Subcategory · AI Citation Index

OKRs

OKR software is a fragmented category with high discovery visibility for purpose-built tools but minimal head-to-head comparison data. WorkBoard, Asana, Lattice, and Allyio each surface in more than 90% of buyer queries across every engine we track, while general-purpose work tools like Notion and ClickUp capture meaningful share. The consensus pick is Lattice — the only brand that both shows up consistently in discovery and wins more head-to-heads than it loses. The surprise is Asana and ClickUp: both surface in half or more of discovery prompts but lose most head-to-head comparisons when buyers ask AI to pick between them and other options. This is a fragmented category where AI discovery is crowded but evaluation-stage comparison volume is thin.

51 discovery queries · 226 head-to-heads · refreshed May 1, 2026

Discovery stage

The shortlist

Across 51 buyer-style "OKRs" queries

Four brands hold the discovery shortlist. WorkBoard surfaces in 98% of buyer queries about OKR software on every engine we track, with Asana (96%), Lattice (94%), and Allyio (94%) within a few points behind. Notion and Built each appear in 82% of queries across all four engines, while Betterworks and 15Five trail at 75% and 65%. ClickUp shows up in 53% of discovery prompts despite being a general-purpose task tool rather than OKR-native software.

13%27%41%54%68%Coverage — share of discovery prompts where the brand surfaces76%80%84%88%92%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.

1Lattice
8/8
2Built
8/8
3Asana
8/8
4WorkBoard
8/8
5Leapsome
7/8
1Lattice
7/7
2WorkBoard
7/7
3Asana
7/7
4Allyio
7/7
5Betterworks
6/7
1Lattice
5/5
2Betterworks
5/5
3Allyio
5/5
4Asana
5/5
5ClickUp
5/5
1Goals
5/5
2Betterworks
5/5
3Lattice
5/5
415five
5/5
5Asana
5/5
1WorkBoard
4/4
2Built
4/4
3Allyio
4/4
4Lattice
4/4
5Asana
4/4
1Lattice
4/4
2Betterworks
4/4
3WorkBoard
4/4
4Allyio
4/4
5Asana
4/4
1Lattice
4/4
215five
4/4
3WorkBoard
4/4
4Allyio
4/4
5Built
3/4
1Asana
4/4
2Lattice
3/4
3Gtmhub
3/4
4WorkBoard
3/4
5Notion
3/4
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · okrs

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 36/100

Head-to-head comparison data is shallow — only eight brands appear in evaluation prompts. Aha and Airfocus win most of their matchups, but the volume is low. Lattice wins more than it loses across ten head-to-heads. Betterworks lands near the category median, winning roughly half its comparisons across fourteen matchups. Asana, ClickUp, and Airtable appear in dozens of head-to-heads each but lose most of them — Asana and ClickUp each lose more than they win across 42 comparison queries, while Airtable loses most of its 45 matchups.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand011233445Evaluation 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 36/100

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

596 citations captured across OKRs prompt runs.

Vendor pages

272

Product, help, and marketing pages from tracked vendors

Independent sources

158

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

Buyer questions

What AI cites for top OKRs questions

Every query in the category is top-of-funnel exploration. Buyers ask AI how to drive accountability, gather feedback on OKR effectiveness, and encourage team ownership of objectives. The phrasing is process-oriented rather than tool-specific — buyers want to know how to implement goal-setting systems, not which software to buy. AI engines respond by naming tools that support OKR workflows, but the queries themselves rarely name brands or ask for head-to-head comparisons.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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