GTM AI Index
Index Marketing AI visibility › Rankscale vs Scrunch
AI visibility and answer engine tracking tools · September 2026 Edition

Rankscale vs Scrunch

Zero of twelve models named Rankscale first on the direct prompt; one named Scrunch. Rankscale was named by ten of the twelve models and Scrunch by nine and Rankscale carries 16 labels and Scrunch 21, so the shares are not directly comparable.

Rankscale

accepted challenger

Named in one category this edition.

Scrunch

accepted challenger

Named in one category this edition.

First-choice share10%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 11; printed, not drawn.
Labels1621A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Rankscale reading right to left. Rank and label count are printed, not drawn.Otterly was named alongside these two in seven of the twelve direct answers. Otterly vs Rankscale · Otterly vs Scrunch · Profound vs Rankscale

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 AI visibility and answer engine tracking tools page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
RankscaleFirst choices, of twelve modelsScrunch
Direct01
Paraphrase01
Comparative00
Budget-constrained501 against Scrunch
Scale-constrained02
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Rankscale and Scrunch were named in the same answer twelve times, of the 34 answers naming Rankscale and the 56 naming Scrunch. In those answers Scrunch took the first choice one time and Rankscale zero.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Rankscale and Scrunch 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
Rankscale Scrunch first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rankscale on the left and Scrunch on the right.

The direct prompt

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

Scrunch first, Rankscale not the choice

1 of 12 modelsRankscale was named in the answer but not as the choice, or not at all.
Kimi K2Scrunch alternatives: AIVO Platform, Goodie, Peec AI, Semrush AI Visibility Toolkit

Neither was named

11 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Wellows alternatives: Ahrefs Brand Radar, GrackerAI, Otterly
GPT-5.4 miniAthena alternatives: Semrush Enterprise / Enterprise AIO
Gemini 3.5 FlashHubSpot AEO Grader alternatives: LLM Pulse, Mentionova, Otterly, Profound
Perplexity SonarWellows alternatives: Goodie, Otterly, Peec AI, Profound
Grok 4.1 FastPeec AI alternatives: Otterly
Mistral SmallPeec AI alternatives: AthenaHQ, Otterly, Profound, Semrush AI Visibility Toolkit
DeepSeek V4 FlashPeec AI alternatives: Mentionova, Otterly, Wellows
Llama 4 Maverickno first choice
Qwen 3.7 FlashOmnibound alternatives: Peec AI, SE Ranking
GLM 4.7 FlashXSemrush AI Visibility Toolkit alternatives: Ahrefs Brand Radar, Otterly, Profound
MiniMax M2.5Wellows alternatives: Mentionova, Profound

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
Rankscale leads by two points.
Rankscale2%#5 of 9
Scrunch0%#– of 9
The full small business standing →
Mid-marketThe figures above
Rankscale leads by two points.
Rankscale10%#3 of 11
Scrunch8%#5 of 11
The full mid-market standing →
Enterprise
The order flips: Scrunch leads at enterprise.
Scrunch2%#3 of 9
Rankscale0%#– of 9
The full enterprise standing →

What the models said about Rankscale

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

“Best For: Absolute lowest entry price and actionable site diagnostics... it is exceptionally cost-effective.” Gemini 3.5 Flash · budget prompt · first choice
“Rankscale if you want the absolute lowest cost with the broadest platform coverage” Kimi K2 · budget prompt · first choice
“I recommend starting with RankScale AI ($20/month) or Otterly.AI ($29/month)” GLM 4.7 FlashX · budget prompt · first choice

What the models said about Scrunch

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

“Avoid enterprise tools like Profound ($499+/month) or Scrunch AI ($250/month)” Qwen 3.7 Flash · budget prompt · hard negative
“Profound or Scrunch AI. Both provide deep developer APIs, agent analytics” Gemini 3.5 Flash · scale prompt · first choice
“it is recommended to look at tools such as Profound, Scrunch, and AthenaHQ” Llama 4 Maverick · scale prompt · first choice
“I recommend Scrunch as the primary choice for pure-play AI visibility” Qwen 3.7 Flash · paraphrase 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.