Subcategory · AI Citation Index

LLM Platforms

LLM platforms is a fragmented category with no single consensus pick. Azure Machine Learning and Databricks both surface across all engines we track (ChatGPT, Claude, Gemini), but Azure wins far more head-to-heads — 76 out of 100 on average versus Databricks at 59. LangChain captures the most AI attention in discovery (shows up in 79% of buyer queries) but has no evaluation-stage data, leaving unclear how it fares when buyers pit it against alternatives. Merlin is the riser, gaining eight points in recent weeks despite middling head-to-head performance. The category is contested: five brands split discovery share within twenty points of each other, and no brand dominates both stages.

52 discovery queries · 52 head-to-heads · refreshed May 1, 2026

Discovery stage

The shortlist

Across 52 buyer-style "LLM Platforms" queries

LangChain captures the most eyeballs, surfacing in 79% of buyer queries about LLM platforms but visible on only three of the engines we track. Weaviate and LangSmith each show up in 65% of queries, also confined to three engines. Azure Machine Learning and Base appear across all engines, at 56% and 50% of queries respectively. Databricks rounds out the multi-engine tier at 44% visibility across all engines.

7%15%23%31%40%Coverage — share of discovery prompts where the brand surfaces50%62%73%84%95%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.

1Weaviate
9/11
2LangChain
9/11
3LlamaIndex
9/11
4Handoff
9/11
5Base
7/11
1Jasper
7/8
2Writer
6/8
3Copy
6/8
4Claude
5/8
5GuardRails
5/8
1GuardRails
5/8
2LangChain
4/8
3LlamaIndex
4/8
4Base
3/8
5Claude
3/8
1Azure OpenAI Service
7/7
2LangSmith
7/7
3LangChain
7/7
4Databricks
6/7
5Base
5/7
1Hugging Face
7/7
2Llama
7/7
3Microsoft
5/7
4Databricks
5/7
5Base
5/7
1Base
6/6
2LangChain
5/6
3Weaviate
5/6
4Databricks
5/6
5LlamaIndex
4/6
1Jasper
5/6
2Copy
5/6
3Claude
5/6
4Adobe
4/6
5Writer
4/6
1Jasper
5/5
2Copy
5/5
3Writer
5/5
4Glean
2/5
5Adobe
2/5
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · llm-platforms

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 59/100

Azure Machine Learning wins three-quarters of head-to-head comparisons across ten matchups, clearing the category median by seventeen points. Jasper holds second place at 64 across a dozen comparisons, edging out Databricks at 59. Merlin and Amazon Comprehend trail below the median, losing more head-to-heads than they win. The volume of comparison queries is thin, with most brands appearing in fewer than a dozen matchups.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand0471114Evaluation 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 59/100

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.

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