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

Otterly vs Scrunch

Zero of twelve models named Otterly first on the direct prompt; one named Scrunch. Otterly was named by twelve of the twelve models and Scrunch by nine and Otterly carries 43 labels and Scrunch 21, so the shares are not directly comparable.

Otterly

accepted challenger

Named in one category this edition.

Scrunch

accepted challenger

Named in one category this edition.

First-choice share20%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 11; printed, not drawn.
Labels4321A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Otterly reading right to left. Rank and label count are printed, not drawn.Otterly vs Profound · Otterly vs Rankscale · Otterly vs Peec AI

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.
OtterlyFirst choices, of twelve modelsScrunch
Direct01
Paraphrase21
Comparative101 against Otterly
Budget-constrained801 against Scrunch
Scale-constrained02
Negative003 against Otterly
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, Otterly and Scrunch were named in the same answer twenty-eight times, of the 110 answers naming Otterly and the 56 naming Scrunch. In those answers Scrunch took the first choice one time and Otterly three.

Every model, every framing

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

The direct prompt

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

Scrunch first, Otterly not the choice

1 of 12 modelsOtterly 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 the first choice, one was named

7 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Wellows alternatives: Ahrefs Brand Radar, GrackerAI, Otterly
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
GLM 4.7 FlashXSemrush AI Visibility Toolkit alternatives: Ahrefs Brand Radar, Otterly, Profound

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniAthena alternatives: Semrush Enterprise / Enterprise AIO
Llama 4 Maverickno first choice
Qwen 3.7 FlashOmnibound alternatives: Peec AI, SE Ranking
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
Otterly leads by forty-seven points.
Otterly47%#1 of 9
Scrunch0%#– of 9
The full small business standing →
Mid-marketThe figures above
Otterly leads by twelve points.
Otterly20%#1 of 11
Scrunch8%#5 of 11
The full mid-market standing →
Enterprise
The order flips: Scrunch leads at enterprise.
Scrunch2%#3 of 9
Otterly0%#9 of 9
The full enterprise standing →

What the models said about Otterly

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

“Peec AI, Otterly AI, AthenaHQ: Frequent complaints on plan limits ... synthetic data flaws” Grok 4.1 Fast · negative prompt · hard negative
“Too limited for serious use: Lite plan includes only 15 prompts across 3 engines” Kimi K2 · negative prompt · hard negative
“Tools like Otterly AI or pure monitoring versions of Peec AI provide excellent data but lack built-in workflows” Qwen 3.7 Flash · negative prompt · soft negative
“the best starting point is usually Otterly.AI... Best overall low-budget pick: Otterly.AI” Perplexity Sonar · budget prompt · first choice
“Otterly.AI stands out as the best starting option for AI visibility and answer engine tracking.” Grok 4.1 Fast · budget prompt · first choice
“Best Overall Budget Option: Otterly.ai offers AI search monitoring starting at $29/month” Claude Haiku 4.5 · 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.