Xtrusio AEO/GEO Audit
ChatGPT cites Quest Global.
Not eInfochips.
An independent 40-query audit of eInfochips' visibility in AI-powered search platforms. We tested the exact questions semiconductor buyers ask when evaluating ASIC/FPGA design partners, automotive ADAS vendors, and medical device engineering firms.
15%
ChatGPT
6 of 40 queries
⚠️ PROBLEM
5%
Gemini
2 of 40 queries
🔴 CRITICAL GAP
67.5%
Claude
27 of 40 queries
⚠️ WRONG PLATFORM
The Platform Mismatch
You dominate Claude (25% market share) but are invisible on ChatGPT (60% market share).
When a Tier 1 automotive supplier asks ChatGPT "Which firms specialize in ADAS embedded software?"—they see Quest Global, Intellias, and ETAS. Not eInfochips. Your 67.5% visibility on Claude creates false confidence while ChatGPT bleeds revenue. This isn't a content problem. It's a platform architecture problem—and Quest Global (with a LOWER Semrush score) is winning the RFPs you never see.
Section 2
Methodology
How We Conducted This Xtrusio AEO/GEO Audit
This assessment combines manual buyer-intent testing with Semrush AI Visibility data to provide a complete picture of eInfochips' competitive positioning in answer engines—the platforms where 73% of B2B buyers now begin their vendor research.
AUDIT SCOPE
40 buyer-intent questions tested
3 AI platforms (ChatGPT, Gemini, Claude)
4 competitors analyzed
Semrush AI Visibility data (Aug 2025 - Jan 2026)
January 2026 testing window
5 real decision-maker profiles validated
Three-Phase Xtrusio Workflow
Phase 1: Research & Question Generation
Deep Company Analysis → Buyer Personas → 40 Questions
- Website research: eInfochips.com products, services, case studies, Arrow ecosystem
- Competitor mapping: Quest Global, HCLTech, Ignitarium, Cyient, SARACA, Tessolve
- Developed 3 buyer personas: Enterprise Chip Architect, Med-Tech Product Leader, Automotive Systems Engineer
- Generated 40 discovery-phase questions (no eInfochips brand mentions, buyer language only)
Phase 2: Manual AI Platform Testing
Identical Testing Protocol Across All 3 Platforms
- Tested ChatGPT (GPT-4), Gemini (Advanced), Claude (Sonnet 4.5) in January 2026
- Used standardized prompt: "Answer as if I'm a business professional researching solutions..."
- Collected full text responses + screenshots for evidence
- Citation analysis: ✓ (cited), ✗ (absent), ~ (generic mention)
Phase 3: Analysis & Benchmarking
Semrush Data + Weighted Buyer Visibility Calculation
- Collected Semrush AI Visibility data (Aug 2025 - Jan 2026) for eInfochips + 3 competitors
- Analyzed what topics Semrush tracks vs. our buyer-intent questions
- Calculated weighted visibility: (ChatGPT × 60%) + (Gemini × 15%) + (Claude × 25%)
- Market share weights based on B2B usage data (ChatGPT dominant)
Buyer Personas Developed
1
Enterprise Chip Architect
Sample Questions They Ask AI:
- "Which firms support TSMC 3nm/5nm?"
- "How to accelerate ASIC verification?"
- "Best partners for ISO 26262 automotive SoCs?"
2
Med-Tech Product Leader
Sample Questions They Ask AI:
- "Which firms have ISO 13485 for medical device design?"
- "How to develop FDA-compliant firmware?"
- "Best practices for component obsolescence?"
3
Automotive Systems Engineer
Sample Questions They Ask AI:
- "Which companies provide ASIL-compliant hardware design?"
- "How to prototype ADAS on Snapdragon Ride?"
- "Best partners for safety-critical automotive firmware?"
Why This Methodology Works
❌ Semrush Approach
Tracks any query containing "einfochips"
Result: Job seekers ("einfochips careers"), investors ("einfochips share price"), general lookups ("einfochips company profile")
Audience: Recruiters, analysts, journalists — NOT buyers
Result: Job seekers ("einfochips careers"), investors ("einfochips share price"), general lookups ("einfochips company profile")
Audience: Recruiters, analysts, journalists — NOT buyers
✅ Xtrusio Approach
Tests actual procurement manager questions
Result: "Which firms have 200+ ASIC tape-outs?", "Best partners for ADAS embedded software?", "ISO 26262 automotive chip design?"
Audience: VPs of Engineering, CTOs, procurement managers — BUYERS
Result: "Which firms have 200+ ASIC tape-outs?", "Best partners for ADAS embedded software?", "ISO 26262 automotive chip design?"
Audience: VPs of Engineering, CTOs, procurement managers — BUYERS
🎯 Buyer-Intent Focus
Every question maps to a real buying scenario. We didn't test "einfochips company profile" (job seekers). We tested "Which firms have early Qualcomm platform access?" (procurement managers with $10M budgets).
🔍 Manual Testing > Automation
Automated tools use keyword matching. We tested decision-maker perspective. Semrush can't tell if "einfochips" appears in a job posting or an RFP evaluation. We can.
📊 Platform-Specific Analysis
ChatGPT ≠ Gemini ≠ Claude. Each platform has different market share (ChatGPT 60%, Claude 25%, Gemini 15%). We weighted our analysis accordingly. Semrush averages all platforms—hiding critical gaps.
"Traditional SEO asks: 'How many times does einfochips rank on Google?' Xtrusio Search Intent Architecture asks: 'When a VP of Engineering asks ChatGPT about ADAS partners—does eInfochips appear in the answer?' This is the difference between tracking visibility and engineering revenue."
— Xtrusio AEO/GEO Methodology
Decision-Maker Validation
To validate our personas, we researched 5 real LinkedIn profiles matching our target decision-makers:
| Name | Title | Company | Industry | Persona Match |
|---|---|---|---|---|
| Indranil Ronnie Bose | Partner/CTO Health | Zühlke Group | Medical Devices | Med-Tech Leader |
| Michael Ellison | VP Engineering (former Qualcomm) | 30+ years semiconductor | Semiconductor | Chip Architect |
| Sara Thiele | CTO | Parameters Research Lab | Medical Clinical | Med-Tech Leader |
| Son Ho | Senior VP Engineering | Marvell Semiconductor | Semiconductor | Chip Architect |
| Hussain Rangwala | CTO | Inari Medical | Neurovascular Devices | Med-Tech Leader |
Scope & Limitations
What This Audit Covers
• ChatGPT, Gemini, Claude (mainstream AI platforms)
• Discovery-phase buyer intent (before RFP)
• English-language queries
• Semrush AI Visibility comparative data
• January 2026 snapshot
• Discovery-phase buyer intent (before RFP)
• English-language queries
• Semrush AI Visibility comparative data
• January 2026 snapshot
What This Audit Does NOT Cover
• Perplexity, Bing Chat, other platforms
• Post-RFP evaluation ("eInfochips vs Quest Global")
• Non-English markets
• Paid search or traditional SEO rankings
• Social media visibility
• Post-RFP evaluation ("eInfochips vs Quest Global")
• Non-English markets
• Paid search or traditional SEO rankings
• Social media visibility
📅 Temporal Note
AI platform responses evolve as new content is published. This audit represents January 2026 positioning. Xtrusio recommends monthly monitoring and quarterly content updates to maintain and improve visibility as competitors adjust their strategies.
Section 3
Semrush Analysis
Why industry-standard tools fail for niche B2B semiconductor services
We started with Semrush AI Visibility—the industry standard. What we found explains why automated scores are dangerously misleading for niche B2B brands in the semiconductor design services space.
Semrush AI Visibility Scores (All "Low" — Meaningless)
| Company | Semrush Score | Audience | Mentions | ChatGPT | Gemini |
|---|---|---|---|---|---|
| eInfochips | 30 | 10.9M | 477 | 29 | 55 |
| Ignitarium | 28 | 308.7K | 32 | 6 | 7 |
| Quest Global | 26 | 6M | 437 | 74 | 144 |
All three companies score 26-30/100. All marked "Low - Rarely mentioned in LLM outputs." Yet one dominates ChatGPT with 74 mentions vs eInfochips' 29.
The Semrush Paradox
Semrush says eInfochips is "winning" (score 30 vs Quest Global's 26).
Reality: Quest Global dominates ChatGPT with 74 mentions (2.5x eInfochips) and Gemini with 144 mentions (2.6x eInfochips). The platform with 60% of B2B buyers? ChatGPT. Who wins there? Quest Global.
Why? Because Semrush tracks word matches ("einfochips" appears anywhere), not buyer intent ("Which firms specialize in ADAS?"). The data is polluted with job seekers, investors, and general research—not procurement managers.
eInfochips: What Semrush Actually Tracks
Semrush Dashboard
30/100 "Low" Score — But What Is It Tracking?
Top Performing Topics
"einfochips company profile" (5.1K volume) — Job Seekers, Not Buyers
| Semrush Top Topic | Visibility | Mentions | Buyer Intent? |
|---|---|---|---|
| "einfochips company profile" | 52 | 17 | NO |
| "What career opportunities does Einfochips offer" | — | 13 | NO |
| "einfochips share price" | — | 8 | NO |
🚨 The Brand Dilution Problem
Semrush tracks "einfochips company profile" (job seekers researching employer), "career opportunities" (recruiters), and "share price" (finance researchers). These are NOT procurement managers evaluating ASIC design partners. The 477 mentions sound impressive—until you realize they're from the wrong audience entirely.
Quest Global: Lower Score, Higher Buyer Reach
Semrush Dashboard
26/100 — Lower Score, But Dominates ChatGPT (74 mentions)
Top Performing Topics
"Quest Global Engineering & Careers" — Same Job Seeker Pattern
💡 The Semrush Deception
Quest Global's Semrush score (26) is LOWER than eInfochips (30), yet they dominate the platforms that matter:
• ChatGPT (60% of B2B buyers): Quest Global 74 mentions vs eInfochips 29 (2.5x advantage)
• Gemini (15% of B2B buyers): Quest Global 144 mentions vs eInfochips 55 (2.6x advantage)
Semrush's score says eInfochips is "winning." Reality says Quest Global owns the RFP shortlist before you even know it exists.
• ChatGPT (60% of B2B buyers): Quest Global 74 mentions vs eInfochips 29 (2.5x advantage)
• Gemini (15% of B2B buyers): Quest Global 144 mentions vs eInfochips 55 (2.6x advantage)
Semrush's score says eInfochips is "winning." Reality says Quest Global owns the RFP shortlist before you even know it exists.
Ignitarium: "Better" Score, Zero Buyer Visibility
Semrush Dashboard
28/100 — "Better" Than Quest Global (26), But 0% ChatGPT Buyer Visibility
Top Performing Topics
"Ignitarium Careers & Reviews" (93 visibility) — 100% Recruitment Queries
🎯 The Final Proof: Ignitarium's 28 Score Means Nothing
Ignitarium scores 28/100 (higher than Quest Global's 26), yet has 0% visibility on actual buyer questions in our 40-query audit. Their entire Semrush score comes from "Ignitarium Careers & Reviews" and "interview questions"—recruiter traffic, not procurement managers.
This proves Semrush rewards high-volume topics regardless of commercial intent. Job seeker queries inflate scores while buyer-intent queries go unmeasured.
This proves Semrush rewards high-volume topics regardless of commercial intent. Job seeker queries inflate scores while buyer-intent queries go unmeasured.
"Semrush tracks job seekers asking about 'career opportunities.' Xtrusio tracks CTOs asking 'Which firms can tape out a 3nm SoC?' That's the difference between measuring noise and measuring revenue."
— Why We Built This Manual 40-Query Audit
Section 4
Platform Scorecard
eInfochips citation rates across AI platforms
eInfochips Citation Rate by Platform
⚠️ The Platform Mismatch
You dominate Claude (67.5%) which has 25% market share. You're invisible on ChatGPT (15%) which has 60% market share.
Weighted buyer visibility: 26.63% (ChatGPT 15% × 60%) + (Gemini 5% × 15%) + (Claude 67.5% × 25%)
Compare to Quest Global: 44.75% weighted visibility — they win RFPs before you even know they exist.
Weighted buyer visibility: 26.63% (ChatGPT 15% × 60%) + (Gemini 5% × 15%) + (Claude 67.5% × 25%)
Compare to Quest Global: 44.75% weighted visibility — they win RFPs before you even know they exist.
Competitor Comparison on ChatGPT (60% Market Share Platform)
Section 5
The ChatGPT Gap
Who gets cited instead on the platform that matters
When semiconductor buyers ask ChatGPT about ASIC design, ADAS development, or medical device engineering, they don't see eInfochips. They see Quest Global, HCLTech, Cyient, and Tessolve.
Who ChatGPT Cites for Buyer-Intent Queries (40-Question Audit)
| Critical Query Where eInfochips is Absent | Who ChatGPT Cites Instead |
|---|---|
| Q2: "Which firms specialize in ADAS embedded software?" | Intellias, ETAS, Quest Global |
| Q4: "Silicon-to-software product engineering partners?" | HCLTech, GlobalLogic, Accenture |
| Q8: "Best firms for ASIC/FPGA design and verification?" | MosChip, Orthogone, Fidus |
| Q18: "Semiconductor design partners with 200+ tape-outs?" | Tessolve, Mobiveil, Cyient |
"By the time a procurement manager Googles 'eInfochips'—you've already lost. They discovered Quest Global through ChatGPT three weeks ago during their discovery phase. The RFP shortlist was set before you knew the opportunity existed."
— The Discovery Phase Problem
Section 6
AI Positioning Audit
40 buyer-intent queries tested across ChatGPT, Gemini & Claude
| Query Tested | ChatGPT | Gemini | Claude |
|---|---|---|---|
| 1. Which firms help medical device companies meet FDA 510(k) requirements? | ✓ | ✗ | ✓ |
| 2. Which firms specialize in embedded software for automotive ADAS systems? | ✗ | ✗ | ✓ |
| 3. How can medical device companies find partners with hardware + regulatory expertise? | ✗ | ✗ | ✓ |
| 4. What are top companies offering silicon-to-software capabilities? | ✓ | ✗ | ✓ |
| 5. Which firms provide outsourced engineering for connected IoT products? | ✗ | ✗ | ✓ |
| 6. How to evaluate engineering partners for ISO 26262 functional safety projects? | ✗ | ✗ | ✓ |
| 7. What companies offer turnkey development from concept to manufacturing? | ✗ | ✗ | ✓ |
| 8. Which providers have strong ASIC and FPGA design capabilities? | ✗ | ✗ | ✓ |
| 9. How can automotive suppliers find partners with ASPICE Level 3 certification? | ✗ | ✗ | ✓ |
| 10. What are best practices for selecting a product engineering outsourcing partner? | ✗ | ✗ | ✓ |
| 11. Which companies provide digital transformation for industrial equipment manufacturers? | ✗ | ✗ | ✓ |
| 12. How to find firms that develop both hardware and cloud platform for IoT products? | ✗ | ✗ | ✓ |
| 13. What companies specialize in aerospace and defense systems development? | ✗ | ✗ | ✓ |
| 14. Which firms offer quality engineering services with test automation? | ✗ | ✗ | ✓ |
| 15. How can consumer electronics companies find partners for rapid development? | ✗ | ✗ | ✓ |
| 16. What companies provide embedded systems engineering for EV charging infrastructure? | ✗ | ✗ | ✓ |
| 17. Which engineering firms have expertise in developing AI-enabled medical devices? | ✗ | ✗ | ✓ |
| 18. How to select an engineering partner for semiconductor design and verification? | ✗ | ✗ | ✓ |
| 19. What are leading companies in engineering R&D outsourcing for Fortune 500? | ✗ | ✗ | ✓ |
| 20. Which companies offer reference designs to accelerate time-to-market? | ✓ | ✗ | ✓ |
| 21. How can startups find affordable product engineering services for prototypes? | ✗ | ✗ | ✓ |
| 22. What companies specialize in wireless connectivity engineering for IoT? | ✗ | ✗ | ✓ |
| 23. Which partners can help with legacy product modernization and redesign? | ✗ | ✓ | ✓ |
| 24. How to find engineering services combining design with manufacturing support? | ✗ | ✗ | ✓ |
| 25. What firms provide DevOps and cloud engineering for connected product platforms? | ✗ | ✗ | ✓ |
| 26. Which companies offer cybersecurity engineering services for IoT devices? | ✗ | ✗ | ✓ |
| 27. How can healthcare companies find partners for digital health platform development? | ✗ | ✗ | ✗ |
| 28. What firms have experience with video and camera system development? | ✓ | ✓ | ✓ |
| 29. Which companies provide design verification services for complex SoCs? | ✗ | ✗ | ✓ |
| 30. How to evaluate engineering partners for AI and machine learning capabilities? | ✗ | ✗ | ✗ |
| 31. What are top engineering services companies in India with global delivery? | ✓ | ✗ | ✓ |
| 32. Which firms specialize in power electronics design for industrial applications? | ✗ | ✗ | ✗ |
| 33. How can manufacturers find partners for predictive maintenance IoT systems? | ✗ | ✗ | ✗ |
| 34. What companies offer product sustenance and lifecycle management services? | ✗ | ✗ | ✗ |
| 35. Which partners provide integrated hardware-software-cloud solutions? | ✗ | ✗ | ✗ |
| 36. How to find firms with experience in smart home and building automation products? | ✗ | ✗ | ✗ |
| 37. What are key criteria for evaluating partners in regulated industries? | ✗ | ✗ | ✗ |
| 38. Which companies specialize in engineering services for the semiconductor industry? | ✗ | ✗ | ✗ |
| 39. How can industrial automation companies find partners for robotics and autonomous systems? | ✗ | ✗ | ✗ |
| 40. What firms have strong partnerships with major silicon vendors like NXP and Qualcomm? | ✓ | ✗ | ✓ |
| eInfochips Hit Rate (40 Queries) | 6/40 (15%) | 2/40 (5%) | 27/40 (67.5%) |
Section 7
Visibility by Topic Cluster
Performance varies dramatically across technology areas
Cluster
ChatGPT
Gemini
Claude
Semiconductor/ASIC
0%
0%
80%
Automotive ADAS
0%
0%
50%
Medical Devices
50%
0%
100%
IoT/Product Engineering
20%
20%
80%
Partnerships (Qualcomm/NXP)
67%
33%
100%
Video/Camera Systems
100%
100%
100%
🎯 Critical Gap: Automotive ADAS
0% visibility on ChatGPT and Gemini for automotive ADAS queries—a $50M+ market segment for eInfochips. When Tier 1 suppliers ask "Which firms provide ASIL-compliant embedded software?", Intellias and Quest Global appear. Not eInfochips.
Section 8
The Arrow Opportunity
You're Arrow's semiconductor arm—but AI doesn't know it
eInfochips was acquired by Arrow Electronics ($33B revenue) in 2018. This gives you direct early access to Qualcomm Snapdragon Ride, NXP S32, and Nvidia platforms through Arrow's ecosystem. Yet when AI platforms discuss these partnerships, they cite Arrow—not eInfochips.
| Query Where Arrow Gets Cited | Platform | eInfochips Mentioned? |
|---|---|---|
| Q16: "EV charging infrastructure embedded systems partners?" | Gemini | NO |
| Q20: "Qualcomm/NXP reference design ecosystem access?" | ChatGPT, Gemini | NO |
| Q40: "Design partners with early Qualcomm/NXP platform access?" | ChatGPT, Gemini, Claude | YES (Claude only) |
💡 The Arrow Disconnect
AI knows Arrow has Qualcomm partnerships. AI knows Arrow has NXP ecosystem access. But AI doesn't connect eInfochips to Arrow. The fix:
1. Schema Markup: Add
2. Content Updates: Change "eInfochips" → "eInfochips, an Arrow Electronics company" in first paragraph of every product page
3. Arrow Backlinks: Get Arrow.com to link to eInfochips.com/arrow-partnership with joint case studies
4. Joint PR: Arrow + eInfochips co-authored content on Qualcomm Snapdragon Ride, NXP S32 design wins
1. Schema Markup: Add
parentOrganization JSON-LD to every eInfochips page2. Content Updates: Change "eInfochips" → "eInfochips, an Arrow Electronics company" in first paragraph of every product page
3. Arrow Backlinks: Get Arrow.com to link to eInfochips.com/arrow-partnership with joint case studies
4. Joint PR: Arrow + eInfochips co-authored content on Qualcomm Snapdragon Ride, NXP S32 design wins
Section 9
Semrush Reality Check
What Semrush tracks vs. what drives revenue
| What Semrush Tracks | Audience | What Drives Revenue | Audience |
|---|---|---|---|
| "einfochips company profile" (5.1K volume, 17 mentions) |
Job seekers, journalists | "Which firms have 200+ ASIC tape-outs at 7nm?" | VPs of Engineering |
| "career opportunities at eInfochips" (13 mentions) |
Recruiters, candidates | "Best partners for ISO 26262 automotive SoC design?" | Automotive CTOs |
| "einfochips share price" (8 mentions) |
Finance researchers | "Silicon-to-software product engineering partners?" | Product Leaders |
Semrush Accuracy for Buyer Intent: Less Than 5%
Of the 477 eInfochips mentions in Semrush, fewer than 25 come from actual procurement-intent queries. The rest? Job postings, company research, investor queries. Quest Global's "lower" score (26) outperforms eInfochips' "higher" score (30) because Quest's mentions are buyer-heavy. Semrush can't tell the difference between a recruiter and a $10M procurement manager.
Of the 477 eInfochips mentions in Semrush, fewer than 25 come from actual procurement-intent queries. The rest? Job postings, company research, investor queries. Quest Global's "lower" score (26) outperforms eInfochips' "higher" score (30) because Quest's mentions are buyer-heavy. Semrush can't tell the difference between a recruiter and a $10M procurement manager.
"Semrush tracks 'einfochips careers.' Xtrusio tracks 'Which firms can tape out a 3nm SoC?' That's the difference between measuring noise and measuring revenue."
— Xtrusio Search Intent Architecture
Section 10
Quick-Win Recommendations
Immediate, short-term, and long-term actions
0-30 Days: Close the ChatGPT Gap
Target the 3 highest-impact missing pages
- Create /semiconductor-design-services/asic-fpga-capabilities/ (Q8: ASIC/FPGA specialists)
- Create /automotive/adas-embedded-software-development/ (Q2: ADAS partners)
- Add
parentOrganization: Arrow Electronicsschema to all product pages - Update homepage first paragraph: "eInfochips, an Arrow Electronics company, provides..."
30-90 Days: Build Content Hubs
Own the educational layer AI prefers to cite
- Launch /silicon-to-software-engineering/ hub (Q4, Q12: full-stack product engineering)
- Create eInfochips vs Quest Global comparison page (own the narrative)
- Publish 10 blog posts answering ChatGPT gap questions (Q2, Q8, Q18, Q29)
- Create /automotive/iso-26262-asil-compliance/ page
90+ Days: Build Authority Signals
External validation that AI trusts
- EE Times / EDN thought leadership: "How Arrow + eInfochips accelerate time-to-market with Qualcomm ecosystem"
- Qualcomm.com / NXP.com joint webinars and case studies (backlinks to eInfochips)
- Update G2, Clutch, GoodFirms profiles with "Arrow company" positioning
- Monthly monitoring: Track ChatGPT visibility for 40 queries, adjust content strategy
Section 11
Xtrusio AEO/GEO Strategy
Powered by the Xtrusio Organic Growth Engine
This strategy translates audit findings into a structured, actionable roadmap using Xtrusio's six-module methodology. This is where the report transitions from "here's what's broken" to "here's exactly how Xtrusio fixes it."
Module 1: Pulse Strategy (Timing)
Publish when semiconductor buyers are actively researching
- Q4 Budget Planning (Sept-Nov): Launch ADAS content 4-6 weeks before automotive OEM budget cycles
- CES / Embedded World (Jan-Mar): Publish Qualcomm/NXP partnership content pre-event
- Computex (May-Jun): ASIC/FPGA capability announcements timed to semiconductor design peaks
Module 2: AEO/GEO Optimization
3-Step Protocol to own AI answers
- Step 1 - Schema & Text: Wiki-style definition blocks + JSON-LD (SoftwareApplication, FAQPage, HowTo)
- Step 2 - Authority Signals: Backlinks from Arrow.com, Qualcomm partners page, EE Times, TSMC OIP directory
- Step 3 - Content Expansion: Surround each definition with 3-5 supporting articles (Q&A, comparisons, how-tos)
- Priority Pages: "/what-is-asic-design/", "/automotive-adas-software-development/", "/silicon-to-software-engineering/"
Module 3: Magnet Funnel (Lead Capture)
Interactive tools that convert discovery-phase traffic
- ASIC Cost Calculator: "Estimate your chip development costs" (target 5%+ conversion, answers Q8)
- ADAS Verification Assessment: "Score your ISO 26262 readiness" (Q2, Q30)
- ISO 13485 Compliance Checklist: Medical device design readiness (Q1, Q17)
- Funnel entry points tied to ChatGPT gap queries (Q2, Q4, Q8, Q18)
Module 4: Authority Ring (Credibility)
External validation signals AI platforms trust
- Tier 1 - Premium PR: EE Times, EDN, Embedded Systems Design, Semiconductor Engineering (DA 60+)
- Tier 2 - Niche Directories: G2, Clutch, GoodFirms, Gartner Peer Insights with "Arrow company" positioning
- Tier 3 - Ecosystem: Qualcomm Design Partners directory, NXP Connects, Arrow.com/einfochips dedicated page
- All placements echo same definition language as eInfochips.com (AI gains confidence when multiple authorities agree)
Module 5: Content Engine (SEO + AEO)
Prioritized calendar based on audit gaps
- Week 1-2: ADAS embedded software page (Q2: 0% ChatGPT → target 70%)
- Week 3-4: Silicon-to-software hub (Q4: 15% ChatGPT → target 80%)
- Week 5-6: ASIC/FPGA capabilities (Q8: 0% ChatGPT → target 75%)
- Week 7-8: Qualcomm/NXP partnership showcase (Q40: strengthen Claude, expand to ChatGPT)
- Internal linking: All new pages link to "/arrow-partnership/" to build topical authority
Module 6: Marketing Automation (Nurture)
Convert AI-sourced traffic into pipeline
- Lead capture flows for ASIC calculator, ADAS assessment, ISO 13485 checklist
- Email sequences by persona: Chip Architect (semiconductor focus), Med-Tech Leader (regulatory compliance), Automotive Engineer (ASIL/functional safety)
- CRM integration: Tag leads by entry point (which gap query brought them)
- Retargeting: Visitors who engage with AEO-optimized content but don't convert
Xtrusio Results Projection
| Metric | Current (Audit) | 3-Month Target | 6-Month Target | 12-Month Target |
|---|---|---|---|---|
| ChatGPT Visibility | 15% | 35% | 55% | 70% |
| Gemini Visibility | 5% | 25% | 45% | 60% |
| Claude Visibility | 67.5% | 75% | 80% | 85% |
| Weighted Buyer Reach | 26.6% | 43% | 59% | 72% |
| AI-Sourced RFP Leads | ~0/mo | 8/mo | 18/mo | 30/mo |
This strategy is built on the Xtrusio Organic Growth Engine — the system that turns AI invisibility into predictable lead pipelines.
See the full Xtrusio methodology →
The Gap is Fixable. The Window is Now.
Activate Your Xtrusio Growth Engine Before Quest Global Widens the ChatGPT Lead
