite version.

TOP OBJECTION: [paste verbatim]. SECOND OBJECTION: [paste verbatim].

For each, write an answer of 45-70 words.

Rules:
- Sentence one restates the objection more precisely than the reader could.
  Do not soften it.
- Concede the true part explicitly before answering.
- The answer must be checkable: name the policy, the limit, the timeline,
  or the workaround.
- If the honest answer is "yes, that is a real limitation", write that, and
  say plainly who this product is wrong for.

Ban the words "actually", "simply", "just", and "worry".

A good output costs you something. At least one answer should name a customer type you are not right for. Pages that concede a real limit outperform pages that concede a decorative one, because a reader who has already found the limit stops trusting the page that pretends it does not exist. Post 66 has a shorter objection prompt as part of its 45-prompt set for email, ads and landing pages if you want a faster version for a low-stakes page.

How do you prompt the close?

Offer, CTA and FAQ. This is where clarity beats persuasion, and where over-writing costs you conversions directly.

Offer

OFFER: [paste from sheet].

Write the offer block. Include, in this order: what they get, what it costs,
what happens in the first five minutes after they click, what the exit is
(cancel, refund, expiry), and any condition that would annoy someone who only
discovered it after paying.

Rules:
- Every number comes from OFFER. No rounding, no "from", no invented tiers.
- Write the exit terms in a sentence the same length as the price sentence.
- 120 words maximum.

A good output tells the reader the downside before they click. The "what happens in the first five minutes" line is the one people leave out, and it is the one that removes the most hesitation, because most hesitation at this point is about what the click commits you to.

Call to action

PAGE GOAL: [paste].

Write 10 button labels of 5 words or fewer. Under each, one line of microcopy of
12 words or fewer that removes the specific friction at this exact step.

Rules:
- The button names what happens next, not what the reader wants in life.
- Banned: "Get started", "Learn more", "Submit", and "Sign up" with no object.
- Each microcopy line answers one of: what does it cost, do I have to talk to
  anyone, how long does this take, what happens to my data.

Then mark the 3 you would use on a page where the reader has never heard of us,
and say why those 3 and not the others.

A good output has buttons that are boring and microcopy that is specific. "Start free, no card" beats anything aspirational, because the reader is not deciding whether to transform their business, they are deciding whether to spend the next four minutes.

FAQ

The FAQ has a second job now. Question-and-answer blocks are the part of a page that assistants and AI Overviews quote most readily, so a page with honest, standalone answers gets cited in places your hero never reaches.

Write 8 landing page FAQs.

Source the questions only from CUSTOMER LANGUAGE, TOP OBJECTION,
SECOND OBJECTION and OFFER. Invent no questions.

Rules:
- No question may be a disguised sales line. If the answer is "yes, and it is
  great", cut the question.
- Answers 40-80 words, standalone, readable with no surrounding context.
- At least two answers must contain something the reader would call bad news.
- Tag each answer with the input-sheet field it came from.

A good output contains at least one answer you feel slightly nervous publishing. That is usually the one that converts, because it is the only answer on the page that could not have been written by someone with nothing to lose.

Which claims do you have to be able to back up?

Every factual sentence on the page, and the standard is not "we believe it" but "we could show a regulator where it came from". Marketing pages are commercial claims, and the fact that a model wrote the sentence is not a defence anywhere.

Three categories to keep straight.

Performance claims. "Cuts admin time by 40 percent" needs a documented basis. If the basis is one customer, say so in the sentence. If there is no basis, the model should have written a NEEDS line and you should not have published a number at all.

Comparative claims. "Faster than [competitor]" needs a test you ran, with the versions and dates you ran it on. This is the claim category most likely to attract a complaint, because your competitor is reading your page.

Social proof. This one has a bright line. Under the FTC's Rule on the Use of Consumer Reviews and Testimonials, 16 CFR Part 465, which took effect on 21 October 2024, it is prohibited to write or disseminate a consumer review or testimonial that misrepresents that it came from someone who does not exist, or from someone who never used the product. The FTC has stated plainly that AI-generated reviews and testimonials fall inside the rule, and the rule lets courts impose civil penalties for knowing violations (FTC business guidance, checked 26 August 2026). In the UK, obtaining or publishing fake reviews became a banned practice under the Digital Markets, Competition and Consumers Act 2024, in force since April 2025, with CMA guidance published as CMA208.

Fabricated numbers behave the same way. A statistic that entered the draft as filler is indistinguishable from a researched one two revisions later, and the person who eventually has to defend it will not be you.

Here is the ledger format worth keeping next to the input sheet.

How do you review the draft before it ships?

Run a separate pass in a clean session, with the reviewer given the ledger and nothing else. Asking the model that wrote the copy to audit the copy produces agreement, not review.

You are auditing a landing page draft against a claim ledger. You did not write
this draft. Do not improve it, soften it, or rewrite anything.

LEDGER:
[paste PROOF I CAN SUBSTANTIATE, with sources]

DRAFT:
[paste the whole page]

Output one table with a row per factual claim in the draft: the claim, the ledger
item that supports it, and a verdict of SUPPORTED / PARTIALLY SUPPORTED /
UNSUPPORTED. Put every UNSUPPORTED row first.

Then output two lists:
A. Every sentence that would remain true if this product were replaced by a
   competitor's product.
B. Every implied claim: sentences that are not factual statements but would leave
   a reader believing something specific and checkable.

Then stop. Propose no fixes.

Run it twice, in two separate sessions, and compare. Audit passes are not deterministic, and the second run routinely catches a claim the first one waved through. Two runs takes four minutes and is the cheapest insurance on this list. Then have a person read the UNSUPPORTED rows, because the final call on whether a claim is defensible is a judgement about your own evidence, and the model has never seen your evidence.

List B is the one that finds the real problems. "Loved by busy clinics everywhere" is not a factual claim in any strict sense, and it leaves the reader believing something specific about how many clinics use you. That is the sentence a regulator asks about, and it is the sentence the writing model will defend as harmless.

Once the page is live, the prompts become test assets. Keep the winning hero prompt and change one constraint at a time, the same way you would iterate an ad. A/B testing your prompts covers how to keep those variants straight when you have twelve of them.

How do you stop rebuilding the sheet for every page?

The input sheet is the expensive artefact here, and most of it does not change between pages. Audience, voice, forbidden claims and the substantiated-proof ledger are stable for months. Customer language grows. Only the page goal, the offer and the objections really move.

So split it. Keep the stable half as a saved context you paste once per session, and keep the volatile half in the prompt. If your team writes pages for several products or several clients, the stable half is per-product and the prompts are shared, which is the arrangement described in the marketing team prompt playbook. The voice fields specifically are worth building properly once, and a brand-voice context covers how.

Prompt Architects is the tool we build, so treat this paragraph accordingly: everything above runs in any model with no account anywhere. What we add is the storage layer. Global Variables hold your audience line, voice adjectives and proof ledger so they resolve into every section prompt without retyping. The Prompt Library keeps the nine section prompts versioned in one place. Team Sharing puts the same set in front of every writer, so two people writing two pages are working from one ledger rather than two memories. The extension puts them one click away inside ChatGPT, Claude, Gemini and the other platforms it supports. There is a free plan, and paid plans start at $4.99 per month at the time of writing (current pricing).

What we are not is a copywriting product. If you want software that generates and hosts the page itself, dedicated tools like Jasper, Copy.ai and the page builders with AI features built in are the category to look at, and this post is not a comparison of them. We handle the prompt layer. If you are new to that layer altogether, what prompt engineering actually is is the grounding.

The honest summary is short. The generator is not what makes the page good. Nine prompts with word limits and a ban on invention will get you a draft that is specific, checkable and roughly the right length. Everything after that is the work of finding the proof the MISSING PROOF list asked for, and no prompt does that part for you.