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Case study

B2B entity resolution and identity data infrastructure

From 3.5% visibility to first in the category

Its visibility position among the companies in the tracked category.

ChatGPTGoogle AI OverviewsGoogle GeminiClaude
The public source does not name individual tracked engines. These logos show the wider AI-search platforms Schmitdy works across, not measured platforms for this study.
Strongest result

After around two and a half months

1st

Tracked category rank

Moved from 10th of 11 to first in the tracked comparison set.

10th of 11Starting point
1stLatest reading
Another result

After around two and a half months.

23.2%

AI visibility

The share of tracked AI answers that name the company.

3.5%Starting point
23.2%Latest reading

AI visibility reached 23.2% and the tracked category rank reached first. The programme opened public crawl access, strengthened technical and buying content, and broadened the independent sources that help AI systems understand and compare the category.

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By Marco Lobo
Updated

The results

What changed?

AI visibility23.2%

From 3.5%

The share of tracked AI answers that name the company.After around two and a half months.
Share of voice22.1%

From 4.4%

The company's share of all tracked brand mentions in its comparison set.After around two and a half months.
Category rank1st

From 10th of 11

Its visibility position among the companies in the tracked category.After around two and a half months; category ranking uses a separate tracking view.
The results at a glance
MeasureStarting pointResult
AI visibilityThe share of tracked AI answers that name the company.6.7 times the starting levelAfter around two and a half months.3.5%23.2%
Share of voiceThe company's share of all tracked brand mentions in its comparison set.5.1 times the starting levelAfter around two and a half months.4.4%22.1%
Category rankIts visibility position among the companies in the tracked category.Ranked by visibilityAfter around two and a half months; category ranking uses a separate tracking view.10th of 111st

Measurement window

What exactly was measured?

Baseline
Starting point: the first agreed audit.
Current comparison
After around two and a half months. Visibility and category rank use separate tracking views.

Work

What changed during the programme?

  1. Opened public crawl access

    Public crawl access replaced a login barrier on important explanatory material.

  2. Answered technical buying questions

    Technical explainers, buyer guides, comparisons and alternative pages filled measured content gaps.

  3. Built independent category signals

    Editorial, Medium, LinkedIn, YouTube and community sources reinforced the same category themes.

Inside the programme

The work behind the result

Three kinds of work shaped the programme. Each is described in more detail below.

  1. Step 1Opened public crawl access
  2. Step 2Answered technical buying questions
  3. Step 3Built independent category signals

Prompt set

Did the prompt set stay fixed?

No. The released record says the live prompt set matured during the programme. The start and end values show programme direction, not a frozen-denominator experiment.

Engine coverage

Which engines were included?

The cleared public source describes daily, multi-engine AI search tracking. It does not name the individual engines, so this page does not add them.

Definitions

How are the metrics defined?

AI visibility
The share of tracked AI answers that name the company.
Share of voice
The company's share of all tracked brand mentions in the category.
Category rank
The company's visibility position within the tracked comparison set.

Interpretation

What are the limits of this result?

  • The prompt set changed, so the baseline and current window are directional programme measures.
  • The latest weekly result and the trailing 30-day rank use different windows.
  • The public record reports 41,034 identified agent requests after tracking began, but no earlier like-for-like baseline exists.
  • This is an observed result. It does not prove that one action caused the full change or that another company will repeat it.

Your questions

What does this mean for your business?

How much did AI visibility increase?

AI visibility rose from 3.5% to 23.2% after around two and a half months. That is 6.7 times the starting level.

What does first in the category mean?

First means the highest visibility position in the tracked comparison set. The company moved from 10th of 11 at baseline to first in the completed trailing 30-day view.

What changed during the programme?

Important explanatory material became publicly crawlable. The programme also added technical explainers, buyer guides, comparison pages and independent sources around the same category themes.

How can a niche B2B company become easier for AI systems to recommend?

Start by making core explanations publicly crawlable. Then answer technical and buying questions directly, add useful comparisons, and develop credible independent sources that reinforce the same category position.

How should a B2B team measure AI visibility?

Track the share of relevant AI answers that name the company, its share of all tracked category mentions, and its position inside a defined competitor set. Keep the prompt set and measurement window beside every result.

Next step

Start with your own baseline

The free audit measures your current visibility, share of voice and competitive position before any work is recommended.

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