Small business▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
4%from 0% in September 2026
Inside the floor by 6 pointsRank 22 → 7 of 94
1 category · RankedDiscern
28Judge labels
3First choices
0Negative labels
9 / 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
2% in Entity management for mid-market buyers
Rank 9 of 81 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 11 labels there were negative.
What the models named instead of Discern →By buyer segmentRead the same way at every buyer size.
Small business7 of 99
4%9 labels
under the label threshold
Mid-market9 of 81
2%11 labels
accepted challenger
Enterprise14 of 89
0%8 labels
under the label threshold
In entity management · 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 Discern 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 |
|---|---|---|---|---|---|---|---|
| Entity management | Equity and corporate | 2% | 9 of 81 | 0% | 11 | accepted challenger | =heldSince September 2026: 3% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Discern held within the floor in its one category: no change cleared 10 points.
Best category · Entity management · by segment
Mid-market=heldSince September 2026: 3% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
2%from 3% in September 2026
Inside the floor by 10 pointsRank 12 → 9 of 79
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 13 → 15 of 77
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Entity management | 3% | 2% | =heldSince September 2026: 3% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 12 → 9 of 81 |
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 Discern 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 Discern 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 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 2 | 0 | 2 |
| Mistral Small | 0 | 2 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 0 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
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
Direct9 labels2
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained7 labels1
Scale-constrained9 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative28 labels in all, every segment counted; 3 of the 3 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.
“For most companies with a limited budget, Discern offers the most cost-effective entry point” DeepSeek V4 Flash · Entity management · budget prompt · first choice
“Diligent Entities and Discern are also excellent choices, especially for companies with more complex compliance needs” Mistral Small · Entity management · direct prompt · alternative
“Discern and CoverPin offer excellent value for money with transparent pricing and robust functionality.” Mistral Small · Entity management · budget prompt · alternative
“vendors such as Commenda and Discern are also commonly shortlisted for mid-market teams” Muse Glimmer 30B · Entity management · 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.
No model argued against it.
Named alongside
The products named in the same answers as Discern, over the 28 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Discern was named but was not.ShowHide
Named alongside
The products named in the same answers as Discern, over the 28 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Discern 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 Discern. 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 28 of the 28 answers that named Discern and are not a share of its labels.
Domains cited
discern.comYour site28
techbullion.com17
us.fitgap.com16
itechguides.com14
sourceforge.net14
getapp.com13
g2.com12
worldmetrics.org12
commenda.io10
wolterskluwer.com9
117 of the 145 domain citations in answers naming Discern came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
discern.com is not in Google's top ten for any of the category's searches. In the answers, Discern takes 2% of first choices and Athennian takes 41%.ShowHide
Search and answers
discern.com is not in Google's top ten for any of the category's searches. In the answers, Discern takes 2% of first choices and Athennian takes 41%.
ShowHideIn search
Google, US estimatesPosition for “entity management tools”
–
not in the top ten
Position for “legal entity management software”
–
not in the top ten
- Searches for its name, Google
- 90,500 a month (“discern”)
- AI search demand for its name, est.
- 5,733 a month
- Organic visits to its site
- about 168,810 a month
- Searches its site ranks for
- 9,206 · 192 in the top three
- Sites linking to it
- 681
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
2%
rank 9 of 81 in entity management
Segment leader
41%
Athennian
- First choices
- 3 across its categories
- Named in
- 28 answers
- Its own site cited
- in 28 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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on discern.com
1,054
subdomains included
Content
965
counted in the table below
Documentation
53
Product · Integration
10 · 6
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 871 | 92 | 2026-09-29 | Entity management | |
| Comparison | 79 | 70 | 2026-09-29 | Entity management | |
| Glossary or explainer | 11 | 11 | 2026-09-29 | ||
| Template or tool | 2 | 2 | 2026-09-29 | ||
| Case study | 1 | 1 | 2026-09-29 | ||
| Conference or event | 1 | 1 | 2026-09-29 |
Most recent
- 2026-09-29Customer stories case study
- 2026-09-29What is discern glossary or explainer
- 2026-09-29Foreign registration venture capital funds blog
- 2026-09-29Manual entity compliance cost at scale blog
- 2026-09-29Entity formation finance operations blog
- 2026-09-29Vc fund entity formation multi state registration blog
How it is countedHide how it is counted
Every page discern.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow Discern
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
Discern is its own company.ShowHide
The company
Discern is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- A Modern Registered Agent
- For
- startups, funds, healthcare, and financial services companies
- Price stated
- Registered Agent + Annual Report Filing Service: $350 per state registration, per year; Entity Formations: $99 +state fees; Foreign Registrations: $99 +state fees; Certificates of Good Standing: $50 +state fees; Other Filings: $149 +state fees; DBAs: Enterprise; Special Representation: Enterprise discern.com/pricing
- Starting price
- 50 discern.com/pricing
- Certifications
- SOC 2 Type II
- Customers named
- White WolfAccoladeRenofi
- Not stated on the pages read
- Free plan or trial, integrations, hosting
What Discern's own pages state, read October 5, 2026: discern.com, discern.com, discern.com/pricing, discern.com/about/security, discern.com/product/formations. 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 Discern'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 Discern, 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 Discern by email, built from the raw record of the edition. It shows:
- where Discern 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 Discern, 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.