Zero mentions. Every platform.
Sooth Labs is invisible in the AI buyer conversation.
20-query audit across ChatGPT, Gemini & Claude — each session run twice for cross-verification. Sooth Labs is cited on 0 of 60 responses (0.0%). Zero mentions. Zero rankings. Not even for questions describing its exact product category. Across 7 independent AI sessions and 140 question-answer pairs, the Sooth Labs brand does not exist in AI's recommendation universe.
This report was generated using Xtrusio, an AI visibility and demand intelligence platform that analyzes how companies appear across modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, and other generative engines.
The insights in this page are generated using Xtrusio’s proprietary research and content intelligence framework.
The Sooth Labs brand doesn’t exist in AI — and neither does its funded namesake.
Across 20 buyer-intent questions run twice on each of ChatGPT, Claude, and Gemini — 7 sessions and 140 question-answer pairs in total — Sooth Labs was not cited a single time. Even Q19 (“calibrated probability forecasts for macroeconomic and geopolitical events”) — a question describing the exact product category Sooth Labs targets — returned the same closed set of incumbents every time: Metaculus, Good Judgment, Kalshi, Polymarket. Notably, the £50M-seed, $335M-valuation namesake Sooth Labs Inc. also received zero citations. Neither Sooth Labs entity has penetrated AI’s recommendation universe.
Platform Scorecard
Sooth Labs citation rate across AI platforms
AI Visibility Leaderboard
Who owns the AI conversation — total citations across all platforms and sessions
AI Positioning Audit
20 buyer-intent queries — click any row to see the exact question
Each query was written from the perspective of a real decision-maker researching strategic foresight, market intelligence, and scenario planning platforms. These personas represent the senior strategy leaders whose AI search results determine whether Sooth Labs gets discovered during evaluation cycles — and whose vendor shortlists Sooth Labs is currently missing from entirely.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Signals to Board Scenarios | Strategy Mapping | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What’s the best software for turning market signals into board-ready strategic scenarios in 2026?” | |||||
| 2 | Unified Signal Dashboard | Signal Detection | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How can a corporate strategy team monitor competitor moves, regulatory shifts, and macro trends in one dashboard?” | |||||
| 3 | Living Scenario Models | Living Scenarios | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What platforms help strategy teams build scenario models that continuously update as new data arrives?” | |||||
| 4 | Probability-Weighted Scenarios | Living Scenarios | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Best tools for building probability-weighted future scenarios for executive strategic planning?” | |||||
| 5 | Signal + Framework for CSOs | Strategy Mapping | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What AI platforms combine signal detection with automated strategy frameworks for chief strategy officers?” | |||||
| 6 | Strategic Foresight Platform | Foresight Platform | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What’s the best strategic foresight platform for enterprise leaders in 2026?” | |||||
| 7 | Continuous Board Intel | Strategy Mapping | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which tools replace static strategy decks with continuously refreshed intelligence for boards and executives?” | |||||
| 8 | Best CI Platform | Competitive Intel | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Best competitive intelligence platforms for corporate strategy and market planning teams?” | |||||
| 9 | Gartner CI Leaders 2026 | Competitive Intel | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which market and competitive intelligence platforms are Gartner leaders in 2026?” | |||||
| 10 | Track Competitor Signals | Signal Detection | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools track competitor product launches, executive hiring, funding, and pricing changes in real time?” | |||||
| 11 | Regulatory + Geo Risk | Signal Detection | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What platforms help enterprises monitor regulatory, geopolitical, and market risks across industries?” | |||||
| 12 | Market Data to C-Suite | Strategy Mapping | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Best software for turning external market data into internal strategic recommendations for the C-suite?” | |||||
| 13 | F500 Strategy Team Tools | Foresight Platform | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which AI tools do Fortune 500 strategy teams use for market and competitive monitoring?” | |||||
| 14 | Automated Exec Briefings | Strategy Mapping | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What automates weekly or monthly market intelligence briefings for executive leadership?” | |||||
| 15 | Enterprise Scenario Planning | Living Scenarios | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Best AI platforms for scenario planning and strategic foresight at large enterprises in 2026?” | |||||
| 16 | AlphaSense Alternative | Foresight Platform | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What’s the best alternative to AlphaSense for market intelligence and financial signal monitoring?” | |||||
| 17 | Battlecards + Win-Loss | Competitive Intel | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which competitive intelligence platform has the best battlecards, win-loss analysis, and sales enablement features?” | |||||
| 18 | Strategy + Sales CI Collab | Competitive Intel | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools help strategy and sales teams collaborate on competitive positioning at enterprise scale?” | |||||
| 19 | Calibrated Prob Forecasts | Living Scenarios | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which AI platforms provide calibrated probability forecasts for macroeconomic and geopolitical events?” | |||||
| 20 | Consulting Firm MI Tools | Foresight Platform | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools do top strategy consulting firms use for market intelligence and scenario planning research?” | |||||
| TOTAL | 0/20 (0%) | 0/20 (0%) | 0/20 (0%) | ||
The Vendor Universe Gap
Why every platform returned the same closed set of incumbents
Typical audits show a client winning on one platform and losing on another. Sooth Labs shows something different — a universal invisibility that isn’t about platform preference. It’s about a closed, well-established vendor universe that all three AI systems draw from for foresight, market intelligence, and scenario planning queries. Below are the queries designed to surface Sooth Labs most directly, along with the vendor set AI returned instead.
“Which AI platforms provide calibrated probability forecasts for macroeconomic and geopolitical events?”
“What’s the best software for turning market signals into board-ready strategic scenarios in 2026?”
“What’s the best strategic foresight platform for enterprise leaders in 2026?”
Same question. Different AI systems. Same closed vendor list. When ChatGPT, Claude, and Gemini independently agree on the incumbent set for a category — and none of them mention Sooth Labs — the issue isn’t platform preference. It’s category penetration. Breaking in requires being cited by the sources those AI systems reference: Gartner Peer Insights, G2 category reports, analyst coverage, Reddit threads, and category-defining content. That’s the roadmap.
AI Topic Authority Map
Query heatmap — product line × platform
| Topic | AI Leader | Sooth Labs Status |
|---|---|---|
| Strategic Foresight Platform | ITONICS | INVISIBLE (0/3) |
| Board-Level Scenario Planning | Board Foresight | INVISIBLE (0/3) |
| Market Intelligence for Strategy | AlphaSense | INVISIBLE (0/3) |
| Competitive Intelligence (CI) | Klue / Crayon | INVISIBLE (0/3) |
| Corporate Strategy CI Dashboards | Contify | INVISIBLE (0/3) |
| Calibrated Probability Forecasts | Metaculus / Good Judgment | INVISIBLE (0/3) |
| Automated Exec Briefings | Contify / Valona | INVISIBLE (0/3) |
| Regulatory + Geo Risk Monitoring | FiscalNote / S&P Global | INVISIBLE (0/3) |
3 queries
4 queries
5 queries
4 queries
4 queries
▹ All 5 product lines show 0% visibility across all 3 AI platforms. There is no line to defend and no line to rebuild — only lines to build from zero.
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework. Given the significance of the triple-zero result, every platform was run twice for cross-verification (7 total sessions instead of the standard 3).
Recommendations
A category penetration playbook — not a visibility tune-up
A typical AEO recommendation set focuses on closing a gap. That framing doesn’t fit here. Sooth Labs isn’t losing on one platform while winning on another — the brand is entirely absent from AI’s recommendation universe. The recommendations below are structured for category penetration from a standing start, not gap remediation.
- Publish canonical “What Sooth Labs Does” page with structured schema markup so AI systems can disambiguate from Sooth Labs Inc.
- Create dedicated comparison landing pages: “Sooth Labs vs ITONICS”, “Sooth Labs vs Board Foresight”, “Sooth Labs vs AlphaSense”
- Claim / build G2 and Capterra profiles under “Strategic Foresight” and “Competitive Intelligence” categories — these are AI training-data sources
- File for inclusion in Gartner Peer Insights — the source AI cites for Q9 (“Gartner leaders”) queries
- Publish 5 long-form pieces directly targeting the queries where AI returned closed vendor sets (Q1, Q6, Q13, Q15, Q19). Each piece must include a “top 10 vendors” framing so AI can extract Sooth Labs from the list
- Get cited by 3+ independent sources AI already trusts: Softwarefindr, Capterra, SelectHub, Predictive Analytics Today, or category-specific analyst blogs
- Launch a “Foresight vs Forecasting” positioning piece — sharp semantic differentiation from the Metaculus/Good Judgment set AI defaults to on Q19
- Get 2–3 CSO-level customer quotes into indexable case studies once early-access customers are live
- Quarterly Xtrusio re-audits tracking category penetration — measured as: cited on X of 20 queries, share of voice vs incumbents
- Analyst outreach (Gartner, Forrester, IDC) once product is live and generating documented outcomes — analyst coverage is the strongest single AI training signal
- Expected trajectory: 6-month re-audit should show 3–5 citations (15–25%) if the Phase 1 and 2 work executes. Sub-10% at 6 months means content strategy needs rework.
Ready to break into the AI vendor conversation?
A triple-zero is not a death sentence — it’s a category penetration blueprint.
This research report was generated using the Xtrusio Company Intelligence Module.
