AI brand monitoring counts your mentions. Buyer intelligence wins the deals.

Otterly's AI Prompt Research is genuinely useful: it takes your keywords and brand terms and surfaces the real queries people are using in AI engines. That tells you what the market is asking. Omnibound surfaces what your buyers are asking — because it derives prompts directly from your CRM, call recordings, and support tickets. Each prompt is auto-categorised by theme (Top Role-Level Pains, Top Objections, Questions Asked), importance-scored by pipeline relevance, and tracked across every major AI engine. You see exactly where you're mentioned, where you're getting a weak mention, and where you're invisible — for the questions your buyers are actually asking.

• Contextual prompts auto-surfaced from real buyer conversations — no manual research required
• Importance scores tell you which gaps are costing the most pipeline — prioritise what matters 
• Track Mentioned / Weak Mention / Not Mentioned per engine, per buyer prompt

Here's what most teams using AI visibility trackers miss: your CRM isn't just a sales database — it's the richest source of buyer language you have. The specific words your buyers use to describe their problems, the objections they raise, the questions they ask your sales team — that language is what AI engines look for when deciding what to cite. Omnibound connects directly to HubSpot and Salesforce, ingests that language, and uses it to build the content that earns citations from the right buyers at the right deal stage. Otterly doesn't have that connection. Without it, your AI search strategy is optimised for the market's vocabulary — not your buyers'.

• CRM integration brings live buyer language into every content and prompt decision
• Deal-stage context: different prompts, different content, different attribution at each buying stage
• Pipeline attribution reporting: show your CMO exactly how AI search citations connect to revenue 

When Otterly's GEO Audit surfaces a content gap, you need a separate workflow to produce the content that closes it. Omnibound closes that loop inside the same platform. The moment a buyer signal surfaces — a recurring objection on sales calls, a competitor gaining ground on a key prompt, a cluster of buyers asking the same question — Omnibound's seven content engines activate simultaneously. Blog Agent surfaces article opportunities. Social Agent surfaces posts. Email Campaign Agent builds plays. FAQ Agent extracts answerable questions. Objection Handling Agent creates battlecard content. Competitive Battlecard Agent flags competitive gaps. Customer Sentiment Agent surfaces positioning opportunities. Every item is importance-scored. New ones surface daily.

• 7 dedicated content format agents — all drawing from the same buyer intelligence layer
• Every opportunity scored by importance — your team always knows what to create first
• Continuous refresh: new content opportunities surface daily as buyer conversations evolve 

From identifying a citation gap to publishing the content that closes it, on one platform.

Otterly tells you your brand coverage rate, your average position across AI engines, and which URLs are being cited. Those are excellent brand health signals. What they can't tell you is whether the buyers finding you in AI search are in active deals, what stage those deals are at, or whether the citation influenced the purchase decision. Omnibound connects every AI search metric directly to your CRM — mapping citations to active deals, buying stages, and closed revenue.

• Citations mapped to active CRM deals and buying stages — not just impression counts

• Persona-level attribution: which roles are finding you, on which engine, at which stage 

• Revenue contribution dashboard — report AI search ROI in language your CFO understands

Move from reporting brand coverage to proving pipeline contribution.