AI brand intelligence
Know exactly how AI talks about your brand.
See where AI mentions you, where it recommends someone else, and what the evidence says to do.
How ChatGPT answers appearYour workspace previewPrompt
“The question your buyers ask”
When buyers ask about your category, your brand1 is named alongside the other options the assistant lists2, and the answer keeps the sources3 it used.
- 1Brand mentionTracked in every answer
- 2Comparison setWho is named beside you
- 3Sources citedLinks kept with the answer
Linked analysis
Weekly · Sample dataVisibility
42%
+6 pts
Mention rate
58%
+9 pts
Citation rate
31%
+4 pts
Rank among peers
#2 of 6
up from #4
- 1Northwind Outfitters49%
- 2Brandwater42%
- 3Harbor & Pine35%
Every gap links to the answer that shows it.
Inspect the evidence
Built to observe the AI surfaces customers already use
Gemini
Google AI Overviews
Google AI Mode
ChatGPT
Perplexity
ClaudeNext
CopilotNext
Launch platforms: Gemini, Google AI Overview, Google AI Mode, ChatGPT and Perplexity. Claude and Copilot come next. Logos are trademarks of their respective owners.
Your next customer may not start with a search result.
People increasingly research products and compare options inside AI answers. Rankings and click-throughs don't tell you how your brand appears there.
Traditional search
Results you can rank in.
Links, click-throughs, positions.
AI discovery
Answers you need to inspect.
Mentions, recommendations, citations.
What are the best options for what I need?
Several established options come up for this, and the answer depends on what the buyer already uses. Your brand is not part of this answer yet.
Where most brands start: named nowhere, cited nowhere.
Your audit shows the real answers observed for your brand.
Measure what AI says. Understand why. Know what to do next.
Performance, Intelligence, and Agent share one evidence layer, so a number always leads to a reason, and a reason to an action.
Performance: What is happening?
Know where your brand stands.
Visibility, recommendations, citations, and competitor movement across the AI engines we observe.
- Mention and recommendation rate
- Share of Voice
- Citation coverage
Intelligence: Why is it happening?
Find the gap behind the number.
Trace a drop back to a missing mention, an overlooked attribute, or a source a competitor owns.
- Omission detection
- Co-mention analysis
- Source gaps
Agent: What should we do next?
Turn the gap into a clear plan.
A prioritized, evidence-linked recommendation with a defined measurement, governed by approvals and policies, and checked afterwards by re-running the prompts it targeted.
- Prioritized opportunities
- Governed approvals and policies
- Verification re-runs
- Observe
- Measure
- Diagnose
- Prioritize
- Act
- Verify
- Learn
The loop runs again with every audit
Inside the AI answer
Your brand is only part of the answer.
One answer, four evidence layers: what was said, how you appear, who is named beside you, and where it came from.
What the model actually said
When buyers ask about your category, your brand can be named as an option beside the others the assistant lists.
Visible source links preserved when available
Observation · Sample data
- Mention
- Detected per answer
- Position
- Where you are listed
- Competitors named
- 3 of 5 answers
- Sources visible
- 4 of 5 answers
Six ways Intelligence explains the number.
Start with mentions and sources, then go deeper. Intelligence adds these analyses as your workspace grows.
Omission Intelligence
Confirmed attributes that AI answers never mention.
- PricingNamed in 9 of 15
- IntegrationsNamed in 5 of 15
- SecurityNamed in 3 of 15
- SupportNamed in 7 of 15
- Sample data
Co-Mention Intelligence
Which brands get named beside you, and how often.
Source and Citation
Which domains AI cites, and which only competitors own.
- YYour own domain22%
- RReview and comparison sites41%
- NNews and industry sites19%
- Sample data
Semantic Positioning
The concepts and categories AI ties to your brand.
These fill with the concepts AI ties to your brand, sized by strength.
Risk and Factuality
Outdated or unsupported claims AI keeps repeating.
Repeated claim
“A price, plan or feature an answer repeats about your brand.”
Regional and Model Variance
The same prompt can recommend different brands across markets, languages, and providers. See exactly where you disappear.
Each cell fills with how strongly a platform mentions you in that market.
Know what is missing, and what to do about it.
Every opportunity connects a problem to evidence, a recommended action, and the measure that tells you whether it worked.
Lifecycle every opportunity moves through
- Detected
- Investigating
- Recommended
- Approval
- Executing
- Verifying
- Completed
- Monitoring
How an opportunity reads
A gap, its evidence, the fix and the measure.
Evidence
Observed across a defined set of relevant prompts.
Recommended action
Clarify the feature on the relevant product page.
Verification
Re-run the observation set and compare.
Approval required. Nothing runs without your confirmation.
Trust and methodology
Every insight should lead back to evidence.
Five rules keep the connection between an observed answer and a recommendation honest.
Observable evidence
The answer and its visible source trail stay inspectable.
Defined denominators
Mention rate comes from eligible observations only.
Status on every fact
Confirmed, discovered, or conflicting, always labeled.
Measured vs interpreted
AI explanations stay legible as interpretations.
No hidden access
We observe the answers you would, never model internals.
Follow one answer to its evidence
How it worksEvery audit keeps the full answer, with your brand highlighted where it appears and each source link preserved beside it.
Prompt
The buyer question you track, grouped by topic and intent
Source evidence
Every visible link is preserved from the answer
Diagnosis
How and where your brand is positioned in that answer
Recommended action
The page or source to improve first
One evidence layer for everyone who shapes how you're found.
Marketing, content, SEO, and agencies work from the same observed answers.
Marketing
Find the narratives and topics shaping demand.
Content
Turn omissions and source gaps into focused briefs.
SEO and growth
Connect AI discovery signals to measurable work.
Agencies
Run visibility programs across multiple brands.
One workspace, every brand kept separate.
An organization can hold multiple brands. Each keeps its own website, Brand Intelligence, and evidence, so nothing mixes across clients.
Scoped per brand. Topics, prompts, and observations never cross client lines.
One organization login. Permissions are managed per person, not per brand.
Client brand A / Performance overview
Visibility
46%
Mention rate
61%
Sources
128
Each brand keeps its own topics, prompts, and evidence. Select another brand to switch.
See what an AI visibility audit can uncover.
A clear summary of visibility, competitor context, missing attributes, source opportunities, and next steps.
- 1
Add your website
Brandwater crawls your domain and drafts your Brand Intelligence.
- 2
Confirm your prompts
Review the topics and questions customers would ask AI about you.
- 3
See your first audit
Visibility, mentions, competitors, and gaps land in Performance.
Google Search Console and GA4 are optional. Your first audit never waits on them.
What your report covers
AI visibility audit
Visibility
42%
across your platforms
Source gaps
7
to investigate
Next actions
12
recommended
- Missing product attributeNeeds review
- Competitor-exclusive sourceReady
- Recommendation context gapReady
Questions before you bring Brandwater into the workflow.
Straight answers for teams evaluating AI visibility as a serious operating surface.
What is AI visibility?
AI visibility is the observable presence and positioning of a brand in AI-generated answers, recommendations, comparisons, and cited sources for relevant prompts.
Which AI platforms does Brandwater monitor?
At launch, Brandwater observes ChatGPT, Gemini and Perplexity through their provider APIs. Claude and Copilot are coming next, and Google AI surfaces follow as separate surfaces, and DeepSeek is not on the current roadmap.
How does Brandwater measure brand mentions?
It evaluates observed answers against your configured prompts, topics, and Brand Intelligence, preserving the answer and evidence behind every measurement.
Can Brandwater show which sources AI uses?
When an answer exposes sources, Brandwater preserves those observable URLs and domains for source and citation analysis.
Does Brandwater automatically change my website?
No. The Agent recommends: it shows the gap, the evidence and a plan, and you or your team make the change. Approvals, policies and guardrails govern that decision, and verification re-runs the affected prompts afterwards, but nothing is ever applied to your site automatically.
How is this different from traditional SEO tools?
It focuses on how AI describes, recommends, compares and cites a brand, and connects those observations to diagnosis, governed recommended action and a verification re-run afterwards.
Find out what AI says about your brand.
Start with a first audit. We show where you appear, who is named instead, and what to fix first.
Approval-based. Nothing changes on your site without your confirmation.
What your first audit covers
Visibility
How often Gemini, Google AI Overview, Google AI Mode, ChatGPT and Perplexity mention you.
Competitors
Who gets named beside you, or instead of you.
Gaps
The attributes and sources AI leaves out.
Next actions
Prioritized, evidence-linked recommendations.