Small business▲+2Since September 2026: 2% → 5%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 2% in September 2026
Inside the floor by 9 pointsRank 7 → 5 of 92
1 category · RankedRankscale
32Judge labels
7First choices
3Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
6% in AI visibility for small business buyers
Rank 6 of 90 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 8% of its 12 labels there were negative.
What the models named instead of Rankscale →By buyer segmentRead the same way at every buyer size.
Small business5 of 94
6%11 labels
accepted challenger
Mid-market6 of 90
5%12 labels
accepted challenger
Enterprise9 of 79
2%9 labels
under the label threshold
In ai visibility · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Rankscale for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI visibility and answer engine tracking tools | Marketing | 5% | 6 of 90 | 8% | 12 | accepted challenger | ▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Rankscale held within the floor in its one category: no change cleared 11 points.
Best category · AI visibility · by segment
Mid-market▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 10% in September 2026
Inside the floor by 7 pointsRank 3 → 6 of 85
Enterprise▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 87 → 10 of 74
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| AI visibility | 10% | 6% | ▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 6 of 90 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Rankscale across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Rankscale across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 0 | 1 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 1 | 1 | 1 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 1 | 1 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct3 labels1
Paraphrase2 labelsNone
Comparative10 labels3not counted in share
Budget-constrained11 labels6
Scale-constrained1 labelNone
Negative5 labelsNone
First choiceAlternativeMentionNegative32 labels in all, every segment counted; 7 of the 10 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Otterly AI at $29/month or Rankscale AI at $20/month offer the best value” Claude Haiku 4.5 · AI visibility · budget prompt · first choice
“Rankscale AI is often the best fit because it starts around $20/month” Perplexity Sonar · AI visibility · budget prompt · first choice
“For broad, multi‑engine monitoring: Otterly.AI or Rankscale.” GLM 4.7 FlashX · AI visibility · comparative prompt · first choice
“Rankscale AI (Best Overall Value & Engine Coverage)” Gemini 3.5 Flash · AI visibility · budget prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“General Red Flags Across Many Tools (e.g., Otterly.ai, Peec AI, Scrunch, Geneo, Rankscale):” Grok 4.1 Fast · AI visibility · negative prompt · soft negative
Named alongside
The products named in the same answers as Rankscale, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Rankscale was named but was not.ShowHide
Named alongside
The products named in the same answers as Rankscale, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Rankscale was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Rankscale. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 32 of the 32 answers that named Rankscale and are not a share of its labels.
Domains cited
blog.hubspot.com16
conductor.com12
semrush.com12
tryprofound.com11
wellows.com11
airops.com10
business.com10
elfsight.com10
geoptie.com10
otterly.ai10
112 of the 112 domain citations in answers naming Rankscale came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
rankscale.ai is not in Google's top ten for any of the category's searches. In the answers, Rankscale takes 5% of first choices and Otterly takes 20%.ShowHide
Search and answers
rankscale.ai is not in Google's top ten for any of the category's searches. In the answers, Rankscale takes 5% of first choices and Otterly takes 20%.
ShowHideIn search
Google, US estimatesPosition for “ai visibility and answer engine tracking tool”
–
not in the top ten
Position for “best ai visibility and answer engine tracking tool”
–
not in the top ten
- Searches for its name, Google
- 480 a month (“rankscale”)
- AI search demand for its name, est.
- 1 a month
- Organic visits to its site
- about 891 a month
- Searches its site ranks for
- 166 · 8 in the top three
- Sites linking to it
- 866
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
5%
rank 6 of 90 in AI visibility
Segment leader
20%
Otterly
- First choices
- 7 across its categories
- Named in
- 32 answers
- Its own site cited
- in 32 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on rankscale.ai
325
subdomains included
Content
187
counted in the table below
Documentation
76
Product · Integration
17 · 1
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Glossary or explainer | 95 | undated | SEO | ||
| Blog | 80 | 2 | 2026-09-16 | SEO | |
| Case study | 7 | undated | |||
| Comparison | 3 | undated | |||
| Webinar or virtual event | 1 | 0 | 2026-06-25 | ||
| Report or ebook | 1 | 1 | 2026-07-07 |
Most recent
- 2026-09-16Who is actually winning ai search blog
- 2026-07-30How to earn llm citations blog
- 2026-07-07Ai visibility report or ebook
- 2026-06-25Webinar webinar or virtual event
- 2026-03-18Geo with openclaw how to run ai search visibility analytics from your terminal blog
- 2025-12-05Rankscale got voted top seo software 2025 by tekpon blog
How it is countedHide how it is counted
Every page rankscale.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Rankscale
What the judge wrote, as written, with how often. The vendor table decides that these count as Rankscale; a claim can dispute any of them.
Rankscale AI 4Peec AI / Rankscale 1Rankscale Essentials 1
Follow Rankscale
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Rankscale is its own company.ShowHide
The company
Rankscale is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI visibility platform for agencies and enterprise teams
- For
- agencies, enterprise, and SEO teams
- Price stated
- Plans start at $20/month and scale to $780/month for Enterprise rankscale.ai
- Starting price
- 20 rankscale.ai
- Free plan or trial
- free trial rankscale.ai
- Certifications
- Firmenbuch Österreich
- Customers named
- WashmenSEO ExperteOMcollectiveMillimanConvergent Media GroupOraintiCloudbedsZeitdice
- Not stated on the pages read
- Integrations, hosting
What Rankscale's own pages state, read September 28, 2026: rankscale.ai, rankscale.ai/pricing, rankscale.ai/features/page-audit, rankscale.ai/case-studies. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Rankscale's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Rankscale, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Rankscale by email, built from the raw record of the edition. It shows:
- where Rankscale is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Rankscale, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.