SolutionUpdated March 2026

AI content generation grounded in your data, not generic LLM output

Generate blog posts, case studies, emails, social content, and more from your actual product data and knowledge base. Every claim is traceable to a source document. Built for B2B companies where accuracy matters.

See Veritas

Generic AI content is a liability for B2B companies

ChatGPT and Jasper produce plausible-sounding content that is often wrong. For B2B companies where customers verify your claims, regulators read your documentation, and your reputation depends on accuracy, 'sounds right but is not' is worse than no content at all. You need content that is accurate, citable, and grounded in what is actually true about your company and products.

57%

Of B2B buyers say vendor content is often inaccurate

12+

Content types needed across a typical B2B marketing funnel

Hours

Per piece for manually researched, accurate B2B content

Growing

Regulatory scrutiny on AI-generated content claims

How Veritas generates accurate, cited content

Veritas builds a knowledge graph from your product data, customer data, documentation, and approved sources. Content is generated from what is actually true about your company. Every claim traces back to a source document. If a fact cannot be cited, it does not get generated.

Build your knowledge graph

Ingest your product docs, case studies, data sheets, and approved claims. Build a structured knowledge base of verified facts.

Configure content types

Set up templates and brand voice for each content type: blogs, emails, case studies, social posts, product descriptions, etc.

Generate with citations

Generate content grounded in your knowledge graph. Every claim links back to source material. Review and publish.

Personalize and distribute

Apollo.io integration for lead-aware personalization. Gamma integration for visual assets. Multi-channel distribution.

Delivered byVeritas

Key capabilities

Knowledge-graph-powered generation

Content generated from YOUR data, not general LLM knowledge. Accurate by design.

Citation backing

Every claim, stat, and assertion is traceable to a specific source document in your knowledge base.

12+ content types

Blogs, case studies, whitepapers, emails, social posts, product descriptions, landing pages, and more from one knowledge base.

Lead-aware personalization

Apollo.io integration generates content personalized to specific leads based on their company, industry, and role.

Brand voice training

Content matches your brand's tone, style, and terminology. Consistent voice across all content types.

Visual asset generation

Gamma integration for creating presentations and visual content alongside written content.

Results you can expect

12+

Content types from a single knowledge base

Cited

Every claim traceable to source documents

Zero

Hallucinated claims in production content

Hours

Saved per week on content research and creation

Real deployment

Knowledge-grounded content for a logistics technology company

Logistics & Supply Chain

The problem

A logistics technology company needed to scale their content output while maintaining technical accuracy. Generic AI content tools produced plausible but often inaccurate descriptions of their warehouse management features.

What we built

Deployed Veritas to build a knowledge graph from their product documentation, feature specs, and approved claims. Content generation is now grounded in verified product data with every claim traceable to source material.

Results

12+

Content types generated from single knowledge base

Cited

Every claim traceable to product documentation

Production

In use since February 2026

Our AI implementation process

Every engagement follows the same four-phase structure.

Scope

Map the workflow, define success criteria, lock deliverables.

Build

Weekly working demos. Direct channel with the build team.

Ship

Production deployment on your cloud with monitoring.

Scale

Optimize on real usage. Expand to adjacent workflows.

Learn more about The Optivus Method

Frequently asked questions

ChatGPT generates content from general training data. Veritas generates from your specific product data, documentation, and approved claims. The difference is accuracy: ChatGPT may generate plausible but incorrect claims about your products. Veritas only generates claims it can trace to your data.

Blog posts, case studies, whitepapers, email sequences, social media posts, product descriptions, landing page copy, sales enablement materials, investor updates, and more. 12+ content types from a single knowledge base.

Three layers: knowledge graph construction (only verified facts), citation backing (every claim traces to a source), and confidence scoring (low-confidence content flagged for review). If a claim cannot be supported by your data, it does not get generated.

Yes. Veritas is trained on your existing content to match tone, style, and terminology. The result is content that reads like your team wrote it, grounded in accurate data.

When generating a sentence like 'our platform reduces processing time by 60%', Veritas checks your knowledge graph for the source of that claim. If it finds a verified source (e.g., a case study, product spec, or approved metric), it generates the content and links the citation. If no source exists, the claim is not generated.

For your industry

AI for Professional Services AI for E-Commerce & Retail

Vendor comparisons

Veritas vs Jasper

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