aisnoopy 84 brands · 36 answers

Markets internal tools software 84 brands

Best internal tools softwareaccording to AI assistants

Retool is named most often — in 31 of 36 answers. 6 questions a buyer would type, asked of 2 assistants 3 times each.

1 Retool 3186%
2 Bubble 2261%
3 Airtable 2056%
4= Appsmith 1747%
4= React 1747%
4= Next.js 1747%
7= Budibase 1439%
7= Zapier 1439%
7= Django 1439%
7= Make 1439%
11= Python 1336%
11= Supabase 1336%
11= Power Apps 1336%
+66 more brands named at least once ranked below the top 13
14 Vue 1131%
15 Microsoft Power Apps 1028%
16= Softr 925%
16= OutSystems 925%
16= FlutterFlow 925%
16= Node.js 925%
16= Mendix 925%
21= Tooljet 822%
21= Glide 822%
23= Angular 719%
23= FastAPI 719%
23= PostgreSQL 719%
23= n8n 719%
27= Adalo 617%
27= Webflow 617%
27= .NET 617%
27= Spring 617%
27= Java 617%
32= Django Admin 514%
32= Metabase 514%
32= Flask 514%
32= ServiceNow 514%
32= Streamlit 514%
32= AppSheet 514%
38= Laravel 411%
38= Nuxt 411%
40= AppGyver 38%
40= Camunda 38%
40= Dataverse 38%
40= MySQL 38%
40= Postgres 38%
40= Power Platform 38%
40= Ruby on Rails 38%
40= SQL Server 38%
40= SharePoint 38%
40= Squarespace 38%
40= SvelteKit 38%
40= Wix 38%
52= Apache Superset 26%
52= Appian 26%
52= Azure AD 26%
52= Dynamics 26%
52= Framer 26%
52= Google AppSheet 26%
52= Okta 26%
52= Pega 26%
52= Pipedream 26%
52= Salesforce 26%
52= Shopify 26%
52= Svelte 26%
52= Xano 26%
52= Zoho Creator 26%
66= Admin.js 13%
66= Airplane 13%
66= Bonita 13%
66= Boomi 13%
66= Ghost 13%
66= Google Workspace 13%
66= Grafana 13%
66= MuleSoft 13%
66= SAP Build 13%
66= Salesforce Lightning 13%
66= Salesforce Platform 13%
66= ServiceNow App Engine 13%
66= Wagtail 13%
66= Workato 13%

5 brands in this market were named in none of the 36 answers: Jet Admin, Ninox, Retool.com, Stripe, Superblocks.

The questions

These belong to the market, not to any brand in it. Each was asked 6 times across two assistants. Questions naming a brand are excluded, since they hand that brand a free mention.

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Method

market internal tools software
brands measured 84
run as subjects 0
questions 6
answers per brand 36
brand list version e368e883c119

Questions went to the OpenAI and Anthropic APIs with web search off, each in a fresh context with no history. That measures what the models already know about these brands rather than what they would find on the web today, so it is a floor on visibility rather than a replica of any one person's chat.

Repeated measurements of the same brand move within about 12 points, so a difference smaller than that is not meaningful. Brands closer together than that are shown tied rather than ordered.

How the table is ordered. By how many of the 36 answers named each brand. Brands on the same count share a rank and are shown in the order the assistants tended to list them. A brand counts once per answer, however many times it is named in it.

How close is close. Two brands share a rank only when their counts are identical. Beyond that, a gap smaller than about four answers is inside what this measurement moves between runs — so read near-neighbours as close rather than settled, which is why every row keeps its interval.

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