Measured · 2026-08-04

Who ChatGPT and Gemini recommend for reverse ETL tools

We put 6 buyer questions about reverse ETL tools to ChatGPT and Gemini. Only Census and Hightouch were named in all 6 answers. Here is the full list, the pages the answers were built from, and what it means whether or not your product is on it.

Answers read
6
Products named
16
Top source
domo.com

Census and Hightouch were the only two reverse ETL tools named in all 6 of 6 answers when we asked ChatGPT and Gemini to recommend the best in the category. We put six buyer questions to the two assistants on 2026-08-04, gave each one live web search, and recorded every product named and every source domain behind it. Two names never missed a single answer.

After those two, the field drops off fast. RudderStack was the only other tool to clear half the sweep, named in 4 of 6 answers. Three tools tied one rung down at 3 of 6: Fivetran, Polytomic and Skyvia. Everyone else sat at 2 of 6 or lower, so the "consensus" here is really two vendors plus a thin supporting cast.

The tail is long and shallow. Across the six answers we counted 16 distinct product names, and 7 of them appeared in exactly one of the six answers: Airbyte, Bruin, Grouparoo, Improvado, Omnata, Strata.io and Weld. A single mention out of six is the line between a tool the assistants reach for by reflex and one that surfaced only because a particular question dragged it in.

How the shortlist changed from question to question

The bare "best reverse etl tools" question returned the widest list of the six: 8 products in one answer, namely Domo, Hightouch, Census, Fivetran, Polytomic, RudderStack, Segment and Skyvia. That is the default shortlist the assistants reach for before a buyer adds any constraint.

Add one budget word and the list reshuffles. "best free reverse etl tools" shrank to 5 names and swapped in Airbyte, which appeared in that free question and nowhere else in the six. Fivetran, Polytomic, Domo and Segment all fell out the moment "free" entered the query.

"most affordable reverse etl tools" also returned 5 names, but a different 5. It surfaced Grouparoo and Improvado, each of which showed up in this one affordability question and no other. So "free" and "affordable" are not the same query to the assistants: free pulled in Airbyte, affordable pulled in Grouparoo and Improvado, and only Census, Hightouch and Skyvia bridged both.

The narrowest framing gave the shortest list. "best reverse etl tools for small teams" returned just 4 names, the fewest of any question, and two of them, Strata.io and Weld, appeared here and nowhere else in the six. A tighter buyer description did not trim the usual list, it produced a nearly different one. The open-ended "what reverse etl tools should I use" did something at the other extreme, returning 8 names and being the only question to surface Bruin and Omnata.

Through all of that churn, Census and Hightouch sat in every question: best, free, affordable, small teams, "what should I use" and open "recommendations". RudderStack rode along in 4 of the 6, missing only the small-teams and most-affordable cuts. That is what steady AI visibility looks like: present no matter how the buyer phrases the ask.

The source map: what the answers actually read

Three domains fed 6 of 6 answers apiece: reddit.com, domo.com and skyvia.com. One community forum and two vendors' own marketing sites were behind every answer in the study. integrate.io came next at 5 of 6, and improvado.io at 4 of 6.

The vendor-owned pages are the insight worth sitting with. domo.com fed all 6 answers and Domo was named in 2 of them; skyvia.com fed all 6 and Skyvia was named in 3; hightouch.com fed 3 answers and Hightouch was named in all 6; fivetran.com, getbruin.com, improvado.io and grouparoo.com each fed answers while their own products, Fivetran, Bruin, Improvado and Grouparoo, got named somewhere in the six. In this category, publishing your own "best reverse ETL tools" roundup is a working route into the answer, because the assistants are reading those pages back to the buyer.

Reddit was the only true community source, present in 6 of 6 answers, with LinkedIn appearing once and no Quora at all. The rest of the map was third-party roundups and neighboring data tools that were cited but never named themselves: integrate.io at 5 of 6, meltano.com, notion.castordoc.com and stacksync.com at 2 of 6 each, and dinmo.com, getdbt.com and gtmengineerclub.com at 1 apiece.

What is absent matters as much as what is present. G2 and Capterra did not appear in a single one of the 6 answers. The review directories you would expect to dominate this category fed none of these AI recommendations. The two assistants leaned on Reddit and vendor blogs instead.

What we would do to get named in this category

If we ran marketing for a reverse ETL tool, we would treat that source list as the target rather than the leaderboard. Being named in 6 of 6 answers, the way Census and Hightouch are, tracks the sources far more than market share: hightouch.com fed only 3 of 6 answers, yet Hightouch was named in all 6, because the Reddit threads and third-party roundups carried it the rest of the way.

In this data that comes down to three moves. Get talked about on Reddit, which fed 6 of 6 answers. Publish a genuinely useful category roundup on your own domain, the move that put domo.com and skyvia.com into all 6 answers. And earn a place in the independent lists the assistants keep reading, integrate.io at 5 of 6 and improvado.io at 4 of 6. The G2 or Capterra profile that is missing from all 6 answers is not where this particular fight is won.

The full list, counted

Share is each tool's presence across the six answers.

ProductNamed inShare
Census6 of 6100%
Hightouch6 of 6100%
RudderStack4 of 667%
Fivetran3 of 650%
Polytomic3 of 650%
Skyvia3 of 650%
Domo2 of 633%
Segment2 of 633%
Twilio Segment2 of 633%

We keep Segment and Twilio Segment as two rows on purpose. The assistants used both labels for the same brand: "Segment" landed in 2 answers, "Twilio Segment" in 2 answers, and the open "recommendations" answer used both names at once. Folding them into "4 of 6" would manufacture a consensus the measurement never showed, so we report the two counts as they came in.

Where Glotier fits

Glotier does not sell a reverse ETL tool, so we are correctly absent from all 6 of these answers, and we did not nudge our way onto a list we do not belong on. That honesty is the whole point of the exercise. What you just read is exactly the check we run for a customer's own category: the same six-question sweep, pointed at your market, takes about a minute, needs no account, and shows you which answers you are in and which sources are leaving you out.

The questions we asked

One live web search per question, put to serper+or:chatgpt,gemini on 2026-08-04. 6 of 6 came back with an answer we could read. Whether a product was named is decided by looking for it in the answer text, not by asking a model for its opinion.

  1. best reverse etl tools
  2. best reverse etl tools for small teams
  3. what reverse etl tools should I use
  4. best free reverse etl tools
  5. most affordable reverse etl tools
  6. reverse etl tools recommendations

Questions people ask

Which reverse ETL tools do ChatGPT and Gemini name most often?
Census and Hightouch, without exception. Both were named in 6 of 6 answers across the six buyer questions we ran on 2026-08-04. RudderStack was next at 4 of 6, then Fivetran, Polytomic and Skyvia tied at 3 of 6. Nothing else reached half the answers.
Do the recommendations change when I ask for free or cheap tools instead of just the best?
Yes, noticeably. The bare 'best' question returned 8 names, but 'best free' dropped to 5 and pulled in Airbyte, which appeared only in that question. 'most affordable' also returned 5, a different set that surfaced Grouparoo and Improvado, each unique to that one question. Only Census, Hightouch and Skyvia appeared in both the free and the affordable answers.
Do G2 and Capterra drive these AI recommendations?
No. Neither G2 nor Capterra appeared in any of the 6 answers. The domains that fed every answer were reddit.com, domo.com and skyvia.com, each behind 6 of 6, followed by integrate.io at 5 of 6 and improvado.io at 4 of 6. For reverse ETL, the answers came from Reddit and vendor blogs, not the review directories.
Can publishing content on our own site get our product named by AI?
It clearly can here. domo.com and skyvia.com each fed all 6 answers, and both vendors were named in the results, Domo in 2 answers and Skyvia in 3. hightouch.com fed 3 answers while Hightouch was named in all 6. Vendor-owned roundups were among the most-read sources in the study, so a strong category page on your own domain is a realistic path in.
How do I check whether my own reverse ETL tool shows up in these answers?
Run the same six-question sweep on your category. Glotier does exactly this measurement, and because Glotier does not sell a reverse ETL tool it is correctly absent from all 6 of these answers. The check is free, needs no account, and takes about a minute to show which answers name you and which sources are feeding your competitors instead.

Do you sell in reverse ETL tools? Find out whether you are in that list.

Paste your domain and watch the same run happen for your own buyer questions: which of the three assistants names you, who gets named instead, and the exact pages those answers were built from. Free, no card, no account for the first check.

Show my visibility

For reference, Census was named in 6 of the 6 answers we read.

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