Kompyte vs Google Alerts
Gane, the publisher, sells software in this category. Every product here is measured by the same method as in every other category. How the conflict is handled.
Six of fourteen models named Kompyte first on the direct prompt; zero named Google Alerts. Kompyte was named by thirteen of the fourteen models and Google Alerts by seven and Kompyte carries 52 labels and Google Alerts 11, so the shares are not directly comparable.
Named in two 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 competitive intelligence tools page.
By framing
KompyteFirst choices, of fourteen modelsGoogle Alerts
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 | | | | |
Kompyte Google Alerts first choice named as an alternative argued againstblank: not namedEach cell is one answer, Kompyte on the left and Google Alerts on the right.The direct prompt
Kompyte first, Google Alerts not the choice
6 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
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
Kompyte37%#1 of 15Google Alerts5%#4 of 15Kompyte40%#1 of 12Google Alerts2%#7 of 12Kompyte0%#6 of 7Google Alerts—not namedWhat the models said about Kompyte
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Good entry point if you don’t have the budget for enterprise solutions yet, though coverage may be narrower.” Qwen 3.7 Flash · scale prompt · soft negative
“Risks include over-reliance on potentially biased/aggregated data and privacy issues in social scraping” Grok 4.20 · negative prompt · soft negative
“Good for monitoring mentions and basic tracking but lack Crayon's depth in B2B sales tools.” Grok 4.20 · direct prompt · soft negative
“I would start with: - Kompyte (or Crayon if you need more AI\u2011driven insights) \u2013 gives you the broadest coverage of competitor digital activity in a single dashboard.” MiniMax M2.5 · paraphrase prompt · first choice
“The Best All-In-One Choice: Kompyte ... Kompyte is widely considered the industry standard for mid-to-large market B2B companies.” Qwen 3.7 Flash · paraphrase prompt · first choice
“For most mid‑market B2B companies, Kompyte (now part of Semrush) is the best all‑around competitive intelligence tool.” GLM 4.7 FlashX · direct 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. Two of two in this category shown.
“Avoid Google Alerts, over‑reliance on SEO tools, and any tool that can’t integrate into your workflows” GLM 4.7 FlashX · negative prompt · hard negative
“If you can spend only $0 → start with Google Alerts + Owler + Crunchbase (free tiers).” 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.