AI app for marketing · no coding needed
Landing page optimization service
Changes grounded in buyer evidence and evaluated through explicit experiments.
Made for: B2B service companies running paid campaigns
What it does for you
The problem
Landing pages fail to address specific buyer objections.
What it gives you
Testable landing page variants
What you give it
Current pagecustomer researchconversion data
How it works, step by step
- Map objections
- Rewrite message hierarchy
- Generate layout alternatives
- Preserve verified claims
- Define experiments
- Compare observed results
What you see on screen
- Page audit
- variant editor
- experiment log
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Landing page optimization service with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Landing page optimization service with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare21 KB
- prompt-vps.mdThe same build on your own server (Docker)21 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data192 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For B2B service companies running paid campaigns, turn current page, customer research and conversion data into testable landing page variants. Address the recurring problem: landing pages fail to address specific buyer objections. The pilot measures qualified conversion rate and experiment quality against the buyer's current method, before the larger build.
Create a brief, upload reference material, choose constraints, review a small set of directions, refine the selected direction, request client approval, and export a versioned delivery pack. Start with current page, customer research and conversion data and finish with testable landing page variants.
How the AI works
Use language models to interpret briefs and visual models where appropriate to generate or adapt assets. Keep factual attributes in structured fields. Validate dimensions and export formats through deterministic checks. A creative reviewer confirms visual quality and fidelity before delivery.
Safeguards
Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with B2B service companies running paid campaigns and one recurring use case. Build the first two modules: map objections; rewrite message hierarchy. Provide operator assistance for the third module: generate layout alternatives. Deliver testable landing page variants through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Approved brand material, campaign exports and authorized customer research. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. These are candidate integration categories, not verified supported connectors.
The screens in detail
Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. In this product, the first view is page audit, followed by variant editor and experiment log.
