Programmatic pages, and a way to tell if they worked.

• 01

  Programmatic SEO built on real data

  Integration, use-case and comparison pages generated from structured data — the approach this very page is built with, including the internal-linking and schema work that makes it index.

• 02

  Lifecycle and activation messaging

  Onboarding sequences triggered by product events, with hold-outs so activation lift is measured rather than claimed.

• 03

  Attribution to revenue

  Marketing touch joined to activation and expansion, so the pipeline number and the finance number reconcile.

• 01

  Tenant isolation belongs in retrieval

  Filters at the vector-store level plus row-level security underneath, tested with an adversarial suite that actively tries to retrieve across tenants. This is the finding that ends procurement conversations.

• 02

  Cost per user is a product decision

  We model cost per active user against your pricing before writing the feature, then enforce it with caching, model routing and hard ceilings so the unit economics survive adoption.

• 03

  Evals are the release gate

  A versioned eval set in the repo, run in CI, so upgrading a model is a measurement rather than a gamble.

1. 1

   Audit

   We baseline your CAC, LTV, attribution, and existing AI usage. Identify the 3 levers with the biggest near-term ROI.

2. 2

   Instrument

   Server-side tracking, multi-touch attribution model, AI-friendly content schema. So every dollar can be traced to a conversion.

3. 3

   Activate

   AI media buying across Google / Meta / X / programmatic. AEO content for ChatGPT / Perplexity / Claude search. CRM automation in Gmail + WhatsApp.

4. 4

   Optimize

   Weekly experiment cycles with budget reallocation, audience refresh, creative testing. AI never reallocates over set guardrails without sign-off.

5. 5

   Compound

   Monthly board-ready dashboards. Predictive ROI, churn prediction, LTV cohorts. Growth becomes a system, not a scramble.

• Postgres with row-level security
• pgvector, Pinecone & Qdrant
• Clerk & Auth.js
• Stripe Billing & metering
• Vercel, Fly & Railway
• Sentry, PostHog & OpenTelemetry
• Segment
• GitHub Actions

FAQ

AI growth marketing for SaaS: your questions.

• Isn't programmatic SEO just spam?

  It is when the pages are template-spun from a thin field list. It isn't when each page carries information that only exists because you have the data — which is why we start from your product data and delete combinations that don't have anything real to say.

• How long before organic traffic moves?

  Indexing takes days, ranking takes months. Expect to judge a programmatic set at 90 days on impressions and coverage, and at 6 months on conversions — anyone promising faster is describing a paid channel.

• Why bundle these instead of hiring a paid-ads agency, an SEO agency, and a CRM consultant separately?

  Because the data is shared. When media buying knows what CRM lifecycle a lead is in, both perform 30–50% better. Most agencies can't bridge those silos because they're optimized for one channel.

• What's Answer Engine Optimization?

  Getting your business cited when users ask AI tools (ChatGPT, Perplexity, Claude search, Google AI Overviews) for recommendations. It replaces a chunk of traditional SEO traffic. We do it with structured content, schema, and llms.txt — never prompt injection.

• SaaS prototype to productionMulti-tenancy, real auth, billing, migrations and CI added to a working prototype — plus the security posture your first enterprise buyer will audit.Read
• RAG for SaaS productsRetrieval over your docs and your customers' workspace content, with isolation enforced in the index and tested adversarially.Read
• In-product AI agents for SaaSAgents that execute inside your product — configuring, importing, drafting and fixing — with the same permissions as the user who asked.Read

• AI growth marketing for e-commerceServer-side tracking, margin-aware attribution and AI-assisted creative and lifecycle production — reported per SKU after returns and shipping.Read
• AI growth marketing for real estateListing content at portfolio scale, paid and lifecycle automation, and attribution that follows a lead through to a booked viewing and a closed deal.Read