AI Content Analysis

Every post, scored before it scales.

Brand-safety, sentiment, alignment, and patterns — automatic per post in ~30 seconds. Thread-level comment analysis. 40+ languages. From 5 free runs / month.

Avg. score time
~30s
Brand-safety flags
18
Sentiment signals
12
Languages covered
40+
keepface.com/company/ai-analysis/post/A47F

Brand safety

94

Low risk

Brand alignment

88

Strong fit

Sentiment

76

Mostly positive

Predicted ER lift

12 %

+12% vs. baseline

Comment sentiment · 1,247

Positive
78%
Neutral
18%
Negative
4%

Top themes

AuthenticityRoutineSelf-careAffordable luxuryTexture-focused

AI takeaways

On-brand voice — matches your "candid, friendly, no-jargon" guideline.

Comments cluster around "scent" — consider follow-up content on fragrance notes.

2 replies mention a competing brand by name — flag for moderation review.

Why this layer matters

Pre-flight checks for every campaign post.

Catch risk before reach

Every post is scored against your brand-safety rules — controversial themes, competitor mentions, unapproved claims — before it racks up impressions you can't undo.

Read the whole room

Thread-level comment analysis, not just top-level. We follow the replies, surface the real themes, and flag dogpiles before they trend.

Find the patterns

Content-pattern detection across your campaign feed. See exactly which hooks, CTAs, and visual styles drive engagement — and which kill it.

Competitive advantage

How Keepface AI Content Analysis stacks up.

Honest, side-by-side. Each "partial" or "not in product" cell carries the reason so you can verify against the vendor's own material.

Last reviewed 2026-06-14

Capability Keepface HypeAuditor CreatorIQ Integrity Aspire AI Tagger Modash
Per-post in-campaign scoring (not just pre-vetting)

Account-level audits

Discovery-first

Brand-safety scoring with custom rule packs
Thread-level comment analysis (not just top-level)

Top-level

Top-level

Not in product

Custom analysis prompts (BYO brief)

Enterprise

Public pricing on the website

Pay-per-run from $0.05

Per-seat plans

Sales-led

Sales-led

Sales-led

from $99 / mo

All-in-one with CRM + Reporting + Affiliate

Reporting + AI

No native affiliate

Discovery + IRM add-on

Free / no-card trial of AI analysis

5 runs / month free

7-day trial

Sales-led

Sales-led

Sales-led

14-day trial

Self-serve onboarding

~10 minutes

Multi-week impl.

Sales call required

Sales call required

Full Partial Not in product

All comparisons built from each vendor's publicly published material as of 2026-06-14. Vendor reps — spot something out of date? Email legal@keepface.com and we'll review + update within 7 days.

Pay-per-run, not per seat

$0.05 per post analysed past your monthly free runs. No seat upcharge, no minimum commit. Most comparables price per-user or per-brand on a sales-led contract.

Thread-level, not top-level

Most comment-analysis tools sample the first 100 top-level replies. We follow the thread — sarcasm, dogpile flips, topic drift — so the takeaways reflect the whole conversation.

Same brand, every product

Insights feed back into your CRM, reporting, and affiliate dashboards. One workspace, one taxonomy — no CSV exports between three tools to stitch a single story.

What gets analysed

12 layers of post-stream signal.

Brand-safety scoring

Custom rule packs per brand: profanity, controversial themes, competitor mentions, unapproved claims.

Caption sentiment

Multilingual sentiment + emotion detection on the post copy itself — joy, frustration, FOMO, trust.

Comments thematic analysis

Clusters top-level + thread-level replies into themes. Spot the real conversation, not just the loudest reply.

Thread-level depth

Follows reply chains 3+ levels deep. Catches dogpiles, sarcastic flips, and topic drift the top-level misses.

Per-post insight cards

One card per post with scores, themes, takeaways, and a recommended action. Ships to dashboards + Slack.

Custom insight templates

Roll your own card layout — pick the scores you care about, the themes you track, the brand voice rubric.

Auto-tagging

Posts auto-tagged with your taxonomy on ingest — vertical, format, persona, intent. Searchable, filterable.

Custom taxonomy

Bring your own tag tree. Enforce a consistent label set across creators, campaigns, and regions.

Brand-alignment score

Compares each post against your brand-voice rubric + visual identity guidelines for a single 0-100 fit score.

Content pattern detection

Surfaces the hooks, CTAs, visual styles, and post lengths driving above-average engagement.

Optimal posting time

Per-creator, per-audience-segment posting windows from 90 days of post-level metric snapshots.

Custom analysis prompts

Enterprise — pipe your own prompt templates into the run pipeline. Your brand brief, your rules.

Workflow

Connect → Analyse → Review → Act

01

Connect

Link a campaign's creator handles, drop a post URL, or pipe your post stream via the API.

02

Analyse

Each post scored on brand-safety, sentiment, brand fit, and engagement potential — in ~30 seconds.

03

Review

Insight cards land in the dashboard. Filter by risk flag, theme, or score. Slack / email digests on a schedule.

04

Act

Auto-tag, route to a moderation queue, drop a webhook into your stack — or just let the patterns inform the next campaign.

FAQ

Questions before you commit

Which platforms does it cover?

Instagram (posts, reels, stories), TikTok, YouTube (videos + shorts), and X/Twitter. Comment-thread analysis is supported on IG and TikTok today; YT + X follow this quarter.

How is the brand-safety score computed?

A blended score from three layers: (1) your custom rule pack (banned terms, competitor names, unapproved claims), (2) general brand-safety categories (profanity, controversial themes, sensitive topics) trained on public datasets, and (3) per-post context — caption sentiment, comment thread tone, and link checks. You can tune the weights per workspace.

How is this different from Intelligence Unlock?

Intelligence Unlock is pre-campaign creator vetting (a 20-section report on the creator, their audience, brand-fit forecast). AI Content Analysis runs in-campaign on the actual posts as they go live — scoring each post, surfacing patterns, flagging risk. Different time horizon, different unit of analysis.

Does it work on my pre-existing post archive?

Yes. Backfill runs on the last 90 days of campaign posts by default — bring a longer window via the API if your retention tier covers it. Backfill counts against the monthly run quota.

How do you handle non-English content?

40+ languages covered for sentiment + thematic analysis, including TR, RU, AR, ES, PT, FR, DE, JP, KR, ZH. Brand-safety rule packs accept custom terms in any UTF-8 script. Quality is strongest on the top 12 languages by data volume.

Where is my data stored, and is it used to train external models?

Post + comment text is stored in our EU-region database for the retention window on your tier (30/90/365 days). We don't train external models on your data, and the Anthropic / Google API providers we route to operate under zero-retention agreements for our enterprise tier.

Stop scrolling comment threads. Score every post automatically.

5 free analysis runs every month. Pay only $0.05 per post past that. No sales call required.