AI Indexes
GTM AI Index
Index › Products › Weld · October 2026 Edition
1 category · Named, not ranked

Weld

7Judge labels
1First choices
1Negative labels
5 / 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.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Weld was named 1 time in Warehouse & ETL, where Hightouch led with 40%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In warehouse & etl · 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 Weld 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
Data warehouse and reverse ETL for marketingGTM data and infrastructure0%46 of 830%1under 10 labels · led by Hightouch at 40%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

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

Best category · Warehouse & ETL · by segment

Small business▼−1Since September 2026: 1% → 0%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 1% in September 2026
Inside the floor by 10 pointsRank 9 → 23 of 92
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 5 → 45 of 81
Enterprise=heldSince September 2026: 1% → 1%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
1%from 1% in September 2026
Inside the floor by 11 pointsRank 7 → 11 of 79

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Warehouse & ETL2%0%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 5 → 46 of 83

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 Weld 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 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Direct0 labelsNone
Paraphrase1 labelNone
Comparative1 labelNone
Budget-constrained3 labels1
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative7 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.

“Tools like Weld or Integrate.io bundle ETL *and* reverse ETL in one flat-fee license” DeepSeek V4 Flash · Warehouse & ETL · negative 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 Weld, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Weld was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Hightouch7 of 74Not among the top eight
Fivetran6 of 70Not among the top eight
Snowflake6 of 70Not among the top eight
BigQuery5 of 73Not among the top eight
Census5 of 70Not among the top eight
Airbyte3 of 70Not among the top eight
Amazon Redshift3 of 70Not among the top eight
RudderStack Reverse ETL3 of 70Not among the top eight
Stitch3 of 70Not among the top eight
dbt3 of 70Not 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 Weld. 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 7 of the 7 answers that named Weld and are not a share of its labels.

Domains cited

improvado.io7
integrate.io7
guideflow.com5
hevodata.com5
skyvia.com4
weld.appYour site4
airbyte.com3
toolradar.com3
aboutmartech.com2
cdp.com2

Thirty-eight of the forty-two domain citations in answers naming Weld came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

weld.app is not in Google's top ten for any of the category's searches. In the answers, Weld takes 0% of first choices and Hightouch takes 40%.
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In search

Google, US estimates
Position for “marketing data warehouse and reverse etl stack”
–
not in the top ten
Position for “best marketing data warehouse and reverse etl stack”
–
not in the top ten
Searches for its name, Google
165,000 a month (“weld”)
AI search demand for its name, est.
152,391 a month
Organic visits to its site
about 30,335 a month
Searches its site ranks for
1,600 · 54 in the top three
Sites linking to it
684
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
14 ads · 14 text · 0 shown in the last 30 days

First shown April 2024, as Weld Technologies ApS, verified. Ads started 2025-10 to 2026-09: 4 in the year, 10 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 46 of 83 in Warehouse & ETL
Segment leader
40%
Hightouch
First choices
1 across its categories
Named in
7 answers
Its own site cited
in 7 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 weld.app
2,962
subdomains included
Content
446
counted in the table below
Documentation
2
Product · Integration
0 · 2,199
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog19472026-09-01CRM
Template or tool10302024-09-06CRM
Report or ebook7802026-04-13
Comparison6302026-04-27
Glossary or explainer602026-02-25
Case study202025-10-29
How it is countedHide how it is counted

Every page weld.app 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. Read September 29, 2026.

Follow Weld

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

Weld is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
Fast, reliable data movement
For
data teams
Price stated
$79 weld.app
Starting price
79 weld.app
Free plan or trial
14-day free trial • No credit card required weld.app
Integrations claimed
300 weld.app
Certifications
SOC 2 Type I, II & IIIISO 27001HIPAAGDPR CompliantSOC 2 Type I, IISOC 3SOC 2 Type IIGDPR
Hosting
EU hosting options; Frankfurt preferred for EU customers
Customers named
eCompleteFlatpayHolaflyDishoomVitaMomentDanish EnduranceFemale Invest

What Weld's own pages state, read September 28, 2026: weld.app, weld.app/pricing, weld.app/security, weld.app/customers, weld.app/partners. 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 Weld'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 Weld, 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 Weld by email, built from the raw record of the edition. It shows:

  • where Weld 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 Weld, 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.

A verification link goes to your work email; an address at weld.app 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.