What it is

AI Visibility reporting gives you multiple ways to access, analyze, and share your AI search performance data.

You can:

View live dashboards inside Keyword.com
Share read-only dashboard links
Export raw data to CSV or Google Sheets
Connect directly to Looker Studio
Access data programmatically via API

This flexibility allows you to move from quick insights to fully automated BI reporting.

Why it matters

AI visibility is not just ranking, it’s:

Mentions inside AI-generated answers
Position within conversational responses
Sentiment and tone
Citations and authority signals
Model-specific performance

Because AI search is probabilistic and multi-model, reporting needs to:

Track trends over time
Separate engine performance
Combine visibility + sentiment
Scale into executive and client reporting

Strong reporting turns AI Visibility from an experimental metric into a strategic KPI.

How reporting works in AI Visibility

There are five reporting methods available:

1. In-platform dashboards

The AI Visibility Overview page provides real-time performance dashboards including:

Visibility score
Sentiment score
Mentions
Citations
Detection rate
Average position
Top 3 visibility
Brand comparisons
Topic performance
AI engine performance

All dashboards respond to filters:

AI engine
Topic
Aggregation level
Time range

You can also click Show data table below charts to view underlying data.

Best for:

Weekly monitoring
Internal reviews
Quick performance checks

2. Shared live dashboards

You can generate a read-only public link to any dashboard view.

When sharing, you can:

Select visible tabs
Lock filters (fixed reporting view)
Allow filter adjustments
Set link expiration
Revoke access anytime

Best for:

Executive reporting
Client reporting
Cross-team visibility

Full setup explained in: Sharing AI Visibility dashboards.

3. Raw data exports (CSV & Google Sheets)

You can export filtered AI Visibility data directly from multiple sections of the platform.

Exports are available in: Search Terms tab, Competitors tab, Citations tab & Sentiment tab

All exports respect your active filters (AI engine, topic, time range, aggregation, etc.).

Exporting from Search Terms

The Search Terms tab works slightly differently from other sections.

To export:

Go to Search Terms
Select one or more search terms using the checkboxes
Click Export
Choose:
- CSV
- Google Sheets
Select your date range
Confirm export

When exporting from Search Terms, you can define the exact date range for the data included. This is useful for:

Monthly reporting
Quarterly analysis
Comparing specific campaign windows

Search Terms exports typically include:

Search term
Topic
AI engine
Visibility score
Sentiment score
Mentions
Detection rate
Citations
Position metrics
Run history (depending on selected range)

Exporting from Competitors, Citations, and Sentiment

In the following tabs, export works directly from the page view:

Competitors tab
Citations tab
Sentiment tab

To export:

Apply your filters (engine, topic, date range, etc.)
Click Export
Choose CSV or Google Sheets

These exports include the data currently reflected in your filtered view.

Depending on the section, exported data may include:

From Competitors	From Citations	From Sentiment
Brand names Visibility score per brand Detection rate Mentions Sentiment Position metrics Engine-specific comparisons	Domains cited URLs Associated brands Citation counts Distribution metrics Time-based citation data	Brand sentiment score Positive / Neutral / Negative breakdown Mention counts Sentiment-driving keywords Engine and source type

Performance note for large exports

For large datasets or extended time ranges, CSV generation may take longer to process.

This is especially true when:

Exporting many search terms
Selecting long historical date ranges
Exporting high-volume citation data

If your export is large, allow additional time for the file to generate.

For ongoing automated reporting across large datasets, consider using:

The Looker Studio connector
The AI Visibility API

These methods are more scalable than repeated large CSV exports.

4. Looker Studio connector (live BI reporting)

The AI Visibility Looker Studio connector allows you to connect your data directly to Looker Studio without manual exports.

With the connector, you can:

Build fully automated dashboards
Blend AI Visibility with SEO, paid media, GA, GSC, or CRM data
Create executive-ready reports
Maintain always-updated dashboards

Best for:

Client reporting at scale
Cross-channel dashboards
Enterprise BI setups
Automated reporting workflows

Detailed setup and fields explained in the dedicated Looker Studio article.

5. API access (programmatic reporting)

The AI Visibility API provides direct programmatic access to your data.

With the API, you can:

Pull visibility metrics automatically
Integrate into internal systems
Feed custom dashboards
Trigger alerts or automations
Store data in your own warehouse

Best for:

Data teams
Advanced analytics setups
Custom reporting platforms
Product or alert integrations

The API allows maximum flexibility and control over how your AI Visibility data is consumed.

Full documentation available in the API section.

What data can be reported

Depending on the method, you can access:

Brand-level metrics

Visibility score
Sentiment score
Detection rate
Mentions
Citations
Average position
Top 3 visibility

Trend data

Visibility over time
Sentiment distribution over time
Engine-level performance
Topic-level breakdown

Term-level data

Individual search term performance
Run frequency
Latest vs average metrics
Execution history

How filters affect reporting

All reporting methods (dashboards, exports, connector, API queries) are affected by:

AI engine
Topic
Aggregation
Time range
Inclusion/exclusion of empty brand results

Be deliberate with filters before exporting or sharing.

For example:

Executive report → All engines, last 30 days
Engine comparison → Separate report per AI model
Topic deep dive → Filter to specific topic

What to expect

AI Visibility reporting reflects AI model behavior.

Expect:

Minor fluctuations across runs
Differences between AI engines
Variation between short-term and long-term averages

Focus on:

Directional trends
Sustained improvements
Competitive movement
Visibility + sentiment together

Avoid overreacting to single-run changes.

Choosing the right reporting method

Method	Best for
In-platform dashboards	Quick monitoring
Shared dashboards	Executive & client visibility
CSV / Sheets export	Manual analysis
Looker Studio connector	Automated BI reporting
API	Advanced integrations & automation