Structure services around buying needs
Separate service pages, industries, use cases and decision guides by actual search intent.
B2B SEO and AI visibility
SEO and GEO for mid-sized businesses
Technical SEO and AI answer visibility rely on accessible content, clear service information and verifiable expertise. We improve information architecture, structured content and technical discoverability, then measure performance without guaranteeing AI citations.
Geschäftsproblem und gewünschte Veränderung
Mid-sized B2B organizations often maintain websites spanning products, technical documents, sectors, brands and languages. Expertise exists but is scattered across PDFs, duplicated pages and inconsistent navigation. Decision-makers cannot easily connect a question to the right service or evidence.
Technical SEO and GEO address these issues through clear page roles, crawlable content, verifiable information and repeated measurement of relevant buyer questions.
The aim is not keyword volume for its own sake. Buyers need discoverable, decision-relevant information.
Separate service pages, industries, use cases and decision guides by actual search intent.
Check HTML rendering, canonicals, sitemaps, internal links, structured data and accessibility.
Describe concrete systems, trade-offs, sources and attributable project work.
Localize English and German pages by search intent and validate reciprocal hreflang.
Test whether business information is represented correctly in relevant AI responses.
Connect search queries and engagement to useful inquiry paths without relying only on rankings.
SEO supplies the technical and editorial foundation for conventional search. GEO, or Generative Engine Optimization, adds attention to how company services, products and expertise are represented in AI-supported answers.
The same content must remain accurate, source-backed and crawlable. No single file, schema markup or special optimization guarantees inclusion or recommendation in AI responses. The underlying business entity, site architecture and information quality still matter.
We align technical SEO, content engineering and relevance measurement within Search & AI Visibility.
Prioritize specific buyer intent, technical blockers and commercial relevance, not indiscriminate content production.
Identify specific needs, decisions and search intents before selecting topics.
Review current pages, rendering, indexing, link structure and duplicate intents.
Allocate each question to a clear service, industry or use-case URL.
Improve actual page answers, evidence, metadata and accessible structure.
Track relevant queries, conversions and repeatable AI-answer observations.
Ranking for a broad query is not a substitute for a meaningful technical inquiry. A strong service page should explain the implementation scope, conditions, alternatives, proven work and a useful next step.
Evaluate page success through relevant impressions, qualified traffic and business outcomes. For AI answers, use documented prompt sets and repeated observation rather than claiming a stable rank from a single result.
Effective search discovery depends on content, website architecture and consistent measurement.
Make meaningful text and links available in rendered HTML.
Assign distinct purposes to service, sector and use-case pages.
Identify actual authors, technical methods and published project evidence.
Use localized URLs, language-specific canonicals and correct hreflang.
Record prompt sets, systems, dates, queries and qualified results.
Observe where your brand appears, not where you hope it appears.
Vysentra evaluates how a brand appears in AI-generated responses to a defined set of relevant questions. The analysis includes mentions, source references and comparisons with competing businesses.
Results can be compared across repeated tests to inform content and search decisions. The platform provides monitoring evidence; it does not guarantee placement, recommendation or citation.
Vysentra is Valanor's AI search visibility monitoring product. It tests defined prompts across systems including ChatGPT, Claude, Gemini and Perplexity, recording brand appearances, competitors and cited sources.
The monitoring is distinct from the optimization work. Findings can expose gaps in information architecture, evidence and page coverage. AI answers are variable, so measurements should be repeated and assessed alongside qualified demand.
Practical questions about scope, search architecture and measurement.
SEO focuses on search accessibility and relevance. GEO additionally examines how accurate information is interpreted in AI-generated answers. Technical SEO remains foundational.
No. Improve your existing information architecture, evidence and content where appropriate.
Use a defined question set, track mentions and sources across systems, and repeat the measurements over time.
No. Recommendations and citations depend on system behavior and cannot be guaranteed.
Not necessarily. Ownership and access to editorial and technical systems matter more than a specific team size.
Give each URL a distinct primary intent and connect related topics through meaningful internal links.
Discuss search visibility
We review the buyer questions, website structure and technical barriers that matter for qualified demand. Aleksandar Basara can discuss how to prioritize SEO, GEO and measurement.
Managing Director
aleks@valanor.co
+49 (0) 711 16 44 6 83
Lindenspürstrasse 22, 70176 Stuttgart
