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The AI Engines Keep Bringing Up Matomo: 30 Analytics & Data Software Brands Measured

geobuddy — Sun, 13 Sep 2026 10:00:41 +0000

We asked 4 AI engines — ChatGPT, Perplexity, Claude, Gemini — the questions buyers actually type, about 30 Analytics & data software brands, on 2026-09-12. That is 360 answers. One name kept appearing that we never asked about: the engines volunteered Matomo against 11 of the 30 brands we measured.

Every figure below comes from those answers, and the query to re-run them is at the bottom of this page.

Which engine actually names brands?

Not equally. Gemini named a brand in 54.4% of its answers; Perplexity managed 36.7%. That is a 17.7-point gap between two engines asked identical questions on the same day, which is the whole argument for measuring more than one.

{"type":"bar","title":"Share of answers naming a brand, by engine (Analytics & data software)","unit":"%","data":[{"label":"Gemini","value":54.4},{"label":"ChatGPT","value":47.8},{"label":"Claude","value":43.3},{"label":"Perplexity","value":36.7}],"note":"360 answers measured 2026-09-12."}

Do the engines agree on who exists?

15 of the 30 brands were named by all 4 engines, and one was named by none of them (Fathom). The rest sit in between, visible to some engines and invisible to others.

The widest split was Amplitude: Claude named it in 100% of the answers we asked about it, ChatGPT in 0%. That comparison rests on the handful of questions we asked about that one brand, not on the full sample — treat it as a lead to investigate, not a law.

{"type":"bar","title":"How many engines named each brand","data":[{"label":"4 of 4 engines","value":15,"emphasis":false},{"label":"3 of 4 engines","value":6,"emphasis":false},{"label":"2 of 4 engines","value":3,"emphasis":false},{"label":"1 of 4 engines","value":5,"emphasis":false},{"label":"0 of 4 engines","value":1,"emphasis":true}],"note":"Brands, out of 30 measured."}

Brand by brand, the disagreement is easier to see than to describe. These are the 15 brands the engines split hardest on — each cell is how often that engine named that brand.

{"type":"heatmap","title":"Which engine names which brand","unit":"%","cols":["ChatGPT","Claude","Gemini","Perplexity"],"rows":[{"label":"Amplitude","cells":[0,100,66.7,66.7]},{"label":"Adobe Analytics","cells":[66.7,66.7,66.7,0]},{"label":"Everhour","cells":[66.7,0,0,0]},{"label":"Google Analytics 4","cells":[33.3,100,100,66.7]},{"label":"Heap","cells":[66.7,0,33.3,33.3]},{"label":"Mixpanel","cells":[100,100,100,33.3]},{"label":"Qlik Sense","cells":[33.3,66.7,100,33.3]},{"label":"RescueTime","cells":[66.7,0,33.3,33.3]},{"label":"TimeCamp","cells":[33.3,33.3,66.7,0]},{"label":"Domo","cells":[66.7,33.3,66.7,66.7]},{"label":"FullStory","cells":[33.3,33.3,66.7,33.3]},{"label":"Hotjar","cells":[66.7,33.3,66.7,33.3]},{"label":"Clockify","cells":[66.7,66.7,100,100]},{"label":"Contentsquare","cells":[0,0,33.3,0]},{"label":"Google Analytics","cells":[100,66.7,100,66.7]}],"note":"The 15 brands with the widest spread between engines, out of 30 measured."}

Named is not the same as recommended

A mention is not an endorsement. Of every mention in this study, 39.6% was the engine's first recommendation, while 51.8% was the brand being offered as an alternative to something else. A brand can look visible and still only ever appear as the runner-up.

{"type":"bar","title":"What role the brand played when an engine named it","unit":"%","data":[{"label":"offered as an alternative","value":51.8,"emphasis":true},{"label":"recommended first","value":39.6,"emphasis":false},{"label":"listed in a comparison","value":7.9,"emphasis":false},{"label":"mentioned in passing","value":0.6,"emphasis":false}],"note":"Share of all mentions in this study."}

9 brands were named but never recommended first by any engine: Everhour, Harvest, Heap, Hotjar, Hubstaff, Pendo, Qlik Sense, Segment, TimeCamp. For those, visibility work is not the problem — positioning is.

What the engines actually said

Scores are a summary. These are the sentences themselves — one from each engine, about a different brand, exactly as written on 2026-09-12.

ChatGPT, on Adobe Analytics: "Adobe Analytics - Best For: Comprehensive web analytics for large enterprises. - Key Features: Advanced segmentation, real-time data, and predictive analytics."

Claude, on Amplitude: "Use tools like Google Analytics, Mixpanel, or Amplitude to track user behavior, engagement metrics, conversion rates, and funnel analysis."

Gemini, on Clockify: "Clockify is consistently recommended as a top free time tracker, suitable for individuals and small teams due to its unlimited users, projects, and basic time-tracking features."

Perplexity, on Crazy Egg: "Crazy Egg is often ranked best for simple visual heatmaps and basic optimization workflows."

The engines are not criticising you. They are omitting you.

Of the 164 mentions in this study, 134 were positive in tone and 1 was negative. That is 81.7% positive. Reputation management is not the problem here: when an engine has something to say about a brand it is almost always kind, and when it has nothing to say it simply leaves the brand out. The gap to close is absence, not sentiment.

Which sources are the engines reading?

The engines cited learn.g2.com more than any other source (99 citations, 2.8% of all citations in this study). But the long tail is the real story: the top 10 domains together account for only 16.9% of citations. There is no short list of sites to get listed on — the engines are reading widely.

{"type":"bar","title":"Most-cited sources across every answer","data":[{"label":"learn.g2.com","value":99},{"label":"domo.com","value":82},{"label":"skyvia.com","value":72},{"label":"thedigitalprojectmanager.com","value":65},{"label":"contentsquare.com","value":54},{"label":"toolradar.com","value":51},{"label":"g2.com","value":50},{"label":"worldmetrics.org","value":47},{"label":"myhours.com","value":44},{"label":"thoughtspot.com","value":44}],"note":"Citations counted across 360 answers. \"Engines\" column below shows how many of the 4 cited each source."}

Source	Citations	Engines citing it
learn.g2.com	99	3 of 4
domo.com	82	3 of 4
skyvia.com	72	3 of 4
thedigitalprojectmanager.com	65	3 of 4
contentsquare.com	54	3 of 4
toolradar.com	51	2 of 4
g2.com	50	3 of 4
worldmetrics.org	47	2 of 4
myhours.com	44	3 of 4
thoughtspot.com	44	3 of 4

Who do the engines bring up instead?

These names were never in our sample — the engines volunteered them while answering about someone else. Matomo came up against 11 of the 30 brands we measured. If you are in this category, these are the brands you are being compared to whether you like it or not.

{"type":"bar","title":"Names the engines volunteered, by how many of our brands they appeared against","data":[{"label":"Matomo","value":11},{"label":"Microsoft Clarity","value":5},{"label":"ClickUp","value":4},{"label":"ThoughtSpot","value":3},{"label":"My Hours","value":3},{"label":"Todoist","value":3},{"label":"Plausible","value":3},{"label":"PostHog","value":3},{"label":"Google Data Studio","value":3},{"label":"Databricks","value":3}],"note":"Not part of the sample; named by the engines on their own."}

Every brand we measured

Visibility is the share of scored answers in which an engine named the brand. Tableau led at 100%; Fathom came last at 0%.

Brand	Visibility	Answers naming it
Tableau	100%	12 of 12
Microsoft Power BI	92%	11 of 12
Power BI	92%	11 of 12
Clockify	83%	10 of 12
Google Analytics	83%	10 of 12
Mixpanel	83%	10 of 12
Google Analytics 4	75%	9 of 12
Looker	75%	9 of 12
Toggl Track	75%	9 of 12
Amplitude	58%	7 of 12
Domo	58%	7 of 12
Qlik Sense	58%	7 of 12
Adobe Analytics	50%	6 of 12
Hotjar	50%	6 of 12
FullStory	42%	5 of 12
Crazy Egg	33%	4 of 12
Heap	33%	4 of 12
Hubstaff	33%	4 of 12
RescueTime	33%	4 of 12
TimeCamp	33%	4 of 12
Time Doctor	25%	3 of 12
Everhour	17%	2 of 12
Segment	17%	2 of 12
Sisense	17%	2 of 12
Timely	17%	2 of 12
Contentsquare	8%	1 of 12
Harvest	8%	1 of 12
Paymo	8%	1 of 12
Pendo	8%	1 of 12
Fathom	0%	0 of 12

What to do with this

Measure every engine, not one. The spread between the most and least generous engine in this study was 17.7 points. A check against a single engine tells you about that engine.
Check the role, not just the mention. 51.8% of mentions here put the brand in the alternative slot. Moving from alternative to first recommendation is a positioning problem, not a visibility one.
Follow the citations, not the keyword list. The engines quoted a wide spread of sources here; learn.g2.com was the single most cited. Earning a place on the pages an engine already reads is what changes an answer.
Zero is a starting point, not a verdict. 1 of 30 brands scored zero here. The first mention on any engine is the milestone that proves the sources are being read.
Do not budget for reputation defence you do not need. 81.7% of mentions here were positive. Spend on being present, not on being liked.

What this does not show

Each brand was measured on the questions our generator writes for that brand, not on one shared question set, so this is an average of per-brand measurements and not a like-for-like ranking.
Per-brand splits between engines rest on the few questions asked about that brand, not on the full sample of 30.
These are measurements taken on 2026-09-12. AI answers change; a score here is a reading on that date, not a permanent property of the brand.

Reproduce this

The raw answers are stored per brand, per engine, per question. The figures above come from:

select "brandName", "stratum", "visibility", "mentionCount" from "StudyResult" where "studyId" = 'cmtyqpr3o0003ji04bhwqpyua' order by "visibility" desc

Want the same measurement for your own brand? The free check runs this exact pipeline.

Originally published on GeoBuddy Blog.

Is your brand visible in AI answers? ChatGPT, Claude, Gemini & Perplexity are shaping how people discover products. Check your brand's AI visibility for free — 3 free checks, no signup required.

Most AI Mentions Are Runner-Up Mentions: 30 AI Tools & Assistants Brands Measured

geobuddy — Sun, 13 Sep 2026 10:00:40 +0000

We asked 4 AI engines — ChatGPT, Perplexity, Claude, Gemini — the questions buyers actually type, about 30 AI tools & assistants brands, on 2026-09-12. That is 359 answers. 44.4% of the mentions we found were not recommendations at all — they were the brand being offered as an alternative to something else.

Every figure below comes from those answers, and the query to re-run them is at the bottom of this page.

Which engine actually names brands?

Not equally. Gemini named a brand in 58.4% of its answers; ChatGPT managed 50%. That is an 8.4-point gap between two engines asked identical questions on the same day, which is the whole argument for measuring more than one.

{"type":"bar","title":"Share of answers naming a brand, by engine (AI tools & assistants)","unit":"%","data":[{"label":"Gemini","value":58.4},{"label":"Perplexity","value":56.7},{"label":"Claude","value":53.3},{"label":"ChatGPT","value":50}],"note":"359 answers measured 2026-09-12."}

Do the engines agree on who exists?

21 of the 30 brands were named by all 4 engines, and one was named by none of them (DeepBrain). The rest sit in between, visible to some engines and invisible to others.

The widest split was Claude: Perplexity named it in 100% of the answers we asked about it, ChatGPT in 0%. That comparison rests on the handful of questions we asked about that one brand, not on the full sample — treat it as a lead to investigate, not a law.

{"type":"bar","title":"How many engines named each brand","data":[{"label":"4 of 4 engines","value":21,"emphasis":false},{"label":"3 of 4 engines","value":7,"emphasis":false},{"label":"1 of 4 engines","value":1,"emphasis":false},{"label":"0 of 4 engines","value":1,"emphasis":true}],"note":"Brands, out of 30 measured."}

Brand by brand, the disagreement is easier to see than to describe. These are the 15 brands the engines split hardest on — each cell is how often that engine named that brand.

{"type":"heatmap","title":"Which engine names which brand","unit":"%","cols":["ChatGPT","Claude","Gemini","Perplexity"],"rows":[{"label":"Adobe Firefly","cells":[0,100,100,100]},{"label":"CapCut","cells":[0,66.7,100,100]},{"label":"Claude","cells":[0,66.7,66.7,100]},{"label":"Descript","cells":[33.3,33.3,66.7,100]},{"label":"IBM Watson","cells":[100,33.3,33.3,33.3]},{"label":"Runway","cells":[33.3,100,66.7,66.7]},{"label":"Writesonic","cells":[66.7,0,66.7,66.7]},{"label":"Ada","cells":[33.3,33.3,66.7,33.3]},{"label":"ChatGPT","cells":[33.3,66.7,33.3,33.3]},{"label":"Copy.ai","cells":[66.7,33.3,66.7,33.3]},{"label":"Notion AI","cells":[66.7,66.7,33.3,66.7]},{"label":"QuillBot","cells":[66.7,33.3,66.7,66.7]},{"label":"Runway ML","cells":[66.7,66.7,50,33.3]},{"label":"Rytr","cells":[66.7,33.3,66.7,33.3]},{"label":"Stable Diffusion","cells":[66.7,33.3,66.7,33.3]}],"note":"The 15 brands with the widest spread between engines, out of 30 measured."}

Named is not the same as recommended

A mention is not an endorsement. Of every mention in this study, 42.3% was the engine's first recommendation, while 44.4% was the brand being offered as an alternative to something else. A brand can look visible and still only ever appear as the runner-up.

{"type":"bar","title":"What role the brand played when an engine named it","unit":"%","data":[{"label":"offered as an alternative","value":44.4,"emphasis":true},{"label":"recommended first","value":42.3,"emphasis":false},{"label":"listed in a comparison","value":12.8,"emphasis":false},{"label":"mentioned in passing","value":0.5,"emphasis":false}],"note":"Share of all mentions in this study."}

6 brands were named but never recommended first by any engine: InVideo, Lumen5, Pictory, Stable Diffusion, Sudowrite, Writesonic. For those, visibility work is not the problem — positioning is.

What the engines actually said

Scores are a summary. These are the sentences themselves — one from each engine, about a different brand, exactly as written on 2026-09-12.

ChatGPT, on Ada: "Ada: A dedicated AI chatbot platform that allows businesses to build automated and personalized customer experiences without coding."

Claude, on Adobe Firefly: "Adobe Firefly represents the cutting edge of AI for design software, offering a comprehensive suite of generative AI tools specifically built for creative professionals."

Gemini, on CapCut: "CapCut is considered one of the easiest video editors for beginners and is very popular for quick edits, especially on mobile devices."

Perplexity, on Claude: "Best for long documents and nuanced writing: Claude."

The engines are not criticising you. They are omitting you.

Of the 196 mentions in this study, 170 were positive in tone and 1 was negative. That is 86.7% positive. Reputation management is not the problem here: when an engine has something to say about a brand it is almost always kind, and when it has nothing to say it simply leaves the brand out. The gap to close is absence, not sentiment.

Which sources are the engines reading?

The engines cited zapier.com more than any other source (106 citations, 3.1% of all citations in this study). But the long tail is the real story: the top 10 domains together account for only 13.6% of citations. There is no short list of sites to get listed on — the engines are reading widely.

{"type":"bar","title":"Most-cited sources across every answer","data":[{"label":"zapier.com","value":106},{"label":"reddit.com","value":74},{"label":"learn.g2.com","value":45},{"label":"pcmag.com","value":45},{"label":"eesel.ai","value":39},{"label":"guideflow.com","value":37},{"label":"techradar.com","value":36},{"label":"buffer.com","value":28},{"label":"lindy.ai","value":28},{"label":"toolradar.com","value":27}],"note":"Citations counted across 359 answers. \"Engines\" column below shows how many of the 4 cited each source."}

Source	Citations	Engines citing it
zapier.com	106	3 of 4
reddit.com	74	2 of 4
learn.g2.com	45	3 of 4
pcmag.com	45	2 of 4
eesel.ai	39	3 of 4
guideflow.com	37	3 of 4
techradar.com	36	4 of 4
buffer.com	28	3 of 4
lindy.ai	28	3 of 4
toolradar.com	27	2 of 4

Who do the engines bring up instead?

These names were never in our sample — the engines volunteered them while answering about someone else. Google Gemini came up against 7 of the 30 brands we measured. If you are in this category, these are the brands you are being compared to whether you like it or not.

{"type":"bar","title":"Names the engines volunteered, by how many of our brands they appeared against","data":[{"label":"Google Gemini","value":7},{"label":"Adobe Premiere Pro","value":5},{"label":"Perplexity","value":5},{"label":"Microsoft Copilot","value":4},{"label":"Wordtune","value":3},{"label":"Jasper AI","value":3},{"label":"Anyword","value":3},{"label":"Gemini","value":3},{"label":"DALL-E 3","value":3},{"label":"Final Cut Pro","value":2}],"note":"Not part of the sample; named by the engines on their own."}

Every brand we measured

Visibility is the share of scored answers in which an engine named the brand. DaVinci Resolve led at 100%; DeepBrain came last at 0%.

Brand	Visibility	Answers naming it
DaVinci Resolve	100%	12 of 12
Rasa	92%	11 of 12
Grammarly	83%	10 of 12
Adobe Firefly	75%	9 of 12
Jasper	75%	9 of 12
Midjourney	75%	9 of 12
CapCut	67%	8 of 12
DataRobot	67%	8 of 12
Hugging Face	67%	8 of 12
ManyChat	67%	8 of 12
Runway	67%	8 of 12
Claude	58%	7 of 12
Descript	58%	7 of 12
Notion AI	58%	7 of 12
QuillBot	58%	7 of 12
Runway ML	55%	6 of 11
Copy.ai	50%	6 of 12
IBM Watson	50%	6 of 12
Rytr	50%	6 of 12
Stable Diffusion	50%	6 of 12
Sudowrite	50%	6 of 12
Synthesia	50%	6 of 12
Writesonic	50%	6 of 12
Ada	42%	5 of 12
ChatGPT	42%	5 of 12
HeyGen	25%	3 of 12
InVideo	25%	3 of 12
Pictory	25%	3 of 12
Lumen5	8%	1 of 12
DeepBrain	0%	0 of 12

What to do with this

Measure every engine, not one. The spread between the most and least generous engine in this study was 8.4 points. A check against a single engine tells you about that engine.
Check the role, not just the mention. 44.4% of mentions here put the brand in the alternative slot. Moving from alternative to first recommendation is a positioning problem, not a visibility one.
Follow the citations, not the keyword list. The engines quoted a wide spread of sources here; zapier.com was the single most cited. Earning a place on the pages an engine already reads is what changes an answer.
Zero is a starting point, not a verdict. 1 of 30 brands scored zero here. The first mention on any engine is the milestone that proves the sources are being read.
Do not budget for reputation defence you do not need. 86.7% of mentions here were positive. Spend on being present, not on being liked.

What this does not show

Each brand was measured on the questions our generator writes for that brand, not on one shared question set, so this is an average of per-brand measurements and not a like-for-like ranking.
Per-brand splits between engines rest on the few questions asked about that brand, not on the full sample of 30.
These are measurements taken on 2026-09-12. AI answers change; a score here is a reading on that date, not a permanent property of the brand.

Reproduce this

The raw answers are stored per brand, per engine, per question. The figures above come from:

select "brandName", "stratum", "visibility", "mentionCount" from "StudyResult" where "studyId" = 'cmtypqjgh0001bj2ok6juyqr4' order by "visibility" desc

Want the same measurement for your own brand? The free check runs this exact pipeline.

Originally published on GeoBuddy Blog.

The AI Engines Keep Bringing Up Power Automate: 30 Automation, No-code & Integration Brands Measured

geobuddy — Sat, 12 Sep 2026 22:25:21 +0000

We asked 4 AI engines — ChatGPT, Perplexity, Claude, Gemini — the questions buyers actually type, about 30 Automation, no-code & integration brands, on 2026-09-12. That is 360 answers. One name kept appearing that we never asked about: the engines volunteered Power Automate against 8 of the 30 brands we measured.

Every figure below comes from those answers, and the query to re-run them is at the bottom of this page.

Which engine actually names brands?

Not equally. Gemini named a brand in 37.8% of its answers; Claude managed 27.8%. That is a 10-point gap between two engines asked identical questions on the same day, which is the whole argument for measuring more than one.

{"type":"bar","title":"Share of answers naming a brand, by engine (Automation, no-code & integration)","unit":"%","data":[{"label":"Gemini","value":37.8},{"label":"ChatGPT","value":36.7},{"label":"Perplexity","value":34.4},{"label":"Claude","value":27.8}],"note":"360 answers measured 2026-09-12."}

Do the engines agree on who exists?

10 of the 30 brands were named by all 4 engines, and 6 were named by none of them (Bubble, Firebase, Glide, Glitch, Mavenlink, Zoho Creator). The rest sit in between, visible to some engines and invisible to others.

The widest split was Microsoft Power Automate: Gemini named it in 100% of the answers we asked about it, Claude in 0%. That comparison rests on the handful of questions we asked about that one brand, not on the full sample — treat it as a lead to investigate, not a law.

{"type":"bar","title":"How many engines named each brand","data":[{"label":"4 of 4 engines","value":10,"emphasis":false},{"label":"3 of 4 engines","value":5,"emphasis":false},{"label":"2 of 4 engines","value":2,"emphasis":false},{"label":"1 of 4 engines","value":7,"emphasis":false},{"label":"0 of 4 engines","value":6,"emphasis":true}],"note":"Brands, out of 30 measured."}

Brand by brand, the disagreement is easier to see than to describe. These are the 15 brands the engines split hardest on — each cell is how often that engine named that brand.

{"type":"heatmap","title":"Which engine names which brand","unit":"%","cols":["ChatGPT","Claude","Gemini","Perplexity"],"rows":[{"label":"Microsoft Power Automate","cells":[66.7,0,100,33.3]},{"label":"n8n","cells":[0,100,100,100]},{"label":"Softr","cells":[0,100,33.3,33.3]},{"label":"Airtable","cells":[66.7,0,33.3,33.3]},{"label":"Automate.io","cells":[66.7,0,0,0]},{"label":"Gumloop","cells":[0,33.3,66.7,66.7]},{"label":"Make (formerly Integromat)","cells":[66.7,33.3,66.7,100]},{"label":"Thunkable","cells":[66.7,0,0,0]},{"label":"Workato","cells":[33.3,33.3,100,100]},{"label":"Automation Anywhere","cells":[66.7,33.3,66.7,33.3]},{"label":"Supabase","cells":[33.3,33.3,33.3,66.7]},{"label":"Uipath","cells":[66.7,66.7,66.7,33.3]},{"label":"Zapier","cells":[66.7,66.7,66.7,33.3]},{"label":"Adalo","cells":[100,66.7,100,66.7]},{"label":"Airtable Automations","cells":[33.3,0,0,0]}],"note":"The 15 brands with the widest spread between engines, out of 30 measured."}

Named is not the same as recommended

A mention is not an endorsement. Of every mention in this study, 25.2% was the engine's first recommendation, while 65% was the brand being offered as an alternative to something else. A brand can look visible and still only ever appear as the runner-up.

{"type":"bar","title":"What role the brand played when an engine named it","unit":"%","data":[{"label":"offered as an alternative","value":65,"emphasis":true},{"label":"recommended first","value":25.2,"emphasis":false},{"label":"listed in a comparison","value":8.1,"emphasis":false},{"label":"mentioned in passing","value":1.6,"emphasis":false}],"note":"Share of all mentions in this study."}

10 brands were named but never recommended first by any engine: Airtable, Airtable Automations, Appgyver, Automate.io, FlutterFlow, IFTTT, Make, OutSystems, Retool, Thunkable. For those, visibility work is not the problem — positioning is.

What the engines actually said

Scores are a summary. These are the sentences themselves — one from each engine, about a different brand, exactly as written on 2026-09-12.

ChatGPT, on Adalo: "Adalo - Focused on mobile app development. Easy to use with pre-built components and databases."

Claude, on IFTTT: "IFTTT (If This Then That) - Simple, user-friendly platform for basic automations between apps and services."

Gemini, on Airtable: "Airtable functions as a no-code database and spreadsheet alternative that includes native automation features, making it ideal for managing records and automating processes within a single tool."

Perplexity, on Automation Anywhere: "Choose Automation Anywhere if you want the most direct enterprise RPA alternative."

The engines are not criticising you. They are omitting you.

Of the 123 mentions in this study, 104 were positive in tone and not one was negative. That is 84.6% positive. Reputation management is not the problem here: when an engine has something to say about a brand it is almost always kind, and when it has nothing to say it simply leaves the brand out. The gap to close is absence, not sentiment.

Which sources are the engines reading?

The engines cited zapier.com more than any other source (183 citations, 5.3% of all citations in this study). But the long tail is the real story: the top 10 domains together account for only 25.2% of citations. There is no short list of sites to get listed on — the engines are reading widely.

{"type":"bar","title":"Most-cited sources across every answer","data":[{"label":"zapier.com","value":183},{"label":"gumloop.com","value":114},{"label":"reddit.com","value":94},{"label":"zite.com","value":77},{"label":"lindy.ai","value":76},{"label":"vellum.ai","value":72},{"label":"blaze.tech","value":71},{"label":"thedigitalprojectmanager.com","value":69},{"label":"gartner.com","value":60},{"label":"unito.io","value":55}],"note":"Citations counted across 360 answers. \"Engines\" column below shows how many of the 4 cited each source."}

Source	Citations	Engines citing it
zapier.com	183	3 of 4
gumloop.com	114	3 of 4
reddit.com	94	2 of 4
zite.com	77	3 of 4
lindy.ai	76	3 of 4
vellum.ai	72	3 of 4
blaze.tech	71	3 of 4
thedigitalprojectmanager.com	69	3 of 4
gartner.com	60	3 of 4
unito.io	55	3 of 4

Who do the engines bring up instead?

These names were never in our sample — the engines volunteered them while answering about someone else. Power Automate came up against 8 of the 30 brands we measured. If you are in this category, these are the brands you are being compared to whether you like it or not.

{"type":"bar","title":"Names the engines volunteered, by how many of our brands they appeared against","data":[{"label":"Power Automate","value":8},{"label":"Dell Boomi","value":4},{"label":"Boomi","value":4},{"label":"SnapLogic","value":4},{"label":"Unito","value":4},{"label":"Kissflow","value":4},{"label":"MuleSoft","value":3},{"label":"MuleSoft Anypoint Platform","value":3},{"label":"Informatica IDMC","value":3},{"label":"Celigo","value":3}],"note":"Not part of the sample; named by the engines on their own."}

Every brand we measured

Visibility is the share of scored answers in which an engine named the brand. Webflow led at 100%; Zoho Creator came last at 0%.

Brand	Visibility	Answers naming it
Webflow	100%	12 of 12
Adalo	83%	10 of 12
Integromat (Make)	83%	10 of 12
n8n	75%	9 of 12
Make	67%	8 of 12
Make (formerly Integromat)	67%	8 of 12
Workato	67%	8 of 12
Uipath	58%	7 of 12
Zapier	58%	7 of 12
Automation Anywhere	50%	6 of 12
Microsoft Power Automate	50%	6 of 12
Gumloop	42%	5 of 12
Softr	42%	5 of 12
Supabase	42%	5 of 12
Airtable	33%	4 of 12
Automate.io	17%	2 of 12
Blue Prism	17%	2 of 12
FlutterFlow	17%	2 of 12
Thunkable	17%	2 of 12
Airtable Automations	8%	1 of 12
Appgyver	8%	1 of 12
IFTTT	8%	1 of 12
OutSystems	8%	1 of 12
Retool	8%	1 of 12
Bubble	0%	0 of 12
Firebase	0%	0 of 12
Glide	0%	0 of 12
Glitch	0%	0 of 12
Mavenlink	0%	0 of 12
Zoho Creator	0%	0 of 12

What to do with this

Measure every engine, not one. The spread between the most and least generous engine in this study was 10 points. A check against a single engine tells you about that engine.
Check the role, not just the mention. 65% of mentions here put the brand in the alternative slot. Moving from alternative to first recommendation is a positioning problem, not a visibility one.
Follow the citations, not the keyword list. The engines quoted a wide spread of sources here; zapier.com was the single most cited. Earning a place on the pages an engine already reads is what changes an answer.
Zero is a starting point, not a verdict. 6 of 30 brands scored zero here. The first mention on any engine is the milestone that proves the sources are being read.
Do not budget for reputation defence you do not need. 84.6% of mentions here were positive. Spend on being present, not on being liked.

What this does not show

Each brand was measured on the questions our generator writes for that brand, not on one shared question set, so this is an average of per-brand measurements and not a like-for-like ranking.
Per-brand splits between engines rest on the few questions asked about that brand, not on the full sample of 30.
These are measurements taken on 2026-09-12. AI answers change; a score here is a reading on that date, not a permanent property of the brand.

Reproduce this

The raw answers are stored per brand, per engine, per question. The figures above come from:

select "brandName", "stratum", "visibility", "mentionCount" from "StudyResult" where "studyId" = 'cmtyy8ia00003l104n4kri1x5' order by "visibility" desc

Want the same measurement for your own brand? The free check runs this exact pipeline.

Originally published on GeoBuddy Blog.

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