Honeyb API. AI visibility API.

    The AI visibility API. Eight engines, one JSON.

    How often ChatGPT, Google AI Mode, Google AI Overviews, Gemini, Claude, Perplexity, Grok and DeepSeek recommend a brand when buyers ask, where it lands in the answer, and what would move it. Priced per answer, evidence attached.

    See all API lines

    8

    AI engines, each response tagged with its source engine

    $0.08

    per answer on every engine, held at submission, settled to what arrived

    10 min

    from key to first results: request access, key by email, one POST, no sales call

    What it returns

    Visibility as a number a client can act on.

    Recommend rate is the share of answers in a task in which the brand was named as a recommendation, not merely mentioned. Each answer carries the engine, the prompt, the position, the competitors named and the sentiment, so the rate, share of voice and sentiment mix are one GROUP BY away. Because AI engines answer differently run to run, run the same task on a schedule and the answer count is in every payload.

    • Per engine, per prompt. Filter by any of the eight engines, by prompt group or by a single prompt. Every row is tagged with where it came from.
    • Repeated runs. Single checks are noise on this surface. Run the same task daily or weekly and compute the rate over the answers; the count is in the results.
    • Bring your own prompts. Submit a prompt set and a brand as a task and get the same enriched answers back, billed per answer.
    POST /api/platform/v1/tasks { "brand": { "name": "Acme", "url": "acme.com" }, "engines": ["chatgpt", "gemini", "perplexity"], "prompts": [...] }
    {
    "task_id": "tsk_01j9...",
    "engine": "chatgpt",
    "prompt": "best project management tool for agencies",
    "brand_mentioned": true,
    "brand_recommended": true,
    "position": 2,
    "competitors_named": ["Asana", "Monday"],
    "sentiment": { "label": "positive", "confidence": 0.91 },
    "citations": [{ "domain": "g2.com", "type": "review_platform" }]
    }

    Endpoints

    Five endpoints from the answer to the action.

    Read the aggregates, or submit your own prompts as a task and get every enriched answer back.

    POST/api/platform/v1/tasks

    Submit a brand, up to 300 prompts and the engines to ask. The price is held at submission and settled to the answers that arrived.

    GET/api/platform/v1/tasks/{id}

    Task status per engine: queued, running, completed or failed, with the settled cost.

    GET/api/platform/v1/tasks/{id}/results

    Every answer, enriched: brand and competitor mentions, first-mention position, sentiment with confidence, and the answer text.

    GET/api/platform/v1/tasks/{id}/citations

    Every page the engines cited, with domain, page type and position in the answer.

    GET/api/platform/v1/tasks

    Your tasks, newest first, with status and spend, for reconciliation.

    Build with it

    Where an AI visibility API goes.

    Inside a marketing platform

    Serve AI visibility to your users as a native feature without building an eight-engine sampling pipeline and paying for the models yourself.

    Inside agency reporting

    White-label the numbers: where the client stands per engine, why, and what is being done next. The reason field comes off the endpoint.

    Inside alerts

    Recommend rate dropped, a competitor took the top slot, sentiment turned cautious. Route it to Slack or a ticket the day it happens.

    Inside research

    Run a category prompt set across engines weekly and track who wins the answer. The same task API, pointed at a market instead of a brand.

    Why it holds up

    Built for a surface where the same question gets different answers.

    Per answer, not per snapshot

    Every answer is a record with its engine, prompt and sentiment confidence, so an integration can show how sure the number is, not just the number.

    Grounded engines included

    ChatGPT with search, Gemini grounded, Perplexity, AI Mode and AI Overviews are captured as the buyer sees them, with the sources they used.

    Evidence with every number

    Aggregates link to the answers, prompts and cited sources behind them. Nothing in the payload is an unexplained index.

    Pricing

    Pay per answer. Nothing else.

    One credit unit is one enriched answer: one prompt on one engine. Grounded engines are $0.08 per answer and ungrounded engines $0.04. Credits are of prepaid credits, do not expire on a monthly cycle, and there is no subscription to hold. Aggregate reads on an existing workspace are included.

    Platform pricing

    FAQ

    Frequently asked questions.

    Free to start

    Get recommended by AI search models.

    Run a free AI search visibility check, then let the Honeyb agent do the work that gets you into the answers.

    ChatGPTClaudeGeminiPerplexity