Kodec for SaaS
Buyers ask AI about your features, integrations, security, and pricing before they book. We make your site answer clearly, qualify demand, and route to sales with context.
SaaS command center snapshot.
Higher demo quality from informed buyers
Fewer lost deals from wrong feature claims
Stronger presence in comparison queries
A single bad answer can remove you from shortlist conversations before an AE ever gets involved.
AI Query
Best enterprise data warehouse platforms for financial services compliance
Observed Answer
AI lists Snowflake, Databricks, and BigQuery. [Your Platform] is not identified as a compliance-focused option.
Shortlist gets built without you, even when your product is a fit.
AI Query
Which SIEM vendors support multi-cloud real-time threat detection?
Observed Answer
AI lists Splunk, Datadog, and Elastic Security. [Your Product] is described as limited to single-cloud deployments.
Security teams assume you cannot solve their use case and move on.
Most SaaS teams begin with intake and qualification, then layer in product-truth infrastructure and automation.
Start Here
Capture use case, stack, urgency, and buying intent before the demo request hits your team.
Add Next
Structure capabilities, integrations, pricing context, and proof so AI and buyers get the same answer.
Grow Into
Handle first-pass technical questions and route high-intent buyers to the right rep.
When AI cites your real capabilities, first calls start at fit and value, not re-explaining basics.
Your product appears in the questions where intent is highest and purchasing decisions are forming.
AEs receive problem, stack, timeline, and priority notes before discovery starts.
Evidence from live buyer queries, qualification flow performance, and routed handoff quality.
High-intent query visibility before and after deployment.
Before and after answer-quality comparison.
Qualification and demo-quality trend across routed inbound.
Intake and routing pipeline view.
Operational snapshot of pipeline and answer-quality signals.
Pipeline operations and evidence snapshot.
Step 1
We map where AI gets your product wrong and which questions impact pipeline most.
Step 2
We design your intake and content-truth model in preview before anything goes live.
Step 3
We launch on your current site and systems without forcing a redesign.
Step 4
We track answer quality, citation lift, and downstream demo quality changes.
SEO drives traffic. This layer improves what AI says about your product and how effectively your site qualifies demand.
Yes. We structure capability and integration facts so technical queries map to verified answers.
Yes. Most teams start with one motion, prove lift, and expand by segment or product.
Diagnosis is immediate. Initial deployment is typically 3-4 weeks. Most teams see measurable signal shifts inside 45 days.
We will show exactly where your product is being misrepresented, where your funnel drops demand, and what to fix first.
