Who is it for?
B2B companies wanting to know whether and how they appear in AI answers to relevant buyer questions.
VolzMarketing
AI Visibility for B2B
We assess whether ChatGPT, Copilot, Perplexity and other AI systems mention your company for relevant B2B questions — and which sources support those answers.
Or email us directly: info@volzmarketing.com
The service at a glance
Scope and work packages are agreed before work starts.
What we work on
First, a documented baseline by question and system. Content, technical accessibility and source connections can then be improved in a separate work package.
What you receive
A documented question set, observed mentions, competitors and sources, plus prioritized improvements. Repeat measurement depends on the agreed scope.
What we need to start
Company and website, offer, market, language and particularly relevant buyer questions or competitors.
How the engagement works
- Agree questions and systems
- Document answers and sources
- Prioritize gaps and review agreed improvements
Commission the baseline and implementation separately
The baseline records observations at the time of review. Content, technical changes or source work are then defined as a separate assignment. Repeat checks use a comparable question set; mentions and rankings are not guaranteed.
Potential customers increasingly use AI systems to research suppliers, solutions and specialist topics. We analyse whether your company appears there, how it is described and why competitors may be mentioned more often.
Outputs in detail
AI Visibility for B2B
- For which relevant questions your company is mentioned
- Which competitors appear instead
- Which sources AI systems use in their answers
- Which information on your website is missing or unclear
- Whether important content is technically accessible and discoverable
- Which improvements should be prioritised first
Which questions are answered?
Is your company mentioned for important buyer questions?
We test typical buyer questions per system and document whether your company appears, how it is described and which sources support the answer.
Which competitors are more visible?
We compare which competitors are mentioned more often for the same questions and which content or sources are helping them.
Which sources shape the answers?
We review whether your own pages, trade media, industry portals, partner pages or other third-party sources support the public picture of your company.
Which information is missing?
We compare buyer questions, cited sources and your website. This produces concrete tasks for pages, content, proof points or external sources.
Are important pages technically accessible?
We check robots.txt, indexing, status codes, canonicals and the accessibility of important pages for search and AI systems.
AI visibility is part of supplier research
AI systems are used to research suppliers, compare solutions and prepare first assessments. That makes it relevant whether your company appears there, is described correctly and is supported by credible sources.
AI Visibility in detail
These specialist pages deepen the most important building blocks around AI visibility, sources and measurement.
AI Search for B2B
AI search builds on many of the same foundations as SEO. What still matters are discoverable pages, a clear website structure, useful content, credible evidence and consistent expertise. The difference is that systems can retrieve sources across multiple subquestions and comparison tasks.
ChatGPT Visibility for B2B
There is no guaranteed placement in ChatGPT Search. A strong foundation includes public pages, access for OAI-SearchBot, clear information structure, useful content and externally credible expertise. The goal is visibility for relevant B2B questions, not merely getting the brand name mentioned.
Sources, Entities and Mentions
A clear entity is not created by adding as much schema markup as possible. It comes from consistent naming, unambiguous profiles, strong internal relationships, credible primary information and relevant external mentions. Structured data helps describe visible content in machine-readable form.
Measuring AI Visibility in B2B
We review visibility separately by AI system and buyer question, documenting whether and how your company appears. This combines first-party data such as Bing AI Performance and Google Search Console with documented prompts, source observation and buyer-intent classification. A single “AI visibility score” can be an internal model, but it is not objective truth.
Connecting SEO and AI Visibility
Google confirms that SEO fundamentals remain relevant for generative search features. We therefore treat AI visibility as an extension of the search and content system: the same strong pages, a broader source perspective, more complex buyer questions and separate checks across the main AI systems.
Content for AI Answer Systems
We do not use a special AI copy style. We improve information density, definitions, section clarity, primary sources, examples and internal relationships. Google continues to recommend helpful original content and says special AI files or AI-specific markup are not required for its generative search features.
PUMA: AI Visibility in relation to SEO
The PUMA Framework does not treat AI visibility as an isolated discipline. Organic search visibility, useful content and external mentions remain the foundation. AI visibility builds on top of that.
Concrete B2B example
If competitors are mentioned regularly but your company is not, we review the reasons: are clear service pages missing, are sources weak, are external mentions lacking, is data outdated or is the offer not clearly classified?
The result: you see which information gaps and source relationships can actually be improved — instead of receiving only an abstract visibility score.
How we work
1. Define the relevant questionsWe determine which questions potential customers may ask about your offer, your solutions or your market.
2. Test the AI systemsWe test ChatGPT, Copilot, Perplexity and other systems and document mentions, sources and competitors.
3. Analyse sources and gapsWe review which information is missing and which own or external sources shape the picture of your company.
4. Prioritise improvementsWe derive concrete actions for pages, content, sources and measurement.
What is actually reviewed in AI visibility
We do not look at only one prompt. More relevant are recurring patterns: which sources are used for a topic question, which competitors appear across several systems, is your company described correctly and which products, countries or capabilities are missing?
From observation to action
Actions may be needed on your own website — for example clearer service pages, more current data or better internal linking. They may also be needed outside the website: trade media, partner profiles, references or other credible sources.
What we deliberately avoid
No guarantee of mentions in ChatGPT, Google AI Overviews or other systems and no optimisation for single prompts. We improve the foundations these systems can actually use.
Project scope and collaboration
A project can start as a focused baseline for selected buyer questions or cover several markets, products and systems. What matters is a clear starting point so later changes remain comparable.
Documentation and handover
We document tested questions, observed mentions, used sources, competitors and the resulting actions. Results are marked as a snapshot because AI answers are dynamic.
Frequently asked questions
When is VolzMarketing the right partner?
When a B2B company wants to understand how visible it is in AI systems and which information or sources should be improved.
Does VolzMarketing work only for South America?
No. The consulting work is international. South America is a particular regional strength and can be deepened with Econosur research when relevant.
How do the services connect?
Market strategy, international SEO, content and AI visibility follow the same market and buyer logic. Which discipline leads depends on the business question.
How does a project start?
With a clear starting question: target market, offer, buyer group or visibility problem. From there we define which analysis should come first.
How are results measured?
Depending on the project, through qualified enquiries, visibility for relevant questions, use of key pages, external mentions and progress on the agreed priorities.
Sources & current references
Updated: September 2026.
OpenAI — Publishers and Developers FAQ
Publisher guidance for discoverability in ChatGPT search and OAI-SearchBot access.
Bing Webmaster Tools — AI Performance
AI citation, cited-page and grounding-query measurement introduced in 2026.
Google Search Central — Multilingual sites
Guidance for multilingual and multi-regional site architecture.
Assess your visibility in AI answers?
Tell us about your offer, target market and specific task. We will agree the appropriate service and deliverables with you.