Real scenarios • Illustrative examples

What AI visibility looks like
in practice

These scenarios show how marketing teams across industries are using VibecodeAEO to discover their AI search blind spots — and close them before competitors do.

These are illustrative scenarios based on common patterns we see, not named client case studies.
B2B SaaS • Enterprise ~400 employees • Series B +43 points AI Visibility Score in 90 days

“Our Google rankings were fine. We couldn’t figure out why enterprise deals were stalling early.”

A Series B SaaS company selling workforce management software had strong SEO metrics — page-one Google rankings for their core keywords, a Domain Authority of 64, and consistent organic traffic growth. But their enterprise sales team was reporting an unusual pattern: deals were reaching the demo stage less often, and discovery calls were starting with prospects who had already formed a shortlist that didn’t include them.

Before VibecodeAEO
12%
AI citation rate
Appeared in only 12% of ChatGPT responses when buyers asked about enterprise workforce management software. Absent from Perplexity entirely. Gemini described them as “a newer option with limited enterprise credentials.”
After 90 days
55%
AI citation rate
Now cited in 55% of relevant ChatGPT responses. Perplexity includes them in every top-3 recommendation. Gemini’s description updated to reflect enterprise client base. AI Visibility Score moved from 28 to 71.
+43
AI Visibility Score points gained in 90 days
3×
Increase in AI citation rate across all engines
4
AI engines now actively citing the brand
“We spent 18 months optimising for Google and had no idea that the research phase had moved. Our prospects were asking ChatGPT about us before they ever reached our website — and we were invisible in that conversation. VibecodeAEO showed us exactly what was happening and what to change.”
VP of Marketing, B2B SaaS company (illustrative)

What changed in 90 days

Entity profile strengthened
Updated Wikipedia presence, Wikidata entry, and Crunchbase profile to use consistent brand language that AI engines could reliably learn from.
Category definition content published
Published three long-form pieces that defined their category and positioned the brand as an authority — content structured specifically for AI citation (not just Google ranking).
Third-party mention strategy
Secured consistent brand mentions in 12 industry publications and analyst reports, increasing the volume of trusted third-party sources AI engines could draw on.
Structured data implementation
Added comprehensive schema markup to their website — Organisation, Product, FAQ, and HowTo schemas — giving AI engines cleaner structured information to cite.
Professional Services • Consulting ~60 employees • Independent firm First board presentation on AI visibility delivered

“Our board asked if we appear in AI search. We had no idea how to answer that question.”

A mid-sized management consulting firm had built a strong Google presence over 10 years — consistent blogging, strong backlinks from industry publications, and page-one rankings for their core service terms. When a board member asked at the quarterly review, “Are we appearing when clients ask AI assistants about consultants in our space?” — the marketing lead had no answer. No metric. No data. No framework to even approach the question.

Before VibecodeAEO
0
AI metrics tracked
No visibility into AI search performance whatsoever. Could not answer basic questions about citation rate, AI sentiment, or competitive positioning in AI responses. Board question went unanswered for two quarters.
After onboarding
38
AI Visibility Score
Established a baseline AI Visibility Score of 38/100. Discovered they were being cited in 29% of relevant ChatGPT queries but completely absent from Perplexity. Delivered first AI visibility board report within two weeks of signing up.
2 wks
Time from signup to first board-ready AI visibility report
29%
ChatGPT citation rate discovered at baseline — a starting point, not the end
Q1 2026
First quarter with AI visibility on the board dashboard
“The most valuable thing in the first week was not the score itself — it was being able to walk into the board meeting and say, ‘here is the answer to your question, and here is how we are going to improve it.’ That shift from ‘we don’t know’ to ‘we are tracking and acting on it’ changed the conversation completely.”
Head of Marketing, Management Consulting Firm (illustrative)

What the first 30 days looked like

Baseline established across all AI engines
VibecodeAEO ran the firm’s brand across 200+ queries in ChatGPT, Gemini, Perplexity, and Claude to establish a precise citation rate and visibility score baseline.
Competitive gap analysis delivered
Ranky AI identified three competitors being cited 2–4x more frequently and provided a detailed breakdown of why — giving the team a clear improvement roadmap.
Board presentation pack generated
One-click PPTX export delivered a branded, executive-ready presentation showing AI Visibility Score, competitive benchmarking, and a 90-day improvement plan — ready for the board.

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