Giskard

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What the AI platforms say after searching the web.

Mention Share % (latest day)
0.5% 0

Mentions (latest day)
1

Total Mentions
6

Avg Rank (latest day)
10.0

Latest tracking day
2026-06-11

Domain Authorityⓘ
35.77

giskard.ai · authority unverified

Knowledge Graph Google · unverified ⓘ

R. Giskard Reventlov — Book character

Daily Mentions Trendⓘ

Average Rankⓘ

By Platformⓘ

Platform	Giskard	Algoroo	Δ mentions
Google	6 rank 8.67	94 rank 6.64	+88
Anthropic	0	4 rank 4.5	+4
OpenAI	0	92 rank 6.87	+92

Daily Citations Trendⓘ

Citation Shareⓘ

	Giskard	Algoroo	Δ
Citations	0	14	+14
Citation share	0.0%	0.2%	—
Blended Share of Voice	0.0%	1.1%	+1.1

Of 6,706 selected citations, all-time. Δ is Algoroo minus Giskard (green means your owned brand leads); bars show citations by platform.

Recent Mentionsⓘ

Date	Platform	Mentioned For	Rank	Sentiment	Context
2026-06-11	Google	Algorithm monitoring	10	—	Giskard An open-source QA platform specifically designed for AI models and LLMs. It helps teams automatically detect vulnerabilities, biases, and performance issues in their algorithms before and after deployment.
2026-05-30	Google	Algorithm monitoring	9	—	Giskard An open-source testing and monitoring framework specifically tailored for LLMs and tabular machine learning models, helping developers detect biases, vulnerabilities, and performance drops.
2026-05-29	Google	Algorithm monitoring	8	—	Giskard An open-source testing and monitoring framework tailored for machine learning models, helping teams detect vulnerabilities, biases, and performance drops in their algorithms before and after deployment.
2026-05-28	Google	Algorithm monitoring	8	—	Giskard An open-source testing and monitoring framework tailored for machine learning models, particularly LLMs and tabular algorithms. It helps teams automatically detect vulnerabilities, biases, and performance bottlenecks in their algorithms before and after deployment.
2026-05-22	Google	Algorithm monitoring	8	—	Giskard This brand focuses on the testing and quality assurance of AI models, offering automated scanning tools to detect vulnerabilities, biases, and performance bottlenecks in algorithms before and after deployment.
2026-05-17	Google	Algorithm monitoring	9	—	Giskard An open-source testing and monitoring framework specifically designed to identify vulnerabilities, biases, and performance issues in ML models before and after deployment.