| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Search and social advertising platforms | Marketing | 12% | 3 of 113 | 19% | 43 | accepted challenger | ▲+3Since September 2026: 9% → 12%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Paid ads | 9% | 12% | ▲+3Since September 2026: 9% → 12%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 3 of 113 |
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 | 0 | 0 | 2 |
| GPT-5.4 mini | 1 | 1 | 0 | 1 | 3 |
| Gemini 3.5 Flash | 1 | 3 | 0 | 1 | 5 |
| Perplexity Sonar | 0 | 2 | 1 | 1 | 4 |
| Grok 4.20 | 1 | 2 | 1 | 1 | 5 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 2 | 1 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 1 | 3 |
| Kimi K2 | 1 | 1 | 0 | 1 | 3 |
| GLM 4.7 FlashX | 1 | 1 | 1 | 1 | 4 |
| MiniMax M2.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-6 Luna | 1 | 2 | 0 | 0 | 3 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“Optmyzr is a management layer built on top of Google Ads, Microsoft Advertising, and Facebook that enables multi-account automation, bid management, and reporting” Claude Haiku 4.5 · Paid ads · paraphrase prompt · first choice
“Optmyzr: PPC powerhouse; automation/rules for Google/Microsoft/Meta. Great for optimization-heavy teams (~$250/account/mo).” Grok 4.20 · Paid ads · scale prompt · first choice
“If you need more comprehensive PPC coverage and have significant Google Ads spend, Optmyzr would be the better choice.” GLM 4.7 FlashX · Paid ads · paraphrase prompt · first choice
“My default recommendation: Optmyzr for a mid-sized B2B team running Google/Microsoft search plus LinkedIn and Meta.” GPT-6 Luna · Paid ads · paraphrase 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.
“or Optmyzr ($200+/month) until your ad spend justifies the cost” Kimi K2 · Paid ads · budget prompt · hard negative
“Many industry-leading platforms (like Optmyzr, Skai, or Smartly.io) cater to enterprise clients and cost hundreds of dollars a month.” Gemini 3.5 Flash · Paid ads · budget prompt · soft negative
“powerful but start at ~$209–$299/month *plus* scale with your ad spend. They may be too expensive for very small budgets” Qwen 3.7 Flash · Paid ads · budget prompt · soft negative
“look at Optmyzr or Semrush/marketing suites only after you're spending enough to justify the subscription” GPT-5.4 mini · Paid ads · budget 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 86 of the 91 answers that named Optmyzr and are not a share of its labels.
303 of the 336 domain citations in answers naming Optmyzr 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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 498 | 1 | 2026-09-16 | ||
| Case study | 44 | undated | |||
| Conference or event | 42 | undated | SEO | ||
| Comparison | 27 | undated | |||
| Template or tool | 16 | 4 | 2026-07-07 | ||
| Report or ebook | 8 | undated | |||
| Glossary or explainer | 8 | 2 | 2026-09-13 | ||
| Webinar or virtual event | 5 | undated |
As the event pages on optmyzr.com state them, read September 28, 2026.
Every page optmyzr.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.
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.
What Optmyzr's own pages state, read September 28, 2026: optmyzr.com, optmyzr.com/pricing, optmyzr.com/products, optmyzr.com/case-studies, optmyzr.com/partners. 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 Optmyzr'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 Optmyzr, 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 Optmyzr by email, built from the raw record of the edition. It shows:
Optmyzr is among the products AI models recommend 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.