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Best prompts for ChatGPT Marketing for landing pages using personalization
12 copy-ready prompts to generate highly personalized landing page content. Each prompt is specific, practical, and includes a realistic example you can paste into an LLM. Use the placeholders (e.g., {persona}, {city}, {referral_source}) and replace them with real data from your analytics, CRM, or campaign parameters.
Claude Opus 4
Gemini 2.5 Pro
GPT-5
Claude Sonnet 4
Gemini 2.5 Flash
You know that sinking feeling when you're staring at ChatGPT, typing "write me a landing page" and getting back the same generic, corporate-speak nonsense that sounds like every other website on the internet? You've tried tweaking your prompts, adding more details, but somehow your AI-generated copy still feels flat and disconnected from the real people you're trying to reach. What if I told you the secret isn't in the AI itself, but in how you talk to it?
These 12 battle-tested prompts transform your ChatGPT from a generic content machine into your personal copywriting strategist who actually gets your audience. Each prompt is designed to pull real data from your analytics and campaigns to create landing pages that speak directly to your visitor's persona, location, referral source, and buying stage. Instead of wrestling with bland, one-size-fits-all copy that converts poorly, you'll have a systematic approach to generate personalized landing pages that feel like they were written specifically for each visitor who lands on your site.
1
Persona-driven hero + subhead variations
You are a landing page copywriter. Given a product (SaaS project management for small teams), produce hero section content for four personas: {persona_1}, {persona_2}, {persona_3}, {persona_4}. For each persona, deliver: 3 headline variations (10–14 words), 2 subhead variations (18–28 words), 3 micro-benefit bullets (6–10 words each), one CTA label (2–4 words), and tone guidance (one line). Use first-party persona signals (role, primary pain, decision speed).
Create tailored hero headlines, subheads, and 3 short supporting bullets for 4 visitor personas. Provide tone guidance and one CTA variant per persona.
2
Location-based localized landing copy
Write a landing-page hero, subhead, two localized trust signals (one customer quote mentioning their city and one compliance/local benefit), and a localized CTA for a visitor in {city}, {country}. Include local stat (use placeholder if not available), regional currency and common local phrasing. Keep copy concise for above-the-fold placement.
Generate localized hero, subhead, and 2 geo-specific trust signals (local customers, compliance/regulation) for a visitor's city and country.
3
Referral-source personalization (ad, search, email)
Produce landing page hero, subhead, 2 lines of social proof, and a primary CTA for visitors arriving from {referral_source} (options: paid_search, social_ad, email_campaign, organic_search). For each referral_source, include why the page addresses the visitor's intent and one microcopy change for the CTA (e.g., 'Get demo' vs 'Start free trial').
Tailor messaging depending on referral source to match intent and expectations with CTA adjustments.
4
Industry and company-size personalization
Generate a landing page hero, three benefit statements, two feature callouts, and a pricing hint tailored to an audience of {industry} companies with {company_size} employees. Use language that reflects their common workflows and KPIs.
Create landing page sections targeted by industry and company size: headline, 3 benefits phrased for that vertical, feature callouts, and tailored pricing hint.
5
Role-specific social proof and logos
For visitors with role {role} in industry {industry}, write one role-specific testimonial (30–40 words), a one-line attribution (name, title, company type), and two short credibility taglines (e.g., 'Trusted by 500+ retailers'). Suggest which customer logos or case study types to show to maximize trust.
Craft testimonial and logo suggestions that speak to a visitor's role and priorities; include short testimonial, attribution, and credibility taglines.
6
Product recommendation section from browsing history
Using the visitor's recent views {viewed_products} and their last action {last_action} (e.g., viewed pricing, added to cart), write a 'Recommended for you' section with 3 product recommendations (title, 1-line benefit, tailored price signal), plus two upsell microcopy lines to increase AOV. Include reasoning for each recommendation.
Generate personalized product recommendation copy and three bundled upsell microcopy items based on recent viewed categories.
7
Personalized pricing table copy
Create a 3-column pricing table for a visitor with {company_size} employees and {expected_monthly_users} monthly users. For each tier (Basic, Pro, Enterprise) provide: tier name, 4-line description focused on their needs, recommended tier callout (highlight one), and personalized discount messaging if annual billing. Use currency {currency}.
Produce a pricing table that adapts tiers, usage descriptions, and discount language based on company size and expected usage.
Stop Losing Your AI Work
Tired of rewriting the same prompts, juggling ChatGPT and Claude in multiple tabs, and watching your best AI conversations disappear forever?
AI Flow Chat lets you save winning prompts to a reusable library, test all models in one workspace, and convert great chats into automated workflows that scale.
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