BrightworksAI & TECHNOLOGY SOLUTIONSAll Case Studies ↗

Marketing intelligence · Brand visibility

Understanding how brands appear across AI platforms.

A repeatable evaluation workflow that gathers brand visibility results across multiple language models and prepares structured reporting data.

Illustrated overview of the marketing intelligence workflow

01 / THE CHALLENGE

The work that needed to change.

Comparing brand visibility across AI responses requires repeatable prompts and consistent interpretation. Individual manual checks are difficult to organise into a traceable report.

02 / THE SOLUTION

Connecting the right steps.

A brand form supplies the context for a prompt builder. Requests are routed across models, results are parsed and semantically validated, and structured findings are stored for reporting through a dashboard.

  • Parallel evaluations across multiple models
  • Structured response parsing
  • Semantic validation
  • Traceable results for dashboard reporting

03 / THE WORKFLOW

How the system works.

  1. 01Collect brand context
  2. 02Build evaluation prompts
  3. 03Route across AI models
  4. 04Parse the responses
  5. 05Validate result meaning
  6. 06Store & report findings

04 / THE OUTCOMES

What the workflow made possible.

  • Created a repeatable evaluation process.
  • Organised model responses into structured reporting data.
  • Kept a traceable route from evaluation inputs to results.

05 / TECHNOLOGY

Tools behind the workflow.

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YOUR NEXT STEP

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