GTM AI Index

Index › Vendors › SyncMatters · September 2026 Edition

1 category · Named, not ranked

SyncMatters

4Judge labels

1First choices

0Negative labels

2 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. SyncMatters was named 2 times in CRM data quality, where Insycle led with 34%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business72 of 115

under the label threshold

Mid-market31 of 104

under the label threshold

Enterprise18 of 104

under the label threshold

In crm data quality · 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 SyncMatters 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
CRM data quality and deduplication	Revenue operations	0%	31 of 104	0%	2	under 10 labels · led by Insycle at 34%

Movement

This is the first edition on this tier, so no move can be computed for SyncMatters yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

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

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

Direct3 labels1

Paraphrase0 labelsNone

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative4 labels in all, every segment counted; 1 of the 1 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.

“SyncMatters is the best CRM data quality service for HubSpot teams needing migration-ready cleansing with ISO 27001 certification” Claude Haiku 4.5 · CRM data quality · comparative prompt · alternative

“Best Service-Based Solution: SyncMatters” GLM 4.7 FlashX · CRM data quality · 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 SyncMatters, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SyncMatters was named but was not.

ProductSame answerTook the first choice insteadHead to head

Insycle4 of 41Not in the top three

Cloudingo4 of 40Not in the top three

DemandTools4 of 40Not in the top three

Clearout3 of 40Not in the top three

CleanupCRM2 of 40Not in the top three

ZoomInfo OperationsOS2 of 40Not in the top three

HubSpot Data Quality Tools1 of 41Not in the top three

Alteryx1 of 40Not in the top three

Apollo.io1 of 40Not in the top three

Cleanlist1 of 40Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 SyncMatters. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 1 of the 4 answers that named SyncMatters and are not a share of its labels.

Domains cited

cleanlist.ai1

cognism.com1

darwinapps.com1

digi-texx.com1

integrate.io1

ovaledge.com1

syncmatters.comYour site1

wifitalents.com1

zuuz.ai1

Eight of the nine domain citations in answers naming SyncMatters came from somebody else's page.

Pages cited

cleanlist.ai/blog/2026-03-27-data-quality-tools1

cognism.com/blog/data-quality-software1

darwinapps.com/blog/the-11-best-data-quality-monitoring-tools-for-marketing-ops-teams-in-21

digi-texx.com/techblog/crm-data-cleaning-solutions1

integrate.io/blog/top-10-data-cleansing-tools1

ovaledge.com/blog/data-quality-tools1

syncmatters.com/blog/6-crm-data-quality-services-to-know1

wifitalents.com/service/crm-data-quality1

Pages are listed as the models cited 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 SyncMatters'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 SyncMatters, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at syncmatters.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.