Thunderdome B2B SaaS AI Visibility Index

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Brand report · September 2026

OutSystems OutSystems: AI Visibility Report

outsystems.com ↗

When buyers ask ChatGPT, Claude, and Gemini about no-code & internal tool builders, OutSystems ranks #10 of 15, a Visibility Score of 12 in No-Code & Internal Tool Builders .

Note: that score is OutSystems's best category. OutSystems aspires to AI App Builders but is unranked there (Replit, Lovable and Bolt lead).

These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.

How AI sees OutSystems

One category, low rank, zero pull at the top.

Where it wins. OutSystems holds a foothold in No-Code and Internal Tool Builders, surfacing in 21% of relevant prompts, mostly when AI models compile broad 2026 tool roundups.

Where it loses. Sitting 10th of 15 in its only measured category and earning no first picks, OutSystems loses the recommendation race to Retool and Microsoft Power Apps before a buyer ever weighs features, and it disappears entirely from best-overall, use-case, and startup-framed conversations.

AI-generated analysis of the September 2026 measurements.

Gap

How OutSystems positions itself vs how AI ranks it

OutSystems's homepage positions it for AI App Builders. Ask the models that question and they name Replit, Lovable and Bolt, not OutSystems.

The pitch

"Build your agentic future"

Positions in AI App Builders
Targets Enterprise
What AI actually says
In AI App Builders Not named. Replit, Lovable and Bolt lead

Why, and what closes it. Models recommend what the web says about a brand, not what its homepage asserts. That is a content and coverage gap, not a product one. Earned mentions and clearer positioning can move it.

Homepage self-messaging · September 2026 ranking · the biggest gaps across the index →

How well the models know OutSystems

A different question from visibility: not “do the models recommend OutSystems?” but “asked about it directly, how specifically and confidently do they describe it?” High knowledge with low cross-model agreement is a warning sign — one model may be confidently filling gaps.

86 / 100
knowledge depth
models ranged 78–92
92 / 100
cross-model agreement
do the models describe the same product?
ChatGPT
85
Claude
80
Gemini
92

from 6 direct-question answers across ChatGPT, Claude & Gemini

No-Code & Internal Tool Builders · #10 of 15

12 / 100 flat vs last month
21%
mention rate (72 answers)
6
avg. position
0%
first pick
3%
share of voice
7.8Jul 2026Jul 2026: 7.810.4Aug 2026Aug 2026: 10.411.5Sep 2026Sep 2026: 11.5
ChatGPT
18
Claude
12
Gemini
4

How the models portray OutSystems

Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).

47% 27% 27%
endorsed · 95% band 25–70% listed caveated graded across 15 mentions in No-Code & Internal Tool Builders answers
Prompt themes OutSystems would want to own

Share of each theme's answers that mention OutSystems. Hover a row for the exact prompt. Compare shapes on the head-to-head page.

Gaps Best overall · Use-case fit · Startup & small team · Feature-led ask

Most co-mentioned competitors

Share of OutSystems's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.

Retool
100%
Microsoft Power Apps
93%
Mendix
93%
Appsmith
87%
Glide
60%
Budibase
47%

Scores are measured from real AI answers, refreshed monthly. Methodology.

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