Point it at a company URL. It scans the site, writes the plan, generates on-brand creatives and landing pages, launches to every major ad platform — then optimizes spend on its own.
Strategy, creative, landing pages, six ad platforms, analytics and attribution — each a different tool, login and specialist.
Briefs, design rounds, campaign setup and weekly optimization eat days. SMBs and agencies can't staff it.
Budgets sit on losers, winners get starved, and multi-touch credit is guessed. Nobody re-tunes daily.
The expertise to run it well exists — it just doesn't scale across hundreds of clients.
MaaS replaces the stack — and the busywork — with an AI operator that plans, creates, launches and continuously optimizes campaigns. A human approves; the agent does the rest.
Goals → strategy → funnel split, grounded in a live scan of the brand and its competitors.
On-brand images via Imagen 4, video via Veo 3.1 — not stock, not templates.
Launch real campaigns to Meta, Google, YouTube, TikTok and Snapchat.
Search is moving from ten blue links to one generated answer. MaaS is built to be the source the answer engines cite — ChatGPT, Perplexity, Gemini and Google AI Overviews — not just a ranking in a list that fewer and fewer people click.
Every idea and page is optimized to be cited by the generative engines. Citation, not position, is the new top of funnel.
JSON-LD is wired into every generated page's <head> from the start — not bolted on afterwards.
Measures real domain citations (strong) and entity mentions (weak) across Perplexity / OpenAI / Gemini, caching the hit-rate per idea.
Classic search stays — sitemap submission to Search Console + Bing — but sits beneath AEO/GEO in priority, not above it.
Crawl the site: brand color, palette, copy, competitors.
Claude drafts goals, strategy, funnel split & workflows.
Ideas → multi-platform creatives + landing pages.
Real campaigns pushed to every connected platform.
Daily insights → recommendations → autonomous action.
Every applied action snapshots baseline + post-action metrics — the loop literally learns which moves win, per client.
URL → brand extraction → competitor research → plan → activated workflows.
Angle, emotion and funnel stage per idea, each with multi-platform creatives.
Visual section editor, AI copy & hero images, Vercel deploys, custom domains.
Auto-syncing datafeeds; pages auto-built from products; Shopping & PMax.
Daily cross-platform insights with one-click apply on Claude's recommendations.
Probes Perplexity / OpenAI / Gemini for brand citations + JSON-LD action plan. Built in first, not bolted on.
Expo / React Native iOS app — approvals, alerts, Live Activities, Siri intents.
GitHub-Actions-style automation with approval gates and run history.
Most "AI marketing" tools stop at a draft. MaaS closes the loop with a calibrated autopilot that earns the right to act autonomously.
Ads + Instagram organic. Campaign & creative creation wired live.
Search · Display · Shopping · Performance Max — fully wired.
Video + Demand Gen, reusing the Google connection.
Campaign + creative path for feed surfaces.
WEB_CONVERSION fully wired — ad squad, media, creative, ads.
Search Console + Bing sitemap submission; GMC product feeds.
Each integration ships a clear "env-missing" state until configured — demo-able from day one, productionizable when the keys land.
Every metered call — Claude tokens, embeddings, Imagen, Veo, AEO probes — records a usage event with provider, model, unit counts and microcents.
SaaS subscription + spend-based pricing, with transparent cost metering baked into the product — not bolted on.
Seed one command (pnpm seed) and walk the full loop on synthetic data — no platform keys required.
From a single URL to a continuously-optimizing, multi-channel growth engine — built to be the answer the AI gives, not just a link in a list. At the cost of software, not headcount.
MaaS — Marketing as a Service