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 Outdated within weeks.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.
  • Adlensa on a phone: competitors found for your company, ready to scan
  • Adlensa AI insights on a laptop: Google and Meta run as separate advertising programs
  • Adlensa's AI consultant on a phone answering a question about a competitor's ad strategy

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  • Before: Snapshots outdated in weeks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

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