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AI visibility and answer engine tracking tools · October 2026 Edition

Rankscale vs SE Ranking

Zero of fourteen models named Rankscale first on the direct prompt; one named SE Ranking. Rankscale was named by eight of the fourteen models and SE Ranking by ten and Rankscale carries 12 labels and SE Ranking 13, so the shares are not directly comparable.

Rankscale

accepted challenger

Named in one category this edition.

SE Ranking

accepted challenger

United States, founded 2012. Named in five categories this edition.

First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 9; printed, not drawn.
Labels1213A 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.Peec AI was named alongside these two in nine of the fourteen direct answers. Otterly vs Rankscale · Otterly vs SE Ranking · Peec AI vs Rankscale

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 AI visibility and answer engine tracking 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.
RankscaleFirst choices, of fourteen modelsSE Ranking
Direct01
Paraphrase00
Comparative10
Budget-constrained311 against SE Ranking
Scale-constrained00
Negative001 against Rankscale · 1 against SE Ranking
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Rankscale and SE Ranking stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Rankscale SE Ranking first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rankscale on the left and SE Ranking on the right.

The direct prompt

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

SE Ranking first, Rankscale not the choice

1 of 14 modelsRankscale was named in the answer but not as the choice, or not at all.
Mistral SmallProfound, SE Ranking alternatives: Peec AI, Qwairy

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Llama 4 MaverickPeec AI alternatives: HubSpot AEO Grader, Qwairy, SE Ranking
GLM 4.7 FlashXOtterly alternatives: Rankscale, Semrush AI Visibility Toolkit
Muse Glimmer 30BPeec AI, Profound alternatives: Qwairy, SE Ranking

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Peec AI, Profound alternatives: HubSpot AEO Grader, Otterly
GPT-5.4 miniProfound alternatives: Bluefish, BrightEdge AI Catalyst, Conductor, HubSpot AEO Grader, Semrush AI Visibility Toolkit, Similarweb AI Search Intelligence
Gemini 3.5 FlashOrchly AI alternatives: Ahrefs Brand Radar, GrackerAI, Peec AI, Profound, Semrush AI Visibility Toolkit
Perplexity SonarProfound, Semrush AI Visibility Toolkit alternatives: Quattr
Grok 4.20Peec AI alternatives: AthenaHQ, HubSpot AEO Grader, Profound, Semrush AI Visibility Toolkit
DeepSeek V4 FlashHubSpot AEO Grader alternatives: Cognizo, Omnibound, Semrush AI Visibility Toolkit
Qwen 3.7 FlashDeepSmith alternatives: Peec AI, Semrush AI Visibility Toolkit
Kimi K2Peec AI alternatives: Otterly, Searchable
MiniMax M2.5CrowdReply alternatives: Cognizo
GPT-6 LunaPeec AI alternatives: Otterly, 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 six points.
Rankscale6%#5 of 7
SE Ranking0%#– of 7
The full small business standing →
Mid-marketThe figures above
Rankscale leads by two points.
Rankscale5%#6 of 9
SE Ranking4%#7 of 9
The full mid-market standing →
Enterprise
SE Ranking is not named for this buyer.
Rankscale2%#– of 9
SE Ranking—not named
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. Four of five in this category shown.

“General Red Flags Across Many Tools (e.g., Otterly.ai, Peec AI, Scrunch, Geneo, Rankscale):” Grok 4.20 · negative prompt · soft negative
“Otterly AI at $29/month or Rankscale AI at $20/month offer the best value” Claude Haiku 4.5 · budget prompt · first choice
“Rankscale AI is often the best fit because it starts around $20/month” Perplexity Sonar · budget prompt · first choice
“For broad, multi‑engine monitoring: Otterly.AI or Rankscale.” GLM 4.7 FlashX · comparative prompt · first choice

What the models said about SE Ranking

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

“The original in-suite "AI Results Tracker" requires a complex prompt-cap credit model” Gemini 3.5 Flash · negative prompt · soft negative
“typically overkill if you only need AI monitoring” Kimi K2 · budget prompt · soft negative
“### 1. SE Ranking (Best Overall Value)... widely considered the best "budget-friendly" all-in-one SEO suite” Qwen 3.7 Flash · 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.