AI Visibility Solutions

Does AI understand your company well enough to consider it for relevant queries?

We analyse how your company is understood, represented and classified in leading AI systems — and derive prioritised, traceable improvement measures from it.

AI Visibility Snapshot
Illustrative representation
AI systems reviewed
  • ChatGPT
    78
  • Gemini
    64
  • Claude
    71
  • Copilot
    55
  • Perplexity
    82
68
Score
AIVS – AI Visibility Solutions: Visibility for the AI Era
The problem

Vendor research is changing — quietly, but fundamentally.

Classic search remains a central channel. In parallel, AI-generated answers are emerging in which companies are named, compared or left out. Both coexist — with different mechanics.

Classic search

Users receive a list of indexed sources and choose for themselves. Visibility results from ranking, clicks and content quality.

AI-assisted vendor research

Assistant systems formulate a summarised answer, often with concrete recommendations. Anyone who is not clearly structured and publicly verifiable appears less often in that answer.

We assess this development objectively — without devaluing SEO or classic channels.

AIVS consultants analysing data dashboards in the office

Structured analysis: how your company is represented in AI systems.

Services

Three building blocks that build on each other.

Every service follows a documented methodology and delivers traceable results.

AI Visibility Audit

A structured assessment of how your company appears in relevant AI systems.

  • Scoping of relevant topics, regions and queries
  • Test queries across multiple AI systems
  • Assessment against defined criteria
Outcome

Management report with a visibility picture, strengths, gaps and prioritised fields of action.

AI Visibility Optimization

Implementation of the prioritised measures from the audit — together with your team or agency.

  • Derivation of concrete work packages
  • Alignment with existing teams
  • Iterative implementation along priorities
Outcome

A demonstrably improved basis for how your company is represented to AI systems.

Monitoring & strategic guidance

Recurring assessment of AI visibility and strategic interpretation of changes.

  • Defined review intervals
  • Comparable measurements over time
  • Regular reporting and sparring
Outcome

Clarity about development, competition and necessary adjustments — without marketing promises.

Method

Five steps. Documented. Traceable.

We do not evaluate single AI answers, but documented criteria across multiple test queries, different systems, public sources and competitive comparisons.

  1. 01

    Scoping

    Clarifying target markets, relevant topics, competitors and queries.

  2. 02

    Data collection

    Systematic test queries across multiple AI systems and languages.

  3. 03

    AI analysis

    Structured evaluation of the answers along defined criteria.

  4. 04

    Assessment

    Classification of strengths, gaps and risks in competitive comparison.

  5. 05

    Report & measures

    Management report with prioritised, economically sensible measures.

What goes into the assessment
  • Documented criteria instead of individual opinion
  • Multiple test queries per topic area
  • Several AI systems reviewed in parallel
  • Publicly accessible sources as a basis
  • Systematic competitive comparison
Audit report

This is what a management report looks like.

Clear, prioritised and prepared for decision-makers. Figures and examples are deliberately illustrative.

AIVSManagement Report — Q3
Illustrative representation — sample values, not a real client.
62
Visibility Score

Overall picture across all reviewed systems and topics.

Visibility per system
  • ChatGPT
    78
  • Gemini
    64
  • Claude
    71
  • Copilot
    55
  • Perplexity
    82
Assessment dimensions
  • Mentions in relevant queriesMedium
  • Subject-matter positioningStrong
  • Consistency of public sourcesGaps
  • Competitive positionRoom to grow
Prioritised measures
  • HighConsolidate core profiles and public references.
  • MediumStructure expert content for defined topic areas.
  • MonitorEstablish quarterly visibility measurement.
Leadership team discussing an AI Visibility report in a meeting room

Management-ready reports: clear results, prioritised measures.

For companies

Clarity about your own representation — before others define it.

Clarity

A reliable picture of how your company appears in AI systems.

Information quality

A basis for improving public information in a targeted way.

Competitive position

Comparison with relevant market players in a traceable form.

Risk reduction

Early detection of misrepresentations and information gaps.

Prioritisation

Clear recommendations on which measures make economic sense first.

Collaboration

Results that internal teams and agencies can use directly.

Two business partners shaking hands in a modern office

White-label collaboration: as partners, under your brand.

For agencies

A building block that complements your services — it does not replace them.

AI Visibility is a new, independent field. We deliberately work in partnership with SEO, web, digital and performance agencies.

Discuss a partnership
  • Professional cooperation as equals
  • Complementary project delivery along your roadmap
  • White-label collaboration under your brand
  • Protection of existing client relationships
  • Clear roles, clear responsibilities
  • Reports that fit into your client communication
About us

Personal responsibility. Traceable methodology.

Angelo Carlino
Angelo Carlino
Founder and Managing Director, AI Visibility Solutions

AI Visibility Solutions was founded to give companies an objective, methodologically sound approach to a rapidly changing field. We are not about quick promises, but about solid foundations: documented criteria, a transparent approach and results that enable decisions. Every engagement is driven by entrepreneurial thinking, direct accessibility and the willingness to name uncomfortable findings honestly.

LinkedIn profile
Working principles

What you can measure us by.

Transparency

Open disclosure of approach, limits and sources.

Traceable methodology

Documented criteria and repeatable review steps.

Realistic expectations

Clear communication of what is achievable — and what is not.

No guarantees

No promises regarding placements or AI recommendations.

Economic prioritisation

Recommendations prioritised by benefit and effort.

Cooperation

Collaboration with existing teams and agencies.

FAQ

Frequently asked questions.

AI Visibility describes how companies are understood, represented and considered in AI-based answer systems such as ChatGPT, Gemini, Claude, Copilot or Perplexity when relevant queries are asked.
Contact

Let's talk about your starting point.

We usually reply within one working day. Your details are used exclusively to process your enquiry.

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