Case Study  /  B2B services  /  90-Day AI Visibility

From absent to cited in ninety days.

How a B2B services firm built AI visibility from a standing start and drew real traffic from the answers.

56.67% mention coverage · 2,971 sessions from AI answers

Sector
B2B services
Engagement
AI Visibility Operating System, 90 days, no prior AI strategy
Focus
Presence, Authority & AI-referred traffic
Tracked surface
ChatGPT · Gemini · Perplexity · Google AI Overviews · Google AI Mode

In short

A B2B services firm with no AI-search strategy went from absent to cited in ninety days. Across the tracked prompts and five AI engines, the firm reached 56.67% brand mention coverage, a 40% citation rate, an average AI ranking of 2.56, and a 7.75% share of voice, and the visibility drew 2,971 sessions from AI answers over the same window, all from a standing start.

56.67%
Brand Mention Coverage (M)
Named across the tracked prompts
40%
Citation Rate (C)
Sourced in two of every five answers
2.56
Average AI Ranking (R)
Top-tier position when named
7.75%
AI Share of Voice (SOV)
Against the tracked competitor set

01The starting point

This firm came in with no AI-search strategy of any kind. It had never looked at how ChatGPT, Gemini or Perplexity described its category, whether it was named when buyers asked, or who got cited in its place. The question it put to us was direct: in ninety days, can a focused programme move us from absent to cited, and does that visibility actually send anyone to the site?

02What we built

Growth.pro stood up the firm's AI Visibility Operating System and ran it through the PAVA Framework, on the AI Citation Enablement practice. The work was about making the firm's real expertise easy for AI to find, verify and attribute, on the brand's own side of the equation rather than against how the models evaluate.

P

Presence

We fixed the entity layer first: one accurate, consistent account of who the firm is and what it does, made legible across the sources AI reads, with clearer category descriptions so the models had something stable to anchor to.

V

Visibility

We ran a prompt-level gap analysis across the firm's high-value B2B decision queries and rebuilt the core service pages so the answer to each question was clear and easy to extract, rather than buried.

A

Authority

As the foundations held, the firm moved from the occasional mention toward being cited as a source, with content structured to increase citation eligibility and a deliberate balance between owned and third-party citations.

M

Amplification & measurement

The whole programme ran on continuous measurement through our proprietary measurement infrastructure, tracked weekly across the five engines over the ninety days, connecting AI mentions to actual sessions and key events.

AI Visibility Report snapshot showing Brand Mention Coverage 56.67%, Citation Rate 40%, Average AI Ranking 2.56 and AI Share of Voice 7.75%, consistently within the top three across tracked prompts.
Fig. 01Results snapshot: Brand Mention Coverage 56.67 percent, Citation Rate 40 percent, Average AI Ranking 2.56, AI Share of Voice 7.75 percent, consistently within the top three across tracked prompts.

03The results

Inside the ninety-day window, from no prior AI presence, the firm reached:

  • Brand Mention Coverage of 56.67% across the tracked prompts.
  • Citation Rate of 40%, explicitly sourced or linked in two of every five answers.
  • Average AI Ranking of 2.56 when named.
  • AI Share of Voice of 7.75% against the tracked competitor set, with full five-of-five coverage on priority queries.

The visibility did not sit still on a dashboard. Over the same window the firm drew 2,971 sessions from AI answers, with 2,093 engaged sessions, a 70.45% engagement rate and 113 key events such as CTA clicks and conversions.

AI-driven traffic impact chart showing 2,971 AI sessions, 2,093 engaged sessions, a 70.45% engagement rate and 113 key events over the 90-day window.
Fig. 02AI-driven traffic impact: 2,971 AI sessions, 2,093 engaged sessions, a 70.45 percent engagement rate and 113 key events over the window.
Traffic breakdown by AI engine showing ChatGPT leading with 2,642 sessions, about 88.9% of the total, with Gemini up 263%.
Fig. 03Traffic breakdown by engine: ChatGPT led with 2,642 sessions, about 88.9 percent of the total, with Gemini up 263 percent.

04What it means

The outcomes that matter in AI search are Mention, Citation and Recommendation. In ninety days the firm went from absent to named in more than half of its category answers and cited in two of five, with the traffic and engagement to show the visibility was real rather than cosmetic. Recommendation, the suggested-choice position, is not a metered number; it is what a brand earns as its standing deepens, and the trajectory here pointed that way. For a firm that started with nothing in AI search, ninety days was enough to stop being invisible.

Key questions

Can a B2B services firm build AI visibility from scratch in 90 days?

Yes. From no AI-search strategy, this firm reached 56.67% mention coverage, a 40% citation rate, an average AI ranking of 2.56, and a 7.75% share of voice across five engines within ninety days.

Did AI visibility send real traffic to the site?

Yes. Over the same ninety days the firm drew 2,971 sessions from AI answers, real traffic arriving from the engines rather than from traditional search.

Which AI engines were measured?

ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, tracked weekly through proprietary measurement infrastructure.

Measurement: AI brand mention and citation rates across tracked category queries on ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, with AI-referred traffic via analytics, through Growth.pro's proprietary measurement infrastructure. Client anonymised pending naming permission.

See where your brand stands in AI search.

A complimentary AI Visibility Audit benchmarks your brand across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode against your top three category rivals.

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