{"id":7660,"external_id":"plugin_asdk_app_6ac900a965a08191961defc63200cf3f","name":"aircover","display_name":"Aircover.ai","developer":"Aircover","category":"Business & Operations","listing_language":"en","listing_language_details":{"method":"cld-0.13.0/listing-v1","reliable":true,"detected_at":"2026-10-24T12:46:13Z","input_sha256":"0a4278b7c0f7a6ecbd6151a15bb6a88be2955d3246e99cd92bcfab5b84784b38","source_fields":["release.description","release.interface.short_description","release.interface.long_description"]},"version":"1.0.0","skill_count":4,"first_seen_at":"2026-10-24T12:40:23.232Z","last_seen_at":"2026-11-03T18:00:03.291Z","last_changed_at":"2026-10-27T01:01:43.632Z","install_count":null,"search_matches":[],"research_summary":null,"research_reviewed_at":null,"metadata":{"canonical_app_id":"asdk_app_6ac900a965a08191961defc63200cf3f","connector_id":"asdk_app_6ac900a965a08191961defc63200cf3f","created_at":"2026-10-10T00:08:58.786173Z","discoverability":"LISTED","id":"plugin_asdk_app_6ac900a965a08191961defc63200cf3f","is_template":false,"is_template_instance":false,"name":"aircover","release":{"app_ids":["asdk_app_6ac900a965a08191961defc63200cf3f"],"app_manifest":{"apps":{"aircover":{"id":"asdk_app_6ac900a965a08191961defc63200cf3f","required":true}}},"app_templates":[],"description":"Sales productivity for ChatGPT, powered by Aircover deal intelligence and reusable revenue workflows.","display_name":"Aircover.ai","id":"pluginrel_a411e6f9def88191a2c673ef5aa25b05","interface":{"brand_color":null,"capabilities":["Interactive"],"category":"Business & Operations","composer_icon_dark_url":null,"composer_icon_url":"https://files.openai.com/content?id=file_00000000020081f4a65ea021a2855b8a","default_prompt":"Prep me for my next customer call.","default_prompts":["Prep me for my next customer call.","Build a mutual action plan for ACME Corp.","Show me my path to quota this quarter."],"developer_name":"Aircover","logo_url":"https://files.openai.com/content?id=file_00000000bb7481f99c027248f07ea299","logo_url_dark":null,"long_description":"Aircover.ai is a sales productivity plugin that gives revenue teams the context behind every deal: what buyers said, what matters, what changed, what is at risk, and what should happen next.\n\nIt connects ChatGPT to Aircover meetings, transcripts, CRM context, qualification, account plans, research, and AI-generated insights. Instead of reviewing isolated records, sellers and managers can understand the full history behind an opportunity.\n\nUse Aircover.ai to prepare for customer calls, answer questions grounded in buyer conversations, assess pipeline and qualification, build mutual action plans, plan a path to quota, and create product sentiment reports from live Aircover data. Included workflows can produce Word and Excel deliverables for sellers, managers, enablement, and product teams.\n\nRequires an Aircover account. 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Use this whenever someone says \"build a mutual action plan\", \"run the MAP\", \"make a MAP for [company]\", \"close plan\", or \"joint action plan\", or wants a deal turned into the shared roadmap spreadsheet, even if they do not name the template.","interface":{"brand_color":null,"default_prompt":null,"display_name":"aircover-mutual-action-plan","icon_large_url":null,"icon_small_url":null,"iconography":"hierarchy","short_description":"Generate a completed Mutual Action Plan (MAP) spreadsheet for a deal, pulling the account, opportunity, sponsors, target go-live date, and deal progress from the Aircover Production account and filling the team's standard MAP template. Use this whenever someone says \"build a mutual action plan\", \"run the MAP\", \"make a MAP for [company]\", \"close plan\", or \"joint action plan\", or wants a deal turned into the shared roadmap spreadsheet, even if they do not name the template."},"name":"aircover-mutual-action-plan","plugin_release_skill_id":"pluginrsk_6ac92c56509c8191a2c15ddebbdc917a"},{"description":"Build a personalized end-of-quarter pipeline strategy from Aircover meeting data, CRM deal stages, MEDDPICC qualification scoring, and Deal Readiness Scorecard (close mechanics). Prompts for quota and EOQ date, finds all customer meetings in the quarter, prioritizes deals by qualification depth, close readiness, and meeting momentum, and delivers a .docx close plan with embedded charts, per-deal strategies, and next steps. Use this when someone says \"path to quota\", \"how do I hit my number\", \"quarter close plan\", \"pipeline strategy\", \"what deals should I focus on\", or wants a plan to close their open pipeline.","interface":{"brand_color":null,"default_prompt":null,"display_name":"path-to-quota","icon_large_url":null,"icon_small_url":null,"iconography":"chart","short_description":"Build a personalized end-of-quarter pipeline strategy from Aircover meeting data, CRM deal stages, MEDDPICC qualification scoring, and Deal Readiness Scorecard (close mechanics). Prompts for quota and EOQ date, finds all customer meetings in the quarter, prioritizes deals by qualification depth, close readiness, and meeting momentum, and delivers a .docx close plan with embedded charts, per-deal strategies, and next steps. Use this when someone says \"path to quota\", \"how do I hit my number\", \"quarter close plan\", \"pipeline strategy\", \"what deals should I focus on\", or wants a plan to close their open pipeline."},"name":"path-to-quota","plugin_release_skill_id":"pluginrsk_6ac92c5670148191bd1c69e3b9b3f315"},{"description":"Generate a pre-call prep Word document for an upcoming meeting, pulling the last 2-4 transcripts from Aircover Production to build deal context, open action items, stakeholder priorities, landmines, and a suggested agenda. Use this whenever someone says \"prep me for my call\", \"pre-call prep\", \"call prep for [company]\", \"get me ready for [meeting]\", or wants a structured briefing doc before a customer meeting.","interface":{"brand_color":null,"default_prompt":null,"display_name":"pre-call-prep","icon_large_url":null,"icon_small_url":null,"iconography":"pdf","short_description":"Generate a pre-call prep Word document for an upcoming meeting, pulling the last 2-4 transcripts from Aircover Production to build deal context, open action items, stakeholder priorities, landmines, and a suggested agenda. Use this whenever someone says \"prep me for my call\", \"pre-call prep\", \"call prep for [company]\", \"get me ready for [meeting]\", or wants a structured briefing doc before a customer meeting."},"name":"pre-call-prep","plugin_release_skill_id":"pluginrsk_6ac92c5669308191b4fa59a71d6ca2d8"},{"description":"Generate a Customer Product Sentiment report as an Excel workbook from Aircover agent results. 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Trigger when the user says \"product sentiment\", \"sentiment report\", \"VoC report\", \"product feedback report\", \"customer sentiment tracking\", or asks for a summary of product signals across accounts."},"name":"product-sentiment-tracker","plugin_release_skill_id":"pluginrsk_6ac92c569324819199b4343e1ea3b1d7"}],"version":"1.0.0"},"scope":"GLOBAL","status":"ENABLED"},"research":null,"package_metadata":{"name":"aircover","sources":[{"path":"plugin.json","sha256":"ae0bbc840ee6d25d8116627bbd7e9b2a9b3f1758fba166e1762e597f323c6f6e"}],"version":"1.0.0","artifact_id":140082,"observed_at":"2026-11-03T19:19:40Z","support_url":"https://www.aircover.ai/contact-us","capabilities":["Interactive"],"field_sources":{"name":0,"version":0,"support_url":0,"capabilities":0,"release_notes":0,"review_case_counts":0},"release_notes":"Initial public release of Aircover.ai for ChatGPT, including the Aircover MCP connection and four workflows: Path to Quota, Mutual Action Plan, Pre-Call Prep, and Product Sentiment Tracker.","extraction_version":1,"review_case_counts":{"negative":3,"positive":5},"conflicts_or_errors":[]}}