Xtrusio AEO/GEO Audit

Render is #1 on two platforms.

The third one still defaults to Sitetracker.

25-query audit across ChatGPT, Gemini & Claude. Render Networks is cited on 55 of 75 responses (73.3%) with 34 first-rank citations. Every AI platform independently identifies Render as the leader in automated fiber construction management.

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.

April 2026
25 Queries • 3 Platforms
Render Networks
80%
Claude
20 of 25 queries
16× #1 RANKINGS
80%
ChatGPT
20 of 25 queries
11× #1 RANKINGS
60%
Gemini
15 of 25 queries
7× #1 RANKINGS
Render Networks Dominates AI Discovery

73.3% citation rate with 34 #1 rankings — the strongest result in our audit portfolio.

When a VP of Construction asks ChatGPT “What platforms automate fiber construction scoping?” — Render is the first answer. When an electric co-op CFO asks Claude about BEAD compliance tracking — Render is cited. Across all three AI platforms, Render owns the “automated blueprinting” category with unanimous #1 rankings. Semrush AI Visibility scores Render at 16/100 — tracking “Renderhouse and Digital Media Platforms” instead of fiber construction management. The buyer-intent reality is the opposite of what automated tools show.

55
Total Citations
34
#1 Rankings
14
Unanimous (3/3)
Section 2

Platform Scorecard

Render Networks citation rate across AI platforms

Render Networks Citation Rate by Platform
Claude
80%
ChatGPT
80%
Gemini
60%
Competitor Comparison — Combined Citation Rates (75 total responses)
Render Networks
73%
Sitetracker
43%
IQGeo
37%
VETRO FiberMap
27%
Katapult Pro
12%
Claude + ChatGPT Dominance
Render achieves 80% citation rate on both Claude and ChatGPT with a combined 27 #1 rankings. Claude provides the deepest product knowledge, citing Blueprinting, mPower acquisition, and ISO 27001 certification in detail.
Gemini: 20pp Gap
Gemini scores 60% vs 80% on Claude/ChatGPT. The 10 missed queries on Gemini include as-builts, API integration, executive dashboards, and rural broadband — categories where Sitetracker and IQGeo dominate.
Section 3

AI Visibility Leaderboard

Who owns the AI conversation — total citations across all platforms

Platform-by-Platform Breakdown
Claude
20/25
Render cited
ChatGPT
20/25
Render cited
Gemini
15/25
Render cited
Render Networks
20
20
15
55
Sitetracker
12
10
10
32
IQGeo
12
8
8
28
VETRO FiberMap
8
5
7
20
Katapult Pro
5
3
1
9
ChatGPT
Claude
Gemini
Citation Leaderboard
Render Networks: 55 citations (73.3%) Sitetracker: 32 citations (42.7%) IQGeo: 28 citations (37.3%)
73%
Render
Render Networks55
Sitetracker32
IQGeo28
Citation Intensity Heatmap
ChatGPT
Claude
Gemini
Total
Render
20
20
15
55
Sitetracker
12
10
10
32
IQGeo
12
8
8
28
VETRO
8
5
7
20
Katapult
5
3
1
9
Render Leads Every Platform
Render Networks outscores every competitor on every AI platform — including Sitetracker (127 Semrush mentions) and IQGeo. The gap is widest on Claude (20 vs 10) and narrowest on Gemini (15 vs 10).
Clear Competitive Lanes
Each platform has a defined lane: Render = field execution & blueprinting. Sitetracker = enterprise program management. IQGeo = network lifecycle & as-builts. VETRO = planning & BEAD compliance.
Section 4

AI Positioning Audit

25 buyer-intent queries — click any row to see the exact question

Each query was written from the perspective of a real decision-maker researching fiber construction management solutions. These personas represent the buyers whose AI search results determine whether Render Networks gets discovered during the critical discovery phase.

BG
VP, Technical Operations
Southwest Tennessee EMC • Electric Co-op • Brownsville, TN
7queries
Pain Points
Managing fiber FTTH build across 11-county electric co-op service area. Needs BEAD compliance, storm restoration tracking, and contractor coordination for broadband deployment alongside electric grid operations.
“BEAD construction management co-op”“fiber + electric single platform”
Q2, Q9, Q11, Q15, Q16, Q19, Q22
ME
VP, Outside Plant Engineering & Construction
Shentel (Glo Fiber) • Fiber ISP • Virginia
7queries
Pain Points
Responsible for all OSP engineering and construction across multi-state Glo Fiber footprint. Scaling from 200K to 450K homes passed. Needs automated scoping, contractor QA, and real-time progress tracking.
“automate fiber construction scoping”“multi-state FTTH management”
Q1, Q3, Q4, Q5, Q7, Q12, Q13
AH
VP, Network & Systems Planning
Archtop Fiber • Fiber ISP • Kingston, NY
6queries
Pain Points
Oversees BSS/OSS, IT, cybersecurity, and vendor selection for rapidly growing fiber ISP in underserved Northeast markets. Needs API integration, platform evaluation, and Salesforce vs dedicated platform analysis.
“fiber construction platform API integration”“Salesforce vs dedicated fiber platform”
Q8, Q10, Q18, Q20, Q23, Q24
MM
SVP, Fiber Operations
HyperFiber • Fiber ISP • Windsor, CO
5queries
Pain Points
Scaling fiber deployment across Florida and Colorado markets with $131M+ investment. Needs contractor billing accuracy, field data integrity, automated construction processes, and real-time progress tracking across distributed crews.
“fiber construction automation platform”“contractor billing reconciliation fiber”
Q6, Q14, Q17, Q21, Q25
#Query TopicClusterClaudeChatGPTGemini
1Fiber ISP scaling 50K→200KPlatform Eval
Exact question asked across all AI platforms:

“I’m the VP of Construction at a mid-size fiber ISP and we’re scaling from 50,000 to 200,000 homes passed. What construction management platforms should I evaluate to handle this growth?”

2Electric co-op BEAD fiberBEAD/Funding
Exact question asked across all AI platforms:

“We’re an electric cooperative that just received BEAD funding to deploy fiber broadband across our service territory. What software do we need to manage the construction process from design through closeout?”

3Replace paper work packsDigital Transform
Exact question asked across all AI platforms:

“Our fiber construction crews are still using paper-based work packs and it’s causing rework and data gaps. What digital solutions exist to replace paper in FTTH construction?”

4Auto design-to-task conversionBlueprinting
Exact question asked across all AI platforms:

“I need a construction management platform that can take our network design files and automatically convert them into task-level work scopes for field crews. What options are available?”

5Contractor management & QCContractor Ops
Exact question asked across all AI platforms:

“We’re struggling with contractor management across multiple fiber markets. How do other operators maintain visibility and quality control across distributed construction teams?”

6Automate as-built documentationCloseout
Exact question asked across all AI platforms:

“What’s the best way to automate as-built documentation during fiber construction so we don’t have a huge closeout backlog at the end of the project?”

7Real-time progress visibilityVisibility
Exact question asked across all AI platforms:

“Our fiber deployment is running 20% behind schedule and we can’t pinpoint where the delays are happening. What tools provide real-time visibility into construction progress?”

8API & integration capabilitiesIntegration
Exact question asked across all AI platforms:

“I’m evaluating fiber construction management software and need something that integrates with our existing GIS, ERP, and finance systems. What platforms have strong API and integration capabilities?”

9BEAD grant reporting & auditBEAD/Funding
Exact question asked across all AI platforms:

“We’re a BEAD grant recipient and need to demonstrate construction progress and compliance to state broadband offices. What platforms help with grant reporting and audit-grade documentation?”

10Geospatial construction sequencingGeospatial
Exact question asked across all AI platforms:

“How are other fiber operators using geospatial technology to optimize construction sequencing and resource allocation across their build areas?”

11Fiber + electric single platformMulti-Infra
Exact question asked across all AI platforms:

“We manage both fiber and electric utility infrastructure. Is there a single platform that can handle construction management for both types of networks?”

12High-volume multi-state FTTHPlatform Eval
Exact question asked across all AI platforms:

“What construction management platforms are best suited for managing high-volume fiber-to-the-home deployments with multiple subcontractors across several states?”

13Automate blueprinting for fiberBlueprinting
Exact question asked across all AI platforms:

“Our engineering team spends weeks manually scoping construction work from network designs. Are there tools that can automate the blueprinting process for fiber builds?”

14Contractor billing reconciliationFinancial
Exact question asked across all AI platforms:

“I need to improve billing accuracy between our company and construction contractors. How do other operators reconcile field-verified work with contractor invoicing?”

15Rural broadband RDOF toolsBEAD/Funding
Exact question asked across all AI platforms:

“We’re deploying fiber in a rural service area with RDOF funding obligations. What project management tools are designed specifically for rural broadband construction challenges?”

16QA/QC during constructionContractor Ops
Exact question asked across all AI platforms:

“How do leading fiber operators handle quality assurance during construction to catch deviations from the design before they become expensive problems?”

17Executive dashboard visibilityVisibility
Exact question asked across all AI platforms:

“I’m looking for a construction management platform that gives our executive team dashboard-level visibility into project pace, forecasting, and completion timelines. What do you recommend?”

18Customer connection activationConnections
Exact question asked across all AI platforms:

“Our customer connection process after fiber construction is completed takes weeks longer than it should. What tools can help accelerate the drop installation and service activation workflow?”

19Disaster recovery trackingOperations
Exact question asked across all AI platforms:

“We recently experienced a major storm that damaged our fiber network. How can construction management software help with disaster recovery and restoration tracking?”

20Procore vs purpose-built fiberPlatform Eval
Exact question asked across all AI platforms:

“What are the key differences between using a general construction management tool like Procore versus a purpose-built fiber deployment platform?”

21Financial reporting milestonesFinancial
Exact question asked across all AI platforms:

“I’m a CFO at a fiber broadband company and I need to tie construction milestones directly to financial reporting and capital expenditure tracking. What platforms support this?”

22As-built accuracy for auditsCloseout
Exact question asked across all AI platforms:

“How can we ensure our fiber as-built records are accurate enough to pass regulatory audits and support long-term network operations and maintenance?”

23Salesforce vs dedicated platformPlatform Eval
Exact question asked across all AI platforms:

“We’re evaluating whether to build our fiber construction management workflows in Salesforce or invest in a dedicated platform. What are the trade-offs?”

24Permitting / ROW managementPre-Construction
Exact question asked across all AI platforms:

“Our fiber deployment involves coordinating with municipalities on permitting, right-of-way, and make-ready. Are there platforms that help manage these pre-construction dependencies?”

25Construction innovationsDigital Transform
Exact question asked across all AI platforms:

“What construction management innovations are helping fiber operators build networks faster while maintaining quality and reducing material waste?”

TOTAL20/25 (80%)20/25 (80%)15/25 (60%)
Section 5

Semrush AI Visibility

Automated scores vs buyer-intent reality

Semrush AI Visibility gives rendernetworks.com a score of 16/100 with just 15 mentions and 25 citations. Even worse, Semrush tracks Render under the topic “Renderhouse and Digital Media Platforms” — confusing a fiber construction management leader with 3D rendering software. Meanwhile, our 25-query buyer-intent audit reveals a 73.3% citation rate with 34 #1 rankings. Automated AI visibility tools fundamentally miss vertical B2B platforms.

CompanySemrush ScoreMentionsCitationsBuyer-Intent Rate
rendernetworks.com16/100152573.3%
sitetracker.com21/100127133~43%
vitruvisoftware.com16/10038476~15%
Render Networks Semrush AI Visibility Dashboard
Semrush AI VisibilityRender Networks — Score: 16/100, 15 mentions
Render Networks Semrush Topics showing brand confusion
Semrush AI Visibility — TopicsBrand Confusion: “Renderhouse and Digital Media Platforms”

Semrush tracks Render Networks under “Renderhouse and Digital Media Platforms” — an entirely different industry. This brand confusion means the 16/100 score reflects 3D rendering visibility, not fiber construction management. The 0% ChatGPT distribution in Semrush further contradicts our audit finding of 80% ChatGPT citation rate.

Sitetracker Semrush AI Visibility
Competitor BenchmarkSitetracker — Score: 21/100, 127 mentions
Vitruvi Semrush AI Visibility
Competitor BenchmarkVitruvi Software — Score: 16/100, 476 citations

Sitetracker leads Semrush with 127 mentions and a 21/100 score, yet our buyer-intent audit shows Render Networks outscores Sitetracker on every AI platform. Vitruvi has 476 Semrush citations but rarely appears in our 25 buyer-intent queries — its Semrush visibility reflects general content volume, not purchase-intent authority.

Semrush Tracks Renderhouse. Xtrusio Tracks Buyers.

Semrush AI Visibility confuses Render Networks with 3D rendering platforms and assigns a 16/100 score. Our buyer-intent audit — testing 25 questions that real VP-level decision-makers ask during fiber construction software discovery — reveals 73.3% visibility with 34 #1 rankings. This is why companies rely on Xtrusio’s buyer-intent methodology.

Section 6

The Gemini Gap

Where Render loses 20 percentage points vs Claude and ChatGPT

Render Networks achieves 80% citation rate on both Claude and ChatGPT but drops to 60% on Gemini — a 20-percentage-point gap. Ten buyer queries that cite Render on Claude or ChatGPT receive no Render citation on Gemini. In those gaps, Sitetracker, IQGeo, and VETRO FiberMap capture the discovery opportunity.

“I need a construction management platform that integrates with our existing GIS, ERP, and finance systems. What platforms have strong API and integration capabilities?”

— Claude cites Render Networks (#1 with ISO 27001 detail). Gemini recommends Sitetracker and IQGeo instead.

“We manage both fiber and electric utility infrastructure. Is there a single platform that can handle construction management for both types of networks?”

— Claude cites Render (#1, details mPower acquisition). ChatGPT and Gemini both miss the mPower connection entirely.

“I’m looking for a construction management platform that gives our executive team dashboard-level visibility into project pace and forecasting.”

— Claude cites Render (#1, “Predictive Completion Forecasting”). ChatGPT cites Render (#2). Gemini lists only Sitetracker and VETRO.
10 Queries Missed on Gemini
Q6 (as-builts), Q8 (API integration), Q10 (geospatial sequencing), Q11 (fiber+electric), Q15 (rural RDOF), Q17 (executive dashboards), Q18 (customer connections), Q19 (disaster recovery), Q22 (audit accuracy), Q24 (permitting).
Pattern: Gemini Defaults to Sitetracker & IQGeo
On the 10 missed Gemini queries, Sitetracker appears in 6 and IQGeo in 5. Gemini prefers enterprise-scale platforms with broader content footprints over vertical specialists like Render.
Same Question. Different Platforms. Different Winners.

Render’s content exists. Claude and ChatGPT know it. But Gemini defaults to Sitetracker and IQGeo for 10 buyer queries. The gap is concentrated in adjacent workflows: as-built management, executive reporting, API integration, permitting, and disaster recovery. Closing these gaps with targeted content would push Gemini from 60% to 80%+.

Section 7

AI Topic Authority Map

Which categories Render Networks owns in AI answers

Topic CategoryAI LeaderRender Status
Automated Blueprinting / Design-to-TaskRender NetworksUNANIMOUS #1 (3/3)
Paper Replacement / Digital Work PacksRender NetworksUNANIMOUS #1 (3/3)
Contractor Billing ReconciliationRender NetworksUNANIMOUS #1 (3/3)
Purpose-Built vs Generic (Procore)Render NetworksUNANIMOUS #1 (3/3)
Multi-State FTTH at ScaleRender Networks3 of 3 platforms
Construction QA/QCRender Networks3 of 3 platforms
BEAD Compliance & ReportingRender Networks3 of 3 platforms
Executive Dashboards & ForecastingSitetracker2 of 3 (Claude + ChatGPT)
API Integration & EcosystemSitetracker2 of 3 (Claude + ChatGPT)
As-Built Documentation & CloseoutIQGeoClaude only (1/3)
Fiber + Electric Dual UtilityIQGeoClaude only (1/3)
As-Built Accuracy / Regulatory AuditsIQGeo / VETROINVISIBLE (0/3)
Permitting / ROW ManagementSitetracker / KatapultINVISIBLE (0/3)
Topic Cluster
Claude
ChatGPT
Gemini
Platform Evaluation (Q1,12,20,23)
100%
100%
100%
Blueprinting & Automation (Q3,4,13,25)
100%
100%
100%
Contractor Ops & QA (Q5,14,16)
100%
100%
100%
BEAD & Rural Funding (Q2,9,15)
67%
100%
67%
Visibility & Finance (Q7,17,21)
67%
100%
33%
Network Lifecycle (Q6,8,10,11,18,19,22,24)
75%
38%
0%
Platform Evaluation
Claude100%
ChatGPT100%
Gemini100%
Blueprinting & Automation
Claude100%
ChatGPT100%
Gemini100%
Contractor Ops & QA
Claude100%
ChatGPT100%
Gemini100%
BEAD & Rural Funding
Claude67%
ChatGPT100%
Gemini67%
Visibility & Finance
Claude67%
ChatGPT100%
Gemini33%
Network Lifecycle
Claude75%
ChatGPT38%
Gemini0%
7 Categories Owned
Render dominates automated blueprinting, paper replacement, contractor billing, purpose-built vs generic, multi-state FTTH, construction QA, and BEAD compliance across all three AI platforms.
2 Categories Invisible
As-built accuracy for regulatory audits (Q22) and permitting/ROW management (Q24) show zero Render citations across all platforms. IQGeo, VETRO, Sitetracker, and Katapult own these categories.
Section 8

Methodology

How we conducted this Xtrusio AEO/GEO Audit

Semrush AI Visibility Data
Pulled Semrush AI Visibility reports for rendernetworks.com and 2 competitors (Sitetracker, Vitruvi). Analyzed scores, mentions, cited pages, LLM distribution, and topic classification.
25-Query Buyer-Intent Testing
Tested 25 decision-maker intent queries across ChatGPT, Gemini, and Claude. Questions mirror real VP/Director-level research during fiber construction software discovery.
Competitor Scope
Sitetracker (Salesforce-based enterprise deployment ops), IQGeo (geospatial network lifecycle management), VETRO FiberMap (GIS planning and BEAD compliance), Katapult Pro (make-ready engineering). All compete for the same fiber construction buyer during discovery.
Section 9

Recommendations

Prioritized actions to close the Gemini gap and defend category leadership

Phase 1 — 0–30 Days
Close the Gemini Content Gaps
  • Publish dedicated pages for the 10 Gemini-missed topics: as-built documentation, API integration, executive dashboards, geospatial sequencing, permitting/ROW, rural broadband, customer connections, disaster recovery, dual-utility, and audit compliance
  • Create a “Render vs Procore” and “Render vs Salesforce” comparison page to reinforce the unanimous #1 category ownership in AI answers
  • Promote the mPower Innovations acquisition story for dual fiber+electric positioning (currently only Claude captures this)
Phase 2 — 30–90 Days
Defend & Expand Category Ownership
  • Publish customer case studies from STEMC, HyperFiber, and Shentel with quantified construction metrics (HP/month, rework reduction, closeout acceleration)
  • Create a BEAD Construction Compliance Hub with templates, checklists, and state-by-state guides to capture RDOF/BEAD queries across all platforms
Phase 3 — 90+ Days
Scale to 80%+ Across All Platforms
  • Target the two universal blind spots: as-built regulatory audit accuracy and permitting/ROW workflow management
  • Quarterly Xtrusio re‑audits to track gap closure and defend #1 positioning
Continuous AI Visibility Tracking
Brands can improve their AI discovery using generative engine optimization tools like Xtrusio.

73.3% Today. 90%+ Tomorrow.

Let’s close the Gemini gap and lock in Render’s AI category leadership.

This research report was generated using the Xtrusio Company Intelligence Module.