Customereye

Gfiber

Software & Web Servicesgfiber.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,285 days (about 2.4 per month). Busiest month: 47% of reviews. Languages: en 99%, es 1%.

Overall Score

47/100
−55.6 vs. last month3.99 ★ average rating · 100 reviews
47/100 from 100 reviews over 7 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

46.9

Industry average 61.8

14.9 below average

Rating

3.99

Industry average 4.15

0.16 below average

Reply rate

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Industry average 34.4%

not measured

Competitive Performance Rank

Among ranked Software & Web Services companies

#2681of 3145 ranked in Software & Web Services
Top 85% · Bottom Tierup 99 from last month
#1 (best)#3145 (worst)
#2679Peer
#2680Peer
#2681This company
#2682Peer
#2683Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

69% of reviews positive, 31% negative

69%
positive
  • Positive69%
  • Neutral0%
  • Negative31%

Sentiment Balance

Covering September 2026 — 3 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% 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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Product Quality
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Loyalty
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Response Speed
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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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