Zeer
SaaStr AiSaaStr Ai buying intent
15 tracked signals — top 9 topics below — Marketing is carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a SaaStr Ai employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
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We track the full taxonomy across every account in the graph — including themes not shown on this page.
Top accounts researching SaaStr Ai
names withheld on the public pageCompanies whose people mention SaaStr Ai in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning SaaStr AiReal public activity that surfaced SaaStr Ai in a tracked topic. Not a sentiment score — just what people actually wrote.
We run 20+ AI agents at SaaStr. They've generated over $7M in revenue. We spend $300K a year on AI agents. But here's what I've learned after 18+ months of running agents across every part of our go-to-market: The single biggest variable in whether an agent works is not the model. Not the prompt. Not the vendor. 🙋♀️ It's whether you get a great Forward Deployed Engineer helping you set it up. An FDE. A human from the vendor who sits with you, gets into your data, learns your workflows, fixes the broken stuff, and makes the agent work in your specific environment. Every single agent we've deployed that works well had a strong FDE behind it. Every single agent that underperformed either had no FDE or had one who was stretched across 50 other customers. Let me give you a real example. We deployed an AI SDR tool. Decent product. Smart team. But the setup was: here's your login, here's a knowledge base article, good luck. The first emails it sent were unusable. Tone was wrong. Context was wrong. It was hallucinating features we don't have. Without someone from the vendor sitting with us and fixing those issues in real time, we would have churned in 30 days. We got it working. But only because we have an internal team that treats managing AI agents like managing humans. We spend 30+ minutes every single day reviewing output, tuning prompts, fixing edge cases. Most companies don't have that. And most vendors aren't giving them FDEs to compensate. The irony is brutal: the companies that need FDEs most (SMBs, startups, lean teams) are the ones least likely to get them. One major AI vendor we use now only provides FDEs to companies with 5,000+ employees. Everyone else gets self-serve onboarding and a help center. Meanwhile, Accenture just committed to training 30,000 people on Anthropic's platform. Salesforce tripled its FDE team. OpenAI grew theirs from 2 to 52 in a year. All of that capacity is going to enterprises. So if you're a 50-person startup wondering why your AI agents aren't performing like the case studies say they should, before you blame the model or the prompts, ask yourself one question: Did you get a real FDE? Or did you get a login and a Loom? That's probably your answer.