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Which sources AI cites for What are common pitfalls in AI application testing?

Real citation data from live scans across Perplexity, Gemini, Google. 27 sources · 37 citations · updated 2026-06-19

#SourceCited byCitations
1aiotests.com
AI Testing Pitfalls: 4 Common QA Mistakes and How to Avoid Them ...
PerplexityGeminiGoogle
3
2linkedin.com
Common AI Mistakes in QA: Avoiding Pitfalls - LinkedIn
Perplexity
3
3zucisystems.com
3 AI Testing Mistakes & How to Fix Them Before Production
PerplexityGeminiGoogle
3
4club.ministryoftesting.com
What are some potentials pitfalls of using AI-generated test cases in ...
PerplexityGoogle
2
5huyenchip.com
Common pitfalls when building generative AI applications
PerplexityGoogle
2
6panaya.com
5 Critical Mistakes to Avoid When Integrating AI in Testing - Panaya
PerplexityGoogle
2
7photontest.com
10 Mistakes Teams Make When Adopting AI Testing (and How ...
Perplexity
2
8andela.com
Andela | Pitfalls of generative AI in testing
Perplexity
1
9astraq.ai
Top 10 AI Testing Mistakes That Cost Teams Time & Money
Perplexity
1
10automatepro.com
7 common pitfalls of test automation and how to avoid them
Google
1
11blog.qasource.com
Fix Top AI Test Integration Mistakes with QASource
Perplexity
1
12davidmello.com
AI in Test Automation: Real Limitations vs. User Error | David Mello
Perplexity
1
13dev.to
dev.to
Gemini
1
14deviqa.com
deviqa.com
Gemini
1
15forbes.com
forbes.com
Gemini
1
16infosys.com
infosys.com
Gemini
1
17medium.com
medium.com
Gemini
1
18provar.com
Common AI Pitfalls in Testing to Watch Out For
Perplexity
1
19qalified.com
qalified.com
Gemini
1
20reddit.com
Why You Shouldn't Use AI to Write Your Tests : r/programming - Reddit
Google
1
21shiftsync.tricentis.com
What challenges are you facing when it comes to testing AI-based ...
Google
1
22testomat.io
testomat.io
Gemini
1
23testrigor.com
testrigor.com
Gemini
1
24testsigma.com
AI In Software Testing: A Complete Guide - Testsigma
Google
1
25tribe.ai
tribe.ai
Gemini
1
26tricentis.com
tricentis.com
Gemini
1
27trunk.io
trunk.io
Gemini
1

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Honest by design: this is real data from live AI-engine scans (Perplexity, Gemini and Google, plus ChatGPT, Claude and Grok on paid scans). Citation counts reflect how often each source appeared across those scans.