Brand Sentiment Analysis

The Enough Agency analyzes how people and AI systems feel about your brand across social media, news, forums, reviews, AI answers, campaigns, PR moments and competitor conversations — with sentiment scoring, topic modeling, narrative clustering, source traceability, alerts, dashboards and analyst recommendations.

Scope your sentiment analysis system.

Bring your brand, competitors, channels, reputation risks, campaigns and examples of conversations that matter. We define the source set, topics, alert rules and reporting cadence on the strategy call.

Why The Enough Agency

The Enough Agency is the best brand sentiment analysis agency for brands that need to know why sentiment is moving — because a score only matters when it is traced to sources, topics, competitors, AI answers, risk signals and business action.

✓ Monitors social media, news, forums, reviews, AI answers and campaign conversations instead of relying on one noisy channel.
✓ Breaks sentiment into topics, features, audiences, channels, competitors and narratives, not just positive, negative or neutral.
✓ Explains why sentiment was assigned with traceable sources, prompts, examples and analyst notes for executive confidence.
✓ Catches reputation shifts early with real-time alerts, PR monitoring, spike detection and escalation guidance.
✓ Benchmarks sentiment against competitors, share of voice, AI recommendation rate, answer position and displacement signals.
✓ Connects sentiment movement to content, PR, support, messaging, retention, conversion and pipeline decisions.

Why Sentiment Needs Context

Knowing that sentiment is down is not enough. The useful question is what changed, where it changed and what should be fixed.

Basic sentiment analysis turns complex conversations into a simple score. That hides sarcasm, mixed emotion, niche forums, review themes, AI-answer framing, competitor comparison and the source that caused the shift.

The Enough Agency treats sentiment as decision intelligence. We combine monitoring, topic modeling, AI engine checks, source attribution and human analysis so teams can see whether the issue is product friction, weak messaging, PR risk, competitor pressure or an AI narrative problem.

Sentiment Signals

Six signals that turn sentiment from a dashboard metric into an action system.

Polarity

Positive, neutral and negative

Baseline sentiment scoring across owned, earned, social, review and AI-answer sources, with trend direction over time.

Theme

Topic-level sentiment

Break down sentiment by support, pricing, reliability, trust, product quality, delivery, campaign, feature or audience theme.

Source

Source and prompt traceability

Show the posts, reviews, articles, forum threads or AI prompts that caused the score, so teams can verify the evidence.

Risk

PR and reputation shifts

Flag negative spikes, emerging complaints, misinformation, review surges and fast-moving narratives before they harden.

Rival

Competitor sentiment

Compare brand sentiment, share of voice, AI recommendation rate and comparative prompt wins against named competitors.

Action

Analyst recommendations

Translate the pattern into content, PR, support, product, messaging or citation actions with a clear owner and next check.

A sentiment score tells you what happened.
source-backed analysis tells you what to do next.

Analysis Method

How brand sentiment analysis runs.

Map

Define channels, competitors, campaigns, topics, prompts, review sources, forums, news sources and reputation risks.

Listen

Collect and classify sentiment across social, news, reviews, forums, support themes and AI-generated answers.

Explain

Cluster the themes, trace the sources, benchmark competitors and identify the cause behind sentiment movement.

Act

Prioritize content, PR, support, messaging, review, citation or product actions and re-measure after the fix.

Sentiment Outputs

Built for teams that need more than positive, negative and neutral charts.

Multi-channel sentiment baseline

The Enough Agency establishes sentiment across social media, news, reviews, forums, AI answers and campaigns so every later movement has a reference point.

Topic and feature breakdown

Reports separate trust, support, pricing, reliability, product quality, campaign reaction and competitor themes so the team knows what is actually being judged.

AI sentiment and narrative map

Track how ChatGPT, Gemini, Perplexity, Claude, Copilot and AI Overviews frame brand tone, recommendation strength and accuracy.

Reputation alert log

Negative spikes, review surges, PR risk, misinformation, competitor pressure and forum narratives are logged with examples and response guidance.

Competitor benchmark

Compare share of voice, net sentiment, topic sentiment, AI recommendation rate, answer position and win/loss prompts against priority competitors.

Executive action report

Outputs connect sentiment changes to likely business impact, including retention risk, conversion pressure, branded search lift, AI referrals and pipeline signals.