RECOMO · AI VISIBILITY

AI Visibility: How AI Sees and Recommends Your Company

AI Visibility: How AI Sees and Recommends Your Company

AI Visibility: How AI Sees and Recommends Your Company

AI Visibility Diagnostic turns scattered AI responses into a reproducible baseline: what the system understands, who it compares, who it recommends, and what public sources it relies on.

Buyers can choose a company before even visiting the website

Queries like “who should I choose for this task?” turn into vendor shortlists, comparisons, and recommendations. Diagnostics reveal where your company's positioning differs from what buyers actually care about.

Presence

Whether the company appears in relevant answers and shortlisted options.

Understanding

Whether the system accurately understands products, specialization, and constraints.

Grounds

Which public sources support or contradict the system's output.

An approach that separates signal from assumption

RECOMO builds a scenario panel, records testing conditions, and logs observed responses. This allows you to evaluate results as a study with clear constraints, rather than an advertising promise.

01

Question

We define the selection problem and user scenarios.

02

Dashboard

Select the companies, languages, markets, and systems to compare.

03

Verification

We save responses, verify key claims, and check sources.

04

Priorities

We provide an action list and verification steps.

What you get as a result

Baseline AI Visibility

A captured overview across scenarios, AI systems, markets, and companies for benchmark comparison.

Evidence map

Observed responses and public sources that support or contradict the company's positioning.

Priority Plan

Action items linked to the business issue and review criteria.

Constraints and Context

A clear description of AI output variability and why single observations should not be used to draw conclusions.

The process from the first question to the next decision

The work begins with a business question and concludes with a set of priorities that can be discussed, re-evaluated, and, if needed, scaled into a full research study.

01

We align on the exact AI response requirements for your selection task.

02

We build a benchmark of scenarios, companies, markets, and systems to ensure meaningful comparisons.

03

We run checks, save responses, and highlight key differences from sources.

04

We share our findings and determine whether you need a full audit, stronger public grounds, or ongoing monitoring.

Who the assessment is for

Ideal if

You manage B2B vendor selection, are expanding into a new market, evaluating competitors, or want to assess your company's presence in specific AI scenarios.

Not suitable if

Need a quick rating without clearing the question, a guaranteed spot in AI answers, or proof of revenue based on a single observation.

FAQ

What does the AI Visibility Diagnostic measure?

We capture AI system responses across agreed scenarios, benchmark the company's visibility against competitors, and review public sources. This establishes a baseline for decision-making, not a guarantee of future outcomes.

Is this an SEO audit?

No. While SEO and AI Visibility are related, they are not the same: here, we specifically examine how AI systems understand a company, include it in their shortlists, and justify recommendations.

What happens after the assessment?

You receive observations, constraints, priorities, and a method for re-verification. The next step is driven by data, not by revenue guarantees or guaranteed placement in AI responses.

Start with the question that matters most to validate

We will discuss selection scenarios, research scope, and the next measurable step—without promising guaranteed revenue or top spots in AI answers.