Crawling and indexation
We review robots directives, sitemaps, response codes, canonical URLs and the indexability of commercial pages.
Search & AI Visibility
Technical SEO for B2B websites: fix problems at the source.
Important product and service pages are not indexed, JavaScript content is missing in search, or international website structures compete with each other? We investigate crawling, rendering, indexing and information architecture, then implement improvements directly in the frontend, CMS and infrastructure.
When search engines cannot reach key pages or render JavaScript content reliably, relevant products and services remain difficult to find. Conflicting canonicals, faulty redirects and unclear URL structures can also weaken search signals.
We address the root cause: investigate the actual technical delivery, define clear navigation and data models, and implement verifiable fixes within existing systems.
We review robots directives, sitemaps, response codes, canonical URLs and the indexability of commercial pages.
We inspect rendered HTML, server-side rendering, accessible links and search-engine access to essential content.
We model products, services and applications clearly and implement markup that matches visible content.
We verify hreflang, locale-specific URLs, canonical rules and cross-language relationships.
We start with the URLs and search questions that matter commercially. Then we compare Search Console data, crawl results, HTML output, CMS models and technical configurations. Each finding receives a clear cause, priority and testable acceptance criteria.
Our senior engineers implement changes directly or with your development team: routing and redirects, rendering, internal links, metadata, canonical logic, structured data and technical publishing workflows. We then verify that the issues have been resolved.
JavaScript, headless CMS and dynamic content are not inherently SEO problems. Broken delivery is.
For JavaScript-heavy websites, looking at browser source code is not enough. Relevant content and links must be reliably accessible in the delivered or rendered HTML. We investigate server-side rendering, static generation, hydration, HTTP response codes, robots directives and navigation paths.
A search crawler must be able to reach and correctly interpret important product and service pages. We reproduce failures, specify changes to templates, routing and infrastructure, and validate the results after implementation.
Manage indexable pages, noindex directives, canonical chains, redirects, error responses, XML sitemaps and parameter URLs consistently.
Connect products, industries, applications and services with logical hierarchies and crawlable HTML links. Resolve orphan pages and unnecessarily deep click paths.
Evaluate SSR, SSG, client-side rendering and dynamic components based on actual HTML output and search-engine accessibility.
Assess LCP, INP and CLS using real-user data; improve images, fonts, JavaScript, caching and rendering paths where measurable bottlenecks arise.
Implement appropriate Schema.org types and ensure markup accurately reflects visible page content. Avoid unnecessary or fabricated structured data.
Handle hreflang, language counterparts, redirect maps, canonicals and indexable destinations during CMS changes and website relaunches.
Where applications, variants and markets intersect, content architecture becomes an engineering concern.
An industrial product catalogue may have hundreds of variants, applications and market-specific data sheets. The goal is not to create as many URLs as possible, but to model information with distinct search demand. We determine which information belongs in accessible HTML, which pages should be indexed and how product data, the CMS and frontend interact.
With headless and composable architectures, technical requirements can become reusable components and rules: consistent metadata, automated language relationships, structured navigation and validated templates. This avoids manual SEO workarounds with every new publication.
Technical SEO data does not fully explain how AI systems represent your business.
Search Console and technical SEO checks show how Google processes your website and which search queries generate visibility. They do not fully reveal whether AI systems mention your brand for relevant supplier questions or which sources and competitors appear in their responses.
Vysentra lets you repeatedly observe selected questions and compare mentions, recommendations and sources across competitors. Valanor combines the observations with technical and content analysis. Vysentra does not replace Search Console or guarantee inclusion in AI-generated answers.
Identify relevant buyer questions, existing content, technical architecture and available measurements.
Distinguish issues with delivery, information structures, sources and search intent.
Define and implement improvements in the systems that actually create the problem.
Review technical acceptance criteria and interpret search or AI visibility evidence within its limits.
SEO and GEO consulting overview.
AI visibility software for measuring brand presence and AI citations.
Baseline assessment, technical causes and action priorities.
Generative engine optimization for B2B content and systems.
Industrial product discovery through search and AI systems.
Technical SEO covers the conditions search engines need to discover, fetch, render, index and interpret pages. This includes crawling, HTTP responses, canonical URLs, internal links, structured data, rendering, sitemaps, hreflang and relevant performance factors.
Start with the Page Indexing report and URL Inspection in Google Search Console. We compare those findings with XML sitemaps, canonical signals, robots rules, server responses and the actual HTML content.
Not inherently. Problems arise when important content or links appear late, render incorrectly or require user interaction. We inspect the rendering pipeline and choose SSR, SSG or targeted changes where appropriate.
When key content needs to be reliably available in the initial HTML or the client-rendering path is unreliable. SSR, SSG and hybrid approaches have different trade-offs depending on freshness, scale and system requirements.
Schema.org markup can help search engines interpret page types and visible information. It does not guarantee rich results or inclusion in AI answers; accuracy and consistency matter.
LCP, INP and CLS capture important aspects of user experience. We examine real-user measurements and technical bottlenecks. Good scores alone do not guarantee rankings.
Yes. The CMS is only part of the system. Frontend rendering, routing, metadata, content models, links and publishing workflows must work together. We assess the current architecture before recommending a migration.
We examine indexable language pages, canonical URLs, reciprocal hreflang references, market-specific search intent and consistent relationships between locale URLs. Translation alone is not an international SEO strategy.
We document existing important URLs and organic entry points, then verify redirect maps, HTTP responses, canonicals, sitemaps, internal links and post-launch indexation to reduce avoidable visibility losses.
First by verifying the specific root causes have been fixed and technical acceptance criteria are met; then by looking at indexation, relevant organic visits and qualified enquiries. Rankings and leads cannot be guaranteed.
Technical SEO addresses crawling, rendering and indexation for search engines. GEO also examines how company and content information is used in AI-assisted answer systems. Their foundations overlap, but the measurement methods differ.
Vysentra observes defined questions in AI systems and examines brand mentions, competitors and cited sources. Search Console reports Google search performance and indexing. The two provide different perspectives.
Website URLs, an overview of the CMS and frontend and, where available, Search Console, analytics and hosting data. We agree the required access and handling of sensitive information upfront.
No. Issues can often be resolved in templates, routing, data models or infrastructure. We recommend a relaunch only where the existing architecture cannot economically meet the requirements.
Discuss the next step
We assess the current system, the relevant buyer questions and what should change first.
Managing Director
aleks@valanor.co
+49 (0) 711 16 44 6 83
Lindenspürstrasse 22, 70176 Stuttgart
