AI Scraper Solutions

Turn AI answers into evidence your team can use

Collect answers from supported AI engines for visibility research, brand monitoring and source analysis, with a repeatable prompt-to-result workflow.

Explore the API
AI SCRAPERILLUSTRATIVE WORKFLOW
Workflow preview
AI Scraper workflowsVersioned prompt panel
Prompt-linked answer evidence

Collect the answer text, then review brand context and available citations against the original question.

AI answer collectionYour workflowSource context

Illustrative example · No live collection is running

  • Ask consistently

    Build a versioned prompt panel around questions your audience asks.

  • Retain the answer

    Keep response evidence behind each mention or comparison.

  • Inspect the sources

    Analyze citation references where the selected engine provides them.

A solution for every AI Scraper team

Start with the work your team needs to complete, then define the collection or execution layer.

Choose the workflow your team needs

Collect answers from supported AI engines for visibility research, brand monitoring and source analysis, with a repeatable prompt-to-result workflow.

AI Search Visibility & GEO

Collect answers for a defined prompt set and compare brand mentions and available citations across supported AI engines over time.

Brand Monitoring in AI Answers

Capture answers to brand and category prompts, then review the wording, claims and available source references that users may encounter.

AI Answer Competitive Intelligence

Collect matched prompt responses and analyze which competitors appear, how they are described and which sources support the comparison.

AI Citation Tracking

Collect available citation references and connect them to prompts, answers and collection times for source-level analysis.

LLM Research & Evaluation

Collect prompt-response samples from supported AI interfaces and preserve the context needed for comparative research and evaluation.

AI-informed Content Strategy

Collect answers to audience questions and review recurring topics, descriptions and cited sources to prioritize useful content work.

AI Reputation Monitoring

Capture brand-related answers and supporting references so communications teams can examine inaccuracies and keep a documented review trail.

Need AI Scraper specifications and pricing?

Review current setup, supported options and account terms before integrating.

Explore AI Scraper

From business question to action

Define a clear contract between the input, the product capability and the usable result.

  1. 01

    Version your prompt panel

    Start with one decision and the sources or tasks that support it.

  2. 02

    Submit supported engine tasks

    Completed answer results from supported AI engines; available response fields and citations vary by engine.

  3. 03

    Collect completed answers

    Prompt design, sampling, entity matching, scoring, trend analysis and review workflows.

  4. 04

    Analyze with source context

    Completed answer coverage, prompt consistency and evidence-backed analytical labels.

Built for dependable AI Scraper workflows

Make collection context and result quality part of the design from the first run.

  • Prompt → task → answer

    Use a task-based workflow

    Submit a prompt to a supported AI engine, then retrieve or receive the completed result. Track task state before accepting an observation.

  • Engine · prompt · time

    Keep engine-specific context

    Choose supported engines and review their current parameters. Preserve available engine and collection context for later comparisons.

  • Answer + available citations

    Collect available references

    Retain citation URLs when present in the result. Availability and structure depend on the engine and response; do not manufacture missing sources.

  • Collect → analyze → review

    Build your analysis layer

    Compute brand visibility, topic labels and evaluation scores in your own pipeline. Keep raw answers accessible for review of every derived label.

Frequently asked questions

Plan the first workflow with clear ownership and measurable acceptance criteria.

Which workflow should we start with?

Choose one of the focused use cases below the team overview. Define its inputs, owner and acceptance criteria, then run a small representative sample.

What does AI Scraper handle?

Completed answer results from supported AI engines; available response fields and citations vary by engine.

What remains in our application?

Prompt design, sampling, entity matching, scoring, trend analysis and review workflows.

How do we plan cost and scale?

Estimate prompt count, selected engines and repeated sampling before choosing a plan. Verify current engine-specific pricing in the account.

Put AI Scraper to work for your team

Bring your sources, expected answer tasks and acceptance criteria. Start with a focused pilot, then expand on evidence.

Try for Free
Explore workflow