AI visibility audit

Rank tracking asks where a page sits. This asks what the assistant says, whether the brand is in the answer, and which sources put it there. The value is in re-running the same panel monthly, so the panel is frozen and saved.

Before you start

• Load the core routergrowth skill (https://www.routergrowth.com/SKILL.md) if it is not loaded. Confirm access with the free balance tool or routergrowth balance.
• Ask for: the brand and domain, the category in the buyer's words, three to five competitors, and the market (country, language).
• Inspect aeo.answer, aeo.mentions, aeo.keywords and seo.serp once and show the prices. Quote the audit: N prompts x 4 assistants, plus the mentions and SERP passes. A 20-prompt panel is around a hundred calls; say what that costs before running.

Steps

1. Build and freeze the panel

15 to 20 buyer questions in four groups, phrased the way a buyer talks to an assistant:

• category ("best tools for X", "how do teams do X")
• comparison ("A vs B", "alternatives to A")
• problem ("how do I fix X", "why does X happen")
• brand-direct ("is Brand good for X", "Brand pricing")

Save the panel to panel.json with a version and a date. Do not change it between runs; add a new version instead.

Optional: aeo.keywords with the panel's key phrases returns AI search volume, which tells you which prompts carry weight.

2. Capture the answers and their sources

routergrowth run -c aeo.answer -i '{"prompt":"best GTM data api for agents","assistant":"chatgpt","location":"United States"}' --max-cost 0.10 --wait 60

Run every prompt across chatgpt, claude, gemini and perplexity. For each answer record: the assistant, the verbatim brand mentions (yours and competitors'), the position of the first mention, and every cited URL. Answers vary between runs; run the panel once for a baseline and note that a single run is a sample.

3. Where the domain already appears

routergrowth run -c aeo.mentions -i '{"domain":"yourdomain.com","platform":"chatgpt","limit":50}' --max-cost 0.10 --wait 60

Lists the prompts where the domain is cited today. The difference between this and the panel is the gap list.

4. The citation graph

Aggregate every cited URL across all answers: domain, count, which prompts. The top of that table is the set of pages that decide the category. Flag the Reddit threads, the comparison pages and the review sites in it: those are the places where a change moves the answer.

5. Pair with the classic SERP

routergrowth run -c seo.serp -i '{"keyword":"best GTM data api","location":"United States","engine":"google"}' --max-cost 0.02 --wait 30

For the category and comparison prompts, see whether the pages the assistants cite are the pages that rank. When they diverge, the assistant is reading something the SERP does not show, usually a community thread.

6. Score

• Share of voice per assistant: the brand's mentions divided by all brand mentions on the panel.
• Per prompt: present (and where), absent, wrong (a false claim about the brand, quoted), fragile (mentioned by one assistant only, or cited from a single source).
• Per competitor: the same, so the user sees who owns which group.

Rules

• Never fabricate an answer or a citation. Every quote is verbatim from a run and carries the run ID.
• One panel run is a sample; say so in the report. Trends need the same panel run monthly.
• This skill measures. It does not post, comment or seed anything. When the gaps point at a Reddit thread, hand it to a human with talking points.

Output

report.md with: the panel and its version, share of voice per assistant, the citation graph (top 20 domains with counts and the prompts they answer), the gap list as absent / wrong / fragile with a next action for each, and the competitor table. Plus answers.json with every raw answer, and the total charged with run IDs. Save both next to panel.json so next month's run diffs against them.