OpenAI Chat Model workflow'ları
480 sonuç — tümü kaynağa bağlı n8n referansı
Generate structured drama scripts from webhook requests using OpenAI and Google Sheets
Quick overview This workflow accepts a webhook request with a drama topic, genre, tone, and size constraints, uses Python-based genre classification plus OpenAI GPT‑4.1 to generate a full script as structured JSON, then returns the script to the caller and appends a summary log entry to Google Sheets. How it works Receives a POST webhook request containing the script topic, genre, tone, language, act count, and character count. Normalizes inputs by applying defaults, clamping acts to 1–5 and characters to 2–8, and adding request metadata like a request ID and timestamp. Classifies the genre in Python and prepares genre-specific guidance used to shape the script structure, then filters out requests marked as invalid. Sends the prepared parameters and genre guidance to OpenAI (GPT‑4.1) to generate a complete drama script as a single JSON object. Parses and validates the AI response as JSON, falls back to a safe wrapper if parsing fails, and enriches the result with counts for acts, scenes, and characters. Waits briefly and then returns the structured script to the webhook caller while also appending a summary row to a Google Sheets tab for tracking. Setup Configure the Webhook trigge
Create AI image and video posts from Telegram with GPT-4o, AtlasCloud and Blotato
Quick overview This workflow receives a post idea via Telegram, uses OpenAI (GPT-4o mini) to generate platform-specific copy plus image/video prompts, creates media through AtlasCloud (GPT Image 2 and Seedance 2.0), requests approvals in Telegram, and publishes the approved content to seven social platforms via Blotato. How it works Triggers when a new Telegram message arrives with a post description. Uses OpenAI (GPT-4o mini) to generate copy for X, LinkedIn, Facebook, Threads, Instagram, TikTok, and YouTube Shorts, plus an English image prompt and video prompt. Sends the prompts to AtlasCloud to generate a square image (GPT Image 2) and a vertical short video (Seedance 2.0), polling each prediction until it completes. Sends the generated image and video back to Telegram for preview and asks for approval, automatically regenerating the declined media. Publishes the approved image to X, LinkedIn, Facebook, and Threads via Blotato and confirms completion in Telegram. Publishes the approved video to Instagram Reels, TikTok, and YouTube Shorts via Blotato (with synthetic/AI flags enabled where configured) and confirms completion in Telegram. Setup Create a Telegram bot with BotFather,
Generate AI songs from Telegram prompts with OpenAI and Suno
Quick overview This workflow listens for Telegram messages containing a song idea, uses OpenAI to expand the idea into a Suno-ready prompt, submits a generation request to the Suno API, polls until the track is ready, and then sends the finished audio and details back to the user in Telegram. How it works Triggers when a user sends a message to your Telegram bot. Captures the message text and chat ID, applies default generation settings, and sends an acknowledgment message back on Telegram. Uses OpenAI to rewrite the short idea into a concise, Suno-optimized music prompt based on your style preferences. Submits the enriched prompt to the Suno API to start generating a song. Waits for a configured interval, checks the Suno generation status, and repeats polling until the status is SUCCESS. Sends the generated audio URL to the user as a Telegram audio message and follows up with a completion message including the title and duration. Setup Create and select a Telegram Bot credential for the Telegram trigger and the Telegram send-audio/message steps. Add an OpenAI API credential for the OpenAI chat model used to enrich the prompt. Create an HTTP Header Auth credential for the Suno API
Create and publish AI video reels to Instagram from Telegram with OpenAI and AtlasCloud
Quick overview This workflow turns a Telegram message into an AI-generated vertical video using AtlasCloud Seedance 2.0, generates an Instagram-ready caption with OpenAI, publishes the reel via Blotato, and sends a Telegram confirmation with the published video URL. How it works Triggers when a new message is received by your Telegram bot. Uses OpenAI to expand the message into a short, visually descriptive 9:16 text-to-video prompt. Sends the prompt to AtlasCloud (Seedance 2.0) to generate a vertical video with the configured size, duration, and FPS. Waits and polls AtlasCloud for the prediction status until the video completes. Uses OpenAI to write a playful Instagram caption with 3–5 hashtags based on the video prompt. Publishes the generated video URL as an Instagram Reel through Blotato using the generated caption. Sends a Telegram message confirming the Reel is published and includes the final video URL. Setup Create a Telegram bot and add your Telegram credentials to both the trigger and the notification steps. Add an OpenAI API credential and select it for both prompt and caption generation. Create an AtlasCloud API key and configure an HTTP header auth credential (Authoriz
Draft Google review reply emails with Gmail, OpenAI, and Google Sheets
Quick Overview This workflow monitors Gmail for Google Business Profile “new review” alert emails, uses OpenAI to extract the rating and review text and draft a policy-safe reply, then emails the draft to you and logs the review and reply draft to Google Sheets. How it works Triggers when a new Google Business Profile review notification email arrives in Gmail. Looks up the email’s message ID in a Google Sheets ledger to prevent drafting duplicate replies. Sends the email content and your configured business details to OpenAI to extract the rating, reviewer first name, and review text and generate a reply draft as structured JSON. Emails you a formatted message containing the review excerpt, the suggested reply, and a link to your Google reviews page. Appends a new row to Google Sheets with the message ID, extracted review details, the reply draft, a timestamp, and a “draft-sent-to-owner” status. Setup Connect your Gmail account and ensure Google review alerts are delivered from [email protected]. Add an OpenAI API key/credential and select the chat model in the OpenAI node. Create a Google Sheets “reply ledger” with columns like processed_at, gmail_message_id, rat
Mask PII in hosted chat with OpenAI, Claude, and Saklam Bridge
Quick overview This workflow provides a public hosted chat that routes messages through the Saklam Bridge to mask PII on-premises before calling models like Claude, GPT, or Mistral, then restores the original values in the response. How it works Exposes a public hosted chat interface and receives each user message. Sends the message to an AI agent that uses an OpenAI-compatible chat model endpoint. Routes the model request through the self-hosted Saklam Bridge, which masks PII locally before forwarding the prompt to your chosen LLM provider. Receives the provider’s response back through Saklam Bridge, which unmasks the placeholders to restore the original PII. Returns the final unmasked answer to the hosted chat user. Setup Deploy the Saklam Bridge container in the same network as n8n and configure it with your Saklam license and your LLM provider API key. Create an OpenAI API credential in n8n that points its Base URL to your Saklam Bridge endpoint (for example, http://saklam-bridge:4000/v1) and uses the Bridge master key as the API key. Select that OpenAI credential in the chat model node and set the model name to the provider model you want to use (for example, claude-haiku-4-5,
Send daily brand mention digests to Slack with ScraperAPI and OpenAI
Quick Overview This workflow runs every morning at 8am, searches Google News for configured brand terms using ScraperAPI, stores previously seen article URLs in an n8n Data Table, summarizes the new coverage with OpenAI, and posts a daily brand-mention digest to a Slack channel. How it works Runs every day at 8am on a schedule. Sets the search terms, Google News country and time-period filters, and the target Slack channel. Creates (if needed) and reads an n8n Data Table of previously seen article URLs. Queries Google News via ScraperAPI for each search term and extracts article details from the responses. Deduplicates results against the seen-articles table and the current run, then stores new article URLs back into the Data Table. Groups new articles by brand, asks OpenAI to write a per-brand Slack-formatted summary, and posts the final digest message to Slack. Setup Add ScraperAPI credentials and ensure your ScraperAPI plan supports the Google News SDE endpoint used by the workflow. Add an OpenAI credential that can access the configured chat model (gpt-5-mini) or change the model selection to one available in your account. Add a Slack credential with permission to post messages
Analyze LinkedIn profiles and posts with Apify and OpenAI GPT-4
Quick overview This workflow collects a LinkedIn profile URL via an n8n form, scrapes the profile’s recent posts with Apify, analyzes the profile and each post using OpenAI models, and stores the resulting profile summary and per-post insights in n8n Data Tables. How it works Receives a LinkedIn profile URL when a user submits the built-in n8n form. Extracts the LinkedIn username from the URL and runs an Apify actor to scrape the profile’s posts into a dataset. Generates an overall competitive-intelligence style profile analysis from the scraped posts using an OpenAI chat model and parses the result into structured JSON. Saves the structured profile summary, themes, messaging patterns, and content ideas to an n8n Data Table. Loops through each scraped post, stores the raw post text and engagement metrics in an n8n Data Table, and marks it as unprocessed. Analyzes each post with an OpenAI chat model to extract structured insights (topic, takeaway, engagement insight, and suggested use) and updates the corresponding Data Table row as processed. Setup Configure the n8n Form Trigger and share the form URL with users who will submit LinkedIn profile links. Add an Apify API token in n8n
Review stale Notion docs with Gmail alerts, Slack reports, and OpenAI
Quick overview This workflow runs every Friday to scan a Notion documentation database for pages not edited in 90+ days, marks them as “Needs review,” emails owners of critical stale docs via Gmail, and uses OpenAI to generate a prioritized weekly review plan that it posts to a Slack channel. How it works Runs every Friday at 10:00 on a schedule. Retrieves all pages from a selected Notion database and calculates how many days it has been since each page was last edited, along with its title, URL, owner email, and importance. Filters the list to only documentation pages that have been untouched for 90 days or more. Updates each stale page in Notion by setting its Status to “Needs review.” Sends a Gmail email to the page owner when the stale document is marked as Critical and an owner email is present. Aggregates all stale documents and sends them to OpenAI to draft a short, risk-ranked weekly docs review plan. Posts the generated review plan to a specified Slack channel. Setup Connect credentials for Notion, Gmail, OpenAI (Chat Model), and Slack. Select your target Notion database in the Notion “getAll” step and ensure it contains properties for Owner Email, Importance (Critical/Nor
Generate and publish AI short videos from Telegram using Blotato and OpenAI
Quick overview This workflow accepts a content idea via Telegram, uses OpenAI to write a short cross-platform caption, generates a vertical AI video with Blotato, and publishes it to TikTok, Instagram, Facebook, and X (Twitter), then confirms the result back in Telegram. How it works Receives a message (your content idea) via a Telegram bot trigger. Uses the incoming text to set the video prompt and posting options like TikTok privacy and the AI-generated flag. Sends the prompt to OpenAI to generate a single short caption (max 280 characters) to reuse across all platforms. Creates a 9:16 AI video in Blotato using a selected template and predefined template inputs (for example profile name and image). Waits and repeatedly checks Blotato until the video render status is marked as done. Publishes the rendered video and the generated caption to TikTok, Instagram Reels, Facebook Reels, and X (Twitter) via Blotato. Sends a Telegram message confirming the video has been published. Setup Install and enable the Blotato community node in your n8n instance (or enable Verified Community Nodes on n8n Cloud) and add a Blotato API credential. Connect your Blotato account to TikTok, Instagram, Fac
WGenerate SEO-friendly robots.txt with OpenAI and Google Drive
Quick overview This workflow runs manually to check a website’s existing robots.txt, detect the site’s CMS from the homepage HTML using OpenAI, and generate an optimized robots.txt (including the provided sitemap URL) that is saved as a file and uploaded to Google Drive. How it works Starts when you click “Execute workflow” and sets the target website URL and sitemap URL. Requests the site’s existing robots.txt via HTTP and checks whether the response returns status code 200. If robots.txt exists, the workflow stops without making changes. If robots.txt is missing, it fetches the website homepage HTML via HTTP. Sends the HTML to OpenAI to detect the CMS and parses the model output into structured JSON. Uses OpenAI again to generate a production-ready robots.txt tailored to the detected CMS and including the sitemap directive. Converts the generated text into a robots.txt file and uploads it to a chosen folder in Google Drive. Setup Add an OpenAI API credential and ensure the selected chat model is available for both CMS detection and robots.txt generation. Add a Google Drive OAuth2 credential and choose the target Drive and folder for the uploaded robots.txt file. Update the websit
Route patients to the best nearby hospital using Google Maps, GPT-4.1 and Twilio
Quick overview This workflow accepts emergency location requests (or runs on a 5-minute schedule), finds and ranks nearby hospitals/clinics using Google Places, capacity data, and Google Distance Matrix, generates a routing message with OpenAI, sends the recommendation via Twilio SMS, logs the event to Google Sheets, and returns a JSON response. How it works Receives an emergency request via a webhook POST (or runs every 5 minutes on a schedule) and normalizes latitude, longitude, severity, phone number, and a request ID. Validates the GPS coordinates, maps severity to a numeric score, and sets a search radius, returning an error response if the location is invalid. Queries the Google Places API for nearby hospitals and clinics, then merges and deduplicates the results into a single facility list. Looks up each facility’s ED capacity metrics from a capacity API and calculates real-time driving time to each facility with the Google Distance Matrix API. Scores and ranks facilities using a severity-adjusted composite score (travel time, available beds, wait time, and ED diversion penalties) and selects the best match plus two alternatives. Uses OpenAI to generate a calm routing messag
Send AI market briefings to email and Discord with AlphaAI and GPT-4
Quick Overview This workflow runs every 15 minutes to fetch AlphaAI’s trending market news, filter for new high-relevance, ticker-linked stories, and post them to a Discord channel via webhook as rich embed cards with sentiment and impact details. How it works Runs every 15 minutes on a schedule trigger. Requests the current trending news feed from the AlphaAI API using Bearer authentication. Filters out already-posted articles, keeps only stories with relevance score ≥ 8 and at least one ticker, and formats up to 10 items into Discord embed cards with AlphaAI sentiment, confidence, actionability, and likely price impact. Posts a single Discord webhook message containing a header and the generated embeds, and stores the posted article IDs to prevent duplicates in future runs. Setup Create an AlphaAI API key and add it as an n8n HTTP Bearer Auth credential used by the AlphaAI request. Create a Discord channel webhook and paste its URL into the Discord webhook HTTP request node. Activate the workflow and keep it running on the same n8n instance so its stored posted-article IDs can be reused across executions.
Generate vendor negotiation strategies from pricing data with GPT-4 and SendGrid
Quick overview This workflow ingests vendor pricing via a webhook or a weekly schedule, analyzes variance against historical and market benchmarks, uses OpenAI to draft negotiation strategies for high-priority cases, then emails recommendations through SendGrid and appends the analysis to a Google Sheets tracker. How it works Receives vendor pricing data from a POST webhook endpoint or runs every Monday at 8:00 to process a scheduled input. Normalizes incoming fields (vendor, pricing, benchmarks, volume, currency, renewal date, and notes) into a consistent schema. Calculates price variance versus historical and market benchmarks, estimates potential savings, derives a confidence score, and flags whether the opportunity is high priority. Filters to only high-priority opportunities and waits briefly to help manage API rate limits. Uses OpenAI to generate a structured, under-300-word negotiation strategy including tactics, target and walk-away prices, projected savings range, and risk flags. Formats the AI output into a report, emails it via the SendGrid API, and appends the analyzed record to a Google Sheets tab for tracking. Setup Add an OpenAI API credential for the OpenAI Chat Mod
Generate rich character bibles for writers with GPT-4.1 and Google Sheets
Quick overview This workflow accepts character details via webhook or manual trigger, uses OpenAI to generate psychology, backstory, and emotional arc drafts in parallel, then synthesizes them into a structured “Character Bible” JSON response and optionally appends a log row to Google Sheets. How it works Receives a POST request on an n8n webhook (or runs manually) with character parameters like name, age, archetype, world setting, story role, traits, and constraints. Normalizes the incoming fields, validates the archetype, and derives genre tags from the world setting using Python logic. Sends the enriched character inputs to OpenAI three times in parallel to generate a psychology profile, a backstory, and an emotional arc document. Combines the three AI documents into a single context object and passes it to OpenAI again to synthesize a unified Character Bible with defined sections. Parses the Character Bible into structured JSON fields (identity snapshot, personality core, backstory highlights, emotional arc, voice, and story hooks) and adds metadata like request ID and timestamp. Returns the completed character profile as a JSON webhook response and optionally appends a summary
Manage KlickTipp contact tags with GPT-5-mini via chat input
Quick overview This workflow uses an n8n chat trigger, OpenAI (gpt-5-mini), and KlickTipp community nodes to interpret chat instructions and create, apply, or remove tags for an existing KlickTipp contact, returning a structured JSON result. How it works Receives a chat message containing a contact email address and explicit tag add/remove instructions. Uses OpenAI (gpt-5-mini) to extract the email plus the requested tags to apply and/or remove, enforcing strict rules to avoid inventing tags. Looks up the contact in KlickTipp by email and reads the contact’s currently assigned tag IDs. Retrieves the full tag list from KlickTipp and creates any missing tags that were explicitly requested for applying. Applies the resolved tag IDs to the contact in KlickTipp when an explicit apply action is present and the contact does not already have them. Removes specific tag IDs (or all currently assigned tag IDs when requested) from the contact in KlickTipp when an explicit remove action is present. Returns a structured JSON response summarizing what was requested, which tags were created, and which tag IDs were applied or removed. Setup Add KlickTipp credentials for the community KlickTipp node
Enrich KlickTipp contact fields using OpenAI GPT-5.5 and context
Quick Overview This workflow receives an email and a context block, uses OpenAI to extract and validate enrichment details against the existing KlickTipp subscriber record, and then updates approved mapped data fields in KlickTipp. How it works Receives an incoming request from another workflow containing a contact email address and a free-text context block. Fetches the existing subscriber record from KlickTipp using the provided email. Uses OpenAI to extract enrichment attributes from the context, compare them to the current KlickTipp values, and decide final values using a confidence threshold for overwriting non-empty fields. Updates the KlickTipp subscriber with the final approved values for the mapped fields (for example name, company, address, phone numbers, website, birthday, and social profile URLs). Setup Add KlickTipp credentials and ensure the target subscriber fields (including any custom fields for LinkedIn, Instagram, Facebook, and job title) exist in your KlickTipp account. Add an OpenAI API key credential and select the model you want to use in the OpenAI chat model configuration. Ensure the incoming payload sent to this workflow includes at least email and context
Generate personalized email salutations for KlickTipp contacts with OpenAI
Quick Overview This workflow triggers when a contact is tagged in KlickTipp, uses OpenAI to generate an HTML-ready email salutation with a quality score, and updates the KlickTipp subscriber record with the salutation only when it meets a defined confidence threshold. How it works Triggers when a contact is tagged in KlickTipp and receives the contact’s profile fields (name, email, company, and address data). Sends the contact details to OpenAI to generate a JSON response containing an HTML-ready salutation plus language, style, and a salutation quality score. Parses and validates the OpenAI response against a structured JSON schema. Checks whether the generated salutation quality score is greater than 80. Updates the contact in KlickTipp by writing the generated salutation into a configured custom field when the score passes the threshold. Setup Add KlickTipp credentials and ensure the KlickTipp trigger for “contact tagged” is enabled for your account. Add an OpenAI API key for the chat model used to generate the salutation. In KlickTipp, create/identify the tag that should trigger this automation and configure it to call the n8n webhook URL from the trigger. Create a KlickTipp cu
BAnswer HR policy and benefits questions with BambooHR, OpenAI and Supabase
Quick Overview This workflow ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an additional employee/department lookup powered by BambooHR employee data. How it works Starts a manual run to fetch files from BambooHR and keep only PDFs in the “Company Files” category. Downloads each selected PDF, splits it into chunks, generates OpenAI embeddings, and inserts the content into a Supabase vector table for retrieval. Exposes a chat trigger where employees submit questions to an HR assistant. Uses OpenAI with conversation memory and retrieves relevant policy content from the Supabase vector store to ground responses. When a question requires a contact person, looks up employee details in BambooHR by exact name or finds the most senior person in a requested department using an OpenAI-assisted department extraction and ranking step. Returns the final answer to the chat, including policy-based guidance and any retrieved employee contact details. Setup Add BambooHR credentials and ensure your policies/benefits PDFs are available in the BambooHR file category named “
Score and advance job applicants with Airtable, Google Workspace and GPT-4o
Quick Overview This workflow collects job applications via an n8n form, stores CVs in Google Drive, logs applicants in Airtable, and uses OpenAI to score CV-to-role fit. Shortlisted candidates receive an AI-generated questionnaire, a personalized Gmail outreach, an auto-booked Google Calendar phone screen, and saved screening questions. How it works Receives a job application through an n8n form submission, including applicant details and a PDF CV upload. Uploads the CV to Google Drive, builds a normalized applicant record (name, email, phone, experience, CV link), and creates an applicant entry in Airtable. Downloads the stored CV from Google Drive, extracts text from the PDF, and uses an OpenAI-powered agent to score the CV against the job description pulled from Airtable. Updates the applicant’s Airtable record as either “Interviewing” (score ≥ 0.7) or “No hire” (score < 0.7), including the numeric score and short reasoning. For shortlisted candidates, generates five interview questions with OpenAI, presents them in a follow-up n8n form, and saves the candidate’s responses back to Airtable. Uses OpenAI plus Airtable job/candidate context to draft a personalized outreach email, s
WAnswer HR and IT policy questions on Telegram with OpenAI and Postgres PGVector
Quick overview This workflow builds a searchable HR policy knowledge base from a PDF and runs a Telegram helpdesk bot that answers employee questions from that content, handling both text messages and voice notes via OpenAI transcription and retrieval from a Postgres PGVector vector store. How it works Manually runs once to download an HR policy PDF over HTTP and extract its text. Splits the extracted policy text into chunks, generates OpenAI embeddings, and inserts the vectors into a Postgres PGVector store. Triggers on new Telegram messages sent to your bot. Routes incoming Telegram updates by type, sending text directly to the assistant, transcribing voice messages with OpenAI, or replying that other formats are unsupported. Uses an OpenAI chat model with Postgres-backed chat memory and a PGVector retrieval tool to answer questions grounded in the stored policy content. Sends the final answer back to the user in Telegram. Setup Add an OpenAI API key for embeddings, chat completions, and audio transcription. Set up a Postgres database with the PGVector extension enabled and add the Postgres credentials for both the vector store and chat memory. Create a Telegram bot with BotFathe
Create blog drafts, images, and LinkedIn posts with Tavily, Gemini, and OpenAI
Quick overview This workflow receives a blog request via webhook, researches the topic with Tavily, generates a long-form HTML article using Google Gemini, creates two images via the kie.ai API, stores assets in Google Drive, updates a Google Sheets tracker, and notifies a Slack user with links. How it works Receives a POST webhook request containing a Google Sheets row payload with an “AI Blog Title” and related metadata. Searches the web for supporting sources using Tavily and passes the research plus the title to Google Gemini to generate the full article as HTML. Converts the generated content to HTML, creates a temporary HTML file in Google Drive, downloads it to set the correct text/html MIME type, re-uploads it as the final Drive file, and deletes the temporary file. Sends the finished article to OpenAI to generate a short LinkedIn post, then updates the matching row in Google Sheets with a Done flag, the article folder/link value, and the LinkedIn post text. Creates a cover image and an in-article infographic by submitting two text-to-image jobs to the kie.ai API, polling until each job succeeds, downloading each resulting image, and uploading both images to Google Drive. W
Generate digital product launch content with OpenAI GPT-4o-mini and Google Sheets
Quick overview This workflow generates a multi-channel digital product launch content pack from product details, using OpenAI to create a blog intro, LinkedIn post, X post, Instagram caption, and launch email, and can optionally append the results to Google Sheets. How it works Runs manually when you execute the workflow. Loads sample product details such as name, tagline, price, URL, target audience, and brand tone. Sends the product details to OpenAI (GPT-4o-mini) with instructions to return a JSON content pack for blog, LinkedIn, X, Instagram, and email. Normalizes and validates the returned JSON, ensuring all five content fields are present and formatted as plain text. Optionally appends the generated content fields as a new row in Google Sheets (when the Google Sheets step is enabled). Setup Add an OpenAI API credential and select it in the OpenAI Chat Model configuration. Replace the sample product fields (especially productURL and brandTone) with your own product data or connect a real data source. (Optional) Enable the Google Sheets step, add Google Sheets OAuth2 credentials, and set the target spreadsheet ID and sheet name. Requirements n8n instance (cloud or self-hosted)
Monitor AI search visibility with Talordata SERP, OpenAI, and Google Sheets
Quick overview This workflow runs on demand to crawl Google SERP pages via Talordata, aggregates organic results and related searches, uses OpenAI to produce a structured AI Search Visibility report with GEO recommendations and a score, and appends or updates the results in Google Sheets. How it works Starts when you manually execute the workflow and sets the target query, search engine (Google), and initial page. Calls the Talordata MCP Search API to fetch the first SERP page, then extracts pagination metadata and builds a list of pages to crawl. Loops through each SERP page and requests additional results from Talordata using the corresponding page/start value. Normalizes each page into structured datasets for organic results and related searches, and aggregates all page data into a single consolidated SERP payload. Sends the consolidated SERP dataset to OpenAI to generate a structured AI Search Visibility report (metrics, domain categorization, opportunities, recommendations, executive summary, and score). Parses the model output into JSON and appends or updates a matching row in Google Sheets keyed by the SERP link. Setup Add a Talordata Bearer Auth credential and confirm acces