You already know how your posts perform. You have no idea how your competitors' do.

Ten-plus years into social media, no serious brand lacks basic analytics on itself. What nobody has is a systematic read on competitors — or on what's working in categories that have nothing to do with theirs. Cobia builds the comparison that doesn't exist anywhere else.

Tone categories
14+
Purpose categories
11+
Human taggers required
0.
Classification consistency
AI-driven

For years, brands have had powerful tools to hear what consumers say about them. The conversation brands were having with the world — that stayed unmeasured.
The opportunity

A better way to think about your social content.

Most analytics tools look outward — at what people say about brands. Cobia looks at the source: the content brands produce, the voice they use, and the patterns that separate high-performing posts from forgettable ones.

What the market does

Consumer sentiment monitoring

Track mentions, measure positive/negative sentiment, monitor share of voice. Useful for reputation management. Silent on content strategy.

What benchmarking tools do

Engagement rate comparison

Compare your follower growth and post reach against competitors. Tells you how much engagement — not what kind of content earns it.

The gap nobody fills

Content character analysis

No existing tool systematically classifies brand posts by tone, purpose, and structure — then ties that classification to measurable outcomes. Until Cobia.

Where Cobia sits in the landscape

Listening tools
Brandwatch, Meltwater, Brand24. Consumer mentions and sentiment at scale.
Cobia
Brand Content Intelligence
Tone + purpose classification of brand-generated posts, correlated with engagement across brands and categories.
Publishing dashboards
Sprout Social, Hootsuite. Scheduling, audience growth, basic reporting.
Benchmarking tools
Rival IQ, Emplifi. Cross-brand engagement rates by volume and format — not content type.
← Consumer focus Brand focus →
The framework

Two dimensions that reveal what your content actually communicates.

Every brand post carries a tone and a purpose. Measuring both — and linking them to engagement outcomes — reveals patterns no engagement rate alone can show.

Tone How it's said

Humorous Sarcastic Declarative Personal Friendly Exciting / Fun Inspiring Authoritative Calm Celebrating Congratulatory Serious Apologetic Honest

Tone captures the emotional register of each post — not just positive or negative, but the specific voice a brand uses and how it varies across post types, timing, and platform.

Purpose Why it was posted

Entertain Delight Branding Promotional Introduce Educate Inform Engage Poll / Survey Philanthropy Celebrate

Purpose distinguishes why a brand posted — a product launch reads differently from a values statement or a holiday post, even when engagement numbers look similar.

A real example

Real brands, classified by hand — across categories.

We picked a category, classified a representative sample of recent posts against Cobia's taxonomy, and did the same thing again in a completely unrelated category. This is real, unedited output. Pick a category, then any two dimensions to cross them against each other.

Based on the ~30 most recent posts gathered from each brand's active channels, as of early July 2026. Cells with fewer than 3 posts are hidden as unreliable. "Overall" rows/columns pool across the other axis. Tone and purpose were classified against Cobia's taxonomy; format, borrowed equity, CTA, link, and hashtag fields were extracted directly from each post.


Why it's different

Three things no existing tool does.

01

Content-first, not chatter-first

Cobia analyzes what brands post — not what consumers say about them. A different data source, and a fundamentally more actionable strategic question.

02

Tone and purpose at scale

Not just positive/negative/neutral. A 14-tone, 11-purpose taxonomy applied consistently across every post, every brand, every category — powered by AI.

03

Cross-brand, cross-category

Compare content strategy not just against one competitor but across the full landscape of your category — and adjacent ones. Context changes everything.

The process

From raw posts to strategic intelligence.

01

Collect

Brand-generated posts harvested across Instagram, TikTok, X, Facebook, and LinkedIn — with engagement metrics captured at time of collection.

02

Classify

Each post tagged with primary and secondary tone and purpose labels, plus structural indicators — CTA, question, hashtag campaign, UGC feature.

03

Analyze

Engagement outcomes correlated with content characteristics across brands and time — revealing what actually drives performance in your category.

04

Act

Specific guidance: which tone-purpose combinations work, when, on which platform — actionable enough to brief a content team the next morning.

Competitive landscape

How Cobia compares to existing tools.

Capability Brandwatch / Meltwater Sprout / Hootsuite Rival IQ / Emplifi Cobia
Consumer sentiment monitoring ✓ Core feature ✓ Core feature ◐ Limited — Not the focus
Engagement metrics (likes, shares, comments)
Cross-brand benchmarking ◐ Share of voice ◐ Basic ✓ Engagement rates ✓ By content type
Brand-generated post analysis ◐ Volume only ◐ Format only ◐ Format + timing ✓ Deep classification
Tone classification (beyond pos/neg/neutral) ✓ 14-category taxonomy
Purpose / intent classification ✓ 11-category taxonomy
Engagement outcome by content category ✓ Core output
Cross-category comparison (QSR vs. casual dining) ◐ Same category only
Actionable content strategy guidance ◐ General trends ◐ Timing / format ◐ Timing / format ✓ Tone + purpose + timing
Common questions

FAQ.

What does Cobia actually do?
Cobia analyzes the content brands themselves produce on social media — classifying each post by tone and purpose, then correlating those characteristics with engagement outcomes to reveal what actually drives performance.
How is Cobia different from social listening tools?
Most tools analyze what consumers say about a brand. Cobia analyzes the source: the content the brand itself creates — its voice, tone, and purpose — and ties that directly to engagement results.
Who is Cobia for?
Cobia is built for brand marketing teams and the agencies that support them — anyone responsible for deciding what a brand posts and wanting evidence-based guidance on what's working.
Has this actually been done before?
Yes — see the sample analysis above. We ran Cobia's methodology on five wireless carriers as a proof of concept: one category, roughly 350 posts, classified by hand. It already surfaced patterns none of those five brands could see in their own analytics. A live subscription would cover your full category continuously, not just a one-time sample.
Is Cobia available now?
Cobia is in early access. We're onboarding a small number of brands for a two-month content audit ahead of a public launch.
Will Cobia be a paid product?
Yes. Cobia will launch as a subscription product. Early access participants help shape the product ahead of general availability.
Why Cobia?

The cobia is one of the ocean's most intensely curious fish.

It follows larger animals for miles — observing their behavior, reading their patterns, learning what they do and why. That same quality of patient, systematic observation is exactly what great brand content intelligence requires. Cobia watches brands the way the fish watches the world: closely, consistently, and with an eye for what others miss.

Let's talk

Let's talk about your brand and your category.

Tell us who you are and we'll set up time to walk through what Cobia would look for in your category — no pitch deck, just your brand and your real competitors.