SpyderBot Documentation

Sharing

AI Visibility intelligence creates the greatest value when it is shared with the people responsible for making decisions.

Why Sharing Matters

Marketing teams, SEO specialists, product managers, executives, and technical teams often require different perspectives on the same intelligence.

Sharing enables organizations to communicate AI Visibility insights efficiently across teams while ensuring that the appropriate stakeholders receive the information most relevant to their responsibilities.

Rather than keeping intelligence within individual analyses, Sharing helps organizations make AI Visibility part of everyday decision-making.


What Is Sharing?

Sharing is SpyderBot's capability for distributing AI Visibility intelligence across an organization.

It enables reports and analytical findings to be communicated to the appropriate stakeholders for review, collaboration, and decision-making.

Sharing does not change the underlying intelligence.

It expands access to that intelligence.


What Can Be Shared?

Depending on available permissions and workspace configuration, organizations may share:

  • Brand Reports
  • Prompt Reports
  • LLM Tracking Reports

Organizations may also share recurring report updates generated through Scheduling, allowing stakeholders to stay informed as AI Visibility evolves.


Why Collaboration Matters

AI Visibility is rarely owned by a single team.

Different functions often interpret the same intelligence from different perspectives.

For example:

  • Marketing teams may focus on competitive visibility and recommendations.
  • SEO and GEO teams may evaluate optimization opportunities.
  • Product teams may investigate AI Perception of products and features.
  • Leadership teams may monitor long-term strategic trends.
  • Technical teams may review AI interaction and operational findings.

Sharing enables these teams to collaborate around a common source of intelligence while applying their own expertise.


How to Share Intelligence Effectively

When sharing reports, consider the following questions:

Who needs this intelligence?

Share reports with stakeholders who can interpret the findings and take appropriate action.

Different audiences may prioritize different sections of the same report.


What decision should the report support?

Reports should be shared with a clear purpose.

For example:

  • Executive review
  • Competitive analysis
  • Optimization planning
  • Operational monitoring
  • Cross-functional collaboration

Understanding the intended decision helps recipients focus on the most relevant findings.


Is supporting evidence available?

Major findings should be shared together with their supporting evidence.

Evidence promotes transparent discussion and helps teams evaluate conclusions within the appropriate context.


Is historical context important?

Comparing reports over time often provides more meaningful insight than reviewing a single report independently.

When possible, share historical comparisons alongside current analyses.


Best Practices

Share Intelligence, Not Just Reports

Encourage discussion around the findings, supporting evidence, and recommended actions rather than distributing reports without context.


Match Reports to Stakeholders

Different report types support different business functions.

  • Brand Reports often support strategic discussions.
  • Prompt Reports often support investigation and optimization.
  • LLM Tracking Reports often support operational review.

Deliver the right intelligence to the right audience.


Encourage Cross-Functional Collaboration

AI Visibility often spans marketing, engineering, content, product, and leadership teams.

Sharing reports across functions promotes a more coordinated approach to AI optimization.


Maintain a Common Understanding

Use reports as a shared reference point during planning, review meetings, and optimization initiatives.

Consistent interpretation improves organizational alignment over time.


Relationship to Scheduling

Scheduling automates report generation.

Sharing distributes those reports to the appropriate stakeholders.

Together they support continuous organizational awareness of AI Visibility.


Relationship to Export

Sharing focuses on collaboration within the SpyderBot workflow.

Export enables organizations to move intelligence into other systems, documents, and business processes.

Sharing and Export therefore serve complementary roles.


Related Reports

Sharing supports all report types:

Every report may be shared according to organizational workflows and permissions.


Related Concepts

To better understand Sharing:


Next Report Capability

Continue with:

Export

Export explains how organizations transform AI Visibility intelligence into portable formats for presentations, documentation, external collaboration, and integration with broader business workflows.