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Competitive intelligence tools · October 2026 Edition

Crayon vs Visualping

Zero of fourteen models named Crayon first on the direct prompt; zero named Visualping. Crayon was named by thirteen of the fourteen models and Visualping by eleven and Crayon carries 55 labels and Visualping 17, so the shares are not directly comparable.

Crayon

accepted challenger

Named in five categories this edition.

Visualping

accepted challenger

Named in three categories this edition.

First-choice share12%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 12; printed, not drawn.
Labels5517A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Crayon reading right to left. Rank and label count are printed, not drawn.Kompyte was named alongside these two in twelve of the fourteen direct answers. Kompyte vs Crayon · Kompyte vs Visualping · Klue vs Crayon

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.
CrayonFirst choices, of fourteen modelsVisualping
Direct003 against Crayon
Paraphrase401 against Crayon
Comparative80
Budget-constrained023 against Crayon
Scale-constrained201 against Crayon
Negative105 against Crayon · 1 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 October 2026 Edition, Crayon and Visualping were named in the same answer sixty-six times, of the 308 answers naming Crayon and the 99 naming Visualping. In those answers Visualping took the first choice fourteen times and Crayon two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Crayon and Visualping stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Crayon Visualping first choice named as an alternative argued againstblank: not namedEach cell is one answer, Crayon on the left and Visualping on the right.

The direct prompt

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

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Klue alternatives: Crayon, Kompyte
GPT-5.4 miniKompyte alternatives: Crayon, Klue, Similarweb
Gemini 3.5 FlashKlue alternatives: BattleReady, Crayon, Kompyte
Perplexity SonarKompyte alternatives: Crayon, Similarweb, ZoomInfo
Qwen 3.7 FlashKlue alternatives: Ahrefs, Clutch, Crayon, G2 Buyer Intent, Kompyte, Semrush
GLM 4.7 FlashXKompyte alternatives: Crayon, Klue
GPT-6 LunaKlue alternatives: Crayon
Muse Glimmer 30BKompyte alternatives: Crayon, Klue

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.1 FastKompyte alternatives: Semrush
Mistral SmallKlue, Kompyte
DeepSeek V4 FlashKompyte alternatives: Klue
Llama 4 MaverickKompyte
Kimi K2Kompyte alternatives: Klue, Semrush
MiniMax M2.5ZoomInfo alternatives: Google Alerts, Mention, Semrush

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 fourteen points.
Visualping16%#2 of 15
Crayon2%#10 of 15
The full small business standing →
Mid-marketThe figures above
The order flips: Crayon leads at mid-market.
Crayon12%#3 of 12
Visualping4%#5 of 12
The full mid-market standing →
Enterprise
Crayon leads by forty-four points.
Crayon44%#1 of 7
Visualping0%#– of 7
The full enterprise standing →

What the models said about Crayon

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

“Enterprise tools (Crayon, Klue) typically start at $25K+/year — avoid these on a limited budget” Kimi K2 · budget prompt · hard negative
“Avoid if you don't have a dedicated person to manage curation.” DeepSeek V4 Flash · negative prompt · hard negative
“If the company is looking for an all-in-one platform that can track competitor websites, messaging, pricing, and product changes, Crayon or Klue may be a good fit.” Llama 4 Maverick · paraphrase prompt · first choice
“Compliant, managed data-extraction pipelines or enterprise CI tools (like Crayon or Klue) that strictly monitor public web signals” Gemini 3.5 Flash · negative prompt · first choice
“Crayon | All-around B2B CI for marketing + sales | $15K–$40K/yr | AI battlecards, deep CRM/Slack integration” DeepSeek V4 Flash · scale prompt · first choice

What the models said about Visualping

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

“some tiers of Owler, Visualping, or Google Alerts) are not full CI tools” Qwen 3.7 Flash · negative prompt · soft negative
“the best single starting tool is usually Visualping if your main need is tracking changes on competitors’ websites” Perplexity Sonar · budget prompt · first choice
“Top Recommendation: Visualping (Free tier; paid from ~$10-14/month)” Grok 4.1 Fast · budget prompt · first choice
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.