accept_opportunity
ChatGPTAccept pending opportunities for a campaign and add them to the campaign action grid. For v2 campaigns, pass opportunity_ids; acceptance uses the original rationale and every opportunity context. Before calling this tool, summarize the opportunities or opportunity items that will be accepted and get explicit user confirmation.
add_aeo_region
ChatGPTAdd a region (ISO alpha-2 country code) to a Brand Kit's configured AEO regions. Why this tool exists: AEO prompts and prompt-assignments can only reference regions that are configured on the Brand Kit. When create_aeo_prompt or update_aeo_prompt_assignments returns a validation_error mentioning that the country code is "not configured on this brand kit", call this tool to add the missing region first, then retry. Behavior: - Re-adding an already-configured region is a no-op (idempotent) and returns success. - The country code must be a valid ISO 3166-1 alpha-2 code supported by the platform (e.g. US, GB, DE, FR, JP, BR, IN, ...). - Optional add_to_all_prompts (default false): when true, the new region is also assigned to every existing live prompt in the Brand Kit. This may incur additional answer credits/month; if the workspace's estimated answers limit would be exceeded, the call is rejected with a validation_error containing estimated_answers and max_answers in details. Defaults to false so the agent does not silently incur credits. IMPORTANT: Always show the user the region you plan to add (and whether add_to_all_prompts is on) and get explicit confirmation before calling. Adding a region cannot be undone via this tool.
add_grid_column
ChatGPTAdd a new column to a grid table. Use this before write_grid when you need to write to a column that does not exist yet. Can also add a playbook column or workflow column. Workflow columns use data_type app_execution with inputs mapped to grid columns, static values, a Brand Kit, or a Knowledge Base. Each input mapping requires type and value. A column mapping's value must be a column ID from grid_table_id. When it references a playbook column, also provide artifact_name from that playbook's active version as a sibling of type and value. Returns the created column's ID, title, data type, and position. A created playbook column also returns its active-version artifacts; use one of those artifact names when mapping the column into another execution column. For an existing playbook column, get the same metadata from read_grid.
analytics_chart
ChatGPTQuery analytics data and display it as an interactive chart. Returns data with a UI reference for visualization. Today's data is still being processed — always use yesterday (2026-10-13) or earlier as end_date. CONSTRAINTS: (1) Only metrics from the same scale group can be plotted together: percentage metrics (mention_rate, positive_answer_rate, share_of_voice, citation_rate, citation_share, sentiment_score, first_mention_rate), count metrics (citation_count, answer_count), or position metrics (average_position). (2) Area and bar charts support only single metrics with single dimensions. (3) Line charts support up to 2 dimensions (date + optional grouping), but when using 2 dimensions only a single metric is allowed.
automated_feedback_report
ChatGPTAirOps only feedback tool. Issues from other MCP servers should be rejected. Make sure the issue is related to AirOps MCP tools before using this tool. Submit a feedback report when a user query cannot be resolved with existing tools or when errors occur repeatedly. Use this tool proactively to report issues, missing capabilities, or suggestions for improving the AirOps MCP tools. The report will be stored for review by the AirOpsdevelopment team. No output is generated - the tool simply acknowledges receipt.
bulk_update_aeo_prompt_tags
ChatGPTApply a single tag operation (add or remove) to a batch of AEO prompts in one Brand Kit, atomically. Operations: - add — adds the supplied tag_ids to each prompt's existing tags. Duplicates are silently deduped. - remove — removes the supplied tag_ids from each prompt. Tags not currently on a prompt are silently no-oped. Specifying tags: - Pass tag_ids (use list_tags to discover them). - Tags must already exist on the Brand Kit. This tool does NOT create new tags. Atomicity: - The call is fully atomic. If ANY supplied prompt_id is missing/discarded/ cross-brand-kit, or ANY tag_id is unknown on the Brand Kit, the call is refused with a validation_error listing every problem, and no taggings are changed. - On success, all listed prompts receive the operation in a single DB transaction. Limits: - Up to 100 prompt_ids per call. IMPORTANT: Always show the user the prompts and tags you plan to operate on, and get explicit confirmation before calling.
bulk_update_aeo_prompt_topics
ChatGPTReassign a batch of AEO prompts to an existing topic in one Brand Kit. Specifying the destination topic: - Pass topic_id (use list_topics to discover them). - The topic must already exist on the Brand Kit. This tool does NOT create topics. To create a new topic first, use create_topic, then pass its id here. Specifying prompts: - Pass prompt_ids (use list_aeo_prompts filtered by topic_id to find prompts currently under a source topic). - IDs that are missing, discarded, or not in the Brand Kit are skipped; only matching prompts are updated. IMPORTANT: Always show the user the prompts and destination topic you plan to operate on, and get explicit confirmation before calling.
commit_aeo_prompt_assignments
ChatGPTCommit the current prompt-assignment draft for a Brand Kit to live. Replaces all live country, persona, and platform assignments for the brand kit's prompts with the draft data. The workspace's estimated answers limit is enforced. If committing would push the workspace over its quota, the call is rejected with an AnswersLimitExceeded validation error containing estimated_answers and max_answers in details. Recover by calling update_aeo_prompt_assignments to adjust, or discard_aeo_prompt_assignments to abandon. IMPORTANT: - This action affects live data and is not undoable except by manually editing assignments again. Always get explicit user confirmation before calling. - If the human user has unsaved UI edits in the same draft, those will also be committed. Surface this to the user before proceeding. - After a successful commit, a fresh empty draft is automatically re-mirrored from the new live data. You may immediately stage further edits with update_aeo_prompt_assignments. - This tool does NOT return the new live estimated-answers/month. If you or the user need the post-commit estimates, call get_aeo_prompt_assignments_status. Do NOT reuse the pre-commit draft_estimated_answers from update_aeo_prompt_assignments and do NOT compute the estimate yourself — repetition-times, persona/country/platform interactions, and concurrent edits can all shift the result.
create_aeo_persona
ChatGPTCreate a new AEO persona on a Brand Kit. Personas represent the characters used to simulate AI-search queries when measuring AI visibility, citations, and mentions. Behavior: - title must be unique within the Brand Kit (max 200 chars) and description is required (max 5000 chars). - Optional add_to_all_prompts (default false): when true, the new persona is also assigned to every existing live prompt in the Brand Kit. This may incur additional answer credits/month; if the workspace's estimated answers limit would be exceeded, the call is rejected with a validation_error containing estimated_answers and max_answers in details. Defaults to false so the agent does not silently incur credits. Writing guidance: avoid including specific brand names in the persona's title or description — the LLM may then mention the brand in its answer, which the analyzer will count as a mention and skew the data. IMPORTANT: Always show the user the persona you plan to create (title, description, and whether add_to_all_prompts is on) and get explicit confirmation before calling. You can verify the persona was created by calling list_personas sorted by created_at descending.
create_aeo_prompt
ChatGPTCreate a new AEO prompt for a Brand Kit. Prompts are questions that can be asked about a brand to AI search engines, used to track AI visibility and citations. After creation, background jobs automatically analyze the prompt on search engines, extract keywords, and compute volume metrics. You can optionally assign countries, personas, and platforms to the prompt at creation time. The workspace's estimated answers limit is enforced — if the assignments would push the workspace over its quota, creation is rejected. IMPORTANT: Always show the user exactly which fields you plan to use (text, topic_id, and any assignments) and ask for their confirmation before calling this tool. User confirmation is mandatory. You can verify the prompt was created by calling list_aeo_prompts sorted by created_at descending. A topic_id is required. If the user hasn't specified a topic, use the list_topics tool first to discover available topics and either suggest one or ask the user to choose.
create_aeo_tag
ChatGPTCreate a new AEO tag on a Brand Kit. Tags are user-defined labels that can be applied to prompts via bulk_update_aeo_prompt_tags. Behavior: - name must be unique within the Brand Kit (case-insensitive). The model enforces this via a unique index on (brand_kit_id, lower(name)). - color is optional. If omitted, a color is auto-assigned from the platform palette. Valid colors: light_grey, grey, green, teal, blue, purple, lilac, pink, red, coral, orange. - This tool does NOT apply the new tag to any prompts. Use bulk_update_aeo_prompt_tags with operation: 'add' to assign it afterward. IMPORTANT: Always show the user the tag you plan to create (name and color) and get explicit confirmation before calling. You can verify the tag was created by calling list_tags filtered by name.
create_brand_kit_direct_upload
ChatGPTInitiate a direct file upload for use with Brand Kit visual tools. This returns an upload URL (pointing directly to the storage service), upload headers, and a signed_id. The workflow is: 1. Call this tool with the Brand Kit ID and file metadata (filename, content_type, byte_size, checksum). The checksum must be the Base64-encoded MD5 digest of the file contents. 2. Upload the file to the returned upload_url using an HTTP PUT with all the provided upload_headers. No additional authentication is needed — the URL is a time-limited presigned URL. Example: curl -X PUT -H "Content-Type: <type>" -H "Content-MD5: <checksum>" --upload-file <path> "<upload_url>" 3. Pass the returned signed_id to a manage tool (e.g. manage_brand_kit_logo_variant, manage_brand_kit_visual_example, or manage_brand_kit_font). IMPORTANT: Always confirm with the user before initiating an upload.
create_brand_kit_recap_entry
ChatGPTRecord a recap entry summarizing the changes you made to a Brand Kit. Call this once, near the end of a session that mutated the Brand Kit draft — not for every edit. Do not call this tool if you made no Brand Kit draft mutations this session (for example, you only read the Brand Kit, suggested edits the user rejected, or worked on Playbooks, Campaigns, or Insights). Never create a recap that says nothing changed. Put the evidence behind the changes in body_markdown: verbatim quotes, source URLs, and pages. Example: create_brand_kit_recap_entry( brand_kit_id: 123, title: "Refreshed tone & voice and added 2 regions", body_markdown: "Made the tone more concise per the latest brand guidelines (https://acme.com/brand). Added US East and US West to support the Q3 launch." )
create_grid
ChatGPTCreate a new empty, general-purpose grid with the given name. The grid is created with a single empty sheet (zero rows, zero columns). Use add_grid_column to add columns and write_grid to add rows. If the user belongs to more than one workspace, workspace_id is required. Do not use this tool to act on AEO insights — use create_action_grid instead, which pre-populates power step columns and rows for a given AEO action type.
create_grid_sheet
ChatGPTCreate a new sheet (grid table) within an existing grid. The sheet is created with zero rows and zero columns. Use add_grid_column to add columns and write_grid to add rows. A grid can contain at most 10 sheets.
create_opportunity
ChatGPTCreate one pending opportunity for a Campaign. In interactive Quill or OAuth sessions, summarize the proposed name, description, and target resources and get explicit confirmation first. Campaign strategy Playbooks infer their own Campaign. Other Playbooks must provide play_id, inspect existing Opportunities before creating more, and may create pending Opportunities without interactive confirmation when the Campaign write feature is enabled. For page_refresh, page_creation, reddit_thread_creation, and youtube_engagement Campaigns, read the matching Opportunity rationale skill and pass its complete Markdown brief unchanged in description.
create_page
ChatGPTAdd a web page to a Brand Kit's AEO pages. The URL is normalized before the page is created, and the page is associated with the Brand Kit's configured AEO domain. The URL must be unique within the Brand Kit. IMPORTANT: Always show the user the URL and Brand Kit you plan to use and get explicit confirmation before calling this tool. You can verify the page was created by calling list_pages filtered by URL.
create_topic
ChatGPTCreate a new AEO topic on a Brand Kit. Topics are categories used to group AEO prompts. Behavior: - name must be unique within the Brand Kit. - color is optional. If omitted, a color is auto-assigned from the platform palette. Valid colors: light_grey, grey, green, teal, blue, purple, lilac, pink, red, coral, orange. - This tool does NOT create or assign prompts. Use create_aeo_prompt with the returned topic ID to add prompts to the topic. IMPORTANT: Always show the user the topic you plan to create (name and color) and get explicit confirmation before calling. You can verify the topic was created by calling list_topics filtered by name.
delete_aeo_prompt
ChatGPTDelete an AEO prompt from a Brand Kit. Use list_aeo_prompts to find the prompt ID and verify the prompt text before deletion. IMPORTANT: This action is destructive. Always show the user the exact prompt text and get explicit confirmation before calling this tool.
delete_aeo_tag
ChatGPTDelete an AEO tag from a Brand Kit. Behavior: - This is a HARD delete. The tag is removed from the Brand Kit entirely. - All taggings on prompts that referenced this tag are also deleted (cascade via Aeo::Tag has_many :taggings, dependent: :destroy). Every prompt that had this tag will lose it. - The response includes tagged_prompts_count: the number of prompts that lost the tag. Use this to communicate the blast radius back to the user. IMPORTANT: This action is destructive and cannot be undone via this tool. Always show the user the tag name AND tagged_prompts_count (look it up first via list_tags + list_aeo_prompts if needed) and get explicit confirmation before calling.
delete_brand_kit_writing_rules
ChatGPTDelete one or more writing rules from a Brand Kit. This edits the Brand Kit draft version only; it does not change the active (live) version. A failure deleting one rule does not block or roll back the others: the response reports which rules were deleted and which could not be. IMPORTANT: Always show the user exactly which writing rules will be deleted and ask for confirmation before calling this tool.
delete_grid_column
ChatGPTDelete a grid column and any dependent columns (e.g. workflow output columns, playbook artifact columns). Cannot delete while row executions are running for the grid table. Returns the IDs of all columns deleted.
delete_topic
ChatGPTDelete an AEO topic from a Brand Kit. Behavior: - This is a HARD delete. The topic is removed from the Brand Kit entirely. - Deletion is blocked when the topic has associated prompts. Use list_aeo_prompts filtered by topic_id to inspect prompts before deleting. - Candidate questions and question recommendations for the topic are deleted by model associations when the topic is deleted. IMPORTANT: This action is destructive and cannot be undone via this tool. Always show the user the topic name and associated prompt count, then get explicit confirmation before calling.
discard_aeo_prompt_assignments
ChatGPTDiscard the current prompt-assignment draft for a Brand Kit. Throws away ALL uncommitted edits — both your own and any unsaved edits the human user made in the UI — and re-mirrors a fresh empty draft from live. Live assignments are never touched. IMPORTANT: - This action is destructive and unrecoverable. Pending UI edits the user has not committed will be lost. - Always get explicit user confirmation before calling. - Calling discard when no draft exists is a no-op; a fresh empty draft is still created so further update_aeo_prompt_assignments calls work without setup.
find_page_creation_matches
ChatGPTFind possible existing or planned page matches for a bounded batch of Page Creation proposals. Searches the Brand Kit page inventory index using proposal-title tokens and also checks pending and accepted-but-unpublished Page Creation opportunities. Returns ranked candidates and match evidence; it does not classify candidates as duplicate, overlapping, or distinct.
get_aeo_ad
ChatGPTGet one ad observed in ChatGPT or Google AI Mode answers. The 'id' parameter is the observed_creative_id returned by list_aeo_ads. Pass its provider in the providers array.
get_aeo_citation
ChatGPTGet prompts citing a specific URL. The 'id' parameter is the URL to look up.
get_aeo_page_content_update
ChatGPTGet a specific page content update by ID. Its change_detection object carries the detection status and categories, plus a nested changes array (the before/after diff) on this single-update fetch. Track content updates.
get_aeo_prompt_assignments_status
ChatGPTInspect the current prompt-assignment draft state for a Brand Kit without modifying anything. Read-only. This is the authoritative source for workspace estimated-answers numbers (live and draft). Call it whenever you need them — never compute or guess them yourself. In particular: - At the start of a session, to detect a pre-existing draft from unsaved UI edits. - Immediately after commit_aeo_prompt_assignments, to read the new live estimated_answers — the commit tool does not return them. - Before staging more changes via update_aeo_prompt_assignments, to compare against max_answers. Returns: - has_draft: whether a draft session exists for this brand kit. - has_changes: whether the draft has uncommitted edits relative to live (null if no draft). - draft_id: the draft's ID (null if no draft). - live_estimated_answers: current workspace estimated answers/month based on live assignments. - draft_estimated_answers: what the workspace estimated answers/month would be if the draft were committed now (null if no draft). - max_answers: the workspace's effective answers limit. - limit_exceeded: whether committing the draft now would exceed the limit (false if no draft).
get_answer
ChatGPTGet a specific AI answer by ID with full text content. Get a single AI answer with full details. Use this to retrieve the complete answer text (not truncated), citations, and mentions. Use includes parameter to get citations, mentions, and persona details.
get_answer_evaluation_test_run
ChatGPTGet an Answer Evaluation test run and its sample verdicts. Poll the same run until status is completed. Pending and running samples are not results. Keep polling bounded; if it does not complete, report its state and check the same run on the next turn.
get_brand_kit
ChatGPTFetch a Brand Kit's brand identity (writing_tone, writing_persona) and associated entities (product lines, audiences, content types, regions, writing rules, custom variables, visual/design assets). Call AFTER list_brand_kits confirms brand_management_enabled: true. Decision flow 1. Specific entity by ID → includes=["<type>"], filters=[{field: "<type>.id", operator: "EQ", value: <id>}]. 2. Entity by name (product_lines, content_types, audiences, regions, custom_variables, visual_examples) → includes=["<type>"], filters=[{field: "<type>.name", operator: "CONTAINS", value: "<fragment>"}]. 3. Find text content ("rule about tone", "any mention of Red List") → filter by the text field: includes=["writing_rules"], filters=[{field: "writing_rules.text", operator: "CONTAINS", value: "tone"}]. 4. Structural discovery → small includes with fields=["<type>.id","<type>.name"] only. Fields and includes fields selects declared fields, not associations. It never adds includes automatically. Example: includes=["product_lines.competitors"], fields=["product_lines.id","product_lines.name"] returns those product-line fields plus nested competitors. Do not put product_lines.competitors in fields. Deeper field paths such as content_types.writing_rules.id are not supported; nested includes return the child resource's declared fields. Scale (typical kit vs outliers) Most kits are small — these rarely need filtering: - audiences, regions, usage_rules, palettes, content_samples: usually 0-2, rarely >10 - content_types, product_lines: usually 1-3 These have tails you must handle: - writing_rules: usually 3, outliers exceed 200. Never include in full without a filter — filter by text (CONTAINS) or by id. - competitors: usually 10, outliers exceed 250. Include via product_lines.competitors only when needed, and consider a name filter. - custom_variables: outliers exceed 150. Filter by name (CONTAINS) for known variables (e.g. "Red List"), or by value (CONTAINS) for content. - Scoped writing_rules via audience/region/content_type nesting: outliers exceed 200. Filter the parent by id or name first. Writing rules — global vs scoped Writing rules are EITHER global OR scoped to a single audience/content_type/region (never both). For content targeting a specific audience/region/content_type, fetch BOTH: 1. Global: includes=["writing_rules"], fields=["writing_rules.id","writing_rules.text"]. 2. Scoped: includes=["content_types.writing_rules"], fields=["content_types.id","content_types.name"]. Rules appear under each content type. The same pattern applies to audiences and regions. Filter the parent first. content_types.writing_rules does NOT include global writing_rules; selecting writing_rules.id or writing_rules.text still requires the separate writing_rules include. Merge client-side. Anti-patterns - includes=["writing_rules","custom_variables","product_lines.competitors", "content_types.writing_rules"] without filters → blows context on outlier kits. - Calling without fields on a large kit → returns full text (template_outline, rule text, ICP) for every row. - Forgetting filters on writing_rules, custom_variables, or competitors — those are the three biggest tails. Versioning version: "draft" reads pending edits; defaults to "active". Use active for on-brand output unless the user explicitly asks for draft.
get_campaign
ChatGPTGet a campaign by ID, including pending and accepted recommended campaigns, resource configuration, action grid IDs, and its recommendation record with the current hypothesis and brief when present. Campaigns are Plays that coordinate strategy playbooks, action grids, and related opportunities for improving AEO performance.
get_grid_row_execution_status
ChatGPTCheck the status of grid row executions. Returns the overall status and per-column detail for each execution. Use this after run_grid_rows() to poll for completion. Maximum 50 executions per call.
get_insights_settings
ChatGPTGet AEO insights configuration for a Brand Kit, this includes the relevant information to use any AEO and analytics tools. Returns competitors, personas, prompt count, and other relevant information. Use list_brand_kits first to find Brand Kits with aeo_enabled: true.
get_page_details
ChatGPTGet AEO metrics for a specific web page. Page details include citation share, citation rate, unique cited questions count, and Google Search Console metrics (clicks, impressions, position, CTR) with trends.
get_page_prompts
ChatGPTGet prompts citing a specific web page. Returns AI prompts that cite the page along with citation metrics (citation_rate, mention_rate) and trends. Use includes: ["topic"] to get topic details for each prompt.Prompts are the questions that can be asked about a brand or web page. They are the search queries that are used to get AI answers with citations and mentions.
get_playbook_session
ChatGPTGet details and events for a Playbook session. Returns session metadata (status, playbook, last event type) plus a page of content/terminal events (text, reasoning, tool_call, tool_result, artifact, waiting_input, input_received, completed, completed_with_issues, failed, cancelled). Use after_id for cursor-based pagination to read further events. Note: text and reasoning content is capped at 2000 characters (content_truncated: true indicates more exists).
get_prompt_answers
ChatGPTGet AI answers for a specific prompt/question. Prompt answers are the AI answers for a specific question/prompt asked to multiple AI providers and the answers are aggregated. The answers include whether the brand was mentioned and cited in the answer. To get full answer text, citations, and mentions, use the get_answer tool with the answer ID.
get_report
ChatGPTGet a specific report by ID with its module configurations. Reports are saved analytics views for a Brand Kit. They contain modules that display different analytics metrics.
get_sentiment_theme_answers
ChatGPTGet individual AI answers with sentiment details for a specific theme. Returns answer text, sentiment (positive/neutral/negative), confidence score, and provider. Use this to understand WHY a theme has a particular sentiment score. Today's data is still being processed — always use yesterday (2026-10-13) or earlier as end_date.
get_workflow_execution
ChatGPTGet the current status of a workflow execution started by run_workflow. This call checks once; the client can call it again while status is pending or running. review_needed means the execution is waiting for review. The response includes any output already stored, regardless of status. Failed executions also include the error code and message.
knowledge_base_add_file
ChatGPTStep 2 of the two-step file ingestion flow for a Knowledge Base. Consumes a signed_id returned by knowledge_base_create_direct_upload (step 1) plus the file's metadata, and registers the document with the Knowledge Base. Returns immediately with the new document_id in pending status — poll knowledge_base_get_status to monitor indexing. Workflow: 1. Call knowledge_base_create_direct_upload with the file metadata to get back a signed_id and a presigned upload_url. 2. PUT the file bytes to the upload_url with the provided headers. 3. Call this tool with the signed_id, the desired name (used as the document's display name), the document_type MIME (must match the supported types), and an optional metadata hash. The metadata hash, if provided, is a single-level key/value object. It replaces any existing metadata on the document (no merge) and is filterable at search time via search_knowledge_base.
knowledge_base_add_urls
ChatGPTBulk-ingest one or more web pages into a Knowledge Base. Each URL becomes a separate document that fetches and indexes asynchronously. The call returns immediately with the new document IDs in pending state — poll knowledge_base_get_status to check progress. URLs must be absolute and include the http:// or https:// scheme (e.g. https://example.com/page). No documents are created if any URL fails validation. The metadata hash, if provided, is applied identically to every document in the batch (single-level keys only); it replaces (not merges) any existing metadata and is filterable at search time.
knowledge_base_create_direct_upload
ChatGPTInitiate a direct file upload for a Knowledge Base. Returns a presigned S3 upload URL, the required upload headers, and a signed_id you'll use with knowledge_base_add_file to register the document. This is the first call in the two-step file ingestion flow — large files (PDFs, DOCX, MD, HTML, etc.) don't fit through the MCP transport, so the file bytes go directly from your client to S3. Workflow: 1. Call this tool with the file metadata (filename, content_type, byte_size, checksum). The checksum must be the Base64-encoded MD5 digest of the file contents. 2. PUT the raw file bytes to the returned upload_url with all the provided upload_headers. No additional authentication is needed — the URL is a time-limited presigned URL. 3. Pass the returned signed_id to knowledge_base_add_file to register the document. Only after step 3 is the file searchable. Example: > knowledge_base_create_direct_upload(knowledge_base_id: 1, filename: "report.pdf", content_type: "application/pdf", byte_size: 1234567, checksum: "...") → { signed_id: "abc...", upload_url: "https://s3...", upload_headers: { ... } } > knowledge_base_add_file(knowledge_base_id: 1, signed_id: "abc...", name: "Q4 Report", document_type: "application/pdf") → { document_ids: [42], status: "pending" } Maximum file size is 256 MB.
knowledge_base_delete
ChatGPTPermanently delete a Knowledge Base and ALL of its documents. This cascades through every document in the KB and drops the underlying vectors. This action cannot be undone. IMPORTANT: Always warn the user that deletion is permanent and irreversible, name the Knowledge Base being deleted, and ask for explicit confirmation before calling this tool.
knowledge_base_delete_document
ChatGPTPermanently delete a single document from a Knowledge Base. This action cannot be undone. IMPORTANT: Always warn the user that deletion is permanent and ask for explicit confirmation before calling this tool.
knowledge_base_get_document
ChatGPTRead the full reconstructed text content of a Knowledge Base document end-to-end — the loader-extracted text from every chunk concatenated in position order. Use when chunked search results aren't enough: summarizing a whole document, answering questions across an entire report, or reading back a doc before delete-and-recreate. For finding specific passages, prefer search_knowledge_base. Returns up to max_chars characters starting at offset (defaults to 0 and 200000). When the document is larger than the slice, the response includes next_offset (the value to pass on the next call to continue reading); when fully read, next_offset is null. For documents still indexing (status: pending) or in error (status: error), content may be empty — check status first. Content is reconstructed by joining chunks; minor overlap or duplication between adjacent chunks is possible depending on the original loader's chunking strategy. For the original source file, use the existing download path outside MCP.
knowledge_base_get_status
ChatGPTGet the indexing status of a Knowledge Base and its documents. Returns a Knowledge Base–level rollup (status, pending and total document counts) plus a paginated list of per-document statuses. Use this to monitor indexing after writes — only documents with status "ready" are returned by search_knowledge_base. Pass the returned cursor back to fetch the next page; pass document_ids to filter to specific documents.
knowledge_base_manage
ChatGPTCreate or update a Knowledge Base. Omit knowledge_base_id to create a new one; pass it to update an existing one. On create, name is required; pass workspace_id if you have access to more than one workspace. On update, only the fields you pass change.
knowledge_base_update_document_metadata
ChatGPTReplace a document's user-facing metadata in full. Accepts a single-level hash that replaces (not merges) the existing user-facing metadata. To remove a key, pass the full new hash that omits it. To clear all metadata, pass {}. Filterable at search time via search_knowledge_base. Metadata-only — does not re-embed the document. Loader-derived metadata (scraped page metadata for URLs, chunker metadata for files) is not touched. Search filters may take a few seconds to reflect the new values. The document must be fully indexed (status: ready) before calling this tool. If indexing isn't complete, the tool returns a validation error.
list_aeo_ads
ChatGPTList observed ads for a Brand Kit. Ads observed by AirOps in collected ChatGPT and Google AI Mode answers. One row per creative per provider. Repeated observations on the same provider are grouped together, with counts showing how often the ad was observed. Covers ads AirOps has seen in its own answer collection, so it does not describe full market coverage, targeting intent, impression delivery, or advertiser spend.
list_aeo_advertisers
ChatGPTList advertisers observed in ChatGPT answers for a Brand Kit. Advertisers observed by AirOps in collected ChatGPT answers. Rows roll up every observed ad to the advertiser that ran it, identified by canonical domain. Covers ads AirOps has seen in its own answer collection, so it does not describe full market coverage, targeting intent, impression delivery, or advertiser spend. Use list_aeo_ads for the individual ads behind these counts.
list_aeo_agent_analytics
ChatGPTList daily AI bot crawl and AI agent visit counts for a Brand Kit, one row per date, platform and crawl type. Agent Analytics: daily bot requests to the Brand Kit's tracked web pages, one row per date, platform and crawl_type with a request count. Rows with no requests are omitted. Every platform and crawl type is returned; sum the rows to reproduce the Agent Analytics tab. Paginate through every page first (loop while page <= meta.total_pages): a date range commonly has more rows than fit on one page, so summing only the first page undercounts. Tracked engines are chat_gpt, perplexity, gemini, google_ai_mode, claude. "Crawls" are rows with crawl_type ai_search or ai_training. Total Crawls: sum crawls for tracked engines. AI Agent Visits: sum user_browse for tracked engines. Top Crawling Engine: the tracked engine with the most crawls. Crawl Type Breakdown: for tracked engines, ai_search (Web Search) and ai_training (Training), each as a percentage of their combined total. Engine Breakdown: per tracked engine, ai_training (Training), ai_search (Web Search), their sum (Total Crawls) and user_browse (AI Agent Visits). Crawl Activity vs. AI Agent Visits chart: per date, sum each crawl_type across all platforms, including generic crawlers such as google and bing. AI Agent Visits over time: user_browse per date per platform; the chart shows tracked engines. Filter by web_page_id to get the same numbers for one page. Pages table Total Crawls for one page: filter by web_page_id and sum count across all rows (every platform and crawl type). Date range: as on the Agent Analytics tab, requests stamped exactly 00:00:00 on the day after end_date are included and returned as a row dated that next day. Drop rows dated after end_date to match the Pages table exactly.
list_aeo_citations
ChatGPTList citations (URLs) with metrics for a Brand Kit. Citations (URLs) with detailed metrics including influence score. Shows individual URLs being cited in AI answers with page-level context.
list_aeo_domains
ChatGPTList domains cited in AI answers for a Brand Kit. Cited domains aggregated by domain with citation metrics. Shows which domains are being cited in AI answers for a Brand Kit.
list_aeo_page_content_updates
ChatGPTList page content updates for a workspace. Track content updates.
list_aeo_prompts
ChatGPTList AEO prompts for a specific Brand Kit. Questions are the AI prompts that can be asked about a brand. They are used to get AI answers with citations and mentions.
list_answers
ChatGPTList AI answers for a brand kit with filters for date range, providers, countries, prompt_id, and brand_mentioned. Individual AI answers with their cited URLs and brand/competitor mentions.
list_brand_kit_owned_subreddits
ChatGPTList a Brand Kit’s owned Reddit subreddits. During Reddit thread creation Campaign setup, show these options and ask which subreddit to use; also allow the user to provide a new subreddit. Use the selected owned_social_account_id when creating or updating the draft.
list_brand_kits
ChatGPTList all Brand Kits the user has access to. Returns brand_management_enabled and aeo_enabled flags for each brand kit. Use get_brand_kit for brand management details, or get_insights_settings for AEO configuration. Optionally filter by workspace_name, workspace_id, brand_management_enabled, or aeo_enabled. IMPORTANT: If multiple brand kits are returned and the user has not specified which one to use, present the list and ask them to confirm. Do NOT arbitrarily pick one.
list_campaigns
ChatGPTList campaigns the authenticated user has access to. Request resource_configuration and custom_instructions when comparing Campaign scope. Use get_campaign to retrieve full details for a campaign. Campaigns are Plays that coordinate strategy playbooks, action grids, and related opportunities for improving AEO performance.
list_grids
ChatGPTList grids the authenticated user has access to. Use includes=[\"grid_tables.grid_columns\"] to get table and column structure needed for read_grid and write_grid calls. Grids are spreadsheet-like tables for organizing and processing data. Each grid contains one or more tables (sheets), and each table has columns and rows. Use includes to retrieve table and column structure needed for read_grid and write_grid calls.
list_knowledge_bases
ChatGPTList all Knowledge Bases the authenticated user has access to. Knowledge Bases store documents for semantic search. Use the status field to determine if a Knowledge Base is searchable (status: "ready").
list_opportunities
ChatGPTList opportunities for a campaign. V1 responses include matching opportunity items; v2 responses include parent review state, the target page, and ordered contexts. Reddit Thread Creation Campaigns support a next_cursor to inspect earlier ideas before proposing more.
list_pages
ChatGPTList web pages with daily metrics (AEO citations, GSC clicks/impressions, GA4 traffic, and configured GA4 key events) for a brand kit. Supports filtering by metrics and text fields, sorting, and pagination.Web page metrics are the daily metrics of citations, clicks, impressions, traffic, configured GA4 key events, and AI bot crawls (Agent Analytics) for a specific web page. Crawl metrics are zero when no bot requests match the selected date range.
list_personas
ChatGPTList personas for a specific Brand Kit. Personas are the characters that can be used to ask questions about a brand. They are used to get AI answers with citations and mentions.
list_playbook_sessions
ChatGPTList Playbook sessions in a workspace with optional filtering by playbook, status, or full-text search (searches session name and creator name). Returns sessions in reverse chronological order with pagination.
list_reports
ChatGPTList saved analytics reports for a specific Brand Kit. Reports are saved analytics views for a Brand Kit. They contain modules that display different analytics metrics.
list_tags
ChatGPTList tags for a specific Brand Kit. Tags are user-defined labels applied to prompts within a Brand Kit. They are typically used to filter analytics by arbitrary groupings (e.g. priority, campaign, theme) that go beyond topics.
list_topics
ChatGPTList topics for a specific Brand Kit. Topics are the categories of questions that can be asked about a Brand Kit. They are used to group questions together and to create a taxonomy of questions.
list_workspaces
ChatGPTList all workspaces the authenticated user has access to. Workspaces are the top-level container for all resources in the AirOps platform. A user can have multiple workspaces, and each workspace can have multiple resources like Brand Kits, Pages, Prompts, etc.
manage_brand_kit_audience
ChatGPTCreate or update an audience for a Brand Kit draft. Omit id to create a new audience; provide id to update an existing one. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_competitor
ChatGPTCreate or update a competitor for a Brand Kit. Omit id to create a new competitor; provide id to update an existing one. On update, only provided fields are changed. Competitors must be associated with at least one product line from the same brand kit. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_content_sample
ChatGPTCreate or update a content sample for a Brand Kit. Omit id to create a new content sample; provide id to update an existing one. On create, provide either url (content will be extracted asynchronously) or content (plain text, stored immediately). On update, only content, url, audience_ids, and region_ids can be changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_content_type
ChatGPTCreate or update a content type for a Brand Kit. Omit id to create a new content type; provide id to update an existing one. On create, you may provide a sample_url to seed the content type with a content sample: - If only sample_url is provided (no content fields), the system will scrape the URL and use AI to generate all content type fields automatically. - If sample_url is provided along with content fields, the URL will be scraped for reference but the provided field values will be kept as-is. - If no sample_url is provided, the content type is created with the given fields only. On update, only provided fields are changed and sample_url is ignored. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_custom_variable
ChatGPTBefore creating a custom variable, you MUST analyze the user's intent and suggest the appropriate Brand Kit dimension instead. Map the request to these alternatives first: - Region + Writing Rule: For location/language-specific instructions (e.g., "US writing tone", "UK spelling") - Audience + Writing Rule: For audience-specific guidelines (e.g., "developer tone", "enterprise style") - Content Type: For format-specific rules (e.g., "blog post structure", "email CTA") - Writing Rule (global): For general writing guidelines - Writing Tone / Writing Persona: For overall voice and style Create or update a custom variable for a Brand Kit. Omit id to create a new custom variable; provide id to update an existing one. On create, name and value are required. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_font
ChatGPTCreate or update a font for a Brand Kit. Omit id to create a new font; provide id to update an existing one. On update, only provided fields are changed. To attach a font file, either: - Use signed_id with the token from create_brand_kit_direct_upload after direct upload (preferred). - Use file_url with a publicly accessible URL to a font file (TTF, OTF, WOFF, WOFF2, or EOT). Alternatively, provide google_font_link with a Google Fonts URL. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_logo_size
ChatGPTCreate or update a logo size for a Brand Kit. Omit id to create a new logo size; provide id to update an existing one. On update, only provided fields are changed. At least one of width or height must be provided on create. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_logo_variant
ChatGPTCreate or update a logo variant for a Brand Kit. Omit id to create a new logo variant; provide id to update an existing one. On update, only provided fields are changed. To attach a logo image, either: - Use signed_id with the token from create_brand_kit_direct_upload after direct upload (preferred). - Use file_url with a publicly accessible URL to a PNG or SVG image. Always provide usage_instructions when creating a logo variant — describe when and how to use this logo (e.g. "Primary logo for light backgrounds", "Monochrome version for print materials"). This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_palette
ChatGPTCreate or update a color palette for a Brand Kit. Omit id to create a new palette; provide id to update an existing one. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_palette_color
ChatGPTCreate or update a color within a Brand Kit palette. Omit id to create a new color; provide id to update an existing one. On create, palette_id is required. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_product_line
ChatGPTCreate or update a product line for a Brand Kit. Omit id to create a new product line; provide id to update an existing one. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_region
ChatGPTCreate or update a region for a Brand Kit. Omit id to create a new region; provide id to update an existing one. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_type_size
ChatGPTCreate or update a type size for a Brand Kit. Omit id to create a new type size; provide id to update an existing one. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_usage_rule
ChatGPTCreate or update a usage rule for a Brand Kit. Omit id to create a new usage rule; provide id to update an existing one. On update, only provided fields are changed. applies_to is set on creation and cannot be changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_visual_example
ChatGPTCreate or update a visual example for a Brand Kit's Data Visualization section. Omit id to create a new visual example; provide id to update an existing one. On update, only provided fields are changed. Visual examples must be grouped under a Visual Use Case — pass visual_use_case_id on create. Use manage_brand_kit_visual_use_case first if no use case exists yet. To attach an image, either: - Use signed_id with the token from create_brand_kit_direct_upload after direct upload (preferred). - Use file_url with a publicly accessible URL to an image. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_visual_use_case
ChatGPTCreate or update a Visual Use Case for a Brand Kit. A Visual Use Case is a named grouping of visual examples that share a common set of instructions for when and how to apply them (e.g., "Hero sections", "Social posts", "Email headers"). Omit id to create a new visual use case; provide id to update an existing one. On update, only provided fields are changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
manage_brand_kit_writing_rule
ChatGPTCreate or update a writing rule for a Brand Kit. Omit id to create a new rule; provide id to update an existing one. Scoping: A rule can optionally be scoped to exactly one dimension — a single content type, audience, OR region. Provide at most one of content_type_id, audience_id, or region_id on create. They are mutually exclusive. A rule with no scoping is global (applies everywhere). Scoping is immutable: it is set on create only. On update, only text can be changed. This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be created or changed and ask for confirmation before calling this tool.
publish_brand_kit
ChatGPTPublish a Brand Kit's current draft so changes become active. This promotes the current draft to active and creates a fresh draft from it. IMPORTANT: Always confirm with the user before publishing.
publish_playbook
ChatGPTExplicitly publish the current Playbook draft as a new active version. Call only after the user has reviewed the draft and asked to publish it.
query_analytics
ChatGPTQuery analytics data for a Brand Kit with flexible metrics, dimensions, and filters. Today's data is still being processed — always use yesterday (2026-10-13) or earlier as end_date . "Use this to set appropriate date ranges when users ask about recent metrics without specifying dates. IMPORTANT: USE chart_image_url WHEN YOU NEED TO EMBED A CHART IN NOTION/GOOGLE DOCS, ETC."
read_grid
ChatGPTRead rows from a grid table. Returns rows as objects with column titles as keys. Use list_grids() to discover available grids and their table/column structure. Supports filtering by column values, selecting specific columns, and pagination. Returns up to 100 rows per page (default 50). Cell values are truncated to 500 characters by default (configurable up to 2000 via the truncate parameter); truncated values end with a marker showing their full length. Use read_grid_cell() to fetch the complete value of a specific cell. Playbook columns include active-version artifact metadata for mapping their outputs into playbook or workflow columns with add_grid_column().
read_grid_cell
ChatGPTRead the full value of a single grid cell. read_grid() truncates cell values; use this tool when you need the complete content of one cell (e.g. a full article, brief, or HTML payload). Identify the cell via the row __id and column id returned by read_grid().
read_playbook_output
ChatGPTRead the complete text of one Playbook session output. Select exactly one output with event_id or artifact_path. Event content and text artifacts are returned in character pages; pass next_offset back as offset to continue reading. Settled collaborative text artifacts are read from their current editor document before the session volume so edits made after the run are reflected immediately. Binary artifacts are not supported.
reject_opportunity
ChatGPTReject pending opportunities for a campaign. For v2 campaigns, pass opportunity_ids; opportunity item selection and rejection reasons are v1-only. Before calling this tool, summarize the opportunities or opportunity items that will be rejected and get explicit user confirmation.
run_grid_rows
ChatGPTTrigger execution of one or more grid rows. This runs all workflow (app execution) columns for each specified row in dependency order. Execution is asynchronous — this tool returns immediately with execution metadata. Use get_grid_row_execution_status() to check progress. Maximum 50 rows per call.
search_knowledge_base
ChatGPTSearch a Knowledge Base for relevant content using semantic similarity. Use list_knowledge_bases() first to find available Knowledge Bases and their IDs. Only Knowledge Bases with status "ready" can be searched.
start_answer_evaluation_test_run
ChatGPTTest draft Pass and Fail criteria against 1 to 5 real or synthetic answers. This starts an asynchronous run. Call get_answer_evaluation_test_run with the returned ID until its status is completed, then show each verdict and reasoning to the user. Do not create an evaluation while the run is pending or running.
track_aeo_page_content_update
ChatGPTTrack a page content update (publish/refresh) to correlate future analytics with content changes. Call this tool after a page is published or refreshed through a CMS (e.g. WordPress, Webflow, Contentful) or any MCP server that modifies page content. This lets AirOps correlate page performance metrics — AI visibility, citations, mentions — with specific content updates over time. The URL must match a domain configured in one of the workspace's Brand Kits. If no matching Brand Kit domain is found, the content update cannot be created. If the URL matches multiple Brand Kits (for example regional variants sharing a domain), a content update is created for each, routed by the most specific brand_url path (e.g. "https://example.com/es/post" maps to the Brand Kit whose brand_url is "https://example.com/es/"). IMPORTANT: Always show the user exactly which fields you plan to use (url, type, source) and ask for their confirmation before calling this tool. User confirmation is mandatory.
update_aeo_prompt_assignments
ChatGPTUpdate the country, persona, and platform assignments of one or more existing AEO prompts on a Brand Kit. Writes to the brand kit's draft session ONLY — changes do NOT take effect until you call commit_aeo_prompt_assignments. Semantics: - For each entry in prompts, a non-empty array REPLACES that prompt's current draft assignments for the given dimension. - An empty array CLEARS that dimension on the prompt. - Omitting a dimension or passing null leaves that dimension UNCHANGED. - At most 100 prompts can be updated per call. Workflow: 1. Call update_aeo_prompt_assignments to stage your changes in the draft. 2. Inspect limit_exceeded in the response. If true, the workspace would exceed its estimated-answers quota on commit. Adjust by calling update_aeo_prompt_assignments again, or call discard_aeo_prompt_assignments to abandon. 3. When ready, call commit_aeo_prompt_assignments to apply the draft to live. Always confirm with the user before committing. IMPORTANT — shared draft with the UI: - There is one draft per brand kit, shared between MCP and the human-facing UI. - If the user has unsaved UI edits, your edits accumulate in the same draft. A subsequent commit will publish both sets of edits together; a discard will destroy both. Surface this to the user before committing or discarding. To discover prompt IDs and current assignments, use list_aeo_prompts. To inspect current draft state without modifying it, use get_aeo_prompt_assignments_status.
update_aeo_tag
ChatGPTUpdate an existing AEO tag's name and/or color on a Brand Kit. Behavior: - At least one of name or color must be provided. - If name is provided, it must remain unique within the Brand Kit (case-insensitive). - Valid colors: light_grey, grey, green, teal, blue, purple, lilac, pink, red, coral, orange. - Existing taggings on prompts are preserved — only the tag's own attributes change. IMPORTANT: Always show the user the tag (current name) and the change you plan to apply, and get explicit confirmation before calling. You can verify the change by calling list_tags.
update_brand_kit
ChatGPTUpdate a Brand Kit's base fields. Only provided fields are changed. Use get_brand_kit first to see current values. Updatable fields include brand identity (name, URL, about) and writing style (persona, tone). This tool edits the Brand Kit draft version only; it does not change the active (live) version. IMPORTANT: Always show the user exactly which fields will be changed and ask for confirmation before calling this tool.
update_topic
ChatGPTUpdate an existing AEO topic's name and/or color on a Brand Kit. Behavior: - At least one of name or color must be provided. - If name is provided, it must remain unique within the Brand Kit. - Valid colors: light_grey, grey, green, teal, blue, purple, lilac, pink, red, coral, orange. - Existing prompt assignments are preserved. This tool cannot move a topic to another Brand Kit. IMPORTANT: Always show the user the topic (current name) and the change you plan to apply, and get explicit confirmation before calling. You can verify the change by calling list_topics.
write_grid
ChatGPTCreate or update rows in a grid table. When mode is 'create', rows are added as new rows with column titles as keys. When mode is 'update', each row must include a '__id' key with the row ID to update. To update a single cell, pass a single-element array with the row ID and the column to change. Maximum 1000 rows per operation.
get_brand_kit
Claudeget_page_details
Claudeget_page_prompts
Claudeget_prompt_answers
Claudelist_aeo_prompts
Claudelist_brand_kit_competitors
Claudelist_brand_kits
Claudelist_pages
Claudelist_personas
Claudelist_topics
Claudelist_workspaces
Claudequery_analytics
Claude
