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GTM AI Index
Index › Products › Dedupely · October 2026 Edition
1 category · Ranked

Dedupely

56Judge labels
17First choices
4Negative labels
13 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
17% in CRM data quality for small business buyers
Rank 2 of 99 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 14% of its 22 labels there were negative.
What the models named instead of Dedupely →
By buyer segmentStrongest at small business.
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 Dedupely 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
CRM data quality and deduplicationRevenue operations14%2 of 9914%22accepted challenger▲+8Since September 2026: 6% → 15%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Dedupely held within the floor in its one category: no change cleared 11 points.

Best category · CRM data quality · by segment

Small business▲+3Since September 2026: 17% → 20%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
20%from 17% in September 2026
Inside the floor by 8 pointsRank 3 → 2 of 87
Mid-market▲+8Since September 2026: 6% → 15%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
15%from 6% in September 2026
Inside the floor by 3 pointsRank 5 → 2 of 90
Enterprise=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 18 → 10 of 93

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
CRM data quality6%15%▲+8Since September 2026: 6% → 15%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 5 → 2 of 99

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 11 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 Dedupely across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00011
Gemini 3.5 Flash10102
Perplexity Sonar10001
Grok 4.2010113
Mistral Small01001
DeepSeek V4 Flash10113
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K201102
GLM 4.7 FlashX10001
MiniMax M2.510001
GPT-6 Luna10001
Muse Glimmer 30B02204

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
Direct12 labels2
Paraphrase2 labelsNone
Comparative4 labelsNone
Budget-constrained23 labels15
Scale-constrained11 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative56 labels in all, every segment counted; 17 of the 17 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.

“Dedupely looks like a good budget pick: its published pricing starts at $19/month for up to 30,000 CRM records” GPT-6 Luna · CRM data quality · budget prompt · first choice
“the strongest fit in the results is Dedupely for HubSpot/Pipedrive users or DemandTools for Salesforce users” Perplexity Sonar · CRM data quality · budget prompt · first choice
“Dedupely - Best Overall Value ... Choose Dedupely for CRM-integrated deduplication at $19-40/month” GLM 4.7 FlashX · CRM data quality · budget prompt · first choice
“It is widely considered the best low-cost dedicated deduplication tool on the market.” Gemini 3.5 Flash · CRM data quality · budget prompt · first choice

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.

“but G2 notes it has limited data management functionality compared with fuller platforms” GPT-5.4 mini · CRM data quality · budget prompt · soft negative
“Fuzzy matching reliant tools: Dedupely, Cloudingo, etc., need careful ruleset tuning” Grok 4.20 · CRM data quality · negative prompt · soft negative
“Good value, but lighter on continuous quality features” DeepSeek V4 Flash · CRM data quality · scale prompt · soft negative

Named alongside

The products named in the same answers as Dedupely, over the 56 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dedupely was named but was not.
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ProductSame answerTook the first choice insteadHead to head
HubSpot Operations Hub18 of 561Not among the top eight
Informatica Data Quality12 of 561Not among the top eight
Koalify10 of 561Not among the top eight
Plauti Deduplicate10 of 560Not 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 Dedupely. 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 55 of the 56 answers that named Dedupely and are not a share of its labels.

Domains cited

cleanlist.ai39
pipeline.zoominfo.com32
g2.com31
prospeo.io27
cognism.com18
dataladder.com17
datablist.com15
insycle.com15
clearout.io14
dedupe.lyYour site14

208 of the 222 domain citations in answers naming Dedupely came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

dedupe.ly is not in Google's top ten for any of the category's searches. In the answers, Dedupely takes 14% of first choices and Insycle takes 43%.
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In search

Google, US estimates
Position for “crm data quality and deduplication tool”
–
not in the top ten
Position for “best crm data quality and deduplication tool”
–
not in the top ten
Searches for its name, Google
210 a month (“dedupely”)
AI search demand for its name, est.
178 a month
Organic visits to its site
about 421 a month
Searches its site ranks for
59 · 6 in the top three
Sites linking to it
346
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
29 ads · 14 text, 10 image, 5 video · 7 shown in the last 30 days

First shown September 2022, as Dedupely, Inc., verified. Ads started 2025-10 to 2026-09: 19 in the year, 10 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
14%
rank 2 of 99 in CRM data quality
Segment leader
43%
Insycle
First choices
17 across its categories
Named in
56 answers
Its own site cited
in 55 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
Addresses on dedupe.ly
883
subdomains included
Content
56
counted in the table below
Documentation
0
Product · Integration
4 · 23
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog45102026-09-16CRM
Template or tool9undated
Glossary or explainer202025-09-29CRM
How it is countedHide how it is counted

Every page dedupe.ly 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. Of its titles that name a category, most name CRM (16); 0 name the category the models place it in. Read September 29, 2026.

Names read as Dedupely

What the judge wrote, as written, with how often. The vendor table decides that these count as Dedupely; a claim can dispute any of them.
RingLead/Dedupely 1

Follow Dedupely

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

Dedupely is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
CRM deduplication for HubSpot, Salesforce, Pipedrive
For
CRM manager’s
Price stated
Simple pricing that's based only on record count. dedupe.ly
Starting price
$32 /mo dedupe.ly/pricing
Free plan or trial
7-day free trial; free trials include 20 free merges; 20 free trial merges dedupe.ly
Integrations claimed
7 dedupe.ly
Certifications
ISO 27001 certifiedISO 27017ISO 27018ISO/IEC 27001:2022Penetration test
Hosting
Google CloudAWS North Virginia (USA)
Customers named
EfecteFieldBeeTarget3D

What Dedupely's own pages state, read September 28, 2026: dedupe.ly, dedupe.ly/pricing, trust.dedupe.ly, dedupe.ly/product/auto-merge. 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 Dedupely'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 Dedupely, 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 Dedupely by email, built from the raw record of the edition. It shows:

  • where Dedupely 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 Dedupely, 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.
The subscriber app

A verification link goes to your work email; an address at dedupe.ly is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.

Badges

Wins only: a badge exists where Dedupely is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
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Dedupely is among the products AI models recommend first in CRM data quality and deduplication this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in CRM data quality and deduplication, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/revops/crm-data-quality-and-deduplication/"><img src="https://gtm-ai-index.com/badges/2026-10/dedupely--crm-data-quality-and-deduplication-wide.svg" alt="Among AI models' top three in CRM data quality and deduplication, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the CRM data quality and deduplication standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in CRM data quality and deduplication, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/revops/crm-data-quality-and-deduplication/"><img src="https://gtm-ai-index.com/badges/2026-10/dedupely--crm-data-quality-and-deduplication-square.svg" alt="Among AI models' top three in CRM data quality and deduplication, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the CRM data quality and deduplication standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in CRM data quality and deduplication, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/revops/crm-data-quality-and-deduplication/"><img src="https://gtm-ai-index.com/badges/2026-10/dedupely--crm-data-quality-and-deduplication-compact.svg" alt="Among AI models' top three in CRM data quality and deduplication, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the CRM data quality and deduplication standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.