Northwind CloudSample customer
B2B SaaS · 180 employees · Bengaluru · Global
Demo Lab / modelled programme scenario
From invisible in AI answers to a named default in the category
A mid-market cloud platform with strong classic SEO and near-zero presence in buying-intent AI answers rebuilt its source coverage around the prompts its buyers actually ask.
Sample dataModelled scenario — the company names and numbers here are illustrative examples of how a CiteRank programme is reported. They are not real CiteRank AI customers, and no result shown has been measured for a named client.
The challenge
- —Ranked page one for 400+ commercial keywords, yet assistants named three other vendors when asked for recommendations.
- —No shared definition of 'AI visibility' between SEO, content and demand-gen — so nobody owned the gap.
- —Sales heard buyer prompts on calls that never made it into the content plan.
What we ran
- —Built a 600-prompt tracking set from sales-call language, split by buying stage and region.
- —Ran weekly capture across all 8 engines and scored citation share per prompt cluster.
- —Mapped the third-party sources engines quoted instead, then prioritised the ones worth earning.
- —Cleaned entity and structured data so the brand resolved consistently across engines.
Before / after
Metric movement over six months
| Metric | Before | After | Change |
|---|---|---|---|
| AI Visibility Score | 31 | 68 | +37 pts |
| Prompts naming the brand | 14% | 52% | +38 pts |
| AI Citation Score | 22 | 61 | +39 pts |
| Engines with consistent presence | 2 of 8 | 7 of 8 | +5 engines |
ROI summary
What it was worth
₹-4.2 Cr
Assisted pipeline attributed to AI-sourced sessions
Modelled from CRM source data over two quarters.
−26%
Cost per qualified lead
Compared with the prior two quarters of paid acquisition.
4 months
Payback period
Programme cost against attributed pipeline value.
Illustrative modelling on sample data — not a projection of results for any specific brand.
Coverage
ChatGPTGeminiClaudePerplexityAI OverviewsCopilotGrokMeta AI
Vertical benches currently run 8 engines; full tracking covers all 8.
More scenarios
Modelled scenario
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