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PR and media monitoring · November 2026 Edition

Awario vs Google Alerts

Zero of fourteen models named Awario first on the direct prompt; zero named Google Alerts. Awario was named by ten of the fourteen models and Google Alerts by twelve and Awario carries 12 labels and Google Alerts 19, so the shares are not directly comparable.

Awario

accepted challenger

founded 2016. Named in three categories this edition.

Google Alerts

accepted challenger

By Google, Mountain View, California, United States, founded 1998. Named in seven categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 13; printed, not drawn.
Labels1219A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Awario reading right to left. Rank and label count are printed, not drawn.Muck Rack was named alongside these two in eleven of the fourteen direct answers. Muck Rack vs Awario · Muck Rack vs Google Alerts · Brand24 vs Awario

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AwarioFirst choices, of fourteen modelsGoogle Alerts
Direct00
Paraphrase00
Comparative00
Budget-constrained211 against Google Alerts
Scale-constrained00
Negative002 against Google Alerts
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Awario and Google Alerts were named in the same answer fifty-five times, of the 72 answers naming Awario and the 148 naming Google Alerts. In those answers Google Alerts took the first choice two times and Awario twelve.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Awario and Google Alerts stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Awario Google Alerts first choice named as an alternative argued againstblank: not namedEach cell is one answer, Awario on the left and Google Alerts on the right.

The direct prompt

The plain question, one answer per model, grouped by where Awario and Google Alerts stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Agility PR Solutions, Muck Rack alternatives: Mention, Semrush AI PR Toolkit
GPT-5.4 miniMuck Rack alternatives: CisionOne, Meltwater
Gemini 3.5 FlashMuck Rack alternatives: Agility PR Solutions, Semrush AI PR Toolkit
Perplexity SonarMeltwater alternatives: Agility PR Solutions, Brand24, Muck Rack
Grok 4.20Muck Rack alternatives: Brand24, Meltwater
Mistral SmallMeltwater, Muck Rack alternatives: Agility PR Solutions, Mention, Semrush AI PR Toolkit
DeepSeek V4 FlashMuck Rack alternatives: Agility PR Solutions, Brand24
Llama 4 MaverickMuck Rack alternatives: Agility PR Solutions, Meltwater, Semrush AI PR Toolkit
Qwen 3.7 FlashBrand24, Meltwater alternatives: Agility PR Solutions, Semrush AI PR Toolkit
Kimi K2Brand24, Semrush AI PR Toolkit alternatives: CisionOne
GLM 4.7 FlashXMuck Rack alternatives: Brand24, Meltwater
MiniMax M2.5Agility PR Solutions, Semrush AI PR Toolkit alternatives: Brand24, Muck Rack
GPT-6 LunaMuck Rack alternatives: CisionOne, Meltwater
Muse Glimmer 30BMeltwater alternatives: Agility PR Solutions, Brand24, CisionOne

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Awario leads by eleven points.
Awario15%#3 of 12
Google Alerts3%#6 of 12
The full small business standing →
Mid-marketThe figures above
Awario leads by two points.
Awario4%#6 of 13
Google Alerts2%#8 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Awario0%#– of 9
Google Alerts0%#– of 9
The full enterprise standing →

What the models said about Awario

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Awario is likely the best starting point for basic PR and media monitoring” Perplexity Sonar · budget prompt · first choice
“Best Overall Budget Pick: Awario” DeepSeek V4 Flash · budget prompt · first choice
“Starts at $29/month (billed annually). Good for social media and web monitoring with sentiment analysis.” MiniMax M2.5 · budget prompt · alternative

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
Also compared

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.