Customereye

AuthorHouse

Media & Content • United Stateswww.authorhouse.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 1,057 days (about 2.9 per month). Busiest month: 11% of reviews. Languages: en 96%, fr 3%, unknown 1%.

Overall Score

48/100
+23.8 vs. last month2.74 ★ average rating · 100 reviews
48/100 from 100 reviews over 16 months, moderate confidence.

Media & Content average: score 60.7, rating 4.00 stars, reply rate 32.0%, over 1,114 ranked companies · benchmark 22 Oct 2026

Score

47.7

Industry average 60.7

13.0 below average

Rating

2.74

Industry average 4.00

1.26 below average

Reply rate

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Industry average 32.0%

not measured

Competitive Performance Rank

Among ranked Media & Content companies

#874of 1114 ranked in Media & Content
Top 78% · Bottom Tierup 70 from last month
#1 (best)#1114 (worst)
#872Peer
#873Peer
#874This company
#875Peer
#876Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

50% of reviews positive, 48% negative

50%
positive
  • Positive50%
  • Neutral2%
  • Negative48%

Sentiment Balance

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

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 67% of reviews in this period, with 33% 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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Communication
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Pricing
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Onboarding
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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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