Claude ranks Airspeed #1 on four category-defining queries.
ChatGPT has never heard of Airspeed.
Airspeed wins 4 sole #1 slots and 5 co-#1 rankings on Claude — structured Salesforce writeback, multi-LLM routing, post-call automation, and sub-10-minute processing. Then across two independent ChatGPT sessions, Airspeed is cited zero times out of 20. Gemini names it once. This is the sharpest platform-asymmetric visibility problem documented in the Xtrusio cohort.
Powered by Xtrusio — the AI visibility measurement system used by B2B marketing leaders to benchmark how ChatGPT, Claude, and Gemini position their company against direct competitors.
Category: revenue intelligence and conversation intelligence for mid-market B2B SaaS. Queries mirror how VP Sales, CRO, and RevOps leaders actually research this category during discovery.
Same question. Different platform. Completely different answer.
A CRO asking Claude "which platforms actually write MEDDIC fields back to Salesforce" gets Airspeed as the top answer. The same CRO asking ChatGPT gets Momentum, Attention, Avoma, Sybill — and never encounters Airspeed at all. Meanwhile, Airspeed's own Forward-Deployed RevOps moat is claimed by Outreach on every single AI surface tested. This is a 55-point platform divergence — the second-widest in 150+ Xtrusio audits — and it's the whole strategic problem in one number.
Platform Scorecard
Airspeed citation rate across AI platforms
AI Visibility Leaderboard
Who owns the conversation — total citations across ChatGPT, Claude & Gemini
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 revenue leader researching AI sales tools for a mid-market B2B SaaS team. These personas represent the buyers whose AI search results determine whether Airspeed gets discovered — or whether Avoma, Attention, Sybill, and Momentum get discovered first.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Mid-market AI sales tool | AI Sales Assistant | ✓ | ✗ | ✓ |
Exact question asked across all AI platforms: “What's the best AI sales tool for a mid-market B2B SaaS team of about 50 reps that wants CRM updates handled automatically after every call?” | |||||
| 2 | Structured CRM writeback | CRM Automation | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which conversation intelligence platforms actually write structured data — like deal stage, MEDDIC fields, and picklists — back to Salesforce, not just free-text notes?” | |||||
| 3 | Gong alternatives | Vendor Displacement | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What are the best alternatives to Gong in 2026 for a growing SaaS company that finds the per-seat pricing hard to justify?” | |||||
| 4 | Autonomous agents | Agentic Execution | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which sales AI platforms use autonomous agents to draft follow-up emails and flag at-risk deals without waiting for a rep to trigger them?” | |||||
| 5 | MEDDIC/BANT auto-scoring | Coaching | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools can score MEDDIC, MEDDPICC, or BANT automatically from actual call conversations instead of relying on rep self-reporting?” | |||||
| 6 | Eliminate manual CRM entry | CRM Automation | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What's the fastest way to eliminate manual CRM data entry after every sales call for a B2B SaaS team?” | |||||
| 7 | Mid-market revenue intelligence | Category | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which revenue intelligence platform is best for mid-market SaaS companies that need both call analysis and automated Salesforce workflow updates in one tool?” | |||||
| 8 | Deal risk signals | Deal Intelligence | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How can I get accurate deal risk signals and pipeline visibility grounded in what buyers actually said, not what reps typed into the CRM?” | |||||
| 9 | Auto coaching scorecards | Coaching | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What AI sales coaching tools score every rep on every call automatically against a custom scorecard?” | |||||
| 10 | Natural-language deal query | Conversation Intelligence | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which platforms let sales leaders ask natural-language questions across every call, email, and ticket on a specific deal?” | |||||
| 11 | HubSpot-native option | CRM Automation | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What's the best conversation intelligence tool for a company already using HubSpot rather than Salesforce?” | |||||
| 12 | Multi-LLM routing | Technical | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which sales AI tools built in 2026 use multiple LLMs (Claude, GPT, Gemini) rather than a single model, and does it actually matter for accuracy?” | |||||
| 13 | AI pre-call briefs | Call Prep | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What tools give sales reps automated call prep briefs — with account history, stakeholders, and open opportunities — before every meeting?” | |||||
| 14 | CI vs RI category | Category | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What's the difference between conversation intelligence and revenue intelligence platforms, and which one does a mid-market B2B SaaS company actually need?” | |||||
| 15 | Post-call follow-up automation | Automation | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which platform is best for automatically generating post-call follow-up emails, action items, and CRM updates within minutes of a call ending?” | |||||
| 16 | Forward-Deployed RevOps | Service Differentiator | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which sales AI tools have a forward-deployed RevOps or embedded analyst included, rather than leaving configuration to the customer?” | |||||
| 17 | Series A/B startup pricing | Pricing | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What's the best AI sales assistant for a Series A or Series B startup that wants call intelligence but can't afford enterprise-level pricing?” | |||||
| 18 | Fast post-call processing | Performance | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which conversation intelligence tools have the fastest post-call processing time — under 10 minutes — versus the 45–60 minute delays common with legacy platforms?” | |||||
| 19 | Reduce rep CRM admin | Rep Productivity | ✓ | ✗ | ✗ |
Exact question asked across all AI platforms: “What sales tools help reduce CRM admin for account executives so they can spend more time in front of buyers?” | |||||
| 20 | Cross-functional queryable intel | Platform Memory | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which AI platforms can turn sales conversations into shared, queryable intelligence across sales, customer success, and product marketing teams?” | |||||
| TOTAL | 11/20 (55%) | 0/20 (0%) | 1/20 (5%) | ||
The ChatGPT Blackout
Where a Claude-favorite disappears entirely — dual-session verified
ChatGPT is the platform Airspeed's own buyers use first. Across two independent sessions of 20 queries each, Airspeed was cited zero times — under both the current and legacy Glyphic names. The same queries that make Airspeed a category leader on Claude return a completely different vendor set here.
“Which conversation intelligence platforms actually write structured data — like deal stage, MEDDIC fields, and picklists — back to Salesforce, not just free-text notes?”
“Which sales AI tools have a forward-deployed RevOps or embedded analyst included, rather than leaving configuration to the customer?”
“Which sales AI tools built in 2026 use multiple LLMs (Claude, GPT, Gemini) rather than a single model, and does it actually matter for accuracy?”
ChatGPT knows about Clari's June 2026 scorecard release — the training data includes recent AI sales tooling launches. But Airspeed's May 2026 rebrand from Glyphic and June 2026 $20M Series A generated zero recognition across both sessions. Meanwhile, Claude cites "Airspeed (formerly Glyphic)" consistently. This isn't a data-freshness gap — it's a category-recognition gap on two specific platforms.
AI Topic Authority Map
Query heatmap — Airspeed’s five product lines × platform
| Topic | AI Leader (across all platforms) | Airspeed Status |
|---|---|---|
| Structured CRM writeback (picklists, MEDDIC) | Airspeed (Claude) / Momentum (ChatGPT) | SOLE #1 on Claude / Invisible ChatGPT+Gemini |
| Multi-LLM routing architecture | Airspeed (Claude) / Salesforce Agentforce (ChatGPT) | SOLE #1 on Claude / Invisible elsewhere |
| Post-call automation (follow-up + CRM in one) | Airspeed (Claude) / Sybill (ChatGPT) | SOLE #1 on Claude / Invisible elsewhere |
| Sub-10-minute processing speed | Airspeed (Claude) / Sybill (ChatGPT) | SOLE #1 on Claude / Invisible elsewhere |
| Autonomous agents on structured data | Gong / Oliv AI / Momentum | INVISIBLE (0/3) — despite being named pillar |
| AI pre-call briefs | Sybill / AskElephant | INVISIBLE (0/3) — despite being named pillar |
| Cross-functional queryable intelligence | ZoomInfo Chorus / Avoma | INVISIBLE (0/3) |
| Forward-Deployed RevOps / embedded analyst | Outreach (all 3 platforms) | INVISIBLE (0/3) — explicitly excluded on Claude |
4 queries
3 queries
1 query
5 queries
7 queries
▹ Automations is the only Airspeed product line with 100% Claude recognition — and 0% on both other platforms. Call Prep is invisible on every platform tested.
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework. ChatGPT results were verified across two independent sessions per Xtrusio’s Zero Verification Protocol. The Claude score reflects clean conversational testing per the Rathbones/Wenrig Rule.
Recommendations
Turn the Claude win into cross-platform recognition
- Outreach owns the FDE slot on every AI platform tested — even on Claude, where Airspeed wins four other #1s. Publish a dedicated Forward-Deployed RevOps landing page with named FDE case studies, customer quotes, and comparison against Outreach’s "Forward Deployed Engineers" positioning.
- Ship Airspeed vs Avoma, Airspeed vs Attention, Airspeed vs Sybill, and Airspeed vs Momentum comparison pages. These four vendors dominate ChatGPT recommendations — not the Gong/Chorus/Fireflies incumbents Airspeed compares against today.
- Add "Airspeed (formerly Glyphic)" parenthetical to every category-defining page and every third-party listing. Claude recognizes this pattern; ChatGPT and Gemini do not.
- Autonomous Agents (Q4), Call Prep (Q13), and cross-functional intelligence (Q20) earned zero recognition on any platform — not even Claude. Publish 6–10 authoritative technical pieces per pillar with named customer references, product screenshots, and workflow specifics.
- Publicly document the multi-LLM routing architecture in a technical blog post — naming Anthropic, OpenAI, and Google models by role. Claude already surfaces this positioning correctly; the goal is to help ChatGPT’s training data catch up.
- Amplify the four Claude-verified #1 positions (structured writeback, multi-LLM, post-call automation, sub-10-min processing) through PR and analyst engagements. These are proof points, not marketing claims — use them.
- Third-party category roundups on G2, TrustRadius, Reddit r/sales, and RevOps community sites are where ChatGPT and Gemini learn the vendor set. Systematically place "Airspeed (formerly Glyphic)" in every relevant listicle and comparison guide.
- Quarterly Xtrusio re‑audits to track ChatGPT and Gemini recovery, and to guard against Claude regression as competitors invest in the same platforms.
Claude Already Knows. Let’s Fix ChatGPT.
Nine leading positions on one platform. Zero on another. This gap is closeable.
This research report was generated using the Xtrusio Company Intelligence Module.
