Mini Case Study #2: HubSpot — Applying PSOS™ Under the AIVO Standard v3.0

Editorial Board

13 Sep 2025 • 1 min read

Strong niche visibility

Abstract
The second in our series of mini case studies applying the AIVO Standard’s Prompt-Space Occupancy Score (PSOS™), this article examines HubSpot. As AI assistants increasingly shape software discovery, HubSpot offers a lens into how SaaS brands are recalled across models and prompts.

Case Study: HubSpot
Prompts tested: best CRM for small business, best inbound marketing platform, affordable CRM, marketing automation, sales enablement.
Models: ChatGPT, Gemini, Claude, Perplexity.
Methodology note: Scores are based on five prompts tested across four models, measured for frequency, persistence, decay adjustment, and consistency.

Results

HubSpot’s PSOS™ Score: 88.1/100
✔ Strong recall in small business and inbound marketing queries
✔ Consistent top-3 placement in ChatGPT and Perplexity
✘ Weaker presence in enterprise CRM prompts, where Salesforce and Microsoft Dynamics dominate
✘ Lower persistence in Gemini for sales enablement queries

Breakdown

Frequency: 85%
Persistence: 92%
Decay Adj.: 0.86
Consistency: 95%
PSOS = 88.1/100

Interpretation
HubSpot demonstrates strong niche visibility: it is reliably recalled for SMB- and inbound-oriented queries, reinforcing its brand positioning. However, the weaker footprint in enterprise-oriented prompts suggests a structural limitation. In AI-driven discovery, absence from those queries reduces HubSpot’s chance of being shortlisted by larger buyers, leaving incumbents like Salesforce more likely to capture enterprise mindshare.

Closing
HubSpot’s high PSOS underscores the advantage of clear category alignment, but also highlights the risk of narrow visibility. SaaS firms that rely on assistants for discovery must ensure balanced prompt coverage across both core and aspirational segments.

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