Ask up to 25 prompts of AI answer engines and count how often each tracked domain — the brand's plus its competitors' — is cited as a source. Returns per-domain cite counts and share-of-voice percentages; the run is saved as an audit (read it per prompt with get_audit, free).
Billing: 5–12¢ per engine check plus the fix-it playbook — each answered prompt × engine is one check: Perplexity 5¢, ChatGPT 7¢, Google AI Overviews 9¢, Gemini 12¢ (33¢ per prompt on the four default engines), Google AI Mode 10¢ when requested. After the checks AuditAE writes a fix-it playbook for each answered check that didn't cite the brand, billed on LLM usage (about 12¢ each), plus about 45¢ for the audit rollup. E.g. 10 prompts on the default engines: 330¢ of checks, plus about 525¢ of playbook if no answer cites the brand. charged_cents in the response is what the run billed.
Limits: the engines get about 4 minutes; checks that don't finish are skipped, unbilled (partial, timed_out) — split runs past ~15 prompts. A balance that runs out mid-run sets partial and out_of_credits.
Inputs:
brand, domain — as in check_brand_citation.
competitor_domains — up to 20 domains to count, e.g. the site's competitor_domains from list_sites.
prompts — 1–25 buyer questions.
engines — optional subset of [chatgpt, perplexity, gemini, ai-overviews, ai-mode]. Defaults to the first four; ai-mode is opt-in.
Returns { audit_id, report_url, tracked: [{domain, is_brand, cite_count, share_pct}], total_cites, completed, total, partial, timed_out, out_of_credits, charged_cents, charged_breakdown_cents: {checks, playbook} }. cite_count counts answered checks citing the domain. report_url is a shareable public report — give it to the user. Past ~45 s (most runs over 3 prompts) it returns { audit_id, status: "running", next_step } and finishes in the background; read it with get_audit (free).
Example: { brand: "Linear", domain: "linear.app", competitor_domains: ["asana.com", "notion.so"], prompts: ["best pm tool for startups", "linear vs asana"] }
