Customereye

AI Fiesta

Software & Web Servicesaifiesta.ai

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 302 days (about 10 per month). Busiest month: 42% of reviews. Languages: en 100%.

Overall Score

44/100
+55.0 vs. last month2.76 ★ average rating · 100 reviews
44/100 from 100 reviews over 10 months, moderate confidence.

Software & Web Services average: score 61.8, rating 4.15 stars, reply rate 34.4%, over 3,145 ranked companies · benchmark 24 Oct 2026

Score

43.9

Industry average 61.8

17.9 below average

Rating

2.76

Industry average 4.15

1.39 below average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2773of 3145 ranked in Software & Web Services
Top 88% · Bottom Tierup 678 from last month
#1 (best)#3145 (worst)
#2771Peer
#2772Peer
#2773This company
#2774Peer
#2775Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

62% of reviews positive, 38% negative

62%
positive
  • Positive62%
  • Neutral0%
  • Negative38%

Sentiment Balance

Covering August 2026 — 5 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 80% of reviews in this period, with 20% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Pricing
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Communication
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Problem Resolution
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Product Quality
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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