QueryArc
    AuditOptimizationMonitoringPricing
    Check my AI visibility

    How QueryArc works: one loop, three stages

    Audit — we find the gap: where AI recommends a competitor instead of you.

    Optimization — we tilt the answers your way: you ship the plan, or we do.

    Monitoring — we keep you winning: re-run on schedule, catch drift, act early.

    Then Monitoring surfaces the next gap — and the loop repeats. Every answer you win back is a buyer who now finds you first.

    Every metric comes from a fixed, rule-based system.

    Every result is traceable to raw outputs.

    No hype. No ranking guarantees. Just controlled measurement and execution.

    5 AI assistants3 runs per promptRule-based scoringTraceable to raw outputsStored run recipe
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    Free — no credit card · Results in under 60 seconds

    Stage 1Audit
    Stage 2Optimization
    Stage 3Monitoring
    Loop↻ repeat
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    In simple terms

    When someone asks ChatGPT or Gemini:

    "Best [your category] tools"

    "Alternatives to [competitor]"

    "How do I choose a [category] platform?"

    The engine generates an answer. That answer either:

    • Mentions you
    • Recommends you
    • Ranks you
    • Selects a competitor
    • Or ignores you completely

    Most companies never measure this. QueryArc does.

    1

    We run a structured prompt pack

    Fixed, versioned questions designed around real buyer intent. Prevents question drift.

    Prompt pack v1 · 10 prompts · 3 types
    2

    We run each prompt 3 times per engine

    AI responses vary between runs. Multi-run testing reveals stable patterns.

    Runs per question per model: 3.00
    3

    Every answer is scored using fixed rules

    No human adjusts the numbers. All metrics come directly from the scored dataset.

    Rule engine · 4 detection types · 0 manual adjustments
    4

    You see exactly where and how you appear

    Executive snapshot, model-level, and question-level breakdowns. Nothing hidden.

    3 analysis levels · per-question detail · competitor comparison
    5

    What we measure and why it matters

    Six core metrics, each with a distinct signal. Being mentioned ≠ being recommended.

    6 metrics · tooltip definitions · clear distinctions
    6

    Every result is backed by real outputs

    Complete traceability from summary metrics back to original model responses.

    Full audit trail · Appendix A (raw) · Appendix B (scored)
    7

    We explain why this is happening

    The report shows what happened. We explain why. This is where dashboards stop.

    Human diagnosis layer · root-cause analysis
    8

    You receive a clear execution plan

    Exact pages to create, suggested titles, copy direction, and priority order.

    Blueprint · page plans · copy direction · priority order

    The rerun: we prove what changed

    Every audit stores its run configuration:

    prompt_pack: v1

    models: [ChatGPT, Claude, Gemini, Grok, Perplexity]

    runs_per_prompt: 3

    timestamp: 2025-01-15T09:30:00Z

    Rerun receipt

    Before: 0%After: 0%

    Reruns use the same stored recipe for comparable measurement.

    No ranking guarantees. Results can vary.

    What this is not

    • No permanent placement promises
    • No privileged access to AI engines
    • No manual scoring manipulation
    • No response adjustments

    We measure and influence outcomes through better structure, clearer positioning, and stronger signals.

    Why this matters for SaaS companies

    If a buyer asks:

    "What's the best CRM for startups?"

    And your product is not surfaced,

    You are invisible in that decision moment.

    This is a new layer of discoverability. Ignoring it means missing an emerging acquisition channel.

    Frequently misunderstood points

    No. This measures how AI models generate recommendations and comparisons.

    Yes. That's why we run multiple times and store the run recipe for comparable reruns.

    No. Single runs can produce unreliable conclusions. Multi-run testing reveals stable patterns.

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    Free — no credit card · Results in under 60 seconds

    The full process

    Measure
    Diagnose
    Ship
    Rerun

    That's it. No hype. No guarantees. No manipulation.

    Just structured measurement and execution.

    Check my AI visibility
    View sample report →

    The loop

    • Audit
    • Optimization
    • Monitoring
    • Pricing

    How it works

    • The full cycle
    • Methodology
    • Sprint
    • Who It's For
    • Security

    Company

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    • Terms

    Learn

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    Check my AI visibility

    Free — no credit card · No login required

    Check my AI visibility

    Free — no credit card · Results in under 60 seconds

    QueryArc

    AI Visibility Audits for ChatGPT, Claude, Gemini & AI Search

    Private reports · No ranking guarantees · Stored run recipe included