A(ccount)I for enterprise tech sales.
Walk into every account prepared. Run a landscape in 90 seconds.
Run a free landscapeThe rep's reality
You already know what you should do before every meeting.
You just don't have time to do it.
Between Salesforce updates, forecast calls, weekly pipeline reviews, customer escalations, and the Slack messages piling up while you're on your last call - when exactly are you supposed to prep the next account? Most reps do deep research on their top five deals and wing the rest. Not because they don't care. Because there aren't enough hours.
FSL does the research in 90 seconds. Account name in. Technology stack, positioning play, partner entry points, and talk tracks out. Before the call, not after.
Existing rep
25 accounts. 40 hours a week. Do the math.
You know your top 5 cold. The rest get whatever you can pull up on the drive to the meeting. FSL makes every account look like one of your top 5.
Run a free landscape →New to the territory
Your manager wants a forecast. You have 25 accounts and know none of them.
New rep, new company, inherited territory - it doesn't matter. You need to know what 25 accounts run, who the players are, and where your product fits. FSL compresses months of territory learning into days.
Run a free landscape →For Sales Teams
Full Stack Landscape
Map any account's technology footprint in 2 minutes. Get positioning plays, partner entry points, and talk tracks tailored to your company and the account.
- 7-layer stack mapping
- Confidence-tagged enrichment
- Talk tracks and discovery questions
Acme Corp
Full Stack Landscape
Infrastructure
Data
Security
Identity
The Play
Lead With: Cortex XDR > CrowdStrike Replacement
CrowdStrike renewal is coming up in 4 months. Their security team is evaluating next-gen XDR platforms that integrate with existing SIEM workflows and provide better...
Partner Entry Points
Snowflake + dbt: Joint Data Platform Play
Acme is running Snowflake with dbt for transformations. Position the joint solution for real-time analytics and data sharing. Their data team is expanding and evaluating...
Discovery Questions
3 Layers Missing Coverage
No visibility into Compute, Applications, or AI layers. These gaps represent blind spots in the account map. Discovery questions should focus on container orchestration...
Talk Track
Opening: Security Renewal Timing
"I noticed your team has been evaluating endpoint security options. With CrowdStrike coming up for renewal, how are you thinking about consolidating your security...
Also Position
Secondary Products to Mention
Based on their AWS infrastructure and Okta identity stack, also position: Cloud Security Posture Management, Identity Threat Detection, and Infrastructure as Code scanning...
M365 Copilot Deployment
Architecture Assessment
Control Requirements
Identity
Conditional Access policies required
Data
DLP classification before Copilot access
Governance
Acceptable use policy for AI-generated content
Stakeholder View
Copilot licensing costs scale with seat count. Validate adoption metrics at 90 days before expanding beyond the pilot group. Budget for change management alongside technical deployment.
Require Conditional Access policies before any Copilot rollout. Audit DLP classification coverage across SharePoint and OneDrive. Review data residency implications for Copilot processing.
Evaluate Graph API integration points for custom Copilot extensions. Ensure tenant isolation for multi-environment deployments. Plan capacity for increased Azure OpenAI throughput.
For Technology Leaders
Signals
Evaluating a new platform, tool, or initiative? Describe it and get a readiness assessment - what must be true, what to watch for, and what to ask - before you commit.
- Pre-decision readiness assessment
- Tailored to your role
- Vendor-neutral by design
Before your next call
You have three options.
Every rep researches accounts. The question is how much time you burn and how much you miss.
Option A
Do it yourself
- ×2-4 hours per account researching LinkedIn, press releases, job postings
- ×No structured output - notes scattered across tabs and docs
- ×Miss partner angles, competitive signals, and stack gaps you didn’t think to look for
- ×Start from scratch on every account, every time
Most reps do this for their top 5 accounts. The other 95 get nothing.
Option B
Ask an AI chatbot
- ~Gets you 60-70% there - but you have to prompt-engineer every time
- ×Hallucinates product names, SKUs, and competitive dynamics
- ×Doesn’t know your product portfolio, partner ecosystem, or positioning playbook
- ×No memory - forgets your accounts next week. No team visibility. No history.
It's a conversation. Not a system.
StackFacts
Full Stack Landscape™
- 2 minutes. Account name in, positioning play out.
- 7-layer tech stack mapped with talk tracks, partner entry points, and discovery questions
- Built-in intelligence layer catches what AI gets wrong - product names, vendor relationships, competitive dynamics
- Remembers your accounts. Tracks renewals. Gets smarter with every rep on your team.
$25/month. One closed deal pays for 10 years.
The real comparison isn't StackFacts vs. ChatGPT. It's doing account prep for every account vs. only doing it for the deals you already know about. Most reps walk into 80% of their meetings without structured positioning. FSL makes the other 80% look like your best 20%.
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Our intelligence engine combines what you know with public data enrichment and industry pattern matching. Every data point is tagged with its source and confidence level.
Free for architects. $299/year for reps.
See pricing