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Veriscore/Audience Intelligence Report
L
Instagram · Subject

@lifestyle.maya

Maya Lifestyle

https://instagram.com/lifestyle.maya
348K
Followers
1.90%
Engagement
64%
Authentic
44Risk / 100
Monitor — Mixed signals
78% confidence · 22.7s analysis
Recommendation

Engagement is inconsistent and a notable share of comments are generic. Run a small test campaign and request the creator's Insights before committing to a larger partnership.

01
Overview

Account Snapshot

Followers
348K
Authentic
64.0%
Suspicious
36.0%
Engagement
1.90%
Avg Likes
5.9K
Per post (last 12)
Avg Comments
142
Per post (last 12)
Posts
642
Total on account
Following
1.1K
Influencer Risk Evaluation Model

IREM Evaluation

IREM v1
01
Authenticity Integrity
Moderate58/100
02
Engagement Stability
Moderate62/100
03
Audience Quality
Moderate54/100
04
Behavioral Consistency
Moderate72/100
05
Reputational Risk Signals
Strong78/100

Evaluated under the Influencer Risk Evaluation Model (IREM) — a Regnor applied intelligence framework.

02
Authenticity

Audience Quality

No Profile Pic
22.0%
No Bio
31.0%
Bot Usernames
18.0%
Cluster Rate
14.0%
Identical profiles
03
Engagement

Engagement Intelligence

Follower Tier
100K–500K
Expected Range
(2, 4)%
Actual Rate
1.90%
Consistency (CV)
88%
Moderate
Like:Comment
41:1
High Outliers
2
Posts with 3x+ median
Recent Engagement Trend
04
Forensics

Comment Forensics

Analyzed 480 comments.

Generic Comments
38.0%
Single-word / repetitive
Emoji-Only
24.0%
Spam / Links
6.0%
Comment Diversity
58.0%
Unique commenters
Repeat Commenters
13.0%
3+ comments each
05
Brand Safety

Brand Safety

VerificationNot verified
Audience Quality64% authentic
Comment Quality38% generic
06
Assessment

Analyst Assessment

Medium risk
Maya's account has a genuine core audience but shows signs of inflated reach: roughly a third of sampled followers look suspicious and comment quality is mixed. The account is not clearly fraudulent, but engagement should be verified before a major spend.
Supporting Evidence
  • ·36% of sampled followers show bot-like characteristics.
  • ·38% generic comment rate suggests some engagement padding.
  • ·Engagement variability (CV 88%) points to uneven post performance.
Brand Risk Assessment

Moderate brand risk. Suitable for lower-commitment collaborations or a paid test, with performance tracked against agreed benchmarks.

07
Methodology

Detailed Signal Analysis

Follower QualityWeight 30%42/100
  • ·About 36% of a sampled follower set show suspicious characteristics.
  • ·Moderate rate of accounts with no profile picture or bio.
Engagement RateWeight 25%38/100
  • ·Engagement rate of 1.9% is slightly below the expected range for this follower tier.
  • ·High engagement variability across recent posts.
Comment QualityWeight 25%46/100
  • ·Generic comment rate is elevated at 38%.
  • ·Comment diversity is moderate — some repeat commenters detected.
Content QualityWeight 20%24/100
  • ·Varied media mix with consistent posting cadence.
08
Next Steps

Action Plan

  1. 01
    Request an audience demographics breakdown and follower auditmedium

    About 36% of sampled followers show suspicious characteristics — confirm reachable audience size before pricing the deal on follower count.

  2. 02
    Ask the creator to explain engagement spikes on recent postsmedium

    Engagement varies widely across posts (CV 88%), which can indicate sporadic boosting; steady engagement is a better partnership signal.

  3. 03
    Manually review comments on 3–5 recent posts before committingmedium

    38% of comments are generic or low-effort — spot-check that real conversation is happening, not pods or bots.

  4. 04
    Run a limited, measurable test before a larger commitmentmedium

    Mixed signals are best resolved with real campaign data.

This report is generated by algorithmic analysis of publicly available data and AI evaluation. Verdicts and scores are signals and estimates, not accusations or statements of fact about any individual. They reflect a single point in time and can change as an account evolves. This is not a professional fraud investigation or legal determination — use it as one input alongside your own due diligence. To re-run with fresh data, use Force Refresh above. If you believe a result is inaccurate, request a recheck or correction at romil@regnor.systems.