AI Site Grade

elektrobit.com — AI Site Grade

Elektrobit's site is open to AI crawlers but lacks llms.txt, blocks PDF whitepapers, and has a cold-knowledge gap where LLMs still describe it as a Continental subsidiary.

Elektrobit's AI visibility is undermined by a missing llms.txt, blocked PDF content, outdated LLM knowledge, and no structured product schema.

Findings
10
Evidence checks
27
Completed
30 May 2026

Analysis

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Elektrobit's site is technically open to all AI crawlers but silently undermines its own discoverability through a missing llms.txt, a robots.txt that blocks dozens of technical whitepapers, and a cold-knowledge gap where LLMs still describe it as a Continental subsidiary — a fact the site itself has now changed to "AUMOVIO."

Crawler Access

All 11 tested AI bot user-agents (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, Bytespider, Applebot-Extended, anthropic-ai, Perplexity-User) receive identical 200 responses with full HTML content — no UA-based blocking, no Cloudflare challenge, no JS shell. The site runs on a plain Apache/2.4.61 (Ubuntu) server hosted on AWS (52.28.26.215) behind no visible CDN or WAF. No security headers (HSTS, CSP, X-Frame-Options) are set. The robots.txt uses a single User-agent: * rule with Allow: / but blocks over 50 PDF whitepapers in /wp-content/uploads/ — technical content AI crawlers would prize for grounding answers about AUTOSAR, safety, and ADAS.

Cold-Knowledge Gap

The LLM prior describes Elektrobit as a "wholly owned subsidiary of Continental AG since 2015." The live site now says it is a "wholly owned, independently operated subsidiary of AUMOVIO" — a parent entity that produces zero search results and appears to be a recent corporate restructuring (Continental spin-off). The cold model also cites "over 3,500 employees" and "over 600 million vehicles"; the live site says "over 2,500 people" and "over 630 million vehicles." The model knows EB tresos, EB GUIDE, EB corbos, and EB Assist as product names but does not mention EB civion (cockpit solution launched January 2026), EB zoneo (networking), or the EB corbos Linux for Safety Applications ASIL B/SIL 2 offering — all prominently featured on the homepage.

Schema Posture

Every page inspected uses WebPage, WebSite, BreadcrumbList, and ImageObject schema via Yoast SEO — technically valid but no Organization, Product, SoftwareApplication, or FAQPage schema anywhere. A company selling AUTOSAR stacks, Linux safety platforms, and cockpit software has zero structured product markup. The homepage has no Organization schema with logo, social profiles, or parent-entity references. The WebSite schema includes a SearchAction but no sameAs links to LinkedIn, YouTube, or Instagram — all of which the site links to in its footer.

Content & Structure

The homepage is a rich, text-heavy 1,183-word document with clear H2/H3 hierarchy centered on SDV building blocks, safety, and open source. The blog contains substantive long-form content (5-8 minute reads) on Linux safety, OTA updates, and AI in SDVs. However, the newsroom page delivers only 24 words of visible text — a near-empty shell. The llms.txt returns a 404 (WordPress 404 page with full HTML/CSS/JS payload). The sitemap_index.xml is well-structured with 7 sub-sitemaps covering ~660+ URLs, but includes stale event pages (e.g., "meet-elektrobit-at-ces-2022").

External Signals

Web searches for Elektrobit partnerships, reviews, and the AUMOVIO parent entity returned zero results — the brand has minimal indexed third-party coverage in general web search, which may limit the citation surface AI engines use to validate claims. The DNS TXT records show verification tokens for Apple, Google, Adobe, Miro, and Slido, indicating a broad but fragmented martech stack.

Findings

  1. Missing llms.txt file High

    The site returns a 404 for llms.txt, preventing AI crawlers from discovering key content pages efficiently.

    What to change: Create an llms.txt file listing important pages such as product pages, blog, and documentation.

  2. Robots.txt blocks PDF whitepapers High

    The robots.txt disallows over 50 PDF whitepapers in /wp-content/uploads/, which contain technical content valuable for AI training and grounding.

    What to change: Remove the disallow rule for /wp-content/uploads/ or allow PDF files specifically.

  3. LLMs incorrectly list parent entity as Continental High

    The cold LLM knowledge describes Elektrobit as a subsidiary of Continental AG, but the site now states it is a subsidiary of AUMOVIO, a new entity with no search results.

    What to change: Add Organization schema with parent-entity information and publish a press release or blog post about the restructuring to generate indexed coverage.

  4. LLMs cite outdated employee and vehicle numbers Medium

    The cold model states over 3,500 employees and over 600 million vehicles, while the site says over 2,500 people and over 630 million vehicles.

    What to change: Ensure the about page and homepage include accurate, consistent numbers and add Organization schema with those details.

  5. No Product or SoftwareApplication schema on product pages High

    Product pages for EB corbos, EB tresos, and EB robinos lack structured product markup, reducing their visibility in AI-generated answers.

    What to change: Add SoftwareApplication schema to each product page with name, description, applicationCategory, and operatingSystem.

  6. No Organization schema on homepage Medium

    The homepage lacks Organization schema with logo, social profiles, and parent-entity references, which helps AI engines associate brand signals.

    What to change: Add Organization schema to the homepage with name, url, logo, sameAs links, and parentOrganization.

  7. Newsroom page has minimal visible text Medium

    The newsroom page contains only 24 words of visible text, providing little value to AI crawlers or users.

    What to change: Populate the newsroom with actual press releases or link to a filtered blog category.

  8. Sitemap includes stale event pages from 2022 Low

    The sitemap contains URLs for events like 'meet-elektrobit-at-ces-2022', which may confuse crawlers and dilute crawl budget.

    What to change: Remove outdated event URLs from the sitemap or add a noindex tag to those pages.

  9. Missing security headers Low

    The site lacks HSTS, CSP, and X-Frame-Options headers, which may affect trust signals for some AI crawlers.

    What to change: Add HSTS, CSP, and X-Frame-Options headers to improve security posture.

  10. Minimal indexed third-party coverage Medium

    Web searches for Elektrobit partnerships, reviews, and the AUMOVIO parent returned zero results, limiting citation surface for AI validation.

    What to change: Encourage industry publications and partners to publish content about Elektrobit, and publish press releases on newswire services.

What's working

  • All major AI crawlers allowed with full HTML content — All 11 tested AI bot user-agents receive 200 responses with full HTML content, no UA-based blocking or JS shells.
  • Homepage is a rich, text-heavy document with clear hierarchy — The homepage contains 1,183 words with clear H2/H3 headings covering SDV building blocks, safety, and open source, providing strong topical signals.
  • Blog contains substantive long-form content — The blog has 4,003 words of content with articles on Linux safety, OTA updates, and AI in SDVs, which are valuable for AI training.
  • Sitemap is well-structured with sub-sitemaps — The sitemap_index.xml contains 7 sub-sitemaps covering ~660+ URLs, aiding crawler discovery.
  • BreadcrumbList schema present on all pages — Every page includes BreadcrumbList schema via Yoast SEO, helping AI understand site structure.
  • WebSite schema includes SearchAction — The WebSite schema includes a SearchAction, enabling AI to perform site searches.

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