Business urgency / Engineering control

Fix your website’s AI blind spots in 14 to 21 days.

Not an open-ended marketing retainer. We refactor the agreed code-level infrastructure, establish clean Markdown retrieval endpoints, and implement type-safe schemas through documented pull requests—so external systems receive clearer, more accessible product context.

No production credentialsImplementation as PRsExternal verification

How this works

Scoped and priced after review.

Why there is no fixed price here

A full technical sprint depends on route count, rendering complexity, and existing schema coverage. Those vary too much across SaaS sites for one number to be honest.

Send a project brief describing your architecture and the problems you want fixed. The scope and price are confirmed together, before any work begins.

What's typically included

A broader, three-layer implementation.

This is not a fixed package. The exact scope and price are confirmed together after your architecture is reviewed—here is the kind of work it typically covers.

Typical scope

Full Technical Sprint

Typical timeline
14–21 days
Price
Confirmed after scoping

Typically included

  • Full crawler and /llms.txt architecture
  • Multi-route schema-dts entity pipeline
  • Organization, SoftwareApplication, Product, and Offer relationships
  • SSR or ISR refactoring for agreed SPA traps
  • Metadata, canonical, and Open Graph alignment
  • External post-deployment verification and handover

Scope boundary

Final routes and implementation requirements are confirmed before work begins. Product application logic remains outside scope unless explicitly included.

Tell Us What You Need

Not ready for a full sprint?

Start with the Quick Fix Report.

$399 for a written report ranking your top 5–8 AI-visibility issues by impact, with exact fix instructions for each. Delivered within 48 hours—no call required.

See Pricing
Pricing + scopeEngagement blueprint

Know the scope before you commit.

See how Growthract structures diagnostics, implementation and technical search engagements, then choose the level of support that fits your business.

Clear scopeDefined deliverablesPractical engagement paths

Secure pull-request delivery

Your team keeps complete control of production.

Growthract does not request production deployment keys, master write permissions, or production-environment credentials. Your engineering team reviews, merges, and deploys every change on its own schedule.

Delivery control

No production credentials

We inspect public responses externally and never require production deployment credentials or master write access.

Delivery control

Isolated pull requests

Changes are delivered through isolated branches and documented PRs, or as reviewable patches when repository contribution access is unavailable.

Delivery control

Low review friction

Modules are scoped to the agreed Next.js architecture and kept isolated from unrelated product application logic wherever technically practical.

Implementation case study

Architecture migration, translated into a controlled implementation plan.

A published technical case study showing the scope, implementation logic, and engineering considerations—without implying undocumented client outcomes.

Explore all case studies
B2B Platform Migration: Rebuilding Information Architecture for Entity Recognition Across Search Systems
Illustrative Analysis10 min readAUG 2026

B2B Platform Migration: Rebuilding Information Architecture for Entity Recognition Across Search Systems

How a B2B platform migration could become an opportunity to rebuild information architecture, preserve search equity and improve entity recognition across Google and AI-powered search systems.

Focus areas

  • Platform Migration
  • Information Architecture
  • Entity Recognition
  • Technical SEO
Read the Case Study