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SEC and disclosure reporting · October 2026 Edition

Workiva vs Certent

Eight of fourteen models named Workiva first on the direct prompt; zero named Certent. Workiva was named by fourteen of the fourteen models and Certent by nine and Workiva carries 77 labels and Certent 16, so the shares are not directly comparable.

Workiva

endorsed leader

Named in eleven categories this edition.

Certent

accepted challenger

Named in one category this edition.

First-choice share32%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 6; printed, not drawn.
Labels7716A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Workiva reading right to left. Rank and label count are printed, not drawn.DFIN ActiveDisclosure was named alongside these two in thirteen of the fourteen direct answers. Workiva vs DFIN ActiveDisclosure · Workiva vs Certent Disclosure Management · Workiva vs IRIS CARBON

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the SEC and disclosure reporting page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
WorkivaFirst choices, of fourteen modelsCertent
Direct803 against Workiva
Paraphrase60
Comparative130
Budget-constrained0110 against Workiva
Scale-constrained613 against Workiva
Negative202 against Workiva
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Workiva and Certent stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Workiva Certent first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workiva on the left and Certent on the right.

The direct prompt

The plain question, one answer per model, grouped by where Workiva and Certent stood in it.

Workiva first, Certent an alternative

8 of 14 modelsCertent was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Workiva alternatives: Certent, DFIN ActiveDisclosure, IRIS CARBON
GPT-5.4 miniWorkiva alternatives: DFIN ActiveDisclosure, IRIS CARBON
Gemini 3.5 FlashWorkiva alternatives: Certent Disclosure Management, DFIN ActiveDisclosure, IRIS CARBON, Toppan Merrill Bridge
Perplexity SonarWorkiva alternatives: Certent Disclosure Management, DFIN ActiveDisclosure
Grok 4.1 FastWorkiva alternatives: Certent Disclosure Management, DFIN ActiveDisclosure, IRIS CARBON
Mistral SmallIRIS CARBON, Workiva alternatives: Basedash, RERegnology ESEF
Qwen 3.7 FlashWorkiva alternatives: Certent, DFIN ActiveDisclosure, IRIS CARBON, Toppan Merrill Bridge
MiniMax M2.5Workiva alternatives: ActiveDisclosure, Certent, DFIN ActiveDisclosure, RDG Filings

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GLM 4.7 FlashXCertent Disclosure Management, DFIN ActiveDisclosure alternatives: DataTracks DART, FilePoint, IDL Publisher, Workiva
GPT-6 LunaDFIN ActiveDisclosure alternatives: Toppan Merrill Bridge, Workiva
Muse Glimmer 30BCertent Disclosure Management alternatives: DFIN ActiveDisclosure, Workiva

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
DeepSeek V4 FlashCertent Disclosure Management alternatives: DFIN ActiveDisclosure, IRIS CARBON, Toppan Merrill Bridge
Llama 4 MaverickDFIN ActiveDisclosure
Kimi K2Certent Disclosure Management, DFIN ActiveDisclosure

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Workiva leads by four points.
Workiva9%#4 of 8
Certent4%#5 of 8
The full small business standing →
Mid-marketThe figures above
Workiva leads by twenty-nine points.
Workiva32%#1 of 6
Certent3%#5 of 6
The full mid-market standing →
Enterprise
Workiva leads by eighty-four points.
Workiva84%#1 of 6
Certent0%#6 of 6
The full enterprise standing →

What the models said about Workiva

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Top Recommendation: Workiva ... the default market leader and is consistently rated the best all-around platform for mid-market public companies” DeepSeek V4 Flash · paraphrase prompt · first choice
“Workiva is identified as the leading solution in the disclosure management category with the highest adoption and satisfaction” Claude Haiku 4.5 · comparative prompt · first choice

What the models said about Certent

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“start by requesting a pilot from CERTENT or DFIN. They are positioned specifically for the mid-market” Qwen 3.7 Flash · scale prompt · first choice
“the best platforms are typically Certent and IRIS CARBON” Qwen 3.7 Flash · budget prompt · first choice
“best fit for mid-market public companies that want governed SEC filings with XBRL at a materially lower price than Workiva” Claude Haiku 4.5 · direct prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.