Small business▼−4Since September 2026: 5% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 5% in September 2026
Inside the floor by 7 pointsRank 8 → 13 of 106
1 category · Named, not rankedWask
13Judge labels
2First choices
0Negative labels
8 / 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.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Wask was named 6 times in Paid ads, where Google Ads led with 13%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business13 of 113
2%7 labels
under the label threshold
Mid-market16 of 113
2%6 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In paid ads · 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 Wask 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 |
|---|---|---|---|---|---|---|---|
| Search and social advertising platforms | Marketing | 2% | 16 of 113 | 0% | 6 | under 10 labels · led by Google Ads at 13% | newNew since September 2026: not ranked then, 2% now. |
Movement
Since September 2026, Wask held within the floor in its one category: no change cleared 11 points.
Best category · Paid ads · by segment
Mid-marketnewNew since September 2026: not ranked then, 2% now.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 18 of 107, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Paid ads | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 16 of 113, 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 Wask 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 Wask 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 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 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
Direct2 labels1
Paraphrase1 labelNone
Comparative4 labels1not counted in share
Budget-constrained5 labels1
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative13 labels in all, every segment counted; 2 of the 3 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.
“WASK (Best Overall for AI Optimization & Micro-Budgets)” Gemini 3.5 Flash · Paid ads · budget prompt · first choice
“If you have a smaller, generalist marketing team: Lean toward WASK or similar "all-in-one" platforms” Qwen 3.7 Flash · Paid ads · scale prompt · alternative
“WASK offers surprisingly robust automation at a fraction of the cost” DeepSeek V4 Flash · Paid ads · direct prompt · alternative
“Best if you only need basic small-team features: WASK or Shown” Perplexity Sonar · Paid ads · budget prompt · alternative
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.
No model argued against it.
Named alongside
The products named in the same answers as Wask, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Wask was named but was not.ShowHide
Named alongside
The products named in the same answers as Wask, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Wask 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 Wask. 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 13 of the 13 answers that named Wask and are not a share of its labels.
Domains cited
blog.hubspot.com13
get-ryze.ai9
g2.com7
almcorp.com6
adlibrary.com5
cometly.com5
fueler.io5
madgicx.com5
clicksgeek.com4
stackmatix.com4
Sixty-three of the sixty-three domain citations in answers naming Wask came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on wask.co
359
subdomains included
Content
218
counted in the table below
Documentation
33
Product · Integration
6 · 0
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 120 | 3 | 2026-10-01 | Ecommerce marketing, Social media | |
| Report or ebook | 70 | 0 | 2026-06-18 | ||
| Glossary or explainer | 16 | 0 | 2025-02-14 | ||
| Template or tool | 12 | 0 | 2026-03-24 |
Most recent
- 2026-10-01Ad spy tools blog
- 2026-09-30Viral hooks library blog
- 2026-09-29Google ads budget optimization blog
- 2026-06-24Best ai image generators 2026 blog
- 2026-06-18Best time to post on facebook 2026 report or ebook
- 2026-06-12Best time to post on instagram 2026 blog
How it is countedHide how it is counted
Every page wask.co 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. Read October 5, 2026.
Names read as Wask
What the judge wrote, as written, with how often. The vendor table decides that these count as Wask; a claim can dispute any of them.
WASK 6
Follow Wask
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
Wask is its own company.ShowHide
The company
Wask is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- an agentic marketing platform that manages your Facebook, Instagram & Google ads with AI Agent, optimizing your PPC campaigns.
- For
- advertisers
- Price stated
- $25 / per month wask.co/pricing
- Starting price
- 25 wask.co/pricing
- Free plan or trial
- 7-Day Free Trial wask.co
- Certifications
- Premium PartnerAPI Partner
- Not stated on the pages read
- Integrations, hosting, customers
What Wask's own pages state, read October 5, 2026: wask.co, wask.co, wask.co/pricing, wask.co/features/ai-agent. 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 Wask'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 Wask, 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 Wask by email, built from the raw record of the edition. It shows:
- where Wask 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 Wask, 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.