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Competitive intelligence tools · November 2026 Edition

Visualping vs Owler

Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.

Zero of fourteen models named Visualping first on the direct prompt; zero named Owler. Visualping was named by eleven of the fourteen models and Owler by ten and Visualping carries 27 labels and Owler 18, so the shares are not directly comparable.

Visualping

accepted challenger

Named in two categories this edition.

Owler

accepted challenger

Named in two categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 12; printed, not drawn.
Labels2718A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Visualping reading right to left. Rank and label count are printed, not drawn.Klue was named alongside these two in fourteen of the fourteen direct answers. Kompyte vs Visualping · Kompyte vs Owler · Klue vs Visualping

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the competitive intelligence tools page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
VisualpingFirst choices, of fourteen modelsOwler
Direct00
Paraphrase00
Comparative00
Budget-constrained21
Scale-constrained00
Negative001 against Visualping
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Visualping and Owler were named in the same answer thirty-six times, of the 98 answers naming Visualping and the 63 naming Owler. In those answers Owler took the first choice zero times and Visualping seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Visualping and Owler stood in it.
ModelDirectOWParaphraseOWComparativeOWBudget-constrainedOWScale-constrainedOWNegativeOW
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 FlashOW
Perplexity SonarOW
Grok 4.20OW
Mistral SmallOW
DeepSeek V4 FlashOW
Llama 4 Maverick
Qwen 3.7 FlashOW
Kimi K2
GLM 4.7 FlashXOWOW
MiniMax M2.5OWOWOW
GPT-6 Luna
Muse Glimmer 30BOW
VisualpingOW Owler first choice named as an alternative argued againstblank: not namedEach cell is one answer, Visualping on the left and Owler on the right.

The direct prompt

The plain question, one answer per model, grouped by where Visualping and Owler stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Qwen 3.7 FlashCrayon, Klue alternatives: Kompyte, Owler, Similarweb, SyncGTM
Kimi K2Crayon, Klue alternatives: Feedly, Kompyte, Semrush, Visualping
GLM 4.7 FlashXKompyte alternatives: AlphaSense, Crayon, Klue, Owler, Semrush, Similarweb
MiniMax M2.5Klue alternatives: Crayon, Owler, Semrush, SpyFu

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Kompyte alternatives: KeepTabz, Klue
GPT-5.4 miniKlue alternatives: Crayon, Kompyte
Gemini 3.5 FlashKlue alternatives: Contify, Crayon, Kompyte
Perplexity SonarKompyte alternatives: Crayon, Klue
Grok 4.20Crayon alternatives: Klue, Semrush, Similarweb
Mistral SmallCrayon, Klue alternatives: IndustryLens, Kompyte, Semrush, SyncGTM
DeepSeek V4 FlashKompyte alternatives: Crayon, Klue
Llama 4 MaverickKompyte alternatives: Crayon, IndustryLens, Klue, Semrush, SyncGTM
GPT-6 LunaKlue alternatives: Crayon
Muse Glimmer 30BCrayon, Kompyte alternatives: Klue

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Visualping leads by fifteen points.
Visualping15%#2 of 15
Owler0%#10 of 15
The full small business standing →
Mid-marketThe figures above
Visualping leads by two points.
Visualping4%#4 of 12
Owler2%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Visualping0%#– of 7
Owler0%#– of 7
The full enterprise standing →

What the models said about Visualping

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“tools like Visualping ($100/mo) or ChangeTower ($9/mo) are cheap, be cautious” DeepSeek V4 Flash · negative prompt · soft negative
“Add your top 3 competitors' pricing and product pages into Visualping.” Gemini 3.5 Flash · budget prompt · first choice
“Best budget pick: Visualping.” GPT-6 Luna · budget prompt · first choice
“Visualping tracks specific website changes (e.g., pricing or product pages) via email alerts” Grok 4.20 · budget prompt · alternative

What the models said about Owler

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Owler is the best default choice for a company with a limited competitive-intelligence budget.” Perplexity Sonar · budget prompt · first choice
“High-level company profiles, revenue estimates, funding updates... Cost: Free (tracks up to 5 companies).” Gemini 3.5 Flash · budget prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.