AI names dozens of staffing firms for these questions.
Local World is not one of them.
Across 20 buyer-intent questions on ChatGPT, Claude & Gemini, Local World Inc. is mentioned on 0 of 60 responses (0%). K2 Partnering, RED Global & Dexian take the SAP staffing questions; Coastal Cloud & Kicksaw take the Salesforce ones. A 13-year firm with Fortune 500 clients is absent from the AI answers its buyers may encounter during early-stage research.
The findings below come from Xtrusio, an AI visibility audit system built specifically for B2B buyer-intent testing. Every mention was verified by running 20 real prospect queries across three generative AI platforms.
This audit measures how ChatGPT, Claude & Gemini represent SAP and Salesforce staffing firms when enterprise buyers research talent partners during discovery.
Zero mentions across sixty responses — every platform, every question.
This is not a single-platform gap where one AI engine still surfaces the firm. On all three platforms, for all 20 buyer questions, the models answer confidently with named firms — K2 Partnering and Dexian for SAP, Coastal Cloud and Kicksaw for Salesforce, TEKsystems and Experis for multi-domain — and Local World appears in none of them.
Platform Scorecard
Local World mention rate versus the firms AI recommends instead
AI Visibility Leaderboard
Who owns the AI conversation — total mentions across all platforms
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 SAP transformation talent, Salesforce managed services, or multi-domain program staffing during discovery — before any vendor is named. These are the buyers whose AI results determine whether Local World gets discovered at all.
Buyer Personas
3 verified LinkedIn decision-makers behind these 20 queries
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| 1 | Independent SAP experts vs. the SI | SAP Talent | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We’re kicking off an S/4HANA migration and I’m worried about being too dependent on our systems integrator. How can we bring in independent SAP experts who genuinely represent our interests?” | |||||
| 2 | Fast S/4HANA FICO/MM/SD staffing | SAP Talent | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What’s the fastest way to staff experienced S/4HANA functional consultants (FICO, MM, SD) for a conversion with a tight go-live date?” | |||||
| 3 | Stabilizing a troubled SAP program | SAP Talent | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our SAP implementation is going sideways — timeline slipping, quality dropping. Who can bring in senior talent to stabilize a troubled SAP program?” | |||||
| 4 | Deepest S/4HANA bench in North America | SAP Talent | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which staffing agencies have the deepest bench of certified S/4HANA consultants in North America?” | |||||
| 5 | OCM lead + data-migration for greenfield | SAP Talent | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do I quickly find an SAP OCM lead and data-migration specialists for a greenfield implementation?” | |||||
| 6 | SAP Business Suite 7 CoE strategy | SAP Talent | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “With SAP Business Suite 7 mainstream maintenance ending in 2027, how should a mid-market manufacturer build an SAP CoE hiring strategy?” | |||||
| 7 | Salesforce consultancy vs. dedicated talent | Salesforce | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We need to implement Salesforce for our sales team and have no in-house expertise — should we hire a consultancy or bring in dedicated Salesforce talent?” | |||||
| 8 | Rescuing a failed Salesforce migration | Salesforce | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “A previous partner botched our Salesforce data migration between orgs and left duplicates and broken account hierarchies. Who can rescue a failed Salesforce migration?” | |||||
| 9 | Salesforce admin resigned — coverage | Managed Svcs | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Our only Salesforce admin just resigned with two weeks’ notice and we face a four-month hiring cycle. What are our options to keep the org running?” | |||||
| 10 | Managed pod vs. hiring admin + dev | Managed Svcs | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We have one stretched Salesforce admin for a 500-user org and requests queue for weeks. Is a managed-services pod cheaper than hiring a second admin plus a developer?” | |||||
| 11 | What a Salesforce retainer should include | Managed Svcs | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What should a good Salesforce managed-services retainer include for a mid-market company — administration, development, and architecture?” | |||||
| 12 | Top Salesforce MSPs for US mid-market | Managed Svcs | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Who are the top Salesforce managed-services providers for mid-market companies in the US?” | |||||
| 13 | Anti-lock-in / hand-back model | Managed Svcs | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “I’m worried a managed-services provider will learn our Salesforce org and lock us into dependency. Are there providers whose model is built to hand the org back to an internal hire?” | |||||
| 14 | Named, US-based Salesforce specialists | Managed Svcs | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “How do I avoid offshore night-shift contractors and get named, US-based Salesforce specialists I can actually call?” | |||||
| 15 | PMO leader + program manager, fast | Transformation | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “We’re running a large digital transformation and need a seasoned PMO leader and program manager who’ve done enterprise programs before. Where do we find them fast?” | |||||
| 16 | Data, analytics & cloud-architecture talent | Transformation | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Who can supply specialized data & analytics and cloud-architecture talent for an enterprise transformation program on a contract basis?” | |||||
| 17 | Cybersecurity staffing for transformation | Transformation | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Which firms provide cybersecurity staffing for enterprises undergoing digital transformation?” | |||||
| 18 | One partner across all six domains | Transformation | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Is there a single talent partner that can staff across SAP, Salesforce, data, cloud, cybersecurity and AI for one transformation program instead of juggling multiple vendors?” | |||||
| 19 | Salesforce AI (Agentforce) readiness | AI Readiness | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “Before we invest in Salesforce AI (Agentforce/Einstein), how do we assess whether our data and org are actually ready?” | |||||
| 20 | Realistic resume turnaround | Staffing | ✗ | ✗ | ✗ |
Exact question asked across all AI platforms: “What’s a realistic turnaround to get qualified enterprise SAP or Salesforce consultant resumes on our desk — days or weeks?” | |||||
| TOTAL | 0/20 (0%) | 0/20 (0%) | 0/20 (0%) | ||
The Total Blackout
Zero mentions on every platform, on every question
Most audits surface a gap on one platform while another still recommends the firm. Local World has no such anchor. On ChatGPT, Claude, and Gemini alike, the models answer every question fluently — naming real, comparable staffing and managed-services firms — and Local World appears in none of the 60 responses. The two questions built directly on the firm’s own 2026 positioning are lost the same way.
“Is there a single talent partner that can staff across SAP, Salesforce, data, cloud, cybersecurity and AI for one transformation program instead of juggling multiple vendors?”
“How do I avoid offshore night-shift contractors and get named, US-based Salesforce specialists I can actually call?”
Local World’s services exist, its clients are real, and its positioning is sharp. But across 60 AI responses the firm is mentioned zero times. When a buyer asks any of these 20 questions, the answer they read names a competitor — a separate source-authority audit is needed to determine whether limited third-party category coverage is contributing to the visibility gap.
AI Topic Authority Map
Query heatmap — service line × platform
| Topic | AI Leader | Local World Status |
|---|---|---|
| SAP transformation staffing | K2 Partnering | INVISIBLE (0/3) |
| S/4HANA bench depth | Dexian | INVISIBLE (0/3) |
| Salesforce managed services | Coastal Cloud | INVISIBLE (0/3) |
| Salesforce migration rescue | Kicksaw | INVISIBLE (0/3) |
| Multi-domain transformation talent | TEKsystems | INVISIBLE (0/3) |
| Cybersecurity staffing | CyberSN | INVISIBLE (0/3) |
| Salesforce AI readiness | Oktana | INVISIBLE (0/3) |
6 queries
2 queries
6 queries
4 queries
1 query
1 query
▹ All six Local World service lines return 0% on all three platforms — SAP Talent, the firm’s 13-year core, is as invisible as its newest AI Readiness line.
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework. No Semrush AI Visibility data was included in this engagement.
Recommendations
Prioritized actions to move Local World off zero
- Create head-to-head comparison pages: Local World vs K2 Partnering & Dexian (SAP), and vs Coastal Cloud & Kicksaw (Salesforce managed services).
- Publish the Salesforce migration-rescue and admin-resignation case studies as standalone, indexable pages with structured data.
- Turn existing client outcomes into stronger indexable case studies, naming clients where permission allows, and add appropriate structured data to improve machine-readable context.
- Identify third-party roundups that rank for these buyer queries or are actually cited/retrieved by target engines, then prioritize relevant placements.
- Pitch the SI-independence and Salesforce “exit ramp” theses as guest analysis to industry publications and directories (Clutch, aggregators).
- Publish pillar content for each practice area so the “one partner across SAP, Salesforce, data, cloud, cyber & AI” and 100%-US positioning earns independent mentions.
- Quarterly Xtrusio re-audits to track movement off zero.
Local World is missing from the AI discovery layer tested here.
Zero of sixty AI answers. Let’s change the number.
