1 category · RankedPacvue
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Retail media platforms | Marketing | 7% | 3 of 121 | 0% | 17 | accepted challenger |
Movement
By model
How each model treated Pacvue across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 1 | 1 | 0 | 3 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“start with a management layer like Pacvue or Quartile for governance, cross-retailer reporting and approval workflows” Muse Glimmer 30B · Retail media · paraphrase prompt · first choice
“If you are buying ads: Go with Pacvue. It is the most robust tool” Gemini 3.5 Flash · Retail media · direct prompt · first choice
“Pacvue or Moloco would be strong choices” MiniMax M2.5 · Retail media · paraphrase prompt · first choice
“My default recommendation: Pacvue” GPT-6 Luna · Retail media · paraphrase 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.
Named alongside
The products named in the same answers as Pacvue, over the 48 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Pacvue was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 47 of the 48 answers that named Pacvue and are not a share of its labels.
Domains cited
135 of the 147 domain citations in answers naming Pacvue came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
pacvue.com is not in Google's top ten for any of the category's searches. In the answers, Pacvue takes 7% of first choices and Amazon Ads takes 33%.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 2,900 a month (“pacvue”)
- AI search demand for its name, est.
- 59 a month
In answers
This edition- First choices
- 8 across its categories
- Named in
- 48 answers
- Its own site cited
- in 47 of the answers that named it
Search figures are US estimates from DataForSEO, read October 5, 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.
Names read as Pacvue
Follow Pacvue
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.
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 Pacvue'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 Pacvue, 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 Pacvue by email, built from the raw record of the edition. It shows:
- where Pacvue 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 Pacvue, 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.
Badges
Wins only: a badge exists where Pacvue is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Pacvue is among the products AI models recommend first in Retail media platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.