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.

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No production credentials Implementation as PRs External 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

AI Search Technical Sprint

Typical timeline: 14–21 days
Price: Confirmed after scoping

Typically included

Crawler access, indexation and rendering 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?

Need a plan before implementation?

The $399 Expert Action Plan is available if you want expert prioritization first — a human-reviewed, evidence-based plan with exact implementation instructions, delivered within 48 hours. It is optional: after your audit you can also go straight to an Implementation Sprint.

See Pricing

Pricing + scope Engagement 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 scope Defined deliverables Practical engagement paths

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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

Illustrative Analysis10 min readAUG 2026

How a B2B Platform Migration Could Rebuild Information Architecture for Entity Recognition

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

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Go deeper where it matters.

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