Brand24 vs Google Alerts
Two of fourteen models named Brand24 first on the direct prompt; zero named Google Alerts. Brand24 was named by thirteen of the fourteen models and Google Alerts by twelve and Brand24 carries 45 labels and Google Alerts 19, so the shares are not directly comparable.
Wrocław, Poland, founded 2011. Named in seven categories this edition.
By Google, Mountain View, California, United States, founded 1998. Named in seven categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the PR and media monitoring page.
By framing
Brand24First choices, of fourteen modelsGoogle Alerts
Across every category in the November 2026 Edition, Brand24 and Google Alerts were named in the same answer seventy-nine times, of the 232 answers naming Brand24 and the 148 naming Google Alerts. In those answers Google Alerts took the first choice five times and Brand24 forty.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | ||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | | |
Brand24 Google Alerts first choice named as an alternative argued againstblank: not namedEach cell is one answer, Brand24 on the left and Google Alerts on the right.The direct prompt
Brand24 first, Google Alerts not the choice
2 of 14 modelsGoogle Alerts was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Brand2445%#1 of 12Google Alerts3%#6 of 12Brand2424%#2 of 13Google Alerts2%#8 of 13What the models said about Brand24
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“pricing and features less competitive compared to alternatives” Mistral Small · negative prompt · hard negative
“reported limitations around mobile alerts and traditional-media coverage may matter for high-risk brands” Perplexity Sonar · negative prompt · soft negative
“Brand24 stands out as the best overall PR and media monitoring platform for companies with limited budgets” Grok 4.20 · budget prompt · first choice
“the sweet spot is Brand24 (≈ $79 / month) for the best overall balance of coverage, speed, and price” GLM 4.7 FlashX · budget prompt · first choice
“The best PR and media monitoring platform for a company with a limited budget is Brand24.” Llama 4 Maverick · budget prompt · first choice
What the models said about Google Alerts
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“While free, this has serious limitations... only captures 30% of what professional services track.” Claude Haiku 4.5 · negative prompt · hard negative
“Google Alerts is widely considered one of the riskiest tools for professional PR monitoring.” GLM 4.7 FlashX · negative prompt · hard negative
“It is clunky, doesn't track social media effectively... lacks sentiment analysis” Qwen 3.7 Flash · budget prompt · soft negative
“start with Google Alerts (free) for basic needs” MiniMax M2.5 · budget prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.