Profound vs Rankscale
Five of fourteen models named Profound first on the direct prompt; zero named Rankscale. Profound was named by fourteen of the fourteen models and Rankscale by eight and Profound carries 42 labels and Rankscale 12, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
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
ProfoundFirst choices, of fourteen modelsRankscale
Across every category in the October 2026 Edition, Profound and Rankscale were named in the same answer fifteen times, of the 126 answers naming Profound and the 32 naming Rankscale. In those answers Rankscale took the first choice two times and Profound five.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
Profound Rankscale first choice named as an alternative argued againstblank: not namedEach cell is one answer, Profound on the left and Rankscale on the right.The direct prompt
Profound first, Rankscale not the choice
5 of 14 modelsRankscale was named in the answer but not as the choice, or not at all.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.Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.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
Rankscale6%#5 of 7Profound2%#7 of 7Profound15%#3 of 9Rankscale5%#6 of 9Profound55%#1 of 9Rankscale2%#– of 9What the models said about Profound
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Tools to Approach with Extra Caution or Avoid (if possible): - Profound: Privacy concerns” Grok 4.20 · negative prompt · hard negative
“What to Avoid - Profound ($399+/mo) – Overkill unless you're enterprise” Kimi K2 · paraphrase prompt · hard negative
“Avoid pricier ones like Profound ($99+)” Grok 4.20 · budget prompt · hard negative
“A purpose-built Answer Engine Optimization platform that combines the industry's deepest AI visibility data with content creation, automated workflows, agent analytics, and real-time attribution.” Muse Glimmer 30B · comparative prompt · first choice
“Peec AI or Profound are most likely to deliver the right balance of features, analytics depth, and team-focused pricing.” Claude Haiku 4.5 · direct prompt · first choice
“the best single pick is usually Profound if your priority is AI visibility / answer-engine tracking specifically” GPT-5.4 mini · direct prompt · first choice
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
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.