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Subcategory · AI Citation Index

AI Agents

AI Agents is a fragmented category with two distinct patterns: Intercom is the consensus pick, surfacing in 57% of discovery prompts across all four engines, while ServiceNow AI Agents wins the most head-to-head comparisons despite showing up in 54% of queries. Azure OpenAI Service captures eyeballs on all four engines but loses more comparison fights than it wins. Three absent giants — Atlassian, ClickUp, and Notion — score 78 in head-to-heads yet barely surface in AI discovery prompts, suggesting the category has enterprise heavyweights that AI engines skip when buyers ask for shortlists. The category is contested: no single brand owns both discovery share and evaluation wins, and 82 brands split attention across widely varying use cases.

171 discovery queries · 223 head-to-heads · refreshed Aug 16, 2026

Discovery stage

The shortlist

Across 171 buyer-style "AI Agents" queries

Intercom and ServiceNow AI Agents trade the top two discovery slots, each visible on all four engines and surfacing in more than half of buyer queries about AI agent software. Azure OpenAI Service and LangChain follow closely, both appearing across ChatGPT, Claude, Gemini, and Perplexity in roughly 49% and 47% of discovery prompts respectively. Drift, UiPath, Handoff, Base, CrewAI, and LlamaIndex each show up on all four engines but capture smaller shares — between 30% and 39% of queries — forming a competitive mid-tier with no clear separation.

20%31%41%51%61%Coverage — share of discovery prompts where the brand surfaces56%66%76%86%96%Engine diversity

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions
Tracked acrossChatGPT,Gemini,Claude

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Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1Intercom
6/7
2Microsoft
6/7
3Gorgias
5/7
4ChatBot
5/7
5Tidio
4/7
1Microsoft
6/6
2Intercom
6/6
3ServiceNow
6/6
4Salesforce
5/6
5Reply
5/6
1Microsoft
3/6
2Drift
3/6
3Claude
3/6
4Salesforce
2/6
5ServiceNow
2/6
1LangChain
6/6
2LlamaIndex
5/6
3LangSmith
5/6
4Claude
4/6
5TUNE
4/6
1Uipath
6/6
2Microsoft
6/6
3ServiceNow
6/6
4CrewAI
5/6
5Intercom
5/6
1AutoGen
5/5
2CrewAI
5/5
3ServiceNow
5/5
4LangChain
4/5
5LlamaIndex
4/5
1Uipath
5/5
2Intercom
5/5
3ServiceNow
5/5
4Microsoft
4/5
5Salesforce
4/5
1Intercom
5/5
2Salesforce
5/5
3ChatBot
4/5
4Driven
4/5
5Tidio
4/5
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · ai-agents

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 1/100

ServiceNow and Microsoft Copilot Studio win the most head-to-head comparisons, averaging scores of 41 and 39 across roughly 30 and 27 matchups respectively. LangChain appears in two dozen comparison queries but scores 34, while Intercom — despite its strong discovery share — averages only 31 across 22 head-to-heads. UiPath ties Intercom at 31, and CrewAI and Drift trail at 26 and 23, losing more comparison fights than they win.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand07152229Evaluation prompts cited inmedian citation ratemedian exposure

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure
Median citation rate 1/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Citation sources

Where AI pulls citations from

728 citations captured across AI Agents prompt runs.

Vendor pages

195

Product, help, and marketing pages from tracked vendors

Independent sources

148

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top AI Agents questions

Buyers ask AI exploratory questions about use cases and capabilities — phrasings like 'What role do AI agents play in enhancing customer experience?', 'AI agent software with machine learning capabilities', and 'how to assess the adaptability of AI agents software'. A smaller set of prompts digs into technical evaluation criteria: key performance indicators, data analysis fit, and user interface quality. The questions stay high-level, naming workflows and decision factors rather than drilling into pricing or deployment specifics.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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