growthengineering.co.uk — AI Site Grade

Analysis

The Cold-Knowledge Gap Is the Story

The site has undergone a major 2026 rebrand (new logo, "Neurogogy" positioning, "Impact Suite" product naming) that the cold LLM model knows nothing about — it still describes the company using the 2017-era product names "Academy LMS", "Genie", and "knowledge Arcade", and references a SAP Litmos partnership that no longer appears anywhere on the live site.

Crawler Access

All 11 AI bot user-agents tested (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, Bytespider, Applebot-Extended, anthropic-ai, Perplexity-User) receive a 200 with full HTML content identical to the browser baseline — approximately 111KB, no JS-shell risk, no UA-based blocking. The site runs on AWS CloudFront fronting a LiteSpeed origin (WordPress). The robots.txt contains a single catch-all User-Agent: * rule with no AI-bot-specific directives — no Disallow for GPTBot, no Allow for any crawler. The llms.txt returns a 404 (WordPress 404 page, ~114KB of HTML). The sitemap index at /sitemap_index.xml resolves correctly and lists 592 URLs across 3 sub-sitemaps, but the conventional /sitemap.xml path returns a 404.

Cold-Knowledge Gap

The LLM's prior knowledge describes Growth Engineering as offering the "Academy LMS", "Genie" authoring tool, and "knowledge Arcade" mobile platform, and notes a foundation on SAP Litmos. The live site has completely retired all three product names. The current product stack is the "Impact Suite" comprising LMS, Learning App, Authoring Tool, and Zavmo AI — none of which appear in the model's cold recall. The core differentiator "Neurogogy" (neuroscience + pedagogy) is entirely absent from the model's knowledge. The Wikipedia page (last updated January 2022) still references the old product line, which is the likely source of the stale prior. The model also mentions a "positive reputation for customer support and innovation" — a vague positive signal that the site itself does not substantiate with third-party review links.

Schema Posture

Every key page carries rich JSON-LD via Yoast SEO, including Organization, WebSite, WebPage, BreadcrumbList, and ImageObject types. The Organization schema includes sameAs links to Facebook, X, Instagram, LinkedIn, YouTube, and Wikipedia. However, no Product or SoftwareApplication schema exists for the Impact Suite, LMS, Learning App, Authoring Tool, or Zavmo AI — these are the core commercial offerings and have no structured data describing features, pricing, or ratings. The Impact Suite page has a FAQ section (6 questions with expand/collapse) but no FAQPage schema wrapping it. The blog uses Article/BlogPosting schema correctly.

External Signals

The Wikipedia article is the most prominent external reference and is severely outdated (last substantive edit January 2022). It lists products that no longer exist and omits the entire Neurogogy/Impact Suite/Zavmo AI narrative. No Reddit threads, G2 reviews, or Capterra listings surfaced in search. The site claims 120+ industry awards and clients including L'Oreal, HP, Samsung, and the World Health Organization, but no external review aggregators or press coverage were found to independently corroborate these claims in search results. The site is a Certified B Corp (since 2022) and lists ISO 9001, 27001, and 42001 accreditations — these are strong trust signals that the cold LLM did not mention.

Findings

1. LLMs still describe 2017-era products, not the current Impact Suite or Neurogogy High

   The cold LLM prior references Academy LMS, Genie, knowledge Arcade, and a SAP Litmos partnership — all retired. The current product stack (Impact Suite, Zavmo AI, Neurogogy) is entirely absent from the model's knowledge.

   What to change: Publish an llms.txt file with a current product summary, update the Wikipedia page, and add SoftwareApplication schema for each product.

2. No Product or SoftwareApplication schema for any commercial offering High

   The Impact Suite, LMS, Learning App, Authoring Tool, and Zavmo AI have no structured data describing features, pricing, or ratings. This limits AI visibility in knowledge panels and search results.

   What to change: Add SoftwareApplication schema to each product page with name, description, applicationCategory, offers, and aggregateRating if available.

3. FAQ section on Impact Suite page lacks FAQPage schema Medium

   The Impact Suite page has an expand/collapse FAQ section with 6 questions, but no FAQPage structured data. This is a missed opportunity for rich results and AI extraction.

   What to change: Add FAQPage schema wrapping the Q&A pairs on the Impact Suite page.

4. Wikipedia page is severely outdated, last substantive edit January 2022 High

   The Wikipedia article still describes the old product line (Academy LMS, Genie, knowledge Arcade) and omits the entire Neurogogy/Impact Suite/Zavmo AI narrative. This is the primary source of the cold-knowledge gap.

   What to change: Update the Wikipedia page with current product names, Neurogogy positioning, and B Corp status. Ensure citations are from reliable sources.

5. llms.txt returns a 404 WordPress page Medium

   The standard llms.txt file is missing, returning a 404. This file is used by AI crawlers to discover key content and summaries. Its absence forces crawlers to rely on outdated external sources.

   What to change: Create an llms.txt file with a brief company description, key page URLs, and a summary of the current product stack.

6. Conventional /sitemap.xml returns 404 Low

   The sitemap index at /sitemap_index.xml works, but the standard /sitemap.xml path returns a 404. This may confuse some crawlers that expect the conventional path.

   What to change: Redirect /sitemap.xml to /sitemap_index.xml or serve the sitemap index at both paths.

7. No third-party review presence on G2, Capterra, or Reddit Medium

   Searches for Growth Engineering on G2, Capterra, and Reddit returned zero results. The site claims 120+ awards and major clients but lacks independent review signals that AI models often surface.

   What to change: Encourage clients to leave reviews on G2 and Capterra, and add review schema to the site if ratings exist.

8. robots.txt has no AI-bot-specific directives Low

   The robots.txt contains only a catch-all rule with no explicit Allow or Disallow for AI crawlers. While currently all bots are allowed, the lack of explicit directives could cause confusion if the site later wants to manage AI bot access.

   What to change: Add explicit Allow directives for GPTBot, ClaudeBot, and other AI crawlers to ensure continued access.

What's working

• All 11 AI bots receive full HTML content with no JS-shell risk — Every tested AI crawler receives a 200 response with complete HTML, identical to the browser baseline. No UA-based blocking or JavaScript dependency issues.
• Key pages carry rich JSON-LD via Yoast SEO — Organization, WebSite, WebPage, BreadcrumbList, and ImageObject schemas are present on every key page, with sameAs links to major social platforms and Wikipedia.
• Blog uses correct Article/BlogPosting schema — The blog posts are marked up with Article and BlogPosting schema, aiding AI models in understanding and surfacing content.
• Certified B Corp with ISO 9001, 27001, and 42001 accreditations — These trust signals are listed on the site and provide strong credibility, though they are not yet reflected in the cold LLM knowledge.
• Sitemap index at /sitemap_index.xml works and lists 592 URLs — The sitemap index resolves correctly and includes 3 sub-sitemaps covering pages and posts, ensuring crawlers can discover all content.
• Dedicated AI page exists with relevant content — The /artificial-intelligence/ page provides 409 words of content about AI in learning, which helps AI models understand the company's AI stance.