What Growthract fixes

Make your SaaS easier for AI search to understand.

When someone asks ChatGPT or Perplexity for a software recommendation, your product needs to be something AI systems can reliably find, read, and understand. If they can't, you are making it harder for them to represent your product accurately — no matter how good the product is. We fix what's standing in the way.

Run Free Audit See how it works
Business-first diagnosis Code-level implementation External verification

AI visibility path

Access

Can AI even reach your pages?

Context

Does it understand what you actually sell?

Response

Is the important stuff visible right away?

Evidence

Is every fix backed by something real, not a guess?

The principle

After your audit, every fix is something we actually found on your site — not a hunch, and not a generic checklist.

The short version

Good products still need
to be legible to machines.

Specialist

Built specifically around SaaS, technical SEO, and AI search infrastructure.

Transparent

Every recommendation is tied to something we actually found — not a vague visibility score.

Low risk

Audit first. Your engineering team controls every production change and deployment.

The technical barriers

We look for three kinds of problems.

They're different problems, but they add up to the same thing: AI has a harder time finding, reading, and understanding what you actually do.

ACCESS

The Welcome Mat Problem

AI search systems may not be able to reach the information that matters.

Your site can be technically live while search-specific crawlers encounter restrictive rules, unclear routes, or no concise path to authoritative product information.

What we fix

Crawler access & retrieval infrastructure

  • Check whether robots.txt is accidentally blocking AI crawlers like OAI-SearchBot, PerplexityBot, and Claude-SearchBot.
  • If useful for a specific consumer, publish an optional /llms.txt map without treating it as a Google ranking or AI Overview signal.
  • Make sure your most important pages — pricing, product, comparisons — are actually reachable, not buried.

Intended outcome

A clear, verifiable path from AI systems to your product information.

CONTEXT

The Context Problem

Your product may be visible without being understood correctly.

If your company, product, features, audience, pricing, and relationships are inconsistently represented, machines have less reliable context about what you actually sell.

What we fix

Structured entity & product data

  • Give your business a clean, consistent structured-data foundation (Organization, Product, Offer, and so on).
  • Make sure your pricing, features, and positioning say the same thing everywhere — your site, your schema, your docs.
  • Connect the pieces so AI can tell what you are, who it's for, and what it costs.

Intended outcome

A more consistent, machine-readable picture of what you sell.

RESPONSE

The Blank Page Problem

Important content may not exist in the first response.

A browser can make a JavaScript-heavy site look complete while the initial HTML response contains little of the product information an automated system needs.

What we fix

Server rendering & metadata alignment

  • Check what's actually in the raw HTML before any JavaScript runs — that's often what AI sees.
  • Move key content off client-side-only rendering so it shows up immediately, not after the page finishes loading.
  • Clean up titles, descriptions, and metadata so they match what's actually on the page.

Intended outcome

Your core positioning shows up right away, not hidden behind loading scripts.

Why this approach

A specialist problem deserves specialist infrastructure.

We do not start with keywords. We start with access and clarity.

Growthract stays narrow on purpose. We're not trying to be another marketing agency that happens to mention AI — this is the technical layer between your website and the systems that now discover, summarize, and recommend software on your behalf.

We care about the stuff that's easy to miss: crawler behavior, raw HTML, structured data, and the gap between what a browser shows a person and what AI actually sees.

Plenty of agencies will add “AI” to the pitch deck without ever opening dev tools. We'd rather skip the deck and show you the response headers.

See it for yourself

See the problem before discussing the fix.

Screenshots lie. Response headers don't. Run a free code audit and see what your site actually exposes to AI systems right now. Growthract Audit checks the site first and turns what it finds into a prioritized list, so you have something concrete to look at before deciding whether implementation help is worth it.

Run Free Audit See how it works
Live capture · onboarding through scan results
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
View Pricing

How we work

Methodology is the proof.

When the problem is technical, the proof should be too. Your team gets to see exactly what we found, why it matters, and what should change — without handing over more access than the diagnosis actually needs.

See the delivery model

Evidence before opinion

We look at what's actually happening on your site first — crawler behavior, HTML, structured data. The recommendations come after, not before.

Infrastructure before content volume

Writing more pages won't fix an access problem. We make sure AI can actually reach and read what you already have before you add more.

No-risk guardrails

  • No production deployment keys required.
  • No master write permissions required.
  • No forced CMS migration.
  • No black-box score presented as proof.
  • No long-term retainer required to understand the problem.
  • Every recommended change can be reviewed by your engineering team.
See it in action

See what these fixes actually change.

Access, context, and what loads first — here's what changes before and after, in plain terms.

Illustrative exampleBefore / after, illustrated

Before

GPTBot and other AI crawlers blocked in robots.txt
Pricing page has no structured data
Key content only renders after JavaScript runs

After

Crawler access confirmed for major AI bots
Product schema markup live on the pricing page
Core content present in the initial HTML response

This is an illustrative example, not a specific customer's before-and-after.

Built for SaaS teams

Built something good? Let's make sure AI can tell.

Tell us what you're seeing. We'll help you figure out where the technical layer is getting in the way, and what's actually worth fixing first.

Talk to Growthract

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