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AI Search Visibility Auditor

Example prompt: "Test how our brand appears when people search for 'workflow automation tools' on Google and Perplexity. Generate a report with our visibility score and send it to me."

How to automate AI search visibility auditing with GloriaMundo

The Problem

Traditional SEO tools track your Google rankings, but they cannot tell you how your brand shows up when someone asks an AI search engine a question. With tools like Perplexity, ChatGPT search, and Google's AI Overviews reshaping how people discover products, there is a growing blind spot in most marketing teams' visibility data. Checking manually means running dozens of queries across multiple platforms, reading through AI-generated answers, and trying to note where (and whether) your brand is mentioned. It is slow, inconsistent, and nearly impossible to track over time without a structured process.

How GloriaMundo Solves It

We build a workflow that runs a set of industry-relevant search queries across web search engines, captures the results, and uses an LLM to analyse where and how your brand appears. A web search step runs each query and collects the results. An LLM step reads through the responses and scores your brand's visibility: whether you are mentioned, how prominently, whether competitors appear instead, and what context surrounds each mention. A code step calculates aggregate visibility scores and formats the data for a spreadsheet. The results are logged to a Google Sheet for trend tracking and emailed to you as a formatted report. Glass Box preview shows you the full analysis before the email is sent.

Example Workflow Steps

  1. Trigger (scheduled or manual): Runs on a set cadence (weekly or monthly) or on demand.
  2. Step 1 (web_search): Run each target query (e.g., "best workflow automation tools", "AI automation platform") across search engines and collect results.
  3. Step 2 (llm): Analyse search results for brand mentions, competitor mentions, positioning context, and sentiment.
  4. Step 3 (code): Calculate visibility scores per query — mention rate, average position, competitor share of voice — and format the data into a summary table.
  5. Step 4 (integration): Append the scored results to a Google Sheet for historical trend tracking.
  6. Step 5 (llm): Generate a narrative report summarising visibility trends, competitive gaps, and recommended actions.
  7. Step 6 (integration): Email the formatted report via Gmail.

Integrations Used

  • Google Sheets — stores visibility scores over time for trend analysis and reporting
  • Gmail — delivers the formatted visibility report to the team

Who This Is For

Marketing leads and SEO specialists at B2B companies who want to understand how their brand appears in AI-powered search experiences, not just traditional blue-link results. Especially relevant for teams in competitive categories where AI search is increasingly how buyers discover tools.

Time & Cost Saved

Manually running 10-20 queries across multiple search platforms and documenting the results takes 3-4 hours per session. This workflow completes the same analysis in minutes and produces a consistent, comparable report each time. Run monthly, it saves roughly 3-4 hours per cycle and provides trend data that manual spot-checks cannot match.