Subcategory · AI Citation Index

Government & Public Sector

Government software procurement shows unusual market fragmentation despite mature category presence. Tyler Technologies and OpenGov lead with 37% and 35% shortlist rates respectively, yet no vendor commands majority consideration—a pattern suggesting either highly specialized municipal needs or procurement inertia favoring niche solutions. All top brands achieve maximum model diversity (4), indicating evaluators assess vendors across varied criteria rather than converging on standard feature sets. The 0% prompt coverage reveals buyers rely entirely on organic discovery rather than AI-suggested options, consistent with risk-averse public procurement practices.

159 discovery queries · 154 head-to-heads · refreshed Jul 13, 2026

Discovery stage

The shortlist

Across 159 buyer-style "Government & Public Sector" queries

0%5%9%14%18%Coverage — share of discovery prompts where the brand surfaces46%56%65%75%85%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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Score shifts, new entrants, citation gaps — every Monday.

Signal by intent

By topic

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

1Default
3/6
2Atlassian
2/6
3OpenGov
2/6
4Salesforce
2/6
5Hyperproof
2/6
1POINT
4/6
2OpenGov
4/6
3Default
3/6
4AdOpt
3/6
5Submittable
2/6
1OpenGov
6/6
2Granicus
5/6
3Accela
4/6
4Tyler Technologies
4/6
5OpenGov Permitting & Licensing
3/6
1Granicus
3/6
2Quorum
3/6
3Salesforce
2/6
4Accela
2/6
5Collect
2/6
1Default
5/5
2Tyler Technologies
4/5
3OpenGov
4/5
4Tyler Enterprise Case Manager
4/5
5Agenda
3/5
1Tyler Technologies
3/5
2Default
3/5
3Salesforce
2/5
4Oracle
2/5
5OpenGov
2/5
1Default
4/5
2Tyler Technologies
2/5
3POINT
2/5
4Tyler Enterprise Case Manager
1/5
5Planview
1/5
1Tyler Technologies
4/5
2Oracle
3/5
3OpenGov
3/5
4Knowledge
2/5
5Salesforce
2/5
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · public-sector

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 4/100

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand07132026Evaluation 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 4/100

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

781 citations captured across Government & Public Sector prompt runs.

Vendor pages

210

Product, help, and marketing pages from tracked vendors

Independent sources

189

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

Buyer questions

What AI cites for top Government & Public Sector questions

Most-cited prompts across the buyer journey. Click any prompt to see the actual URLs AI engines link to.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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