AI Answer Visibility Audit: Test Current Magicdoor Models

Last updated: October 7, 2026.

A visibility audit asks whether an AI answer cites or mentions your brand for a relevant question. It is not a single score. Keep current Magicdoor picker models separate from competitor tools: Perplexity's own products may be tested externally, but Magicdoor's old Perplexity Reasoning and Deep Research (pplx) chat picker entries are retired.

A repeatable small-sample audit

1. Write 5–10 buyer questions (category, problem, comparison) before opening a model. Avoid editing prompts to chase a better mention.
2. Ask each same question in two or three current Magicdoor models, for example GPT-6.1 Sol, Claude Sonnet 5.5 and Claude Haiku 5.5. Note whether search was used. The latter supports search in the current registry.
3. Record the date, prompt, model, exact brand mention, cited URLs and whether each original source really backs the claim. Compare non-search responses separately from search-backed ones.
4. If you also want to audit Perplexity as a competitor, open its own service separately. Do not count that as a Magicdoor model or assume its rates apply inside Magicdoor.
5. Review inaccurate and missing mentions, then improve only the underlying public facts you can substantiate. Repeat with the same questions later.

Model outputs change; one run cannot establish market share, a general ranking, or a guaranteed result. Check model costs before running a large batch. For search-driven research, read the current workflow.

Start an audit on Magicdoor

FAQ

Which current Magicdoor models can I compare?

Compare prompts across GPT-6.1 Sol, Claude Sonnet 5.5, Claude Haiku 5.5 and other models actually shown in the picker. Old Perplexity Reasoning and Deep Research picker entries are retired.

Is a search-backed answer the same as a non-search answer?

No. Search-enabled models may use current web sources, while other answers may reflect model knowledge. Record the model, search state, source URLs, date and actual answer separately.

How should I judge an AI answer visibility audit?

Record accurate mentions, missing mentions and citations for a fixed prompt set. Open cited original pages and repeat later with the same prompts; do not turn small samples into a universal ranking.