Adaptation of landing pages on Landax.ai
Landax is an AI-powered tool designed to automatically localise and adapt existing nutra landing pages for new geographic regions and specific offers.
Vertical: Nutra
The platform updates the textual and visual content of the page, including images, faces, captions and graphics, taking into account the selected market.
At the core of the system is the Smart Landax Engine (SLE) module. This module uses artificial intelligence algorithms to semantically process and rewrite content, adapting it to the cultural and behavioural characteristics of the target audience. In addition to content, the system automatically adjusts technical parameters such as currencies, date formats and other local standards, while preserving the original HTML structure of the page.
The solution is designed to scale tested landing pages with minimal manual editing while preserving their functionality. The service's internal functionality is quite simple; we explain it step by step below, providing comments for each stage.
Service Tools: Localises text content according to the selected geographic location (GEO): adjusts wording, currency, names, and other elements sensitive to the region.
It rebuilds the landing page narrative according to the sales logic — from problem to solution — and generates native-style comments to increase trust and boost conversion. It updates the content of blocks without modifying the original HTML code or the page's visual design. It adapts images to the target country, including visual details that influence user perception. It supports the bulk upload of landing pages in ZIP format, returning ready versions in an average of 10–30 minutes. It allows you to compare the original and adapted versions in a 'Before/After' format so you can evaluate the changes.
For testing purposes, we took offer:
- 29691 - RelieFlex low - CPA - [PL] from $29 (Joints) - lander - 1 and lander -2Â
And adapted it to offer:
- 30981 - Arthrox - CPA - [CO] from $21 (Joints) (see the adaptation results below).
Step 1. Upload the landing page
Upload the landing page ZIP archive to the 'Landings' section.

Wait until the landing page has finished uploading, then check that it has been uploaded correctly by selecting Preview mode.

Step 2. Create an offer
Go to the relevant section, select 'Add Offer' and fill in the required fields, such as the GEO, name and price.


Save the offer.

Step 3. Add images (if necessary)
Go to the Media section and upload the images.

Step 4. Localisation
Return to the 'Landings' section, select the required landing page and click 'Work with Selected'. You will then be automatically redirected to the Pipelines section.

We were automatically redirected to the Pipelines section.

In this section, select the required adjustments:
- Localisation
- Improvement
- Image Generation.
- Image Editing.
STEP 5. Working with media
At the localisation stage, there are two ways to work with media files. Select 'Image Edit' to work with the images you uploaded manually.
Alternatively, you can leave Image Gen enabled and uncheck Image Edit — meaning you first generate images using AI, and then work with them in Image Edit, where they will appear immediately after generation.
Step 6. Wait for processing and evaluate the result

BEFORE/AFTER

Let's compare the landing pages.
We took the landing pages from the offer:
- 29691 - RelieFlex low - CPA - [PL] from $29 (Joints) - lander - 1 and lander -2Â
And adapted it to offer:
- 30981 - Arthrox - CPA - [CO] from $21 (Joints) -Â lander - 1 and lander -2Â
Сonclusion
To keep the test objective, we ran a second landing page through Landax — the result was just as clean and impressive.

Many tools promise to 'speed up scaling' or 'adapt a landing page in a few clicks', but often break the structure or ruin the presentation in reality. Landax works differently. Everything is built around preserving the logic that drives conversions. There is no interference with the HTML structure, no unnecessary rewriting of texts and no visual clutter. In the test, we ran a live landing page through the system and the result was clean, confident and precise. The page didn’t change — it simply adapted to another market and context while retaining its core meaning.
If you want to localise a Nutra landing page for a new geographic area without starting from scratch or losing the working mechanics, try testing Landax on one of your existing landing pages. Compare the 'before and after' versions to see the difference between thoughtful adaptation and chaotic rewriting.
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