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aeo-visibility-tracking

aeo-visibility-tracking

github.com/swan-gtmMarketing & growth22147 installsUpdated 1w ago
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About aeo-visibility-tracking

A skill for measuring a brand’s visibility in AI search across engines, prompts, competitors, and countries. It connects ranking and trend analysis with cited-source and sentiment explanations to guide content priorities.

Key features

  1. 01Baseline brand and competitor visibility
  2. 02Seed buyer-language prompts by topic
  3. 03Compare rankings across engines and countries
  4. 04Explain visibility and sentiment changes
  5. 05Find cited domains and URLs

Use cases

  1. 01Benchmark a brand against competitors
  2. 02Trace which prompts caused a visibility shift
  3. 03Prioritize cited sources for content work

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/swan-gtm/gtm-skills --skill aeo-visibility-tracking

After installing, type/aeo-visibility-trackingin Claude Code to confirm it loaded.

Bundled filesreferences/commands.md

Details

From the project README

Use when AI-search visibility needs measuring: which engines mention the brand, for which buyer questions, citing which sources. Produces a visibility baseline, a trend line, and a ranked list of the sources worth influencing. Exact commands live in references/commands.md.

Set the baseline

  1. define the brand (and competitor brands — ranking against them is the readout that lands) and its topics
  2. seed prompts with the questions buyers actually ask an AI engine — "best X for Y," "X vs Z," "how do I solve W" — in the buyer's words, not the category's marketing language. Batch-create per topic, spread across target engines and countries
  3. read the visibility timeline and brand ranking for the baseline: who gets mentioned, for what, where

Read the results

  • visibility explain shows why a score moved — which prompts and engines drove it
  • citations and sources are the actionable half: which domains, URLs, and domain types the engines actually cite for these prompts. This is the target list — if engines cite three Reddit threads and two comparison posts for the category, that's where content effort goes
  • sentiment explain shows how the brand is characterized when it does appear — visible-but-mispositioned needs different work than invisible

Report per topic: visibility vs competitors, trend, top cited sources, and one concrete content action per gap.

What good looks like

A great AEO readout names the prompts that matter commercially, ranks the brand against named competitors per engine, and ends with a short cited-source hit-list — "these 5 URLs drive the category answers; here's where the brand can plausibly earn a mention." Mediocre tracking reports one aggregate score with no explain and no source mining. What gets overlooked: country and engine splits (visibility in one engine says nothing about another) and prompt drift — refresh seeded prompts as the buyer language evolves.

MUST seed prompts in buyer language, not brand language. NEVER report a score without its explain and its cited sources — an unexplained number invites wrong conclusions.

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