| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Video advertising | Marketing | 11% | 3 of 114 | 21% | 42 | accepted challenger | ▼−2Since September 2026: 13% → 11%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Search and social advertising platforms | Marketing | 5% | 6 of 113 | 15% | 20 | accepted challenger | ▼−1Since September 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Programmatic and display advertising | Marketing | 3% | 10 of 92 | 40% | 10 | criticized challenger | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Ecommerce marketing | Marketing | 0% | 20 of 115 | 0% | 6 | under 10 labels · led by HubSpot Marketing Hub at 38% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Native and content advertising | Marketing | 0% | 38 of 86 | 0% | 2 | under 10 labels · led by StackAdapt at 41% | newNew since September 2026: not ranked then, 0% now. |
| Attribution and marketing mix modeling | Marketing | 0% | 118 of 123 | 100% | 1 | under 10 labels · led by Dreamdata at 27% | newNew since September 2026: not ranked then, 0% now. |
| Retail, proximity and IoT marketing | Marketing | 0% | 63 of 130 | 0% | 1 | under 10 labels · led by Foursquare Proximity at 15% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Programmatic | 0% | 4% | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 64 → 10 of 92 |
| Video ads | 13% | 11% | ▼−2Since September 2026: 13% → 11%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 3 of 114 |
| Paid ads | 5% | 4% | ▼−1Since September 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 6 of 113 |
| Ecommerce marketing | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 27 → 20 of 115 |
| Native ads | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 38 of 86, unchanged |
| Attribution & MMM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 118 of 123, unchanged |
| Proximity | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 61 → 63 of 130 |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 3 | 0 | 5 |
| GPT-5.4 mini | 1 | 3 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 0 | 7 | 0 | 1 | 8 |
| Perplexity Sonar | 0 | 2 | 1 | 1 | 4 |
| Grok 4.20 | 2 | 1 | 1 | 2 | 6 |
| Mistral Small | 1 | 2 | 2 | 2 | 7 |
| DeepSeek V4 Flash | 1 | 2 | 0 | 2 | 5 |
| Llama 4 Maverick | 0 | 2 | 0 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 3 | 5 | 1 | 9 |
| Kimi K2 | 1 | 2 | 0 | 1 | 4 |
| GLM 4.7 FlashX | 3 | 1 | 1 | 1 | 6 |
| MiniMax M2.5 | 2 | 4 | 2 | 1 | 9 |
| GPT-6 Luna | 3 | 1 | 1 | 0 | 5 |
| Muse Glimmer 30B | 0 | 1 | 2 | 4 | 7 |
Verbatim evidence the judge attached to positive labels.
“the native platforms like Google Ads and Meta Ads Manager (covering Facebook and Instagram) are often the best starting point” Grok 4.20 · Paid ads · budget prompt · first choice
“Meta Ads (Facebook and Instagram) is generally the best video advertising platform for companies with a limited budget.” Grok 4.20 · Video ads · budget prompt · first choice
“Google Ads or Meta Ads are the best choices—no minimum spend, flexible daily budgets, and powerful targeting.” GLM 4.7 FlashX · Programmatic · budget prompt · first choice
“or Facebook/Instagram if you need more precise targeting. Both allow you to start small and scale what works.” Kimi K2 · Video ads · budget prompt · first choice
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.
“These are Self-Attributing Networks (SANs), meaning they grade their own homework.” Gemini 3.5 Flash · Attribution & MMM · negative prompt · hard negative
“major platforms like YouTube and Meta (Facebook/Instagram) have strict advertising policies. Violations can result in harsh penalties, such as ad account suspension.” Mistral Small · Video ads · negative prompt · soft negative
““very public quality-control challenges for platforms like YouTube and Facebook. Advertisers are worried their ads will show up next to offensive content”” Muse Glimmer 30B · Programmatic · negative prompt · soft negative
“Meta’s ad ecosystem is described as having strict advertising policies, so advertisers need to be careful about compliance and approval risk.” Perplexity Sonar · Video ads · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 171 of the 188 answers that named Meta Ads and are not a share of its labels.
383 of the 383 domain citations in answers naming Meta Ads came from somebody else's page.
Pages are listed as the models cited them.
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.
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.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
What Meta Ads's own pages state, read September 28, 2026: bugbounty.meta.com/payout-guidelines/meta-genai, bugbounty.meta.com/payout-guidelines/ads-audience, developers.meta.com/horizon/resources/app-ads, developers.meta.com/horizon/resources/vrc-quest-ads-7, developers.meta.com/horizon/resources/vrc-quest-ads-6. A claimed page can correct any of them.
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 Meta Ads'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 Meta Ads, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Meta Ads by email, built from the raw record of the edition. It shows:
Meta Ads is among the products AI models recommend first in Video advertising 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.