Case 01 / 04
SMM AI Assistant
- Industry
- Software
- Services
- Product
- Landing page
- SEO
- Meta Ads
- Period
- 2026

The task
A product that does the groundwork of a social media manager: the strategy, the weekly plan and finished posts, not just text from a chat.
The product is ours from the idea on: the brief, the AI pipeline, the web app, payments and the site that sells it. The main market is Ukraine, so the product speaks Ukrainian first, with English alongside.

The product
A 33-question brief turns into a strategy built on research into the field and the competitors. Then the weekly plan fills itself in.
Next.js and Supabase under the hood, Stripe for plans paid in credits. Each project remembers its strategy, topics and tone of voice, so every post starts from them.
Strategy
A preview in about a minute; the full strategy researches the field and the competitors on its own.
Weekly plan
Planned every week at the hour the client chose, in their time zone.
Finished posts
Text built for the format, hashtags, an image and a shot-by-shot storyboard for Reels, Stories and TikTok.
Drafts and approvals
Each post goes from draft to approved to published, edited right on the page.
4
platforms: Instagram, TikTok, Telegram, LinkedIn
6
content formats
33
questions in the brief




The landing page
The page shows the product working instead of describing it: a storyboard plays out and the weekly plan fills in as you scroll.
It answers the main objection head-on: why not just use an AI chat. Then a 2-minute demo, plans from free to business, a long FAQ, and Ukrainian and English versions.




SEO and AI search
Set up so that Google and AI chats like ChatGPT, Claude and Perplexity can read the product and recommend it when someone asks for an SMM tool.
Structured data for the app, its plans and the demo video; 36 FAQ answers marked up for search; hreflang and a sitemap for both languages; and llms.txt with llms-full.txt, which hand AI assistants the whole site as plain text in English and Ukrainian.
Advertising
Meta Ads aimed at an Instagram audience, with the Meta Pixel counting sign-ups and checkouts.
The pixel reports page views, sign-ups and checkouts once the visitor accepts cookies, so the campaigns learn from people who registered, not just from clicks.
Next case
02 / 04
E-commerce · Website, SEO