aceWhat the evidence says.What the public feels.
The record holds 939 sourced gains and 772 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.
Ranks visible company impact from daily public-attention data, official developer ecosystems, and company-linked sources in the Truvace record.
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- 1
Maker of ChatGPT and the GPT model line, with a large consumer and developer surface.
90 visible impact · Dominant observable footprintAccountability risk: ModerateEvidence confidence: High150 measured signal/sources · updated 2026-10-13- Attention 30%
- 83
- Developers 25%
- 86
- Gains 20%
- 100
- Problems 20%
- 100
- Breadth 5%
- 100
30-day Wikipedia views: 361,701 · Official GitHub stars: 794,221 · Record sources: 148 · Gain/problem source weight: 113/108
Measurement note: Measured from 361.7K Wikipedia views in 30 days, 794.2K stars across 74 official public repositories, and 148 independent sources in the Truvace record.
What we don’t know: Private usage, enterprise revenue mix, and internal incident rates are not publicly observable.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
90Visible impact - 2
Maker of Claude, with growing enterprise and developer-tool distribution.
83 visible impact · Dominant observable footprintAccountability risk: ElevatedEvidence confidence: High43 measured signal/sources · updated 2026-10-13- Attention 30%
- 100
- Developers 25%
- 82
- Gains 20%
- 64
- Problems 20%
- 71
- Breadth 5%
- 63
30-day Wikipedia views: 634,207 · Official GitHub stars: 644,552 · Record sources: 41 · Gain/problem source weight: 20/37
Measurement note: Measured from 634.2K Wikipedia views in 30 days, 644.6K stars across 71 official public repositories, and 41 independent sources in the Truvace record.
What we don’t know: Private usage volumes, customer concentration, and revenue composition are not disclosed.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
83Visible impact - 3
Copilot and Azure distribute AI across workplace, developer, and cloud products.
54 visible impact · Material observable footprintAccountability risk: ElevatedEvidence confidence: High16 measured signal/sources · updated 2026-10-13- Attention 30%
- 27
- Developers 25%
- 100
- Gains 20%
- 46
- Problems 20%
- 43
- Breadth 5%
- 32
30-day Wikipedia views: 55,848 · Official GitHub stars: 1,869,897 · Record sources: 14 · Gain/problem source weight: 8/13
Measurement note: Measured from 55.8K Wikipedia views in 30 days, 1.9M stars across 96 official public repositories, and 14 independent sources in the Truvace record.
What we don’t know: Licensed seats do not reveal active use or the quality of resulting work.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
54Visible impact - 4
Google’s consolidated AI research and product arm, including Gemini and AlphaFold.
53 visible impact · Material observable footprintAccountability risk: ModerateEvidence confidence: High56 measured signal/sources · updated 2026-10-13- Attention 30%
- 25
- Developers 25%
- 63
- Gains 20%
- 77
- Problems 20%
- 69
- Breadth 5%
- 71
30-day Wikipedia views: 52,407 · Official GitHub stars: 197,025 · Record sources: 54 · Gain/problem source weight: 38/35
Measurement note: Measured from 52.4K Wikipedia views in 30 days, 197K stars across 96 official public repositories, and 54 independent sources in the Truvace record.
What we don’t know: Bundled distribution makes organic usage difficult to separate from default placement.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
53Visible impact - 5
The compute layer behind much of frontier-model training and deployment.
50 visible impact · Material observable footprintAccountability risk: ElevatedEvidence confidence: High8 measured signal/sources · updated 2026-10-13- Attention 30%
- 72
- Developers 25%
- 69
- Gains 20%
- 0
- Problems 20%
- 24
- Breadth 5%
- 10
30-day Wikipedia views: 251,658 · Official GitHub stars: 285,933 · Record sources: 6 · Gain/problem source weight: 0/6
Measurement note: Measured from 251.7K Wikipedia views in 30 days, 285.9K stars across 97 official public repositories, and 6 independent sources in the Truvace record.
What we don’t know: Shipped hardware does not reveal allocation priorities or real utilization rates.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
50Visible impact - 6
Maker of Grok, distributed through X and a rapidly expanding compute footprint.
38 visible impact · Emerging observable footprintAccountability risk: ModerateEvidence confidence: High29 measured signal/sources · updated 2026-10-13- Attention 30%
- 4
- Developers 25%
- 55
- Gains 20%
- 63
- Problems 20%
- 54
- Breadth 5%
- 51
30-day Wikipedia views: 26,606 · Official GitHub stars: 119,692 · Record sources: 27 · Gain/problem source weight: 19/20
Measurement note: Measured from 26.6K Wikipedia views in 30 days, 119.7K stars across 11 official public repositories, and 27 independent sources in the Truvace record.
What we don’t know: Usage outside X and independent enterprise adoption remain thinly documented.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
38Visible impact - 7
Llama models and assistant features distributed across Meta’s global platforms.
27 visible impact · Emerging observable footprintAccountability risk: ModerateEvidence confidence: High9 measured signal/sources · updated 2026-10-13- Attention 30%
- 3
- Developers 25%
- 50
- Gains 20%
- 44
- Problems 20%
- 24
- Breadth 5%
- 14
30-day Wikipedia views: 25,686 · Official GitHub stars: 93,151 · Record sources: 7 · Gain/problem source weight: 7/6
Measurement note: Measured from 25.7K Wikipedia views in 30 days, 93.2K stars across 9 official public repositories, and 7 independent sources in the Truvace record.
What we don’t know: Downstream uses of open weights and engagement quality inside Meta apps remain hard to measure.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
27Visible impact - 8
An AI-native answer engine operating in the search and publishing ecosystem.
26 visible impact · Emerging observable footprintAccountability risk: ElevatedEvidence confidence: High7 measured signal/sources · updated 2026-10-13- Attention 30%
- 43
- Developers 25%
- 20
- Gains 20%
- 15
- Problems 20%
- 19
- Breadth 5%
- 5
30-day Wikipedia views: 95,924 · Official GitHub stars: 11,482 · Record sources: 5 · Gain/problem source weight: 1/5
Measurement note: Measured from 95.9K Wikipedia views in 30 days, 11.5K stars across 34 official public repositories, and 5 independent sources in the Truvace record.
What we don’t know: Query volume, retention, and publisher-licensing coverage are mostly private.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
26Visible impact - 9
A European model lab with open-weight releases and enterprise deployments.
21 visible impact · Emerging observable footprintAccountability risk: ModerateEvidence confidence: Moderate6 measured signal/sources · updated 2026-10-13- Attention 30%
- 29
- Developers 25%
- 15
- Gains 20%
- 34
- Problems 20%
- 8
- Breadth 5%
- 0
30-day Wikipedia views: 60,419 · Official GitHub stars: 9,556 · Record sources: 4 · Gain/problem source weight: 4/3
Measurement note: Measured from 60.4K Wikipedia views in 30 days, 9.6K stars across 15 official public repositories, and 4 independent sources in the Truvace record.
What we don’t know: Commercial deployment scale behind private enterprise contracts is not visible.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
21Visible impact - 10
An enterprise-focused model and retrieval provider with limited consumer visibility.
3 visible impact · Emerging observable footprintAccountability risk: ModerateEvidence confidence: Moderate6 measured signal/sources · updated 2026-10-13- Attention 30%
- 0
- Developers 25%
- 0
- Gains 20%
- 23
- Problems 20%
- 0
- Breadth 5%
- 0
30-day Wikipedia views: 23,172 · Official GitHub stars: 1,775 · Record sources: 4 · Gain/problem source weight: 2/2
Measurement note: Measured from 23.2K Wikipedia views in 30 days, 1.8K stars across 27 official public repositories, and 4 independent sources in the Truvace record.
What we don’t know: Most deployments sit behind private contracts and are not publicly observable.
Wikimedia pageview signal · Official GitHub organization · Truvace record matches
3Visible impact
How this ranking works (and what it is not)
The tracker ranks visible public footprint using adoption signals, public attention, sourced gains, sourced harms, regulatory pressure, and transparency. It is not a ranking of the “best” AI company. Evidence-backed problems do not subtract from footprint: consequence counts in both directions, and accountability risk is shown as its own reading.
| Component | Weight | Signals |
|---|---|---|
| Public attention | 35% | 30-day English Wikipedia pageviews, normalized across the measured set |
| Developer ecosystem | 30% | stars and public repositories in the company’s official GitHub organization |
| Evidence-backed gains | 15% | independent stored sources attached to company-linked gain readings |
| Evidence-backed problems | 15% | independent stored sources attached to company-linked problem readings |
| Evidence breadth | 5% | unique independent sources in the published Truvace record |
Honest limits: public signals are incomplete — private usage, revenue, and safety data may not be visible. Company self-claims are discounted unless independently supported. Every reading carries its source count, last-updated date, and a confidence label. Public-attention and developer signals are fetched server-side and cached for one day; evidence signals are recomputed from the published record on every request.
Recomputed live from the record · Oct 14, 2026, 7:28 AM