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 50 → 11 of 52
Accurate · 1 category · RankedAccurate Background
91Judge labels
4First choices
12Negative labels
14 / 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
4% in Background screening for mid-market buyers
Rank 8 of 83 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 11% of its 37 labels there were negative.
What the models named instead of Accurate Background →By buyer segmentRead the same way at every buyer size.
Small business10 of 59
0%18 labels
criticized challenger
Mid-market8 of 83
4%37 labels
accepted challenger
Enterprise6 of 71
4%36 labels
accepted challenger
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 Accurate Background 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 | 4% | 8 of 83 | 11% | 37 | accepted challenger | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Accurate Background held within the floor in its one category: no change cleared 13 points.
Best category · Background screening · by segment
Mid-market▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 11 pointsRank 6 of 70, unchanged
Enterprise▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
2%from 4% in September 2026
Inside the floor by 11 pointsRank 4 → 6 of 62
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Background screening | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 6 → 8 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 Accurate Background 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 Accurate Background 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 | 1 | 0 | 1 | 1 | 3 |
| GPT-5.4 mini | 0 | 2 | 1 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 0 | 3 | 0 | 3 |
| Mistral Small | 0 | 2 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 1 | 2 | 1 | 5 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 2 | 2 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 2 | 0 | 1 | 3 |
| GPT-6 Luna | 0 | 1 | 1 | 0 | 2 |
| Muse Glimmer 30B | 0 | 2 | 1 | 0 | 3 |
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
Direct27 labels2
Paraphrase9 labels1
Comparative24 labelsNone
Budget-constrained10 labels1
Scale-constrained7 labelsNone
Negative14 labelsNone
First choiceAlternativeMentionNegative91 labels in all, every segment counted; 4 of the 4 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.
“My top recommendation for most mid-market B2B companies: Accurate Background” DeepSeek V4 Flash · Background screening · direct prompt · first choice
“Accurate Background is best for mid-market employers across multiple industries” Claude Haiku 4.5 · Background screening · direct prompt · first choice
“Accurate Background - for mid-market companies that need background screening bundled with drug testing and occupational health services.” Llama 4 Maverick · Background screening · direct prompt · alternative
“Best for: B2B companies requiring hybrid screenings (drug testing, physicals, and continuous monitoring).” Gemini 3.5 Flash · Background screening · 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.
“Trustpilot reviews describe it as "the worst company" with reports taking months” GLM 4.7 FlashX · Background screening · negative prompt · hard negative
“rely on automated systems to match records, and this process can result in inaccurate or misleading reports” Claude Haiku 4.5 · Background screening · negative prompt · soft negative
“Multiple negative reviews about extremely long wait times (sometimes over a month)” MiniMax M2.5 · Background screening · negative prompt · soft negative
“Multiple complaints about checks taking 3+ months to complete” DeepSeek V4 Flash · Background screening · negative prompt · soft negative
Named alongside
The products named in the same answers as Accurate Background, over the 91 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Accurate Background was named but was not.ShowHide
Named alongside
The products named in the same answers as Accurate Background, over the 91 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Accurate Background 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 Accurate Background. 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 88 of the 91 answers that named Accurate Background and are not a share of its labels.
Domains cited
checkr.com59
pin.com47
mitratech.com36
selectsoftwarereviews.com35
fadv.com32
bib.com29
peoplemanagingpeople.com29
accurate.comYour site23
goodhire.com23
pcmag.com23
313 of the 336 domain citations in answers naming Accurate Background came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
accurate.com ranks first on Google for the category's searches. In the answers, Accurate Background takes 4% of first choices and Checkr takes 31%.ShowHide
Search and answers
accurate.com ranks first on Google for the category's searches. In the answers, Accurate Background takes 4% of first choices and Checkr takes 31%.
ShowHideIn search
Google, US estimatesPosition for “background check provider”
1
Position for “background check providers”
–
not in the top ten
- Searches for its name, Google
- 8,100 a month (“accurate background”)
- AI search demand for its name, est.
- 561 a month
- Its company's site
- accurate.com shared with Accurate's other products; the figures are the site's
- Organic visits to its site
- about 161,894 a month
- Searches its site ranks for
- 7,093 · 562 in the top three
- Sites linking to it
- 3,174
- Paid Google search
- 1 searches its ads show for, about 10 clicks and $271 a month (estimate)
In answers
This editionShare of first choices
4%
rank 8 of 83 in background screening
Segment leader
31%
Checkr
- First choices
- 4 across its categories
- Named in
- 91 answers
- Its own site cited
- in 88 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 Accurate Background
What the judge wrote, as written, with how often. The vendor table decides that these count as Accurate Background; a claim can dispute any of them.
Accurate 7AccurateNow 3Accurate / Accurate Background 1Accurate Background (+ Orange Tree) 1
Follow Accurate Background
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
Accurate is the company behind Accurate Background.ShowHide
The company
Accurate is the company behind Accurate Background.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Employment Screening | Background Check Services
- For
- Access the tools and information you need to keep track of your background check.
- Integrations claimed
- 2 accurate.com/employment-screening/verifications
- Certifications
- ISO 27001 certified
- Hosting
- U.S. & CanadaUK & EMEAAustralia & APAC
- Customers named
- Osborne Clarke ServicesCapco UK
- Not stated on the pages read
- Price, starting price, free plan or trial
What Accurate Background's own pages state, read September 28, 2026: accurate.com/my-background-check, accurate.com/uk/employment-verification, accurate.com/uk/pre-employment-screening, accurate.com/employment-screening/verifications, accurate.com/employment-screening/credit-checks. A claimed page can correct any of them.
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 Accurate Background'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 Accurate Background, 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 Accurate Background by email, built from the raw record of the edition. It shows:
- where Accurate Background 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 Accurate Background, 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.