Every category where a model named Flores 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
HSA and FSA administrators	Compensation and total rewards	0%	17 of 111	0%	10	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Flores yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Flores across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	2	2
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	1	1	2
Kimi K2	0	0	0
GLM 4.7 FlashX	1	1	2
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	2	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

Direct4 labelsNone

Paraphrase1 labelNone

Comparative13 labelsNone

Budget-constrained2 labelsNone

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative22 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.

“A leading Third-Party Administrator (TPA) that bundles FSA with other reimbursement plans” Qwen 3.7 Flash · HSA & FSA admin · comparative prompt · alternative

“Broad reimbursement and lifestyle benefit suite: WEX Health or Flores.” GLM 4.7 FlashX · HSA & FSA admin · 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 Flores, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Flores was named but was not.

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ProductSame answerTook the first choice insteadHead to head

HealthEquity21 of 2210Not among the top eight

Fidelity HSA18 of 223Not among the top eight

HSA Bank16 of 220Not among the top eight

Lively13 of 226Not among the top eight

Businessolver11 of 222Not among the top eight

WEX Health11 of 221Not among the top eight

TASC10 of 221Not among the top eight

Navia Benefit Solutions9 of 221Not among the top eight

Further9 of 220Not among the top eight

Ameriflex7 of 221Not among the top eight

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 Flores. 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 22 of the 22 answers that named Flores and are not a share of its labels.

Domains cited

hrtechsaas.com22

zipdo.co15

getbenepass.com12

myshortlister.com11

solutions.mycafehealth.com11

wifitalents.com10

gitnux.org9

vendordirectory.shrm.org9

hraddict.com8

worldmetrics.org8

No domain is on file for Flores, so its own site is not marked.

Pages cited

hrtechsaas.com/blog/best-fsa-hsa-administrators-mid-market-employers21

zipdo.co/service/fsa-administration12

getbenepass.com/blog/fsa-providers11

solutions.mycafehealth.com/solutions.php11

hrtechsaas.com/blog/employee-benefits-technology-stack10

vendordirectory.shrm.org/category/benefits-administration-outsourcing/flexible-benefit-pla9

hraddict.com/hsa-fsa-administration-systems8

guideflow.com/blog/hsa-software7

Pages are listed as the models cited them.

Search and answers

Where Flores stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 135,000 a month (“flores”)
AI search demand for its name, est.: 48,335 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 17 of 111 in HSA & FSA admin

Segment leader

29%

HealthEquity

First choices: 0 across its categories
Named in: 22 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 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.

Follow Flores

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 Flores'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 Flores, 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 Flores by email, built from the raw record of the edition. It shows:

where Flores 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 Flores, 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.