Our platform uses specialized AI models and established advertising, UX, accessibility, and brand-safety frameworks to analyze, score, improve, and generate high-performing marketing campaigns.
Grounded in AIDA·WCAG 2.2·Google ABCD·Meta Ads·GARM·NN/g·Baymard
Our platform uses multiple advanced AI models for different creative and marketing tasks. For long-form content, campaign analysis, copywriting, and strategic reasoning, we use high-quality language models such as Claude Opus and GPT models. For image generation, we use GPT Image and other image generation models. For video generation, we use a set of specialized AI video models depending on the campaign type, format, and output quality required. For voice, sound, and music generation, the platform can use ElevenLabs models to create realistic voiceovers, audio, and music assets — so every campaign includes not only text and visuals, but complete multimedia assets.
Copywriting, campaign analysis, and strategic reasoning with high-quality models such as Claude Opus and GPT.
Ad-ready visuals generated with GPT Image and other image models, with or without embedded text.
A set of specialized AI video models chosen by campaign type, format, and required output quality.
Realistic voiceovers, audio, and music for marketing content using ElevenLabs models.
One of the core features is AI campaign analysis. Users can select a campaign and run a full analysis on every important part of it — the headline, body copy, CTA, generated images, generated videos, and the overall structure. The system reviews each section based on proven marketing, advertising, UX, accessibility, and brand-safety methodologies.
Grounded in AIDA·WCAG 2.2·Google ABCD·Meta Ads·GARM·NN/g·BaymardThese frameworks help evaluate whether a campaign is clear, persuasive, accessible, platform-ready, visually effective, user-friendly, brand-safe, and optimized for conversion. Each section receives a score, and the platform clearly explains what is weak, what is missing, and what should be improved.
After the analysis is complete, the user can run Auto-Fix. It takes the exact problems detected during the analysis and automatically improves the campaign. The system generates new versions based on the active AI models available — for example, if eight models are active, it can generate eight optimized variations. Each variation keeps the original goal but improves the headline, body copy, CTA, image direction, video direction, and overall messaging.
Each fixed campaign is generated as a new campaign card with a thumbnail, headline, text, image, video, and full details. Clicking a card opens it in a lightbox where all assets can be reviewed.
For generated videos and images, the platform supports feedback controls such as like and dislike. These reactions help the system understand which creative outputs perform better or match the user's preference. The system can also handle models differently — some generate creatives with text inside the image or video, while others can be instructed through the prompt to generate visuals without any embedded text. This gives more control over final ad creatives and makes it easier to test formats.
Models that render headlines, offers, or captions directly inside the image or video.
Clean visuals generated without baked-in text, so copy stays editable and platform-flexible.
The platform also includes an AI Content Studio for article and blog generation. For every product, the system can collect and process all available information — website content, brochures, images, videos, product advantages, key features, keywords, SEO data, and other brand materials. Based on this, the platform generates a large number of professional articles. The text is generated with advanced language models, while images are generated with AI image models.
The article generation process is not a simple one-step output. The system improves the article through multiple refinement rounds — with each round it becomes more complete, more optimized, and more professional, until it is ready for publishing and strong enough for SEO performance.
The generated articles are optimized so that they read like high-quality human-written content. The goal is to create articles that search engines can understand, trust, and rank, while still being useful and natural for real readers.
Reads like a real person wrote it — clear, varied, and human.
Headings, hierarchy, and formatting search engines understand.
Keywords used naturally and in meaningful context, not stuffed.
Genuinely useful content that answers reader intent.
Polished through refinement rounds and ready to go live.
Analyze a campaign, run Auto-Fix, and generate SEO-ready content — all in one platform.