DeepSynthesis / Lattice research network · AI Recommendation Intelligence

AI Visibility Report: HubSpot

What the AI assistants actually recommend, measured across 8 engines and 16 B2B categories. Snapshot 2026-06-19. This measures engine output on a dated capture, not product quality, and the rankings are not for sale.

HubSpot is the AI’s top pick in 5 of 16 measured B2B categories and invisible in 10. Even where it leads, the engines do not agree: at best 7 of 8 name it first.volatile

100
AI Visibility Score
Position-weighted, 0 to 100, across all engines and categories.
6 / 16
Categories present
Where at least one engine names it.
5
Categories it leads
Where at least one engine ranks it #1.
10
Categories invisible
Where no measured engine surfaced it.
The variance is the headline, not a footnote.

Where HubSpot is a top pick, on average only 45% of the engines that answered agree on it. This report grades that as volatile. A single-engine tracker would show you one of those views and call it your score. In this dataset, across all 16 categories, no tool is the unanimous pick of all 8 engines. The disagreement is not noise to average away; it is the real state of your AI visibility, and it is what every single-number tracker quietly hides.

Where HubSpot leads, and which engines disagree

Each row is a category where at least one engine ranks HubSpot first. The dissent column is the honest part: the engines that recommend a competitor instead, on the same date.

CategoryEngines that agreeEngines that pick something else
CRM7 of 8Gemini 2.5 Flash-Lite picks Salesforce
Marketing automation4 of 8Llama 3.3 70B via Groq picks Marketo
Gemini 2.5 Flash-Lite picks ActiveCampaign
Perplexity picks ActiveCampaign
Llama 4 Scout picks Marketo
Lead generation3 of 8Gemini 2.5 Flash-Lite picks SyncGTM
Perplexity picks Apollo.io
ChatGPT picks Apollo.io
GPT-OSS 120B picks Apollo.io
Qwen 3.6 picks Apollo.io
Email marketing2 of 8Llama 3.3 70B via Groq picks Mailchimp
Cohere Command-A picks Mailchimp
Gemini 2.5 Flash-Lite picks Klaviyo
ChatGPT picks ActiveCampaign
Llama 4 Scout picks Mailchimp
GPT-OSS 120B picks Mailchimp
Sales engagement2 of 8Cohere Command-A picks Outreach
Gemini 2.5 Flash-Lite picks Amplemarket
Perplexity picks Amplemarket
ChatGPT picks Outreach
GPT-OSS 120B picks Outreach
Qwen 3.6 picks Apollo.io

Where the AIs rank a competitor above HubSpot

These are categories HubSpot genuinely competes in, where the engines list it but put someone else first. This is the gap a buyer asking an AI sees before they ever reach your site.

CategoryYour rankRanked ahead of you
Customer support#8Zendesk, Freshdesk, Intercom
Email marketing#2Mailchimp
Sales engagement#2Outreach

Categories where HubSpot is invisible to the AIs

AI chatbotsAI copywritingGEO / AI visibilityLanding page buildersProduct analyticsProject managementSchedulingSEO toolsSocial media managementSurvey / forms

In these 10 categories, no measured engine surfaced HubSpot at all. Some may be outside your market; the ones inside it are pure lost recommendation share.

The number the trackers hide

Across all 16 categories, no single tool is the #1 pick of every engine. The "AI visibility" number a single-engine tracker shows HubSpot is one engine’s view on one date; this report shows all 8.

This snapshot is free. The tracker is the moving picture.

This report is one dated capture, given to you at no cost. AI recommendations move every run and every week. The AI Visibility Tracker keeps score for you:

Join the Tracker waitlist (from $99/mo) See it live and interactive

How this was measured

Each of 8 AI engines (Llama 3.3 70B via Groq, Cohere Command-A, Gemini 2.5 Flash-Lite, Perplexity, ChatGPT, Llama 4 Scout, GPT-OSS 120B, Qwen 3.6) answered the same buyer questions across 16 B2B and go-to-market software categories. Every recommendation is a recorded model output, canonicalized and scored by position-weighted frequency. Capture window 2026-06-19 to 2026-07-08.

The full dataset is published open under CC-BY-4.0 with DOI 10.5281/zenodo.20767878. This report states what the engines returned on the capture date. It does not judge product quality, and no vendor can buy a better number; the rankings are unpurchasable by design.