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Mention.ma

Othmane El ouarzazi v1.0.1

Track brand visibility in AI

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Description

From the marketplace listing

Connect your Mention.ma account to analyze your brand's presence in AI-generated answers. Review visibility, share of voice, average position, citations and sentiment, compare AI platforms, and inspect tracked prompts and stored responses. Manage tracked prompts and GEO opportunities, consult multi-platform consensus and shopping results, monitor URLs, and access keyword and domain research. Actions that start research, consensus analyses or active monitoring can consume credits from your existing Mention account.

Language: English · Automatically detected from descriptions.

What changed

Mention.ma

Oct 27, 2026 · 1 saved observations

Metadata · Oct 27, 2026 · 00:59 UTC · Compared with Oct 24, 2026 · 13:44 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 · 13:44 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 3, 2026.

Declared capabilities

  • Analyze brand visibility in AI answers
  • Compare AI platforms and citations
  • Read and manage tracked prompts

Declared limitations

  • Unsupported payment
  • Unsupported brand deletion
  • Access outside the connected account

Review scenarios; not an exhaustive list.

Cost & access

The plugin accesses features of an existing Mention account and does not sell subscriptions, credits or products, initiate checkout, or process payments.

Terms may have changed since this observation.

Starter prompt

List the brands in my Mention account.

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Files & skills

File archives

Plugin package7 files · 7.79 KBBrowse files →
Skill instructions
mention8.93 KB

View saved version →

---
name: mention
description: Use the mention.ma MCP to analyze and manage a brand's visibility across AI platforms. Select the correct Mention tool, resolve brands and record identifiers, combine related reads, and handle state-changing or credit-consuming operations safely.
---

# Mention MCP

Use the Mention MCP as the source of truth for the authenticated user's brands, AI visibility, citations, sentiment, prompts, GEO opportunities, consensus analyses, shopping visibility, URL monitoring, and research.

## Resolve context first

1. Most tools require `brandId`. If a valid `brandId` is not already available from the conversation or a previous tool result, call `mention_list_brands` first.
2. When the user names a brand, match it against the returned brands. If exactly one brand matches, use its ID. If several brands could match, ask the user to choose instead of guessing.
3. Call `mention_get_brand` when the task needs the full brand profile, competitors, aliases, industry, country, language, or configuration.
4. Reuse identifiers returned by tools, such as `promptId`, `opportunityId`, `runId`, `queryId`, and `watchId`. Never invent an identifier.
5. For paginated tools, use `limit` between 1 and 100. Continue with the returned cursor only when more results are needed for the request.

## Choose the tool from the user's intent

### Brands and account

- List available brands or resolve a brand name: `mention_list_brands`.
- Read one brand's profile and settings: `mention_get_brand`.
- Change a brand profile, competitors, aliases, features, country, language, industry, descriptions, account type, or self-improvement settings: `mention_update_brand`.
- Check the plan, subscription status, or remaining feature credits: `mention_get_billing_status`.

### Visibility and AI responses

- Current or period visibility score, share of voice, or average position: `mention_get_visibility_snapshot`.
- Change over time, historical trend, growth, decline, or evolution: `mention_get_visibility_trend`.
- Compare AI platforms for `visibilityScore`, `shareOfVoice`, or `citationShare`: `mention_get_platform_matrix`.
- Citation share, top citing domains, or top citing pages: `mention_get_citation_report`.
- Stored prompt executions, individual AI responses, or the prompts behind visibility results: `mention_list_prompt_executions`.
- Positive, neutral, or negative brand sentiment: `mention_get_sentiment`.

For a general visibility overview, normally combine the snapshot with the platform matrix. Add citations, sentiment, or prompt executions only when the user asks for them or when they are necessary to explain the result.

### Tracked prompts

- List prompts, prompt distribution, enabled prompts, or suggestions: `mention_list_prompts`.
- Create prompts: `mention_create_prompts` with a `prompts` array.
- Edit one prompt: `mention_update_prompt` with `promptId` and all three replacement fields (`text`, `promptType`, `intent`).
- Enable or disable one prompt: `mention_set_prompt_enabled` with `promptId` and `enabled`.

Each created prompt needs text of at least 12 characters, a `promptType` of `organic`, `brandSpecific`, or `competitorComparison`, and an intent of `branded`, `informational`, `navigational`, `commercial`, or `transactional`.

### GEO opportunities

- List opportunities, filter by `new`, `inProgress`, `done`, or `dismissed`, or retrieve one known opportunity: `mention_list_opportunities`.
- Change an opportunity's workflow status: `mention_update_opportunity` with its `opportunityId` and the new status.

If the user asks to update an opportunity but provides no valid ID, list the relevant opportunities first and resolve the intended record.

### Multi-platform consensus

- List earlier consensus runs: `mention_list_consensus_runs`.
- Read one run: `mention_get_consensus_run` with `runId`.
- Start a new run: `mention_start_consensus` with `promptText` and between 2 and 12 supported `platformSlugs`.

Starting a consensus run consumes credits. If the user only asks to see existing results, use the read tool and do not start a new run. A new run can remain pending, so report its status and use `mention_get_consensus_run` later rather than claiming immediate completion.

### Shopping visibility

- List shopping queries: `mention_list_shopping_queries`.
- List available shopping run dates: `mention_list_shopping_run_dates` with `queryId`.
- Read results for a query or run date: `mention_get_shopping_results` with `queryId` and an optional `runDate`.
- Add a shopping query: `mention_add_shopping_query` with `query`.

Adding a shopping query requires available credits. Check `mention_get_billing_status` when credit availability is unknown and the user wants to add one.

### URL monitoring

- List watches: `mention_list_url_watches`.
- Read one watch: `mention_get_url_watch` with `watchId`.
- Read watch runs: `mention_list_url_watch_runs` with `watchId`.
- Read detected changes: `mention_list_url_watch_changes` with `watchId`.
- Create a watch: `mention_create_url_watch` with a valid `url` and a frequency of `24h`, `2d`, `5d`, or `7d`. Creation always starts an active watch.
- Pause, resume, or change a watch: `mention_update_url_watch` with `watchId` and `frequency` or `status` (`active` or `paused`). This does not change the URL.

Active watches follow Mention's normal credit rules. Do not create or activate one when the user only asked to inspect monitoring results.

### Keyword and domain research

- List cached AnswerThePublic research: `mention_list_question_research`.
- Read one cached question research result: `mention_get_question_research` with `answerId`.
- List cached domain overviews: `mention_list_domain_overviews`.
- Read a cached keyword gap: `mention_get_keyword_gap` with the required `competitorDomain` and optional `languageUi` and `countryIsoCode`.
- Request fresh question research: `mention_start_question_research` with `keyword`, `language`, and `location`.
- Run a domain overview: `mention_run_domain_overview` with `domain`; it uses the brand's stored country and language.
- Request a keyword gap: `mention_run_keyword_gap` with `competitorDomain` and optional `languageUi` and `countryIsoCode`.

Fresh research consumes credits. Use the cached read tools when the user asks for existing results, and call a research start/run tool only when the user requests a new analysis.

## Date handling

- Use ISO-formatted dates for `dateStart` and `dateEnd`.
- When the user says “current”, omit dates unless the comparison needs a defined period.
- When the user gives a relative range such as “last 30 days”, convert it to exact dates and state the interpreted range in the answer.
- `mention_get_visibility_trend` requires `dateStart`, `dateEnd`, and a `buckets` array. Build non-overlapping chronological buckets whose `startIso` and `endIso` cover the requested range. Use daily buckets for short ranges and weekly or monthly buckets for longer ranges unless the user requests another granularity.
- Apply `promptIds` only when the user asks to limit analysis to specific tracked prompts.

## Mutation and credit rules

- Read-only questions must not trigger manage, update, add, start, or fresh-research tools.
- If a requested write lacks a required identifier, retrieve the possible records and ask the user to select when the target is ambiguous.
- Before a credit-consuming action, check billing when the available balance is unknown, explain which workflow will consume credits, and obtain any confirmation required by the active environment.
- Never silently enable automation, overwrite profile data, or change workflow status as a side effect of an analysis request.
- After a write, report the record affected, the operation performed, and the returned status. Do not claim success when the tool returns an error or a pending state.

## Response quality

- Name the analyzed brand and exact date range.
- Separate stored Mention data from your own interpretation.
- When comparing platforms, state the metric used rather than mixing visibility score, share of voice, and citation share.
- Summarize the important result first, then support it with the relevant metrics, citations, prompts, or records.
- If the available data is empty or partial, say so and suggest the smallest useful next tool call.
- Do not invoke Mention for unrelated requests such as weather, general creative writing, financial transactions, or topics with no connection to the user's Mention workspace.

## Error handling

- Authentication error: ask the user to connect or reconnect mention.ma; do not request OAuth tokens in chat.
- Ownership or not-found error: refresh brands or list the relevant records instead of retrying an invented ID.
- Insufficient credits: report the limitation and stop; do not repeatedly retry the paid operation.
- Pending workflow: return the run or workflow ID and status, then read it again only when the user asks or when the environment supports an appropriate wait.
- Pagination: continue only until the requested answer is supported, rather than fetching the entire workspace by default.

Referenced files: 1 — file references are metadata, not package contents.

Release notes

Expose each tracked-prompt, consensus, shopping, URL monitoring and research operation as an independent MCP tool with its own input schema. Includes 36 tools, corrected required inputs and accurate external-call and overwrite annotations. Content and persona tools remain excluded. Production OAuth authorization and token challenges are corrected.

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
Othmane El ouarzazi
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.

Declared capabilities

  • Analyze brand visibility in AI answers
  • Compare AI platforms and citations
  • Read and manage tracked prompts
  • Read and update GEO opportunities
  • Read consensus and shopping results
  • Monitor URLs and research keywords and domains

Package observed Nov 3, 2026.

Technical details
First seen
Oct 24, 2026 · 12:40 UTC
Last seen
Nov 3, 2026 · 18:00 UTC
Collection status
Collected

plugin_asdk_app_6ac3a72547c48191a5dbe0e597d494cf

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