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MentionedOn

Soxoa LLC v1.1.1

Assess AI discovery readiness

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Description

From the marketplace listing

Use MentionedOn's deterministic tools to score supplied discovery signals, prioritize visibility improvements, and summarize dated scan captures without claiming live inclusion.

Language: English · Automatically detected from descriptions.

What changed

MentionedOn

Oct 27, 2026 · 1 saved observations

Metadata · Oct 27, 2026 · 00:59 UTC · Compared with Oct 24, 2026 · 13:42 UTC

WHAT CHANGED

Package or technical metadata updated

Package or technical metadata updated

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

Open full comparison.

Is v2 template

Before

Oct 24, 2026 · 13:42 UTC

Not present

After

Oct 27, 2026 · 00:59 UTC

false

Metadata: full comparison →

Competitor profile

From the developer’s listing and package; capabilities are not independently tested. Package observed Nov 2, 2026.

Declared capabilities

Assess AI discovery readiness

Declared limitations

  • no-live-fetch
  • no-site-write
  • reject-contradictory-capture

Review scenarios; not an exhaustive list.

Cost & access

Pricing and account requirements have not been established from the available package declarations. Unknown pricing does not mean free access.

Starter prompt

Assess these supplied page signals for AI discovery readiness.

View package source →

Keywords

Files & skills

File archives

Plugin package5 files · 13.2 KBBrowse files →
Skill instructions
ai-discovery-readiness763 Bytes

View saved version →

---
name: ai-discovery-readiness
description: Use when a user wants to assess supplied AI-discovery signals, prioritize visibility gaps, or summarize dated model-capture evidence.
---

# MentionedOn discovery readiness

Use MentionedOn's public MCP tools only for the evidence the user supplies.

- Use `analyze_discovery_readiness` to score supplied page and entity signals.
- Use `build_visibility_action_plan` to prioritize supplied missing or partial findings.
- Use `summarize_scan_evidence` for dated captures and retain all returned limitations.
- Never claim that a tool fetched a site, ran a paid scan, or established current inclusion in a consumer AI product.
- Keep evidence dates and source labels visible, and separate observations from inferences.

Release notes

Portable public distribution package with existing live MCP tools, explicit task descriptions, five positive and three negative review cases. Version 1.1.1 corrects the directory category to match the existing tools; tool behavior and walkthrough are unchanged.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
Soxoa LLC
Keywords
See keywords
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Package observed Nov 2, 2026.

Technical details
First seen
Oct 24, 2026 · 12:40 UTC
Last seen
Nov 3, 2026 · 12:00 UTC
Collection status
Collected

plugin_asdk_app_6abfd5de7dcc8191806cb0d66c184ef6

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