Answers

GET /v1/ai-visibility/:appId/answers/:answerId

Returns the raw response from one AI assistant for one prompt, plus the parsed list of apps the assistant mentioned. This is the “show me the receipts” endpoint — useful for:

Verifying why a particular intent has the visibility / sentiment score it does.
Debugging an unexpected mention (e.g. why the assistant suggested an unrelated competitor).
Embedding a “view source answer” link in your dashboard so users can see the actual model output.

answerId is exposed by the intent drill-down endpoint inside the prompts[].latestAnswers[] array.

Path parameters

Name	Type	Required	Description
appId	string	Yes	Apple App ID (numeric) — must match the answer’s owner app for security
answerId	string (UUID)	Yes	Returned by GET /intents/:intentId

Response

{
  "data": {
    "answer": {
      "id": "a789...",
      "promptId": "p123...",
      "intentId": "9c1f...",
      "modelSlug": "perplexity",
      "modelId": "sonar",
      "rawText": "If you have trouble winding down at night, here are five apps to consider:\n1. Calm — guided sleep stories and meditations [1].\n2. Headspace — sleepcasts that ease you into rest [2].\n3. Sleepwell — focuses on adaptive bedtime routines.\n4. Insight Timer — large free library of sleep sounds [3].\n5. Pillow — works with Apple Watch for gentle wake-ups.",
      "citations": [
        { "url": "https://www.calm.com/sleep", "title": "Sleep — Calm" },
        { "url": "https://www.headspace.com/sleep", "title": "Sleep with Headspace" },
        { "url": "https://insighttimer.com/", "title": "Insight Timer" }
      ],
      "fetchedAt": "2026-05-12T08:14:02.000Z",
      "status": "ok"
    },
    "mentions": [
      {
        "name": "Calm",
        "position": 1,
        "trackId": "571800810",
        "isOwnerApp": false,
        "sentiment": 0.8
      },
      {
        "name": "Headspace",
        "position": 2,
        "trackId": "493145008",
        "isOwnerApp": false,
        "sentiment": 0.6
      },
      {
        "name": "Sleepwell",
        "position": 3,
        "trackId": "1234567890",
        "isOwnerApp": true,
        "sentiment": 0.4
      },
      {
        "name": "Insight Timer",
        "position": 4,
        "trackId": "337472899",
        "isOwnerApp": false,
        "sentiment": 0.5
      },
      {
        "name": "Pillow",
        "position": 5,
        "trackId": "878988933",
        "isOwnerApp": false,
        "sentiment": 0.3
      }
    ]
  }
}

`answer` fields

Field	Description
`id`	UUID. Same as the `answerId` you requested.
`promptId`	The prompt this answer was for. Use GET /intents/:intentId to find the prompt text.
`intentId`	The intent the prompt belongs to.
`modelSlug`	One of `chatgpt`, `claude`, `gemini`, `perplexity`.
`modelId`	Exact model ID used (e.g. `gpt-4.1`, `claude-sonnet-4-20250514`, `gemini-2.5-flash`, `sonar`).
`rawText`	The assistant’s complete answer. Whitespace-preserved. May contain markdown.
`citations`	Web sources the assistant cited, when the model supports them. Currently only Perplexity returns citations; other models return `[]`.
`fetchedAt`	When Appeeky fetched the answer (UTC).
`status`	`ok` (parsed cleanly), `parse_failed` (we kept the raw text but couldn’t extract structured mentions), `refusal` (assistant declined to answer), `error` (the model call itself failed; `rawText` will be empty).

`mentions` fields

One row per app the assistant referred to in the answer, ordered by position.

Field	Description
`name`	App name as the assistant wrote it.
`position`	1-based rank when the assistant gave a list. `null` for free-form prose.
`trackId`	Canonical App Store ID. `null` when the resolver couldn’t confidently match the assistant’s spelling.
`isOwnerApp`	`true` when this mention is your tracked app.
`sentiment`	−1 (negative) to +1 (positive), reflecting the assistant’s framing in the surrounding sentence. `null` when the answer was a neutral list with no per-app commentary.

Citation handling

For models with web search (currently Perplexity), the assistant often inserts inline citation markers like [1], [2], [3] — those numbers map 1-indexed into the answer.citations array. If you want to match a mention back to a citation: when we extract mentions, the second-pass parser also returns a citationIndex on each app. That value is stored in the underlying ai_visibility_app_mentions table; it isn’t currently exposed on this endpoint, but you can match the [N] markers in rawText to answer.citations[N-1] yourself for now.

Code examples

curl "https://api.appeeky.com/v1/ai-visibility/1234567890/answers/a789..." \
  -H "X-API-Key: YOUR_API_KEY"

const res = await fetch(
  "https://api.appeeky.com/v1/ai-visibility/1234567890/answers/a789...",
  { headers: { "X-API-Key": "YOUR_API_KEY" } }
);
const { answer, mentions } = (await res.json()).data;

console.log(`[${answer.modelSlug}] ${answer.fetchedAt}`);
console.log("\nRaw answer:\n" + answer.rawText);
console.log("\nApps mentioned:");
mentions.forEach((m) => {
  const star = m.isOwnerApp ? " ★" : "";
  console.log(`  ${m.position ?? "·"}. ${m.name}${star}  sentiment=${m.sentiment ?? "n/a"}`);
});

import requests

r = requests.get(
  "https://api.appeeky.com/v1/ai-visibility/1234567890/answers/a789...",
  headers={"X-API-Key": "YOUR_API_KEY"},
)
data = r.json()["data"]
print(data["answer"]["rawText"])
print()
for m in data["mentions"]:
    star = " ★" if m["isOwnerApp"] else ""
    print(f"  {m['position']}. {m['name']}{star}  sentiment={m['sentiment']}")

Pattern: walk every answer for an intent

const HEADERS = { "X-API-Key": "YOUR_API_KEY" };

// 1. Get the intent drill-down
const intent = (
  await fetch(
    "https://api.appeeky.com/v1/ai-visibility/1234567890/intents/9c1f...?model=chatgpt",
    { headers: HEADERS }
  ).then((r) => r.json())
).data;

// 2. For each prompt's latest answer, fetch the raw text
for (const prompt of intent.prompts) {
  for (const a of prompt.latestAnswers) {
    const detail = await fetch(
      `https://api.appeeky.com/v1/ai-visibility/1234567890/answers/${a.answerId}`,
      { headers: HEADERS }
    ).then((r) => r.json());

    console.log(`\n## Prompt: ${prompt.text}`);
    console.log(`### Model: ${detail.data.answer.modelSlug}`);
    console.log(detail.data.answer.rawText);
  }
}

Credits

1 credit per call.

Errors

Status	Code	When
404	NOT_FOUND	Answer doesn’t exist or doesn’t belong to this app
401	—	Missing or invalid API key / JWT
429	—	Insufficient monthly credits

Getting Started

Apps

My Data - Appeeky Web

Keywords

ASO Tools

AI Visibility

Search & Discovery

Market Intelligence

RevenueCat

App Store Connect

Google Play Console

Apple Search Ads

Growth Channels

Reference

Path parameters

Response

`answer` fields

`mentions` fields

Citation handling

Code examples

Pattern: walk every answer for an intent

Credits

Errors

See also

​Path parameters

​Response

​answer fields

​mentions fields

​Citation handling

​Code examples

​Pattern: walk every answer for an intent

​Credits

​Errors

​See also

Path parameters

Response

`answer` fields

`mentions` fields

Citation handling

Code examples

Pattern: walk every answer for an intent

Credits

Errors

See also