Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 62 → 16 of 80
Thomson Reuters · 1 category · RankedThomson Reuters Fixed Assets CS
32Judge labels
0First choices
5Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
0% in Fixed asset accounting for mid-market buyers
Rank 15 of 107 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 9% of its 11 labels there were negative.
What the models named instead of Thomson Reuters Fixed Assets CS →By buyer segmentRead the same way at every buyer size.
Small business17 of 81
0%6 labels
under the label threshold
Mid-market15 of 107
0%11 labels
accepted challenger
Enterprise23 of 109
0%15 labels
criticized challenger
In fixed asset accounting · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Thomson Reuters Fixed Assets CS for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Fixed asset accounting | Accounting and close | 0% | 15 of 107 | 9% | 11 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Thomson Reuters Fixed Assets CS held within the floor in its one category: no change cleared 10 points.
Best category · Fixed asset accounting · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 18 → 16 of 104
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 8 pointsRank 11 → 20 of 104
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Fixed asset accounting | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 18 → 15 of 107 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Thomson Reuters Fixed Assets CS across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Thomson Reuters Fixed Assets CS across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct6 labelsNone
Paraphrase6 labelsNone
Comparative7 labels1not counted in share
Budget-constrained4 labelsNone
Scale-constrained6 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative32 labels in all, every segment counted; 0 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Is compliance & depreciation accuracy critical? | Yes → Sage Fixed Assets, Thomson Reuters Fixed Assets CS” GLM 4.7 FlashX · Fixed asset accounting · comparative prompt · first choice
“Best for accounting-heavy teams with deep depreciation treatments and tax and book accuracy.” Claude Haiku 4.5 · Fixed asset accounting · comparative prompt · alternative
“Tax firms and organizations with complex U.S. tax depreciation needs” GPT-6 Luna · Fixed asset accounting · comparative prompt · alternative
“a practical option if your accounting team values ease of use” GPT-5.4 mini · Fixed asset accounting · direct prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Caution level: High ... Avoid if you're a small business or a solo accountant looking for a lightweight tool.” DeepSeek V4 Flash · Fixed asset accounting · negative prompt · hard negative
Named alongside
The products named in the same answers as Thomson Reuters Fixed Assets CS, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Thomson Reuters Fixed Assets CS was named but was not.ShowHide
Named alongside
The products named in the same answers as Thomson Reuters Fixed Assets CS, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Thomson Reuters Fixed Assets CS was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Thomson Reuters Fixed Assets CS. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 32 of the 32 answers that named Thomson Reuters Fixed Assets CS and are not a share of its labels.
Domains cited
guideflow.com22
softwareadvice.com21
worldmetrics.org16
tax.thomsonreuters.comYour site15
gitnux.org14
facilio.com13
softwareconnect.com13
assetcues.com12
wifitalents.com11
capterra.com9
131 of the 146 domain citations in answers naming Thomson Reuters Fixed Assets CS came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
thomsonreuters.com ranks first on Google for the category's searches. In the answers, Thomson Reuters Fixed Assets CS takes 0% of first choices and Sage Fixed Assets takes 34%.ShowHide
Search and answers
thomsonreuters.com ranks first on Google for the category's searches. In the answers, Thomson Reuters Fixed Assets CS takes 0% of first choices and Sage Fixed Assets takes 34%.
ShowHideIn search
Google, US estimatesPosition for “fixed asset tools”
–
not in the top ten
Position for “fixed asset accounting software”
1
- Searches for its name, Google
- 90 a month (“thomson reuters fixed assets cs”)
- AI search demand for its name, est.
- 0 a month
- Its company's site
- thomsonreuters.com shared with Thomson Reuters's other products; the figures are the site's
- Organic visits to its site
- about 3,055,379 a month
- Searches its site ranks for
- 250,459 · 24,416 in the top three
- Sites linking to it
- 97,191
- Paid Google search
- 10 searches its ads show for, about 41 clicks and $313 a month (estimate)
In answers
This editionShare of first choices
0%
rank 15 of 107 in fixed asset accounting
Segment leader
34%
Sage Fixed Assets
- First choices
- 0 across its categories
- Named in
- 32 answers
- Its own site cited
- in 32 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Thomson Reuters Fixed Assets CS
What the judge wrote, as written, with how often. The vendor table decides that these count as Thomson Reuters Fixed Assets CS; a claim can dispute any of them.
Fixed Assets CS 2
Follow Thomson Reuters Fixed Assets CS
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Thomson Reuters is the company behind Thomson Reuters Fixed Assets CS.ShowHide
The company
Thomson Reuters is the company behind Thomson Reuters Fixed Assets CS.
ShowHideOn record
Company recordsIs this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Thomson Reuters Fixed Assets CS's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Thomson Reuters Fixed Assets CS, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Thomson Reuters Fixed Assets CS by email, built from the raw record of the edition. It shows:
- where Thomson Reuters Fixed Assets CS is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Thomson Reuters Fixed Assets CS, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.