From the sidebar, click Brand Audit under your brand's section.
Click Run Brand Audit. The audit queries all six AI engines and captures each response. This typically takes 30-60 seconds.
Each audit costs a flat 10 credits regardless of how many engines are queried.
Results appear immediately once the audit completes. If you have a previous audit on record, delta indicators appear alongside each engine's results.
Brand Audit results are organized by engine across two tiers.
These engines retrieve live content from the web before responding. Their descriptions reflect your most recent publicly available content, press coverage, and third-party mentions.
Engine | Underlying Model |
|---|---|
ChatGPT | GPT-5 mini with web search |
Perplexity | Sonar with web search |
Gemini | Gemini 3 Flash with web search |
Because web-search engines pull live data, their descriptions tend to be more current. They are also more responsive to new content you publish.
These engines draw on their trained knowledge base without live web retrieval. Their descriptions reflect the information that was available when the model was last trained.
Engine | Underlying Model |
|---|---|
ChatGPT | GPT-5 mini (conversational) |
Claude | Claude Sonnet |
Gemini | Gemini 3 Flash (conversational) |
Knowledge engine descriptions update more slowly, reflecting broader shifts in how the web talks about your brand over time.
Each engine shows its full response to the brand inquiry. Read these carefully - this is exactly what a user sees when asking an AI about your brand.
Look for:
Accuracy: Is the information current? Does it reflect your actual products, positioning, and market?
Completeness: Does the AI know enough about your brand, or is the description sparse?
Framing: Is the description generic, or does it capture what makes your brand distinctive?
Each response is analyzed for overall sentiment:
Sentiment | What It Means |
|---|---|
Positive | The AI describes your brand favorably |
Neutral | The description is factual but lacks positive framing |
Negative | The AI includes negative associations or criticism |
Most brands land at neutral or positive. Negative sentiment often points to outdated information, public incidents the AI has indexed, or a weak content presence that lets third-party narratives dominate.
Accuracy reflects whether the AI's description matches your current reality - correct product names, services, and positioning. Low accuracy typically means the AI is drawing on outdated sources.
When you have a previous audit, each engine shows a delta indicator comparing the new result to the last one.
A green upward arrow means the AI's description of your brand improved - better sentiment, higher accuracy, or a more detailed and favorable response. This usually follows successful content publishing, press coverage, or backlink campaigns.
A red downward arrow means something changed for the worse. This could be a new negative article the AI indexed, a competitor claiming space in your category, or your own content becoming stale.
A dash means no significant change was detected between audits. For established brands with stable perception, this is expected.
The delta compares your most recent completed audit against the one before it. If this is your first audit, no delta is shown - it becomes the baseline for future comparisons.
Each Brand Audit includes recommendations based on what the AI engines said. These are specific, actionable steps to improve how AI describes your brand.
Update your web presence
If AI descriptions are outdated, publish updated content about your current products, positioning, and use cases. Web-search engines (ChatGPT, Perplexity, Gemini) pick up new content faster than knowledge engines.
Improve content depth
If descriptions are sparse or generic, publish more comprehensive content: detailed product pages, case studies, comparison guides, and authoritative blog posts. The more high-quality content AI can draw on, the richer its description of your brand.
Address negative associations
If the audit surfaces negative framing, investigate the source. Look for outdated negative reviews, articles from past incidents, or competitor comparisons that position you unfavorably. Counter these with positive, authoritative content.
Earn citations and press coverage
Web-search engines weigh cited and referenced sources. Getting your brand mentioned in authoritative publications, industry reports, and reputable sites directly improves how AI describes you.
Align messaging across channels
If different engines describe your brand inconsistently, it suggests mixed signals in your content. Consistent, repeated messaging across your website, blog, and third-party mentions helps AI converge on an accurate description.
Situation | Action |
|---|---|
After publishing major new content | Run audit 2-4 weeks later |
After a PR campaign or press coverage | Run audit 1-2 weeks later |
Routine monitoring | Monthly is sufficient for most brands |
After a brand incident | Run immediately, then track recovery |
Each audit is saved in your audit history. Over time, you can see whether your efforts are shifting AI perception in the right direction. Look for:
Consistent positive deltas across multiple audits
Sentiment moving from neutral to positive
Accuracy improving as AI indexes updated content
Descriptions becoming more complete and differentiated
Occasionally a query fails due to rate limits or temporary unavailability. Try re-running the audit. If a specific engine consistently fails, contact support.
AI platforms update their knowledge continuously from the web. A downward delta may reflect new content published about your brand (or your competitors) that you did not control. Review the new description carefully to understand what changed and where the new information came from.
If an AI engine is describing a completely different company or confusing your brand with another, this is a brand disambiguation issue. Publish clear, consistent content that anchors your brand identity - company name, description, and category - on authoritative pages.
Each Brand Audit costs a flat 10 credits. All six engines (3 web-search, 3 knowledge) are included in every audit run. There is no per-engine pricing.
What is Brand Audit? - Overview of how Brand Audit works and why it matters
AI Visibility Dashboard - Track competitive visibility alongside brand perception
Contact us at [email protected] - we're happy to help!
