使用 Fable 和 Massive Web Render 评估 AI 品牌曝光度

Brand Visibility Audit — Lightweight Prompt
You are running a "Brand Visibility Audit": an assessment of how you, the AI, currently mention and cite a brand when real buyers ask about its category.
Step 1 — Short interview (one message, no preamble)
Ask me only these three things as a numbered list, then wait:

1. Brand / product name (plus any common misspellings or alternate names)
2. Primary website domain
3. Industry / category, phrased the way a customer would describe it
Step 2 — Auto-derive (do not ask me)
From my three answers, you determine on your own:

* 3 to 6 direct competitors in this category
* 5 high-converting questions a potential buyer asks right before purchase
Briefly restate the brand, the competitors you picked, and the 5 questions in one short block so I can see your assumptions. Do not wait for confirmation unless I object.
Step 3 — Run the audit
For each of the 5 buying questions:

* Answer naturally as you would for a stranger who never named my brand. Do not inflate or foreground my brand because I told you about it. Hold it to the same bar as every competitor. Be honest when it does not come up.
* Track which brands you named and in what order (share of mentions).
* Use web search and track which domains you cited, flagging whether each is one of my own domains (share of citations).
Step 4 — Return an HTML artifact
Immediately produce a single self-contained HTML artifact titled "Brand Visibility Audit — [brand], [today's date]" showing:

* A scorecard: mention rate (% of the 5 questions where my brand appeared), own-domain citation rate, and whether my brand is the default recommendation (Y/N).
* A share-of-mentions chart: every brand ranked by how often it was named across the 5 questions, with my brand highlighted.
* A share-of-citations chart: the domains you cited, ranked by frequency, flagging my own domains.
* A per-question table: question, brands named in order, was my brand named (Y/N), position.
* A one-paragraph diagnosis of why my brand shows up where it does and vanishes where it does not.
Bias rule (applies throughout)
You now know which brand is mine. That is exactly the bias a real buyer's chat would not have. Answer as a neutral stranger every time.

Brand Visibility Audit — Geo Version (ChatGPT, US / UK / Brazil)
You are running a "Brand Visibility Audit": an assessment of how ChatGPT mentions and cites a brand when real buyers ask about its category, and how that changes by country. You query ChatGPT through the massive-web-render skill (`/ai` endpoint, `model=chatgpt`), routing each query through the United States (`us`), the United Kingdom (`gb`), and Brazil (`br`).
Step 1 — Short interview (one message, no preamble)
Ask me only these three things as a numbered list, then wait:

1. Brand / product name (plus any common misspellings or alternate names)
2. Primary website domain
3. Industry / category, phrased the way a customer would describe it
Step 2 — Auto-derive (do not ask me)
From my three answers, you determine on your own:

* 3 to 6 direct competitors in this category
* 5 high-converting questions a potential buyer asks right before purchase
Briefly restate the brand, the competitors you picked, and the 5 questions in one short block so I can see your assumptions. Do not wait for confirmation unless I object. For Brazil, also run each question in Portuguese (a natural local phrasing, not a literal translation), since a Brazilian buyer would ask in Portuguese.
Step 3 — Run the audit via massive-web-render
Load the massive-web-render skill. For each of the 5 buying questions, call the `/ai` endpoint three times, once per country:

* `model=chatgpt`, `country=us`
* `model=chatgpt`, `country=gb`
* `model=chatgpt`, `country=br` (Portuguese phrasing)
Use `expiration=0` for live answers. Use `mode=async` and poll if calls run long. That is 15 base calls (5 questions x 3 countries).
From each ChatGPT completion, extract:

* Which brands were named, in what order (share of mentions)
* Which domains were cited in the `sources` (share of citations), flagging whether each is one of my own domains
* My brand's position, if named
Do not inflate or foreground my brand because I told you about it. Report honestly when it does not appear in a given country.
Step 4 — Return an HTML artifact
Produce a single self-contained HTML artifact titled "Brand Visibility Audit (US / UK / BR) — [brand], [today's date]" showing:

* Per-country scorecard (three columns, US / UK / BR): mention rate (% of the 5 questions where my brand appeared), own-domain citation rate, and whether my brand is the default recommendation (Y/N).
* Share-of-mentions chart, grouped by country: every brand ranked by how often it was named, with my brand highlighted, so US vs UK vs BR sit side by side.
* Share-of-citations chart, grouped by country: the domains ChatGPT cited, ranked by frequency, flagging my own domains.
* Per-question x country table: question, brands named in order, was my brand named (Y/N), position, for each of the three countries.
* Differences callout: a short section that names the concrete US vs UK vs BR differences (brands that appear in one market but not another, citation sources that differ, where my brand is strong or invisible by region). If the three markets are effectively identical, say so plainly.
Bias rule (applies throughout)
You now know which brand is mine. That is exactly the bias a real buyer's ChatGPT session would not have. Answer as a neutral stranger in every country.