Small business▲+7Since September 2026: 6% → 12%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
12%from 6% in September 2026
Inside the floor by 4 pointsRank 7 → 3 of 80
4 categories · RankedUbersuggest
54Judge labels
13First choices
8Negative labels
12 / 14Models named it
4Categories
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
11% in SEO for small business buyers
Rank 6 of 78 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 30% of its 10 labels there were negative.
What the models named instead of Ubersuggest →By buyer segmentStrongest at small business.
Small business4 of 84
11%28 labels
accepted challenger
Mid-market6 of 78
7%10 labels
criticized challenger
Enterprise55 of 59
0%1 label
under the label threshold
In seo · 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 Ubersuggest 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 |
|---|---|---|---|---|---|---|---|
| SEO and content optimization platforms | Marketing | 7% | 6 of 78 | 30% | 10 | criticized challenger | ▼−4Since September 2026: 12% → 8%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI visibility and answer engine tracking tools | Marketing | 2% | 20 of 90 | 50% | 2 | under 10 labels · led by Otterly at 20% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Market intelligence platforms | GTM data and infrastructure | 0% | 50 of 172 | 0% | 2 | under 10 labels · led by Apollo.io at 17% | |
| Ecommerce marketing | Marketing | 0% | 80 of 115 | 0% | 1 | under 10 labels · led by HubSpot Marketing Hub at 38% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Ubersuggest held within the floor in all four categories: no change cleared 11 points.
Best category · SEO · by segment
Mid-market▼−4Since September 2026: 12% → 8%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
8%from 12% in September 2026
Inside the floor by 7 pointsRank 3 → 5 of 71
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 66 → 54 of 58
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SEO | 12% | 8% | ▼−4Since September 2026: 12% → 8%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 6 of 78 |
| AI visibility | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 103 → 20 of 90 |
| Market intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 50 of 172, unchanged |
| Ecommerce marketing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 80 of 115, unchanged |
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 Ubersuggest 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 Ubersuggest 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 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.1 Fast | 1 | 0 | 0 | 1 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 2 | 0 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 1 | 0 | 1 | 0 | 2 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 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
Direct6 labels1
Paraphrase3 labels2
Comparative5 labels2not counted in share
Budget-constrained24 labels10
Scale-constrained1 labelNone
Negative15 labels1not counted in share
First choiceAlternativeMentionNegative54 labels in all, every segment counted; 13 of the 16 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.
“Ubersuggest – Best Overall Budget Choice ... Why It Wins: Lowest starting price in the category” GLM 4.7 FlashX · SEO · budget prompt · first choice
“I'd suggest starting with Ubersuggest ($20/month) or Ranktracker (free tier)” MiniMax M2.5 · SEO · budget prompt · first choice
“If your budget is under $30/month: Go with Ubersuggest” DeepSeek V4 Flash · AI visibility · budget prompt · first choice
“Ubersuggest — Best Overall Budget Option” DeepSeek V4 Flash · SEO · 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.
“listed by one reviewer among tools they do not recommend” Perplexity Sonar · SEO · negative prompt · hard negative
“One tool hid actionable data behind paywalls. Another gave completely fake results ... The third required account creation before showing anything.” Muse Glimmer 30B · AI visibility · negative prompt · soft negative
“Budget tool with persistent accuracy/quality gripes; fine for basics, but don't rely on it solo.” Grok 4.1 Fast · SEO · negative prompt · soft negative
“Ubersuggest's data accuracy ... lags behind premium tools like Ahrefs and Semrush by 20–40%” DeepSeek V4 Flash · SEO · negative prompt · soft negative
Named alongside
The products named in the same answers as Ubersuggest, over the 54 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ubersuggest was named but was not.ShowHide
Named alongside
The products named in the same answers as Ubersuggest, over the 54 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ubersuggest 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 Ubersuggest. 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 49 of the 54 answers that named Ubersuggest and are not a share of its labels.
Domains cited
blog.hubspot.com30
trysight.ai20
learn.g2.com14
g2.com13
zapier.com12
landingi.com11
onelittleweb.com11
thestacc.com10
rankauthority.com9
selectsoftwarereviews.com9
139 of the 139 domain citations in answers naming Ubersuggest came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
neilpatel.com is not in Google's top ten for any of the category's searches. In the answers, Ubersuggest takes 7% of first choices and Semrush takes 21%.ShowHide
Search and answers
neilpatel.com is not in Google's top ten for any of the category's searches. In the answers, Ubersuggest takes 7% of first choices and Semrush takes 21%.
ShowHideIn search
Google, US estimatesPosition for “seo and content optimization platform”
–
not in the top ten
Position for “best seo and content optimization platform”
–
not in the top ten
- Searches for its name, Google
- 14,800 a month (“ubersuggest”)
- AI search demand for its name, est.
- 222 a month
- Organic visits to its site
- about 205,950 a month
- Searches its site ranks for
- 50,225 · 651 in the top three
- Sites linking to it
- 96,609
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
7%
rank 6 of 78 in SEO
Segment leader
21%
Semrush
- First choices
- 13 across its categories
- Named in
- 54 answers
- Its own site cited
- in 49 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 neilpatel.com
9,175
subdomains included
Content
2,210
counted in the table below
Documentation
1
Product · Integration
2 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,914 | 24 | 2026-09-28 | SEO, Ecommerce marketing | |
| Comparison | 140 | 0 | 2025-12-05 | SEO | |
| Report or ebook | 86 | 0 | 2025-05-12 | SEO | |
| Glossary or explainer | 27 | 0 | 2026-06-29 | SEO | |
| Podcast or video | 14 | 0 | 2024-06-07 | SEO | |
| Webinar or virtual event | 11 | 0 | 2025-05-03 | Direct mail | |
| Template or tool | 9 | 0 | 2025-10-28 | SEO | |
| Case study | 7 | 0 | 2023-07-02 | SEO | |
| Conference or event | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-28Audience first content blog
- 2026-09-25Original data ai citations blog
- 2026-09-23Cro why more traffic wont fix growth blog
- 2026-09-22Fintech ai visibility blog
- 2026-09-21Linkedin creator monetization blog
- 2026-09-17Cyber5 paid media prep blog
How it is countedHide how it is counted
Every page neilpatel.com 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.
Follow Ubersuggest
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
Neil Patel is the company behind Ubersuggest.ShowHide
The company
Neil Patel is the company behind Ubersuggest.
ShowHideOn record
Wikidata- Website
- neilpatel.com
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
In its own words
Stated by the vendor, not checked- Positioning
- combines powerful SEO tools with AI-driven insights to help businesses grow their visibility across both traditional search and AI platforms
- For
- businesses
- Price stated
- with a free plan to get started neilpatel.com
- Free plan or trial
- free plan to get started neilpatel.com
- Not stated on the pages read
- Starting price, integrations, certifications, hosting, customers
What Ubersuggest's own pages state, read September 28, 2026: neilpatel.com, neilpatel.com/br/blog/compliance, neilpatel.com/marketing-stats/platform-engagement-by-age-group, neilpatel.com/training/youtube-unlocked/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 Ubersuggest'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 Ubersuggest, 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 Ubersuggest by email, built from the raw record of the edition. It shows:
- where Ubersuggest 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 Ubersuggest, 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.