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About Stackra and FAQs

About Stackra

Stackra is a free website audit tool that measures how ready your website is to attract, convert, and retain customers. It crawls your site, runs a Google PageSpeed Insights performance audit, analyzes your content and design, and generates expert-level recommendations, all in one report.

Scores are built on three pillars: Conversion & Trust, Search Visibility, and Technical Confidence, blending deterministic measurements with AI expert judgment from CMO, SEO, and CTO perspectives. Business-type detection (SaaS, e-commerce, local service, and more) ensures benchmarks are relevant to what your site is actually trying to do.

What's included in every report

  • Multi-page crawl (up to 20 pages)
  • Growth Readiness Score across three pillars: Conversion & Trust, Search Visibility, Technical Confidence
  • AI expert reviews from Chief Marketing & Experience Officer, Search Expert, and Technical Lead personas
  • Visual homepage analysis (desktop and mobile screenshots)
  • Core Web Vitals and performance audit via Google PageSpeed Insights
  • On-page SEO, structured data, and content quality analysis
  • Accessibility audit (WCAG 2.2)
  • Security header and technology stack detection (200+ patterns)
  • Business-type-aware scoring and benchmarks
  • Downloadable PDF report
Frequently Asked Questions
What does a website review include?

A website review covers the areas that drive real business outcomes: search visibility, conversion readiness, and technical health. Rather than just flagging issues, Stackra gives you a scored picture of where you stand and what to prioritize to move the needle, with expert feedback from marketing, SEO, and technical perspectives.

Does AI scan my website or interact with it directly?

No. AI never visits your website or connects to it in any way.

Stackra's own crawler, built on a stealth browser, visits your site and collects data (screenshots, page content, performance metrics, HTML structure), then packages all of that into a structured evidence bundle. The AI models only ever see that bundle. They never fetch your URL, never make requests to your server, and never interact with your live site.

This has a practical benefit too: because our crawler uses the same stealth techniques as a regular browser, it won't be flagged or blocked differently than a normal visitor. AI web crawlers, by contrast, are commonly blocked by bot protection systems like Cloudflare.

How long does an analysis take?

A complete analysis typically takes 3-5 minutes. This covers crawling up to 20 pages, running a Google PageSpeed Insights performance audit, capturing desktop and mobile screenshots, extracting technical and content signals, and generating AI expert reviews from three perspectives. Larger or slower sites may take up to 6 minutes.

What exactly gets analyzed?

Analysis runs across several layers in parallel:

Performance and Core Web Vitals: LCP, INP, CLS, FCP, and TTFB via Google PageSpeed Insights with simulated network throttling.

SEO signals: meta tags, heading structure, keyword usage, internal linking, structured data (JSON-LD), robots.txt, and content freshness across up to 20 crawled pages.

Content quality: sentence clarity, scannability, heading hierarchy, word count, and content depth, evaluated using NNGroup-backed web content standards.

Visual design: desktop and mobile screenshots of your homepage are analyzed to assess CTA visibility, hero message clarity, social proof placement, and trust signal quality.

Trust and conversion signals: forms, CTAs, contact information, testimonials, certifications, and pricing signals.

Technology stack: detected frameworks, analytics tools, CDN, security headers, and HTTPS configuration (200+ pattern library).

Accessibility: WCAG compliance issues via Google PageSpeed Insights' accessibility audit, including ARIA, contrast, and keyboard navigation.

How is the Growth Readiness Score calculated?

Your score is built on three pillars, each weighted by business impact: Conversion & Trust (35%), Search Visibility (35%), and Technical Confidence (30%).

Each pillar blends two inputs: 70% deterministic signals (measured data such as page speed, heading structure, security headers, and internal link count) and 30% AI expert judgment (the CMO, SEO Expert, and CTO persona scores). This anchors scores to real evidence while still capturing nuance that raw metrics miss.

Scoring also adapts to your business type. Stackra detects whether your site is an e-commerce store, SaaS product, local service, media publisher, and more, across 20 categories mapped to 16 scored profiles. Benchmarks and thresholds shift accordingly, so a local landscaping company isn't penalized for not having a product checkout flow.

Conversion & Trust: trust signals, forms, CTAs, social proof, visual design, hero clarity, and homepage conversion fitness.

Search Visibility: SEO fundamentals, content fitness, Core Web Vitals, structured data, internal linking, and indexability.

Technical Confidence: Performance (via Google PageSpeed Insights), accessibility, security headers, mobile experience, and tech stack health.

How do you measure performance? Will my score match Google PageSpeed?

We use Google PageSpeed Insights API directly, which means your scores run on the same infrastructure as pagespeed.web.dev. Both desktop and mobile are measured in parallel.

PageSpeed Insights uses Lighthouse with simulated throttling (the Lantern model) -- a mathematical model that predicts performance under typical network conditions (Slow 4G for mobile, broadband for desktop) rather than actually throttling the connection. This produces consistent, reproducible scores.

Small variations can still occur between Stackra and a manual PageSpeed Insights check. CDN edge caching, A/B tests on your site, and transient server-side differences can all cause minor fluctuations between runs. If your scores differ by more than 10 points, it is worth checking whether your CDN caches differently by user agent or request origin.

Who are the AI expert personas?

Three AI experts each review your site from a different lens, score their domain, and generate specific recommendations. Their scores contribute to the three scoring pillars:

CMO (Conversion & Trust): Evaluates marketing effectiveness, conversion paths, trust signals, brand clarity, and visual design quality. Looks at your site the way a growth-focused marketing leader would.

SEO Expert (Search Visibility): Analyzes on-page SEO, content strategy, keyword targeting, technical crawlability, and discoverability. Grounded in current Google Search guidance and ranking research.

CTO (Technical Confidence): Reviews performance, security posture, accessibility compliance, mobile experience, and the quality of your technology choices.

Each persona's score is anchored to the deterministic signals collected during the crawl, so AI judgment can't drift far from what your site actually measures.

How does business type affect my score?

Stackra detects what kind of business your website represents (SaaS, e-commerce, local service, professional services, media, non-profit, and more) and adjusts benchmarks and recommendations accordingly.

For example: an e-commerce site is evaluated on product discovery, checkout trust, and pricing clarity. A local service business is evaluated on contact accessibility, geographic signals, and trust indicators like reviews. A SaaS site is evaluated on trial/demo CTAs, feature clarity, and pricing page quality.

This means your score reflects how well your site performs for your type of business, not against a generic one-size-fits-all standard.

How often should I run an analysis?

After any significant website change (a redesign, new landing page, CMS migration, or performance optimization), run an analysis to verify the impact. Beyond that, quarterly assessments help you catch drift over time (search algorithm changes, new security issues, page bloat) before it compounds. Monthly is reasonable if you publish content regularly or run active conversion experiments.

Is my data kept private?

Stackra only analyzes information that is publicly accessible on your website; the same content any visitor or search engine crawler can see. Your analysis results are stored securely and tied to your account. We do not sell or share your data with third parties.

How do I act on the recommendations?

Each recommendation is tagged with the impacted pillar, expected impact level, and effort estimate. A good starting point is to sort by high impact and low effort; these are your quickest wins. Technical recommendations (security headers, performance budgets, accessibility fixes) are written to be handed directly to a developer. Content and conversion recommendations are written for marketers and founders to act on without technical help.