Post analysis is available only for Reputation+ and Engage+ clients.
What is AI post analysis?
Categorizing a user’s reaction (like “This is misleading” or “Take my money”) is just half the equation. To understand why someone reacted a certain way, you need context about the post that triggered it. That’s where post analysis comes in.
BrandBastion’s AI-powered post analysis provides that missing context by examining the original content itself—whether it’s an image, carousel, or video. We use:
OCR (Optical Character Recognition) to extract visible text from images.
Audio transcription to capture what’s said in videos.
Natural-language description and intent detection to summarize what the content is about and what it’s trying to convey.
This closes the loop between content creation and audience reaction, helping your team pinpoint which creatives are sparking praise, confusion, or backlash—so you can double down on what works and avoid repeating missteps.
Why it matters
Most social content today is visual-first. Without understanding what’s in the actual post, your moderation, replies, and reporting can miss key context.
Post Analysis turns images and videos into structured, actionable data — helping us improve performance, protect your brand, and unlock smarter strategies.
Without post-level context, interpreting social reactions is guesswork. Post analysis turns interpretation into actionable insight—fueling better decisions across content, marketing, and customer care teams.
How it works: Example breakdown
When viewing a post inside the BrandBastion platform, here’s how post analysis is presented:
OCR/Audio transcription: Automatically extracts text from images using Optical Character Recognition (OCR) and captures spoken words from audio.
Description: A generated summary describing the visual elements of the image
or video, including objects, people, and context.Intent: An AI-powered interpretation of the image's likely purpose or
message, based on visual cues and context.
Together, these layers reveal what the audience actually saw—not just what they said. It connects creative decisions to real outcomes.
Where can you find post analysis?
You can view post-level analysis by navigating to:
Click on any post > View Post
A modal will open with detailed insights including OCR, visual description, and inferred intent.
Use cases
🔹 Smarter, more contextual moderation
Post Analysis adds essential context by helping us understand what the post is visually about, not just what the comments say.
As you know, some campaigns are more sensitive or high-stakes (e.g., Pride Month, social impact, or political themes). In these cases, even vague comments (e.g. one-word/emoji comments like “❌”) might need to be hidden — but only if the post is part of a sensitive campaign.
With Post Analysis, we can automatically recognize when a post includes, for example, Pride-related visuals, and apply stricter moderation rules only to those posts. That means better protection without over-moderating unrelated content.
🔹 Autotagging posts
Use Post Analysis to trigger post tags based on visual content:
Tag posts that display product usage, influencer content, or events keywords in the descriptions
🔧 How to set it up
Go to Workflows > New Workflow
Select Post Tag as your workflow type
Add logic like:
Tag if the image description includes the word “SALE”
Tag if intent includes the word = “promote”
These tags can feed into reports, content audits, and alerting systems.
🔹 Context-aware replies
If you're using AI-generated replies on BrandBastion, Post Analysis improves their relevance.
Example: “I love this!” triggers a different response depending on whether the post is a product demo or a values-driven message.
🔹 Filter and benchmark content more effectively
In the Posts tab, you can filter and compare post performance based on:
Description (e.g., find all posts mentioning a specific product)
Intent (e.g., compare engagement on “tutorial” vs. “promotion”)
AI Tags (e.g., see how “unboxing” content performs vs. “event”)
This helps marketing, social, and content teams align creative and community results.
