Customereye

Land Rover

Automotive & Mobilitywww.landrover.com

Review data last updated .

Based on public reviews and response behavior.

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187 reviews over 387 days (about 15 per month). Busiest month: 13% of reviews. Languages: en 72%, it 11%, fr 9%.

Overall Score

23/100
−6.1 vs. last month1.49 ★ average rating · 187 reviews
23/100 from 187 reviews over 13 months, moderate confidence.

Automotive & Mobility average: score 63.5, rating 4.23 stars, reply rate 39.7%, over 2,447 ranked companies · benchmark 30 Oct 2026

Score

22.6

Industry average 63.5

40.9 below average

Rating

1.49

Industry average 4.23

2.74 below average

Reply rate

—

Industry average 39.7%

not measured

Competitive Performance Rank

Among ranked Automotive & Mobility companies

#2390of 2447 ranked in Automotive & Mobility
Top 98% · Bottom Tierup 870 from last month
#1 (best)#2447 (worst)
#2388Peer
#2389Peer
#2390This company
#2391Peer
#2392Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

24% of reviews positive, 73% negative

24%
positive
  • Positive24%
  • Neutral3%
  • Negative73%

Sentiment Balance

Covering October 2026 — 10 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 10% of reviews in this period, with 80% negative and 10% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Customer Support
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Problem Resolution
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Loyalty
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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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