What does Senso.ai do?

Senso helps growth and content teams understand how their brand appears inside AI-generated answers. The product turns scattered signals from search, answer engines, and owned knowledge into an editorial workspace where teams can act. This sample document is intentionally practical: it gives the builder-v2 editor a realistic starting point, enough formatting variety to exercise MarkdownKit, and a clear story about what the new builder shell is meant to support.

Market Context

Marketing teams are being asked to explain performance in channels that do not behave like classic search. A buyer may ask an AI assistant for vendor recommendations, implementation advice, or category comparisons, and the answer can be shaped by old pages, incomplete product copy, partner mentions, or missing citations. Senso gives teams a repeatable way to inspect those answers, find the source material behind them, and decide which owned assets should be improved first.

The editor should preserve high-signal claims, nuanced positioning, and operational details like workspace_id without flattening the document into plain text. It should also keep links such as Senso intact because final drafts often cite product pages, customer proof, and knowledge-base entries.

Audience

This draft is written for product marketing leaders, content strategists, and growth operators who need a better loop between research and publishing. They care less about another dashboard and more about knowing which message should change, where the evidence lives, and how quickly the team can move from insight to an updated page.

Messaging Pillars

• Measure how often the brand appears in AI answers for category, competitor, and problem-aware prompts.
• Diagnose why an answer chose a specific citation, vendor, or description.
• Turn knowledge gaps into draftable content briefs without leaving the builder.
• Keep every claim connected to source material so reviews are faster and safer.

1. Start with the questions buyers are already asking.
2. Compare answer coverage across models and market segments.
3. Identify the missing proof, page, or positioning detail.
4. Draft an update that can be reviewed and published.

Segment	Primary Need	Senso Angle
Product marketing	Message control	Reveal how AI systems describe the category and brand
Content strategy	Editorial focus	Prioritize drafts from measurable answer gaps
Growth operations	Reporting loop	Connect visibility shifts to content actions

The builder should feel like a working document, not a report viewer. The chat can research and reason, while the editor gives the human a place to shape the final artifact.

Drafting Notes

Use concise paragraphs and avoid vague claims. The strongest sections should say what changed in the answer landscape, why it matters for buyers, and which source-backed edit will improve the next response. When the agent proposes a change in a later ticket, the editor needs enough structure for approve and reject flows to target specific content without losing the surrounding context.

const builderGoal = {
  channel: 'ai_answers',
  action: 'turn visibility gaps into source-backed drafts',
  owner: 'content_team',
}

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Editorial Checklist

Before this content becomes publishable, the team should confirm that the claims match current product capabilities, every proof point has a source, and the recommendation can be understood by someone who did not participate in the research. The workflow should support quick edits, but it should not hide the underlying markdown because downstream persistence and review tools still need a reliable text format.