Your Vibe Coded Landing Page Isn't Getting Customers. Here's the AI Prompt That Fixes It.
You shipped a beautiful site with Lovable, Bolt, v0, Cursor or Claude Code in an afternoon. It looks incredible. It converts nothing. There's a reason — and there's a single AI implementation prompt that fixes SEO, CRO and AI visibility in one paste back into your coding agent.
Vibe coding is the best thing that ever happened to solo founders. You can build a real SaaS landing page in one prompt. The catch nobody warned you about: AI coding agents are extraordinary at building a landing page and catastrophically bad at building a landing page that gets customers.
You post your launch on X. You get a few likes from other founders. Then nothing. No signups. No organic Google traffic. ChatGPT doesn't mention you when people ask about your category. Your conversion rate is 0.4%. You assume you need a better product. You probably don't — you need a landing page an LLM didn't guess at.
The painful truth:
Lovable, Bolt, v0, Replit Agent, Cursor and Claude Code are not optimized for SEO, conversion, or AI-search visibility by default. They generate code, not a marketing strategy. That's why a vibe coded landing page can be technically perfect, visually stunning, and completely unable to acquire a customer.
Get the Exact AI Implementation Prompt for Your Site
Paste your URL. We crawl your page, audit SEO + CRO + AI visibility, and generate a copy-pasteable markdown prompt designed to be dropped straight back into Cursor, Claude Code, Lovable, Bolt or v0.
30 seconds • No signup • Works with every major AI coding agent
Why Vibe Coded Landing Pages Don't Get Customers
These are the eight failure modes we see on almost every site generated by an AI coding agent — Lovable, Bolt.new, v0, Cursor, Claude Code, Replit Agent and friends.
1. Your Page Looks Built, Not Sold
Lovable, Bolt, v0 and Cursor are optimized to ship a pretty page fast. They are not optimized to write copy that converts. The headline reads like a feature list ("Modern AI-powered platform for teams"). There is no benefit, no specificity, no outcome. Visitors land, scan for 3 seconds, can't tell what you sell or why they should care, and bounce. The site is gorgeous. The bounce rate is 86%.
2. Zero SEO Foundation
Generated landing pages almost never have a proper <title> tag, meta description, canonical URL, Open Graph image, Twitter Card or Organization/WebSite JSON-LD schema. Google can't tell what your page is about, social shares look broken, and you don't get indexed for the queries your customers actually type. You did not get a single organic visitor last month because Googlebot has no idea you exist.
3. Invisible to ChatGPT, Perplexity and Google AI Overviews
AI search is now where buyers research. If your page has no FAQPage schema, no llms.txt, no "What is [your product]?" content, no clear pricing/feature facts in natural sentences, and no author/founder attribution — LLMs cannot quote you. ChatGPT recommends your competitor instead. This is Generative Engine Optimization (GEO), and almost no vibe coded site has any of it.
4. Your CTA Says "Get Started" and Sits Under a Vague Headline
AI coding agents default to generic CTA copy: "Get Started", "Learn More", "Sign Up". There is no urgency, no specificity, no friction reducer ("No credit card required", "Free forever"). The hero promises nothing measurable, so the click promises nothing measurable. People scroll, get vaguely interested, and leave to do literally anything else.
5. Three Competing CTAs and No Primary Goal
A vibe coded page often has a navbar with "Sign In", a hero "Try Free", a pricing block with "Choose Plan", and a footer newsletter signup — all visually equal. There is no single primary conversion path. Every extra option drops conversion. The page has goals, plural. Conversion-optimized pages have one goal.
6. No Trust Signals At All
No testimonials. No customer logos. No specific numbers. No case studies. No founder face. No "trusted by 4,300 teams". Buyers don't trust a site they've never heard of, by a person they don't know, with no evidence. The page asks for an email like it's a favor. People close the tab.
7. Form Asks for 7 Fields When It Should Ask for 1
AI agents love form generators. You get name, company, role, company size, phone, country, use case — for a free trial. Cutting a form from 11 fields to 4 increases conversions by 120%. Most vibe coded sites are coded the wrong direction.
8. Same Page in 40,000 Other Projects
Every AI coding tool has a default aesthetic. Hero with gradient blob, three feature cards, FAQ accordion, footer. Buyers can smell it. The page feels templated because it is templated. Differentiation lives in copy, proof and offer — and an LLM does not know your customer, only your prompt.
Here's what most vibe coders do when conversion sucks: they open Cursor and type "make the landing page better for SEO and conversions". The agent guesses. It adds 14 things you already have, suggests hreflang tags on a single-language site, and pretends to fix metadata that's already fine. Nothing changes. Nothing converts.
The real fix is to give the AI agent grounded context: what your page already has, what it's genuinely missing, and what specifically to change — written in the framework you're actually using.
That's the entire point of LandingScore. We crawl your live rendered page (yes, including JS-rendered SPAs from Lovable, Bolt and v0), audit it against 60+ SEO, CRO and Generative Engine Optimization checks, and produce a single markdown AI implementation prompt that you paste back into your coding agent.
What's Inside the AI Implementation Prompt
The prompt we generate is not generic advice. Every recommendation references your real headings, your real CTAs, your real meta tags, and your detected stack. Here's the structure:
- Exact <title> and meta description copy tuned to your product
- Canonical, Open Graph and Twitter Card tags written for your framework (Next.js metadata export, Vite index.html, etc.)
- Organization + WebSite JSON-LD schema, server-rendered
- robots.txt and sitemap.xml fixes
- Heading hierarchy fixes referencing your actual H1/H2 copy
- Rewritten benefit-driven hero headline based on what your page actually says
- Specific CTA copy with friction reducers
- Trust signal placement (where to put testimonials, logos, numbers)
- Form field reduction with exact recommended fields
- Objection-handling copy blocks slotted into your existing layout
- FAQPage schema with answers an LLM can quote verbatim
- "What is [Your Product]?" content block written for your product
- llms.txt file content tailored to your business
- Author/founder attribution for E-E-A-T
- Robots.txt review so GPTBot, ClaudeBot and PerplexityBot can actually read you
It reads your fully JS-rendered page, not the empty SPA shell. Lovable and v0 sites are mostly JavaScript — most audit tools see nothing. We use a real headless browser so we see what humans see.
It includes an "Already Implemented" inventory. The prompt tells your AI agent exactly what already exists on the page, so it doesn't hallucinate fixes for things that are already there.
It detects your stack (Next.js, Vite, Astro, Lovable, Bolt, WordPress, Shopify, Webflow…) and gives framework-correct code — metadata export for Next.js App Router, raw tags for Vite, etc.
It runs a second validator pass that strips low-value padding recommendations — no "tighten spacing", no "add focus rings", no hreflang on single-language sites. Just the fixes that actually move conversions, rankings, and AI citations.
It uses vision on a screenshot of your hero section, so the CRO recommendations actually account for above-the-fold layout, visual hierarchy and CTA prominence.
Run the free scan
Paste your live URL on the homepage. The crawler renders your page, runs the audits, and the AI generates your implementation plan in under a minute.
Copy the markdown plan
It's formatted as a single document with CRO, SEO and GEO sections, code blocks, and explicit file paths for your detected stack.
Paste into your agent
Drop it into Cursor, Claude Code, Lovable, Bolt, v0, Windsurf, Replit Agent or any other agentic coding tool. Tell it: "Implement plan 1 (CRO) first. Don't touch the other sections yet."
Ship, then re-scan
Deploy, run the scan again to confirm the score moved, then move to the next plan. CRO first (revenue today), GEO second (AI search), SEO last (organic compounding).
The output is plain markdown — designed to be agent-agnostic. Tested with:
Before — Standard Vibe Coded Page
- • Generic headline ("The future of [thing]")
- • "Get Started" CTA with no friction reducer
- • No meta description, no canonical, no Open Graph image
- • No JSON-LD schema at all
- • No FAQ, no llms.txt, no "What is X?" section
- • Zero testimonials or proof
- • 7-field signup form
- • Doesn't appear in ChatGPT or Perplexity answers
- • Doesn't rank on Google for anything
After — Same Page, Prompt Implemented
- • Specific benefit-driven headline tied to a real outcome
- • Action-specific CTA with "No credit card required"
- • Full metadata + canonical + OG/Twitter cards
- • Organization + WebSite + FAQPage JSON-LD, server-rendered
- • /llms.txt and "What is [Product]?" block AI can quote
- • Testimonials with names and specific outcomes
- • Single-field email-first form
- • Cited by ChatGPT/Perplexity when users ask about your category
- • Starts compounding organic Google rankings
Will this work for a Lovable / Bolt / v0 site that's mostly client-side rendered?
Yes. The crawler uses a real headless browser with SPA-detection — it waits for your JS to finish rendering, then audits the actual DOM users see. Plain fetch-based audit tools cannot do this.
Is this the same as just asking Cursor to "improve my SEO"?
No. A blind agent doesn't know what your page already has, so it hallucinates fixes for problems that don't exist and misses real ones. Our prompt includes a verified inventory of what's already implemented and a validator pass that strips low-value recommendations.
Why does GEO matter? Isn't SEO enough?
A growing share of buyer research happens inside ChatGPT, Perplexity, Claude and Google's AI Overviews. Those systems don't rank pages the way Google does — they cite structured, quotable content. If your page has no FAQPage schema, no llms.txt, no plain-English "What is X?" content, you are invisible to that traffic source. See our GEO guide.
How long does the scan take?
Usually 20–45 seconds. You see the screenshot first, then the audit scores, then the full AI implementation prompt.
Does the prompt actually fit in Cursor/Claude Code's context?
Yes. The plan is tight — typically a few thousand tokens, well under any agent's context window. It's designed to be pasted directly with no editing.