Agentery pricing intelligence · Provider profile · Llmaudit
Provider profile · independently tracked by Agentery
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Llmaudit

↗ llmaudit.app official website

Measure whether AI assistants actually recommend a brand. Ask it about any company and it runs the buyer questions people really ask against OpenAI and Anthrop…

infrastructure
Agentery price verdictNo pricing observed
Billing model—
Last observation—pricing pages rechecked daily
Website liveness10 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Measure whether AI assistants actually recommend a brand. Ask it about any company and it runs the buyer questions people really ask against OpenAI and Anthropic, then reports how many of those questions the brand won and which competitors were named instead. It reports the measured answers, never a providers self report about which brands it believes it would mention. Those two numbers diverge a lot in practice, and the self report is always the optimistic one. Free, no signup and no API key: one measurement per domain every 30 days. Full reports at https://llmaudit.app

MCPOpenAIAnthropicMCPautonomy: infrastructure

Official Llmaudit links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Llmaudit good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Niche—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Llmaudit's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "llmaudit",
  "name": "Llmaudit",
  "url": "https://llmaudit.app",
  "logo": "https://agentery.com/logos/CP-8KXTPX.svg",
  "niche": null,
  "category": null,
  "short_summary": "Measure whether AI assistants actually recommend a brand. Ask it about any company and it runs the buyer questions people really ask against OpenAI and Anthrop…",
  "task_performed": "Measure whether AI assistants actually recommend a brand. Ask it about any company and it runs the buyer questions people really ask against OpenAI and Anthropic, then reports how many of those questions the brand won and which competitors were named instead.\n\nIt reports the measured answers, never a providers self report about which brands it believes it would mention. Those two numbers diverge a lot in practice, and the self report is always the optimistic one.\n\nFree, no signup and no API key: one measurement per domain every 30 days. Full reports at https://llmaudit.app",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP",
    "OpenAI",
    "Anthropic"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "freemium",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Free; Full Report $9 (one-time)",
    "commercial": {
      "currency": "USD",
      "lines": [
        {
          "name": "Free",
          "price": "$0",
          "kind": "free",
          "billed": "monthly"
        },
        {
          "name": "Full Report",
          "price": "USD 9",
          "kind": "one_off",
          "billed": "one_off"
        },
        {
          "name": "Lifetime Pass",
          "price": "USD 29.99 once, forever",
          "kind": "one_off",
          "billed": "one_off"
        }
      ]
    },
    "summary": "Free; Full Report $9 (one-time). LLM Audit offers a permanent free audit, a USD 9 one-time full report for one brand, and a USD 29.99 one-time lifetime pass.",
    "confidence": "high",
    "source_url": "https://askedthrice.com/pricing",
    "checked_at": "2026-10-10T02:02:45.443Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free",
        "price": "$0",
        "period": null,
        "persona": "free",
        "highlights": [
          "AI verdict from ChatGPT and Claude",
          "Buyer questions read from the site",
          "One live measurement",
          "No credit card or signup"
        ],
        "price_annual": null
      },
      {
        "name": "Full Report",
        "price": "USD 9",
        "period": "one-time",
        "persona": "individual",
        "highlights": [
          "One brand",
          "Adds Google Gemini measurement",
          "14-day publishing plan",
          "Page blueprints and evidence"
        ],
        "price_annual": null
      },
      {
        "name": "Lifetime Pass",
        "price": "USD 29.99 once, forever",
        "period": "one-time",
        "persona": "pro",
        "highlights": [
          "Unlimited full reports",
          "Unlimited live re-measurements",
          "No subscription or expiry",
          "Covers every brand measured"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://llmaudit.app"
  ],
  "last_checked": "2026-08-26",
  "how_to_connect": {
    "website": "https://llmaudit.app",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": null
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://askedthrice.com/pricing",
      "last_observed_day": "2026-10-10",
      "age_days": 1,
      "verified_day": "2026-10-10",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "price_applies_to": "price observed on askedthrice.com, not on this listing's site (llmaudit.app) — likely the vendor platform, not this connector",
  "product_group": {
    "group_id": 52,
    "group": "AI visibility monitoring",
    "change_90d_pct": 0.56,
    "fair_price_by_tier_monthly_usd": {
      "individual": 44,
      "pro": 79,
      "team / small business": 249,
      "enterprise": 600
    },
    "note": "Change of the group's price index over the last 90 days. Call get_group_fair_price with group_id for tier and payment-model detail.",
    "page": "https://agentery.com/aepi/groups/52"
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1506,
    "uptime_7d": 0.88,
    "checked_at": "2026-10-10T02:39:48.129Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}