Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 58 → 52 of 52
TruthFinder
31Judge labels
0First choices
26Negative labels
11 / 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 Background screening for mid-market buyers
Rank 83 of 83 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 75% of its 16 labels there were negative.
What the models named instead of TruthFinder →By buyer segmentRead the same way at every buyer size.
Small business59 of 59
0%9 labels
under the label threshold
Mid-market83 of 83
0%16 labels
criticized challenger
Enterprise71 of 71
0%6 labels
under the label threshold
In background screening · 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 TruthFinder 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 |
|---|---|---|---|---|---|---|---|
| Background screening | Talent acquisition | 0% | 83 of 83 | 75% | 16 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, TruthFinder held within the floor in its one category: no change cleared 13 points.
Best category · Background screening · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 59 → 70 of 70
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 47 → 62 of 62
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Background screening | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 59 → 83 of 83 |
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 13 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 TruthFinder 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 TruthFinder 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 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 3 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 1 | 0 | 1 | 2 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 1 | 2 |
| Kimi K2 | 0 | 1 | 0 | 1 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative6 labelsNone
Budget-constrained2 labelsNone
Scale-constrained0 labelsNone
Negative22 labelsNone
First choiceAlternativeMentionNegative31 labels in all, every segment counted; 0 of the 0 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.
“Best for: In-depth personal searches.” Grok 4.1 Fast · Background screening · comparative prompt · alternative
“Most popular for people searches” Kimi K2 · Background screening · comparative 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.
“The FTC alleged that these companies deceived consumers into believing they had criminal records when none existed and violated the Fair Credit Reporting Act” Qwen 3.7 Flash · Background screening · negative prompt · hard negative
“background check providers you should avoid or be cautious about ... TruthFinder & Instant Checkmate ... Ordered to pay $5.8 million for FCRA violations” Kimi K2 · Background screening · negative prompt · hard negative
“you cannot use cheap consumer-search sites (like TruthFinder or BeenVerified) for employment screening, as doing so violates federal law” Gemini 3.5 Flash · Background screening · budget prompt · hard negative
“providers and services you should avoid or be cautious about... TruthFinder – Associated with PeopleConnect, known for misleading services” GLM 4.7 FlashX · Background screening · negative prompt · hard negative
Named alongside
The products named in the same answers as TruthFinder, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TruthFinder was named but was not.ShowHide
Named alongside
The products named in the same answers as TruthFinder, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TruthFinder 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 TruthFinder. 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 31 of the 31 answers that named TruthFinder and are not a share of its labels.
Domains cited
ftc.gov18
checkr.com12
money.com12
bib.com11
goodhire.com10
bbb.org9
justifacts.com8
topconsumerreviews.com8
trustpilot.com8
iprospectcheck.com7
No domain is on file for TruthFinder, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where TruthFinder stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where TruthFinder stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 246,000 a month (“truthfinder”)
- AI search demand for its name, est.
- 2,693 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
0%
rank 83 of 83 in background screening
Segment leader
31%
Checkr
- First choices
- 0 across its categories
- Named in
- 31 answers
- Its own site cited
- No site on file to match
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 TruthFinder
What the judge wrote, as written, with how often. The vendor table decides that these count as TruthFinder; a claim can dispute any of them.
Truthfinder 1
Follow TruthFinder
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.
Is 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 TruthFinder'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 TruthFinder, 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 TruthFinder by email, built from the raw record of the edition. It shows:
- where TruthFinder 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 TruthFinder, 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.