Xtrusio AEO/GEO Audit

Ask any AI about configuration drift, and Puppet is named every single time.

Ask about patching, and it disappears.

Across 20 buyer-intent queries on ChatGPT, Claude and Gemini, Perforce Puppet is cited on 42 of 60 responses (70%) — including a flawless 12 of 12 on drift, scale and audit trail. But across the nine patch-orchestration questions, Puppet is cited just once. AI platforms hand those buyers to Tanium, HCL BigFix and Automox instead — vendors Puppet’s own site does not list as competitors. Red Hat Ansible finishes ahead overall with 48 citations to Puppet’s 42.

The findings below come from Xtrusio, an AI visibility audit system built specifically for B2B buyer-intent testing. Every citation was verified by running 20 real prospect queries across three generative AI platforms.

Queries were written from the perspective of infrastructure and IT operations leaders evaluating configuration management, compliance enforcement and patch automation platforms.

August 2026
20 Queries • 3 Platforms • 60 Responses
Perforce Puppet
80%
ChatGPT
16 of 20 queries
5× #1 RANKINGS
70%
Claude
14 of 20 queries
7× #1 RANKINGS
60%
Gemini
12 of 20 queries
⚠ 1 ADVERSE CITATION
The Category Wall

Puppet has no awareness problem. It has a category problem.

Across all three platforms, Puppet scored 12 of 12 on configuration drift, scale, agentless enforcement and audit trail. On the same three platforms, across nine patch-orchestration questions, Puppet was cited 1 time — and was never the lead recommendation. The displacers differ by platform (Gemini names Tanium and Automox; ChatGPT names BigFix and Azure; Claude names Tanium and Qualys) but the exclusion is identical. Puppet’s homepage leads with CVE patching and its current blog headline is about OpenSSL patching. No AI platform has noticed. The platforms do not judge Puppet weak at patching — they do not think of Puppet in that category at all.

Section 2

Platform Scorecard

Where Puppet is found — and where buyers are sent elsewhere

Perforce Puppet Citation Rate by Platform
ChatGPT
80%
Claude
70%
Gemini
60%

▹ A 20-point spread across three platforms is unusually narrow. Established category brands produce cross-platform stability; the ceiling here is set by category boundaries, not by recognition.

Competitor Comparison — Total Citations Across 60 Responses
Red Hat Ansible
80%
Perforce Puppet
70%
Progress Chef
45%
Tanium
37%
HCL BigFix
33%
Salt / Broadcom
23%
CFEngine
18%
ChatGPT is Puppet’s best platform — and the only one that knows the newest product
16 of 20, with 5 first-place rankings. ChatGPT is also the sole platform of the three that names Puppet AI Infra Assistant when asked about AI-assisted infrastructure operations. Claude and Gemini both award that question entirely to competitors.
Gemini is the weakest — and one of its 12 citations works against Puppet
On the query about migrating away from a hard-to-hire-for DSL, Gemini names Puppet first — as the tool to leave, bracketed with CFEngine as legacy. It counts as a citation, but a buyer reading it is being steered out, not in.
Section 3

AI Visibility Leaderboard

Who owns the infrastructure automation conversation across 60 AI responses

Platform-by-Platform Breakdown
ChatGPT
16/20
Puppet cited
Claude
14/20
Puppet cited
Gemini
12/20
Puppet cited
Red Hat Ansible
16
17
15
48
Perforce Puppet
16
14
12
42
Progress Chef
6
10
11
27
Tanium
10
10
2
22
HCL BigFix
12
8
20
Salt / Broadcom
6
5
3
14
CFEngine
5
4
2
11
ChatGPT
Claude
Gemini
Citation Leaderboard
70%
Puppet
Red Hat Ansible48
Perforce Puppet42
Progress Chef27
Citation Intensity Heatmap
ChatGPT
Claude
Gemini
Total
Red Hat Ansible
16
17
15
48
Perforce Puppet
16
14
12
42
Progress Chef
6
10
11
27
Tanium
10
10
2
22
HCL BigFix
12
8
0
20
Salt / Broadcom
6
5
3
14
CFEngine
5
4
2
11
OpenVox (fork)
0
4
0
4
Ansible leads Puppet 48 to 42 — but Tanium and BigFix are the real signal
Losing to Ansible is expected: it holds roughly twice Puppet’s market share. The unexpected result is Tanium at 22 and HCL BigFix at 20 — endpoint-management vendors that appear nowhere on puppet.com as competitors, yet outrank Puppet on every patch-orchestration query.
The OpenVox fork now competes for Puppet’s own name — on Claude only
The community fork is cited 4 times on Claude, holds its own row in the vendor directory, and is framed as a lineage decision buyers must make: commercial relationship or community fork. Zero appearances on ChatGPT or Gemini. This will grow as the fork accumulates independent coverage.
Section 4

AI Positioning Audit

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

Every query was written from the perspective of a real decision-maker researching infrastructure automation, compliance enforcement or patch management — before they know which vendors exist. No query mentions Puppet, Perforce, or any competitor by name. These are the questions that decide whether Puppet enters the shortlist at all.

Target Buyer Sector VP/Director-level Infrastructure, IT Operations & Platform leaders at banks, retailers, government agencies and enterprise technology companies running thousands of Linux and Windows servers under audit
FA
VP Infrastructure, Operation & Cyber Security
Amar Bank • Digital Banking • Jakarta, Indonesia
7queries
Pain Points
Runs Infra, DevOps, Data and Security teams inside a regulated digital bank. Quarterly audit evidence collection consumes weeks; the scanner reports a compliance percentage but closes nothing; a critical CVE turns into a weekend fire drill; and the risk committee keeps asking who supports the open-source automation running in production.
“continuously enforce CIS benchmarks”“automated server hardening evidence”
Q4 • Q5 • Q7 • Q8 • Q9 • Q11 • Q13
MM
Senior Manager, Infrastructure Platform Services
LCBO • Retail • Toronto, Canada
7queries
Pain Points
Owns Windows, Linux and AIX platforms spanning corporate offices, distribution centres, colocation providers and hundreds of retail stores. Store-level network gear drifts with nobody on site; security won’t sign off on new agents; the board wants fewer infrastructure vendors on the invoice; and app teams queue behind his team for every config change.
“manage servers and network devices one platform”“consolidate infrastructure automation tools”
Q2 • Q3 • Q15 • Q16 • Q17 • Q19 • Q20
DB
VP, Global Head of Infrastructure & Operations
NetApp • Enterprise Technology • New York, USA
6queries
Pain Points
Accountable for a global hybrid estate across on-prem data centres and cloud, with federal customers imposing hardened baselines. Drift reappears weeks after manual fixes, nobody can say what a change will touch before it lands on 5,000 nodes, and a decade of open-source automation code sits in production with no vendor accountable for its CVEs.
“automatically revert configuration drift”“predict infrastructure change impact”
Q1 • Q6 • Q10 • Q12 • Q14 • Q18
#Query TopicProduct LineClaudeChatGPTGemini
1Auto-remediate configuration driftConfig Mgmt
Exact question asked across all three AI platforms:

“We keep finding servers that drifted out of spec weeks after someone made a manual change. What tools actually put the configuration back automatically instead of just alerting me?”

212,000 mixed-OS nodes at scaleConfig Mgmt
Exact question asked across all three AI platforms:

“We’re running about 12,000 mixed Linux and Windows servers across three data centres and two clouds. What configuration management platforms actually hold up at that node count?”

3Agentless enforcementConfig Mgmt
Exact question asked across all three AI platforms:

“Our security team won’t approve installing agents on production hosts. What agentless options exist for enforcing server configuration standards?”

4Defensible audit trailConfig Mgmt
Exact question asked across all three AI platforms:

“Auditors keep asking us to prove who changed what on a server and when. Which infrastructure automation tools give a defensible change and correction audit trail?”

5Continuous CIS enforcementCompliance
Exact question asked across all three AI platforms:

“Our scanner tells us we’re 68% CIS compliant but nothing fixes it. Is there a platform that continuously enforces CIS Benchmarks rather than just scoring us?”

6DISA STIG at fleet scaleCompliance
Exact question asked across all three AI platforms:

“We’re a defence supplier and need DISA STIG baselines applied and kept applied on RHEL and Windows Server. What commercial tooling handles STIG enforcement at fleet scale?”

7PCI DSS audit evidenceCompliance
Exact question asked across all three AI platforms:

“Every quarter we lose two weeks to audit evidence gathering for PCI DSS server hardening. What automation can produce that evidence continuously?”

8Commercial vs open-source hardeningCompliance
Exact question asked across all three AI platforms:

“We already use a vulnerability scanner and an open-source hardening framework. Is there a reason to buy a commercial compliance enforcement product on top?”

9Friday-night OpenSSL CVEPatching
Exact question asked across all three AI platforms:

“A critical OpenSSL CVE lands on a Friday. What tools let a small ops team scan, test, and roll out that patch across thousands of servers before Monday?”

10Patch approvals and staged rolloutPatching
Exact question asked across all three AI platforms:

“We want patch approvals, staged rollout, and confirmation reporting in one console instead of a scripts-and-spreadsheets process. What products do that for hybrid server fleets?”

11Scanner to auto-remediationPatching
Exact question asked across all three AI platforms:

“Our vulnerability scanner produces findings but nobody closes them. How do teams wire scanner output directly into automated remediation?”

12Hardened supported OSS buildsPuppet Core
Exact question asked across all three AI platforms:

“We’ve run open-source infrastructure automation for years, but nobody owns CVE fixes for it. Are there vendors that sell hardened, supported builds of open-source automation tools with patch SLAs?”

13Keep the code, add a support contractPuppet Core
Exact question asked across all three AI platforms:

“Our risk team is uncomfortable that a core automation tool in production has community-only support. What commercial options exist that keep our existing code but add a support contract?”

14Migrating off a hard-to-hire DSLPuppet Core
Exact question asked across all three AI platforms:

“We’re considering moving off our current configuration management tool because the DSL is hard to hire for. What are teams migrating to, and what does that migration actually cost?”

15Servers, network gear and POS in one planeEdge
Exact question asked across all three AI platforms:

“We manage servers with one tool, network switches and firewalls with another, and store POS devices with a third. Can any single platform enforce configuration across all three?”

16900 retail branches driftingEdge
Exact question asked across all three AI platforms:

“We have 900 retail branches with local network gear that drifts constantly and nobody visits. What automation handles configuration drift on distributed edge devices?”

17Vendor and tool consolidationEdge
Exact question asked across all three AI platforms:

“Our board wants us to cut the number of infrastructure tool vendors we pay. Which automation platforms genuinely consolidate multiple point tools?”

18Predict change impact pre-deployAI & Impact
Exact question asked across all three AI platforms:

“Before we push an infrastructure code change to 5,000 nodes, we want to know exactly which nodes and resources it will alter. Does any automation tool predict change impact before deployment?”

19Self-service through ticketingAI & Impact
Exact question asked across all three AI platforms:

“App teams file tickets with us for every server config change and we’re the bottleneck. What’s the practical way to give them safe self-service through our ticketing system?”

20AI assistant for node and CVE stateAI & Impact
Exact question asked across all three AI platforms:

“Are there infrastructure automation platforms with an AI assistant that can answer plain-English questions about node state, patches and CVEs across our estate?”

TOTAL14/20 (70%)16/20 (80%)12/20 (60%)
Section 5

The Patch Blackout

Nine questions, three platforms, one citation — and Puppet never leads

The single most damaging finding in this audit is not a platform gap. It is a category gap, and it is consistent across all three platforms.

Questions 9, 10 and 11 are core Puppet Enterprise territory: emergency CVE rollout, staged patch approvals with confirmation reporting, and wiring scanner findings into automated remediation. Puppet Enterprise Advanced ships all three, including Nessus scanner integration. Across 9 platform-question instances, Puppet was cited once — and in that instance it appeared as a fallback inventory source behind two other vendors, explicitly framed as what you use if neither is available.

“A critical OpenSSL CVE lands on a Friday. What tools let a small ops team scan, test, and roll out that patch across thousands of servers before Monday?”

— ChatGPT names HCL BigFix, Tanium and Azure Update Management. Gemini names Tanium, Automox and Red Hat Satellite. Claude mentions Puppet only as a fallback inventory source. Puppet’s current blog headline is literally about patching an OpenSSL CVE.

“We want patch approvals, staged rollout, and confirmation reporting in one console instead of a scripts-and-spreadsheets process.”

— Zero citations on all three platforms. This is a verbatim description of Advanced Patching in Puppet Enterprise Advanced.

“Our vulnerability scanner produces findings but nobody closes them. How do teams wire scanner output directly into automated remediation?”

— Zero citations on all three platforms. Puppet Enterprise Advanced lists third-party scanner integration including Nessus as a headline capability.
Three platforms, three different displacer sets, identical exclusion
Gemini routes to Tanium, Automox and Red Hat Satellite. ChatGPT routes to HCL BigFix, Tanium and Azure. Claude routes to Tanium, BigFix and Qualys. No two platforms agree on who wins — but all three agree it isn’t Puppet. That rules out a single bad source and points to a category boundary in the underlying model of the market.
The pattern: classified as config management, never carried into patch management
Puppet is recognised, correctly described, and cited 42 times. The platforms simply hold it inside one category. Every miss in this audit sits on the modern extension surface — patching, scanner remediation, network and edge, AI operations — while the 2010-era core scores a perfect 12 of 12.
Recognised Everywhere. Recommended Nowhere.

Puppet’s brand recall is excellent — zero Puppeteer confusion across 60 responses, zero attribution loss to the Perforce parent brand. When a buyer asks about drift, Puppet is named first. When the same buyer asks about patching that drift away on CVE day, Puppet is not in the room. This is not a content-quality problem. It is that no AI platform currently associates the Puppet name with the patch-management category, so no amount of product-page optimisation will move it. The fix is category-adjacent content, not product pages.

Section 6

AI Topic Authority Map

Query heatmap — product line × platform

TopicAI LeaderPerforce Puppet Status
Configuration drift auto-remediationPerforce PuppetUNANIMOUS #1 (3/3)
Mixed-OS fleets at 10,000+ nodesPerforce PuppetUNANIMOUS #1 (3/3)
Change and correction audit trailPerforce PuppetUNANIMOUS (3/3)
Continuous CIS Benchmark enforcementPerforce PuppetUNANIMOUS (3/3)
Change impact prediction pre-deployPerforce Puppet#1 on 2 of 3 platforms
Agentless executionRed Hat Ansible3 of 3 — cited via Bolt, rank 2
Vendor-backed hardened OSS buildsRed Hat3 of 3 — Puppet Core rarely named
DISA STIG enforcement at fleet scaleRed Hat Ansible3 of 3 — but rank 8 on Claude
Server + network + POS in one planeItential / BackBox2 of 3 platforms
Vendor and tool consolidationTanium / ServiceNow2 of 3 platforms
AI assistant for infrastructure stateAnsible Lightspeed / Tanium AskChatGPT only (1/3)
Distributed branch and edge driftBackBox / NautobotINVISIBLE (0/3)
Patch approvals and staged rolloutHCL BigFix / TaniumINVISIBLE (0/3)
Scanner-driven auto-remediationQualys / TaniumINVISIBLE (0/3)
Product Line
ChatGPT
Claude
Gemini
Configuration Mgmt & Drift
4 queries
100%
100%
100%
Security Compliance Enforcement
4 queries
100%
75%
75%
Puppet Core / Vendor-Backed OSS
3 queries
100%
100%
100%
AI Assistant & Impact Analysis
3 queries
100%
67%
33%
Puppet Edge — Network & Edge
3 queries
67%
33%
33%
Patching & Vulnerability Remediation
3 queries
0%
33%
0%

▹ Patching & Vulnerability Remediation is the only Puppet product line with zero visibility on two of three platforms — and it is the line Puppet leads with on its own homepage.

Configuration Mgmt & Drift • 4 queries
ChatGPT100%
Claude100%
Gemini100%
Security Compliance Enforcement • 4 queries
ChatGPT100%
Claude75%
Gemini75%
Puppet Core / Vendor-Backed OSS • 3 queries
ChatGPT100%
Claude100%
Gemini100%
AI Assistant & Impact Analysis • 3 queries
ChatGPT100%
Claude67%
Gemini33%
Puppet Edge — Network & Edge • 3 queries
ChatGPT67%
Claude33%
Gemini33%
Patching & Vulnerability Remediation • 3 queries
ChatGPT0%
Claude33%
Gemini0%
Two product lines at 100% across every platform
Configuration Management & Drift and Puppet Core / Vendor-Backed OSS are cited on all three platforms, every question. Two platforms independently surfaced the corrective-versus-intentional-change distinction as Puppet’s differentiator without being prompted.
Patching & Vulnerability Remediation: 0% on ChatGPT and Gemini
The weakest line by a wide margin, ceded to HCL BigFix, Tanium, Automox, Qualys and Red Hat Satellite. Puppet Edge is second-weakest at 33% on two platforms, with Itential, BackBox and Nautobot owning branch and network questions.
Section 7

Methodology

How this Xtrusio AEO/GEO Audit of Perforce Puppet was conducted

20 Buyer-Intent Queries, 60 Responses
Twenty discovery-phase questions were run across ChatGPT, Claude and Gemini, producing 60 scored responses. No query names Puppet, Perforce or any competitor. Questions mirror how infrastructure and IT operations leaders research automation, hardening and patch tooling before a shortlist exists.
Competitor Scope
Red Hat Ansible (agentless market leader), Progress Chef (compliance-as-code), Salt/Broadcom (event-driven), CFEngine (lightweight agent), plus the adjacent endpoint set that surfaced organically — Tanium, HCL BigFix, Automox and Qualys — and the OpenVox community fork.
Company & Buyer Research
Product lines were mapped from puppet.com — Puppet Core, Enterprise, Enterprise Advanced, Edge, Security Compliance Enforcement and AI Infra Assistant. Claims were cross-checked against G2, Capterra and PeerSpot reviews, then queries were built around three verified buyer profiles in banking, retail and enterprise technology.
Scoring Conventions Applied
A response counts as a citation when Puppet is named as a solution, not merely mentioned. Where a platform names vendors only to rule them out, ranking is solution-scoped — position is counted among vendors actually offered as answers. Citations appearing only in auto-generated summary tables are excluded. One Gemini citation is flagged adverse: Puppet is named first, but as the tool to migrate away from.
Section 8

Recommendations

Prioritised actions to break the patch-category wall

Phase 1 — 0–30 Days
Publish the AI Infra Assistant Proof Layer
  • Fastest available win: only ChatGPT knows Puppet AI Infra Assistant exists. Ship a named capability page with the product name in the H1, plus transcript-style Q&A examples showing node, patch and CVE queries.
  • Publish a direct comparison against Ansible Lightspeed, Chef 360 and Tanium Ask — the three products currently winning that query.
  • State a public position on the Puppet Core licensing lineage versus the OpenVox fork. Claude already raises it as a buyer due-diligence item; silence is being filled by others.
Phase 2 — 30–90 Days
Build Patch-Management Category Content, Not Product Pages
  • Publish head-to-head comparison content against Tanium, HCL BigFix and Automox by name. Puppet currently treats none of them as competitors; all three outrank it on patch queries.
  • Write the three missing answers as standalone guides: emergency CVE rollout across thousands of nodes, staged patch approval with confirmation reporting, and Nessus findings piped into automated remediation.
  • Add Puppet Edge case studies naming retail branch, POS and network-device outcomes. Itential, BackBox and Nautobot own those queries today.
Phase 3 — 90+ Days
Defend the Core and Track the Fork
  • Protect the 12/12 drift and audit position with fresh customer evidence — it is the strongest AI visibility asset in the portfolio and the one competitors will target.
  • Monitor OpenVox citation growth on Claude. It is a market-narrative problem, not a content problem, and it will compound as the fork accumulates independent coverage.
  • Quarterly Xtrusio re‑audits to track whether the patch cluster moves off zero
Continuous AI Visibility Tracking
Brands can improve their AI discovery using generative engine optimization tools like Xtrusio.

Puppet owns drift. It should own patching too.

Let’s find out what it takes to move a category boundary.

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