AI Competitor Ad Intelligence SaaS.
Client: Adlensa

Project description
SiriusOne turned Adlensa’s single-channel prototype into a production SaaS for marketing teams and agencies: it monitors competitor ads on Meta, Google, LinkedIn and TikTok and uses Claude to explain their messaging and creative. MVP in 7 days, launch-ready in 10 weeks.
- Industry:
- AdTech / MarTech
- Solutions:
- AI Product & Platform Engineering
Challenge
- Competitor ads sit in four separate libraries: Meta, Google, LinkedIn, TikTok; each with its own search logic, filters and formats.
- One competitor analysis took around 8 hours of manual work: copying ads into spreadsheets and spotting patterns by hand. Outdated within weeks.
- The founders needed a prototype turned into a secure, multi-tenant SaaS at startup speed, without trading quality for speed.
Solution
A single research workspace: AI-assisted competitor discovery, ads from four platforms side by side, and Claude-powered insights on positioning, offers, hooks and creative, with follow-up Q&A. Built on AWS with workspaces, Stripe billing and usage limits.
Before: Four disconnected ad libraries
Meta, Google, LinkedIn and TikTok searched one by one, each with different filters and formats.
After: One research workspace
Ads from all four platforms collected in one place and reviewed side by side.
Before: ~8 hr per competitor analysis
Analysts copied ads into spreadsheets and looked for patterns by hand.
After: Analysis in minutes
Claude summarises positioning, offers, hooks and creative patterns across brands.
Before: Manual competitor lists
Research depended on someone knowing and listing the right competitors upfront.
After: AI competitor discovery
Enter your website: Adlensa suggests competitors and pre-fills their ad profiles.
Before: Snapshots outdated in weeks
One-off reports with no easy way to track how competitors’ messaging changed.
After: Launch-ready SaaS
Auth, workspaces, Stripe billing, usage limits, monitoring, dev/staging/prod.

7
days from validated prototype to working MVP

10
weeks to a launch-ready, multi-tenant SaaS

4
ad platforms in one research workspace

8h
of manual analysis per competitor → minutes
total delivery effort
~1,100 hours
ad libraries unified
4 libraries to Meta, Google, LinkedIn, TikTok
cross-functional delivery team
team of 5
separate AWS environments
dev · staging · production








