2026 ERP Software AI Visibility Report | Trakkr

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Generated source analysis. Market figures and findings below are generated claims, with no measurement records attached.

Generated 10 Jan 2026 · Read the source

A comprehensive analysis of how leading Enterprise Resource Planning (ERP) brands are perceived and recommended by Large Language Models and AI search engines.

The 2026 ERP landscape has shifted from traditional search dominance to AI-driven recommendation engines. Our analysis reveals that while legacy incumbents like SAP and Oracle maintain high visibility in 'Enterprise' queries, agile competitors like Odoo and Acumatica are capturing significant share in 'Growth' and 'SMB' segments. AI platforms currently prioritize structured technical documentation and verified customer case studies over traditional marketing copy, leading to a 34% visibility gap between brands with open-access documentation and those behind gated walls.

Key findings in the source

Generated claims, including numeric figures. No underlying measurements are attached.

SAP dominates 82% of high-intent enterprise queries across all major AI platforms.
Microsoft Dynamics 365 holds the highest 'Ecosystem Integration' score due to extensive cross-linking with Azure and Office 365 documentation.
Odoo has seen a 45% year-over-year increase in AI visibility for 'Open Source ERP' and 'Modular Business Apps' queries.
Perplexity AI shows a 12% higher preference for technical specification data compared to ChatGPT's narrative-heavy recommendations.
Gated content is the primary driver of visibility loss, with LLMs failing to index 60% of legacy brand whitepapers.

The category scorecard.

Proposed scoring · illustrative source values. No measured ranking or trend is published here.

SAP94 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 96 / 100 · claude: 92 / 100 · gemini: 95 / 100 · perplexity: 93 / 100
Strength in source: Unrivaled authority in global supply chain and finance queries.
Weakness in source: Perceived complexity and implementation cost in AI-generated summaries.

Oracle NetSuite89 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 90 / 100 · claude: 88 / 100 · gemini: 87 / 100 · perplexity: 91 / 100
Strength in source: Dominant visibility for 'Cloud-native ERP' and mid-market growth queries.
Weakness in source: Lower sentiment scores regarding user interface modernization.

Microsoft Dynamics 36587 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 85 / 100 · claude: 84 / 100 · gemini: 89 / 100 · perplexity: 90 / 100
Strength in source: Exceptional visibility in queries involving AI integration and Copilot capabilities.
Weakness in source: Brand fragmentation across different Dynamics modules (F&O vs Business Central).

Sage76 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 78 / 100 · claude: 75 / 100 · gemini: 77 / 100 · perplexity: 74 / 100
Strength in source: High trust scores for accounting-centric and UK-market queries.
Weakness in source: Under-representation in advanced manufacturing and IoT discussions.

Odoo74 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 79 / 100 · claude: 72 / 100 · gemini: 70 / 100 · perplexity: 75 / 100
Strength in source: Top-ranked for 'Affordable ERP' and 'Modular Business Software'.
Weakness in source: Lower visibility for high-compliance and highly regulated industry queries.

Acumatica72 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: rising (illustrative, no measured history attached)
Platform source scores: chatgpt: 70 / 100 · claude: 73 / 100 · gemini: 71 / 100 · perplexity: 74 / 100
Strength in source: Strong technical citations for cloud architecture and licensing models.
Weakness in source: Lower general brand awareness compared to Tier 1 incumbents.

Epicor68 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 65 / 100 · claude: 69 / 100 · gemini: 66 / 100 · perplexity: 72 / 100
Strength in source: Deep vertical visibility in manufacturing and distribution.
Weakness in source: Limited visibility in broader 'Digital Transformation' narrative queries.

Workday85 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 88 / 100 · claude: 86 / 100 · gemini: 84 / 100 · perplexity: 82 / 100
Strength in source: Dominant in HCM-led ERP queries and employee experience.
Weakness in source: Lower visibility for supply chain and inventory management specifics.

Infor65 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: declining (illustrative, no measured history attached)
Platform source scores: chatgpt: 62 / 100 · claude: 64 / 100 · gemini: 66 / 100 · perplexity: 68 / 100
Strength in source: Industry-specific cloud suites visibility (CloudSuites).
Weakness in source: Generalist queries often overlook Infor in favor of SAP or Oracle.

IFS62 / 100Illustrative source score

Generated source profile. Scores and trends have no observed answer sample or measured history attached.

Source trend: stable (illustrative, no measured history attached)
Platform source scores: chatgpt: 60 / 100 · claude: 63 / 100 · gemini: 61 / 100 · perplexity: 64 / 100
Strength in source: High visibility in Field Service Management and Asset Management.
Weakness in source: Lack of presence in general business management queries.

Platform behavior in the source.

Generated descriptions and brand lists. No provider responses are attached to establish this behavior.

ChatGPT

Brand-heavy
Focuses on market leaders
Prioritizes narrative case studies

Strongly favors brands with extensive Wikipedia presence and long-standing historical data.

Top brands in the source: SAP, Oracle NetSuite, Workday

Claude

Nuanced comparisons
Technical depth
Focuses on compliance

Provides the most balanced 'Pros and Cons' lists, citing specific technical limitations.

Top brands in the source: SAP, Microsoft Dynamics, Acumatica

Gemini

Ecosystem focused
Real-time pricing data
Integration with Google Workspace

Frequently pulls from YouTube reviews and Google-indexed developer forums.

Top brands in the source: Microsoft Dynamics, SAP, Odoo

Perplexity

Citation-heavy
News-oriented
Technical spec focus

Directly links to product documentation and recent quarterly earnings reports.

Top brands in the source: Oracle NetSuite, Microsoft Dynamics, Epicor

Enterprise Financial Management

Source volume: high · Source competition: high

Top performers in the source: SAP, Oracle, Workday

SMB Cloud ERP

Source volume: high · Source competition: high

Top performers in the source: Oracle NetSuite, Acumatica, Odoo

Manufacturing & Industry 4.0

Source volume: medium · Source competition: high

Top performers in the source: Epicor, SAP, IFS

Open Source Business Logic

Source volume: low · Source competition: medium

Top performers in the source: Odoo, ERPNext

Generated source analysis. Suggested strategies and trends from the source. Their effects have not been measured.

Generated 10 Jan 2026 · Read the source

Winning strategies in the source

Ungated technical documentation that allows LLM crawlers to index specific features.
Consistent use of Schema.org markup for software products and pricing.
Developing 'Comparison Hubs' that objectively compare the brand against competitors.
High-frequency publishing of API documentation and integration guides.

Common weaknesses

PDF-only whitepapers which are often ignored or truncated by AI models.
Vague marketing language (e.g., 'best-in-class') that lacks verifiable data points.
Lack of presence on third-party developer forums and subreddits.
Inconsistent naming conventions across different product modules.

Emerging trends in the source

AI models are starting to prioritize 'Sustainability' and 'ESG' reporting capabilities in ERP evaluations.
User sentiment from Reddit and G2 is increasingly weighted in AI 'Best of' summaries.
Direct integration with AI agents is becoming a primary visibility factor.

What to try next.

Suggested actions from the source. Impact labels are estimates.

For CMOs & Marketing Leaders

AI visibility is now directly correlated with 'Open Data' policies.

Remove gates from 50% of top-performing technical content to improve LLM indexing.

Suggested impact: high

Brand sentiment in AI responses is driven by 3rd party reviews.

Implement a review generation campaign specifically targeting technical users on Reddit and G2.

Suggested impact: medium

For SEO & Content Managers

Perplexity and Gemini prioritize structured data and citations.

Deploy advanced SoftwareApplication schema across all product pages.

Suggested impact: high

Comparison queries are the highest intent 'bottom of funnel' AI interactions.

Create dedicated 'Brand A vs Brand B' landing pages with factual, citeable tables.

Suggested impact: high

For Product & Strategy Teams

AI platforms struggle to differentiate between legacy and cloud-native versions of the same brand.

Standardize product naming and clearly delineate 'Cloud' vs 'On-Premise' in all public-facing docs.

Suggested impact: medium

Methodology stated in the generated source

The file does not include the prompt set, observed responses or deterministic aggregate needed to verify these methodology claims. Its reported sample and collection window should not be treated as verified measurements.

Trakkr analyzed 15,000 unique queries across ChatGPT (GPT-4o), Claude 3.5 Sonnet, Gemini Pro, and Perplexity AI. Visibility was measured by brand mention frequency, sentiment analysis, and 'Citation Share'. Data was collected between January and May 2026.

Source title: 2026 ERP Software AI Visibility Report
Generated: 10 Jan 2026
Interpretation: Use the generated hypotheses as inputs to your own category tests. Keep observed response evidence separate from this source scorecard.

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