| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Search and social advertising platforms | Marketing | 13% | 1 of 113 | 10% | 30 | accepted challenger | ▲+1Since September 2026: 10% → 12%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Programmatic and display advertising | Marketing | 3% | 8 of 92 | 14% | 7 | under 10 labels · led by StackAdapt at 48% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Click fraud protection | Marketing | 2% | 15 of 52 | 0% | 2 | under 10 labels · led by ClickCease at 36% | |
| Video advertising | Marketing | 2% | 10 of 114 | 0% | 5 | under 10 labels · led by StackAdapt at 32% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Retail media platforms | Marketing | 2% | 14 of 121 | 0% | 4 | under 10 labels · led by Amazon Ads at 33% | |
| Mobile apps | Marketing | 0% | 44 of 117 | 25% | 4 | under 10 labels · led by Customer.io at 17% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Ecommerce marketing | Marketing | 0% | 42 of 115 | 0% | 2 | 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% | 70 of 86 | 50% | 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% | 76 of 123 | 0% | 1 | under 10 labels · led by Dreamdata at 27% | newNew since September 2026: not ranked then, 0% now. |
| Data clean rooms | GTM data and infrastructure | 0% | 40 of 100 | 0% | 1 | under 10 labels · led by Snowflake Data Clean Rooms at 19% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Retail media | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 14 of 121, unchanged |
| Programmatic | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 of 92, unchanged |
| Paid ads | 10% | 12% | ▲+1Since September 2026: 10% → 12%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 113, unchanged |
| Click fraud protection | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 15 of 52, unchanged |
| Video ads | 2% | 2% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 9 → 10 of 114 |
| Mobile apps | 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 26 → 44 of 117 |
| 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 31 → 42 of 115 |
| Native ads | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 70 of 86, unchanged |
| Attribution & MMM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 76 of 123, unchanged |
| Data clean rooms | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 40 of 100, 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 3 | 2 | 2 | 0 | 7 |
| GPT-5.4 mini | 2 | 2 | 1 | 0 | 5 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 1 | 4 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 1 | 0 | 0 | 1 | 2 |
| Mistral Small | 2 | 1 | 1 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 1 | 1 | 1 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 4 | 4 | 0 | 9 |
| Kimi K2 | 1 | 1 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 1 | 1 | 0 | 1 | 3 |
| MiniMax M2.5 | 4 | 3 | 0 | 0 | 7 |
| GPT-6 Luna | 3 | 1 | 1 | 1 | 6 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“I'd generally recommend Google Ads / Google Display & Video 360 as the first place to start for connected TV and online video” GPT-5.4 mini · Video ads · paraphrase prompt · first choice
“the native platforms like Google Ads and Meta Ads Manager ... are often the best starting point—they're completely free to use” Grok 4.20 · Paid ads · budget prompt · first choice
“For PPC, Google Ads (particularly for branded and intent-based campaigns) is often considered the best overall solution.” Mistral Small · Paid ads · paraphrase 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
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.
“Trustpilot shows significant dissatisfaction around misleading promotional credits, billing discrepancies, unexpected deductions, and unhelpful support.” DeepSeek V4 Flash · Paid ads · negative prompt · soft negative
“Google Ads can be useful, but choosing it as the main channel *only* because CPIs are low is risky if downstream ROI is weak.” Perplexity Sonar · Mobile apps · negative prompt · soft negative
“Google is a broader display-buying option—not a dedicated content-recommendation network.” GPT-6 Luna · Native ads · comparative prompt · soft negative
“Verdict: Essential but challenging; consider using a third-party management tool” GLM 4.7 FlashX · Paid 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 167 of the 185 answers that named Google Ads and are not a share of its labels.
338 of the 364 domain citations in answers naming Google 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, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
What Google Ads's own pages state, read September 28, 2026: google.com/ads/publisher, google.com/ads/publisher/about, google.com/ads/publisher/stories, google.com/nonprofits/offerings/google-ad-grants, google.com/ads/publisher/intl/cs. 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 Google 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 Google 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 Google Ads by email, built from the raw record of the edition. It shows:
AI models recommend Google Ads first in Search and social advertising 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.