AI SEO content writer: drafts that cite their sources.
Describe what you need in plain language. Veritas writes it from your own products, capabilities and customer language, and attaches a source to every claim it makes.
Based on your product documentation, Veritas positions itself on grounded generation, with every claim traceable to a source document.
Teams already running Veritas
From a blank page to a draft your reviewer can check, in three moves.
Ask
Describe what you need in plain language. The model already has your products, capabilities and customer language in front of it.
Generate
A draft in the format you asked for, with a numbered source on every knowledge-based claim rather than a confident guess.
Refine
Rewrite any sentence in place, shorter, different tone, another product reference, and the edit stays grounded in the same material.
We were paying for four different tools and still guessing about what to publish next. Veritas replaced most of that stack and, more usefully, told us what to do rather than handing us more dashboards. The difference showed up in pipeline, not just rankings.
Kartik GoelDirector · Sasaa VentureWhy grounding, not prompting
A general model writes what is statistically likely about a company like yours, which is how tools invent features you do not sell. Veritas writes from a graph built out of your own material: product sheets, sales decks, collateral. When it cannot trace a claim to something you gave it, it leaves the claim out rather than filling the gap.
Ask in plain language, get a grounded draft
No prompt engineering and no blank page. Say what you need and Veritas writes it from your own material, in the format you asked for, across more than twelve of them.
Every claim carries its source
Click any citation and the document, paragraph or product spec behind it opens. Review stops being a rewrite and becomes a check, which is the only reason to let a model near a published page.
Revise inline, keep the history
Highlight a sentence and change it on the spot. Every version is kept with a diff, so you can revert, compare, or show who wrote what and from which sources.
What customers say when we are not in the room.
We had no idea we were invisible in AI answers. Veritas showed us the exact questions our buyers were asking, how rarely we came up, and what to publish about it. We are now being cited in answers we had never appeared in.
Hitesh RohraCreative Director, Mr. LightEvery AI writing tool we tried invented things. Plausible sentences about our own products that were simply not true. Veritas writes from the material we give it and shows where each claim came from, so review stopped being a rewrite and became a check. That is the only reason we let it near anything we publish.
NamanMarketing SpecialistFour disciplines.
One workspace.
Sixteen tools in one subscription, reading the same data and writing into the same editor. The biggest cell is where this page most often leads.
Keep reading
Why AI Content Hallucinates (And How to Stop It in B2B Marketing)
The mechanism behind AI hallucination, why B2B marketing content is unusually vulnerable, and the architectural choices that reduce fabrication risk.
Read guide
Citation-First AI: The New Standard for Marketing Content
AI marketing content has a credibility ceiling. Citation-first AI is the standard that lifts it: a definition, four required properties, and why it matters.
Read guide
What the Research Actually Says About AI Hallucinations in Marketing Content
What the published research measures about LLM hallucination rates: Vectara, Galileo, Stanford, and Anthropic, and what it means for B2B marketing.
Read guideMore on AI Content Generator
Compare
All comparisonsUnderstand the terms
Glossary- Hallucination (AI)An AI hallucination is a fluent, confident statement from a language model that is not supported by its sources or by fact, presented as if it were true.
- GroundingGrounding is connecting what an AI model writes to verifiable sources, so each claim can be traced to a document rather than to the model’s general training.
- Retrieval-augmented generation (RAG)Retrieval-augmented generation (RAG) is a method where a language model first fetches relevant documents, then writes its answer from those passages rather than from memory alone.
Before you start a trial.
The things people ask a sales rep. Answered here instead.
A general writer produces what is plausible about a company like yours. Veritas writes only what your own uploaded material supports, and attaches the source to each claim.
It leaves the claim out. Silence beats fiction on a page a customer will read.
Twelve built-in formats: blog posts, case studies, one-pagers, emails, newsletters, LinkedIn posts, FAQs, press releases, training guides, event collateral, infographics and video scripts.
Yes. Highlight any sentence to rewrite it in place, and every version is tracked with a diff view you can revert or compare.
From material you upload: product sheets, sales decks, marketing collateral. Veritas extracts the products, capabilities and relationships into a graph and writes from that.
Stop hallucinating. Start citing.
Write your first grounded draft today. Free for 7 days, cancel anytime.
GOOGLE · CHATGPT · PERPLEXITY · GEMINI · AI OVERVIEWS