Bot-readable content gets you crawled. Buyer-relevant content gets you chosen.

Scrunch's core insight is that AI is now your most important visitor — so you should optimise your site for how bots read it. Omnibound's counter: the bot is a messenger. The buyer it's answering for is the one making the purchase decision. And the specific questions that buyer types into ChatGPT during a live evaluation? Those live in your CRM, your call recordings, your support tickets — not in CDN logs. Omnibound automatically surfaces those prompts, categorises them by theme (Top Role-Level Pains, Top Objections, Questions Asked), and scores them by pipeline importance. 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 agentic SEO and LLM SEO tools 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. Scrunch doesn't have that connection. Without it, your GEO strategy optimises for what the market says — not what your buyers ask.

• 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 Scrunch's monitoring surfaces a citation gap, you need a separate content strategy to close 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. The strategy doesn't go stale — it sharpens as your buyer base grows.

• 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 — in one platform. 

Scrunch tells you how many times your brand appeared in AI answers, how your sentiment tracks, and where your share of voice stands. Those are useful brand 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. Omnibound connects every AI search metric directly to your CRM — so you can see which citations are appearing in active evaluations, which buyer personas are engaging, and how AI search performance maps to 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 brand monitoring to pipeline proof.