Sirion AI Search Visibility
Competitive Positioning in the Age of Answer Engines
An independent analysis of Sirion's visibility in AI-powered search platforms compared to Icertis and Ironclad. This report examines how enterprise CLM buyers discover and evaluate solutions through ChatGPT, Google AI Overviews, Gemini, and other answer engines.
Sirion markets as "AI-native, full-lifecycle CLM."
But when enterprise buyers ask ChatGPT or Gemini about CLM platforms, AI describes Sirion as "best for post-signature, obligations, and SLA tracking" — boxing you into one phase of the lifecycle while Icertis owns "enterprise governance" and Ironclad owns "pre-signature speed."
Sirion ranks #2 in AI visibility (score: 37) — behind Icertis (46), ahead of Ironclad (30). You have the highest AI audience reach (12.96M monthly) but convert this into lower citations. The gap isn't reach — it's content architecture. Competitors own the educational "What is X?" layer that AI prefers to cite.
Methodology
How we conducted this analysis
This assessment combines quantitative AI visibility data with qualitative query testing to provide a complete picture of Sirion's competitive positioning in answer engines.
AI Visibility Scorecard
Head-to-head comparison across key metrics
| Metric | Sirion | Icertis | Ironclad | Winner |
|---|---|---|---|---|
| AI Visibility Score | 37 | 46 | 30 | Icertis |
| Monthly AI Audience | 12.96M | 11.13M | 6.31M | Sirion |
| Total Mentions | 841 | 1.16K | 478 | Icertis |
| Cited Pages | 708 | 545 | 901 | Ironclad |
"You're winning eyeballs but losing citations. 12.96M AI audience reach — highest in the category — but Icertis converts their smaller audience into more mentions. The problem isn't awareness. It's content architecture."
— The Core Insight
The Definitions Gap
Why Icertis wins AI citations
AI engines preferentially cite educational, definitional content — the "What is X?" layer of the buyer journey. Icertis dominates this space with their /contracting-basics/ content hub. Ironclad follows with /journal/. Sirion's content is more product-focused, missing this citation-friendly layer.
Icertis built a dedicated /contracting-basics/ content hub with pages like "What is an NDA?", "What are Terms and Conditions?", and "What is a Statement of Work?" — each generating 80-120+ AI prompt citations. This definitional layer is why they score 46 vs your 37.
AI Positioning Audit
10 decision-maker queries tested across ChatGPT, Gemini & Claude
We manually tested 10 high-intent queries that enterprise CLM buyers typically ask AI assistants. The results reveal a critical positioning gap: Sirion is being pigeonholed as "post-signature only" while its "AI-native, full-lifecycle" messaging is not reflected in AI answers.
| Query Tested | ChatGPT | Gemini | Claude |
|---|---|---|---|
| 1. How to reduce contract cycle time in enterprise | ✗ | ✗ | ✓ |
| 2. Why do companies lose money on contract renewals | ✗ | ✗ | ✗ |
| 3. How to track contract obligations automatically | ✓ | ✓ | ✓ |
| 4. What is CLM software | ✗ | ✗ | ✗ |
| 5. Best CLM platform for enterprise 2026 | ✓ | ✓ | ✓ |
| 6. AI-powered contract management software | ✗ | ✓ | ✓ |
| 7. Sirion vs Icertis which is better | ✓ | ✓ | ✓ |
| 8. Ironclad vs Sirion comparison | ✓ | ✓ | ✓ |
| 9. Best CLM for procurement teams | ✗ | ✗ | ✗ |
| 10. Contract management for pharmaceutical | ✗ | ✗ | ✗ |
| SIRION HIT RATE | 4/10 (40%) | 5/10 (50%) | 6/10 (60%) |
"If you are compliance-first (strict governance, risk/compliance focus across large enterprises), Icertis is often positioned that way. If you are performance-first post-signature (obligations, SLAs, ongoing value realization), Sirion is often positioned that way."
— Claude response to "Sirion vs Icertis which is better"
Click to view full screenshots of AI query testing conducted January 30, 2026.
Content Gap Analysis
Topics Sirion is missing in AI search
Semrush identifies high-volume AI topics where Sirion has zero visibility. These represent immediate content opportunities to capture AI citations.
| Topic Opportunity | AI Volume | Sirion Visibility | Intent Type |
|---|---|---|---|
| Letter of Intent and LOI Templates | 92.96K | 0 | Informational |
| Digital and Electronic Signatures | 53.53K | 0 | Informational |
| Consulting and Freelance Contract Templates | 22.03K | 0 | Informational |
| AI-Driven Contract Drafting | 490 | 0 | Commercial |
| Salesforce Contract Management | 2.23K | 0 | Commercial |
| Agiloft Contract Management | 1.39K | 0 | Navigational |
Source Comparison
Who gets cited when AI discusses CLM
When users ask AI about CLM topics, which sources get cited? This reveals the competitive landscape for AI visibility. Notably, HyperStart — a smaller competitor — is getting more citations than both Sirion and Icertis in several contexts.
| Source Domain | Mentions (Sirion Context) | Mentions (Icertis Context) | Mentions (Ironclad Context) |
|---|---|---|---|
| youtube.com | 258 | 297 | 392 |
| hyperstart.com | 189 | 207 | 188 |
| ironcladapp.com | 168 | 213 | 587 |
| icertis.com | 104 | — | 132 |
| sirion.ai | — | 151 | 151 |
| thomsonreuters.com | 102 | 149 | 163 |
| juro.com | 60 | 102 | 108 |
Strategic Recommendations
The Xtrusio Protocol for AI Dominance
Generic SEO advice won't close this gap. Sirion needs a systematic approach to own the definitional layer in AI search. Below is the Xtrusio 3-Step Protocol — the same methodology that helps B2B companies dominate both Google and ChatGPT.
- Create sirion.ai/glossary/ or /clm-basics/ hub with 20+ definition pages
- Each page: Wiki-style definition block answering "What is [Term]?" with structured heading
- Add JSON-LD Schema (Article/DefinedTerm) — signals to Google this is authoritative reference content
- Priority pages: What is an NDA (owned by Ironclad at 229 prompts), What is CLM, What is Contract Obligation Tracking
- Tier 1 (DA 60+): Gartner reprints, Forbes Tech Council, industry analyst mentions — all linking to your definition pages
- Tier 2 (DA 40-60): G2, Capterra, TrustRadius profiles updated with consistent "AI-native, full-lifecycle" messaging
- Tier 3: Legal tech directories, CLM comparison sites, industry portals
- Key: All sources should echo the SAME definition language — AI gains confidence when multiple authorities agree
- For each glossary term, create 3-5 supporting articles that internally link back
- Example cluster for "NDA": NDA vs Confidentiality Agreement, Free NDA Template, When to Use Mutual vs One-Way NDA, NDA Enforcement Best Practices
- Build comparison pages: "Sirion vs Icertis", "Sirion vs Ironclad" — own the narrative before competitors do
- Target missed prompts: "Ariba competitors" (38 brands), "Pandadoc alternative" (35 brands), "AI contract drafting"
| Target Page | AI Volume | Current Owner | Priority |
|---|---|---|---|
| What is a Letter of Intent (LOI)? | 92.96K | Nobody (opportunity) | High |
| What is an NDA? | High | Ironclad (229 prompts) | High |
| What is Contract Lifecycle Management? | 1.42K | Icertis | High |
| What is AI Contract Management? | 762 | Nobody (opportunity) | Medium |
| Sirion vs Icertis Comparison | — | Third parties | High |
The Gap is Fixable. The Window is Now.
Before Icertis widens the lead, let's discuss how to own your narrative in AI search.
