LinkedIn Ads

LinkedIn Ads helps advertisers turn every marketing dollar into business growth by making ad set performance easier to understand and act on. Understand what’s working. Build confidence. Make smarter marketing decisions—right where you already plan and analyze. Connect your LinkedIn Ads account with ChatGPT to get started. This app is currently in beta and supports a limited set of LinkedIn Ads functionality. It provides read‑only access to ad set performance to help you understand results. Supported features and use cases may evolve as we expand tool coverage. In this beta, you can: - View and search ad accounts and ad sets you have access to - Ask natural-language questions about ad set and ad performance - Break down metrics by date range, ad set, or ad Ask questions like: - "Show me all my active ad sets from account X" - “How did my ad sets from account X perform last week?” - “Which ads have the highest CTR in ad set Y?”

View in the ChatGPT registry

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Sales & CRM
Primary Subcategory: Recruitment & Hiring
Secondary Subcategories: Ad Campaign Analytics & Reporting B2B Prospecting & Contact Data
Brand: LinkedIn
Access: Account required
First tracked: 2026-05-06
Tool count: 9
Geography: US

ChatGPT Plugin Discoverability Score

ChatGPT organic discovery is not live yet

LinkedIn Ads is tracked in the ChatGPT Plugin registry. Public organic-discovery measurement is not live for ChatGPT yet, so there is no score to publish today.

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Primary Subcategory

Competing in ChatGPT Recruitment & Hiring

View Category

Listed in alphabetical order

Primary Subcategory

IndeedOrganic discovery is pendingGet the score at launch

LinkedInOrganic discovery is pendingGet the score at launch

LinkedIn AdsOrganic discovery is pendingGet the score at launch

Score explained

How the Discoverability Score works

Organic discovery scoring for LinkedIn Ads on ChatGPT is not live yet. The score will use measured agent conversations when it launches.

InvisibleBuriedEmergingCompetitiveWinning

Organic discovery scoring is pending. Your Plugin score will appear on this scale when measurement goes live.

FoundDiagnostic

Whether Claude found your Plugin in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Plugin appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Plugin appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodology Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.

Tools

9 tools agents can invoke

Retrieves and displays the user's LinkedIn Ad Accounts for selection. Use this tool whenever the user asks about their ad accounts, wants to see their accounts, or needs to choose an account. This tool fetches its own data directly — no input parameters required. Only use find_linkedin_ad_accounts when you already know which account the user wants (by name or ID) and need to match it before chaining to another tool.
browse_linkedin_ad_accounts
Retrieves and displays ad sets for a LinkedIn Ad Account as a multi-select widget with summary metrics (spend, clicks, impressions, budget) per ad set. Use this tool when the user wants to see, list, or browse ad sets, view ad set metrics or stats, change the time range for ad set analytics data, or select ad sets to compare — the widget lets the user select up to 5 ad sets for comparison. Do NOT use this tool when the user wants to view ads — use select_linkedin_ad_set instead. Only use show_linkedin_ad_set_performance when the user explicitly asks for a detailed time-series performance chart for specific ad sets. This tool fetches its own data directly — pass accountId and optional days. Only use find_linkedin_ad_sets when you already know which ad set the user wants (by name or ID) and need to match it before chaining to another tool. Requires an account ID. If missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
browse_linkedin_ad_sets
Retrieves and displays ads for a LinkedIn ad set as a visual widget with summary metrics (spend, clicks, impressions) per ad. Use this tool whenever the user asks to see, list, or browse ads for an ad set, view ad metrics or stats, or change the time range for ad analytics data. This tool fetches its own data directly — pass accountId, adSetId, and optional days. Only use find_linkedin_ads when you already know which ad the user wants (by name or ID) and need to match it before chaining to another tool. Only use show_linkedin_ad_performance when the user explicitly asks for a detailed time-series performance chart for specific ads. Requires an account ID and an ad set ID. If ad set ID is missing, call select_linkedin_ad_set to let the user browse and select an ad set. If account ID is missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
browse_linkedin_ads
Finds a LinkedIn Ad Account by name or ID (data only, no UI). Use this tool only when the user already specified which account they want (by name or ID). If the user did NOT specify an account, call browse_linkedin_ad_accounts instead to let them browse and select visually.
find_linkedin_ad_accounts
Retrieves ad sets for a LinkedIn Ad Account with performance metrics (data only, no UI). Use this tool only when the user already specified which ad set they want (by name or ID) and you need to match it before chaining to another tool. If the user did NOT specify an ad set, call browse_linkedin_ad_sets (to compare ad set performance) or select_linkedin_ad_set (to pick one ad set for viewing ads) instead. Requires an account ID. If missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
find_linkedin_ad_sets
Retrieves ads for a LinkedIn ad set with performance metrics (data only, no UI). Use this tool only when the user already specified which ad they want (by name or ID) and you need to match it before chaining to another tool. If the user did NOT specify an ad, call browse_linkedin_ads instead to let them browse and select visually. Requires an account ID and an ad set ID. If ad set ID is missing, call select_linkedin_ad_set to let the user browse and select an ad set. If account ID is missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
find_linkedin_ads
Retrieves and displays ad sets for a LinkedIn Ad Account as a single-select widget with summary metrics (spend, clicks, impressions, budget) per ad set. Use this tool when the user wants to pick one ad set to view or analyze its ads, view ad set metrics or stats, or change the time range for ad set analytics data — the widget lets the user select a single ad set with radio buttons. Do NOT use this tool when the user wants to compare multiple ad sets — use browse_linkedin_ad_sets instead. This tool fetches its own data directly — pass accountId and optional days. Only use find_linkedin_ad_sets when you already know which ad set the user wants (by name or ID) and need to match it before chaining to another tool. Requires an account ID. If missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
select_linkedin_ad_set
Shows a detailed time-series performance chart for specific LinkedIn ads. Displays trends of impressions, clicks, CPM, CPC, CTR, and spend over time. Only use this tool when the user explicitly asks for a performance chart, trend analysis, or time-series breakdown for specific ads. Do NOT use this tool when the user asks to list, browse, or view summary metrics for ads — use browse_linkedin_ads instead. Supports two modes: (1) Single ad when one adId is provided, (2) Multi-ad comparison when multiple adIds are provided (max 5). Requires an account ID, an ad set ID, and at least one ad ID. If ad IDs are missing, call browse_linkedin_ads to let the user browse and select ads. If ad set ID is missing, call select_linkedin_ad_set to let the user browse and select an ad set. If account ID is missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
show_linkedin_ad_performance
Shows a detailed time-series performance chart for LinkedIn ad sets. Displays trends of impressions, clicks, CPM, CPC, CTR, and spend over time. Only use this tool when the user explicitly asks for a performance chart, trend analysis, or time-series breakdown for specific ad sets. Do NOT use this tool when the user asks to list, browse, or view summary metrics for ad sets — use browse_linkedin_ad_sets instead. Supports two modes: (1) Single ad set when one adSetId is provided, (2) Multi-ad set comparison when multiple adSetIds are provided (max 5). Requires an account ID and at least one ad set ID. If ad set IDs are missing, call browse_linkedin_ad_sets to let the user browse and select ad sets. If account ID is missing, call browse_linkedin_ad_accounts to let the user select one. Do not auto-select an account. When the user specifies a fixed period (e.g., 'December 2025', 'Q4 2025'), pass startDate and endDate. For 'last N days' queries, use the days parameter. If the `days` parameter was used in a previous tool call in this conversation, reuse the same `days` value here unless the user specifies a different time range.
show_linkedin_ad_set_performance

LinkedIn Ads FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are LinkedIn Ads alternatives on ChatGPT?

As of 2026-08-14, LinkedIn Ads competes with Indeed, LinkedIn in ChatGPT Recruitment & Hiring, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.