One Make scenario. Trending topic in → Blog post, featured image, 3 TikToks, 3 Instagram posts, 3 Pinterest pins, 1 YouTube video, 3 YouTube Shorts — all auto-published. While you sleep.
This is a single Make scenario split into 5 phases. It runs on a schedule (daily or weekly), discovers what's trending, creates a fully EEAT-optimized blog post, produces platform-native social content for every major channel, generates YouTube video assets, and auto-publishes everything. Zero manual work after setup.
Set up these connections in Make before building the scenario. Each needs to be authorized once.
TikTok requires their Content Posting API (apply via TikTok for Developers). Instagram requires a Business or Creator account connected to a Facebook Page via Meta Business Suite — consumer personal accounts cannot post via API. For both, Buffer or Later are easier drop-in alternatives and have native Make integrations for queuing posts.
This phase runs automatically on your chosen schedule, scrapes trending signals from multiple sources, and uses AI to select the single best topic for your niche — fully automated, zero manual curation.
"trending topics in [your niche] today site:trends.google.com OR reddit.com"https://www.reddit.com/r/[YOURNICHE]/hot.json?limit=10 — Add header: User-Agent: Make-Automation/1.0. Parse the JSON response to extract post titles, upvote counts, and comment counts.https://news.google.com/rss/search?q=[YOUR+NICHE]&hl=en-US&gl=US&ceid=US:en — Set "Maximum number of returned items" to 10. This returns recent news headlines with publish dates. Use this to catch news-driven trends.After this module, add a JSON Parse module (Tools → Parse JSON). Set the JSON string to {{6.choices[].message.content}}. This makes each field — chosen_topic, target_keyword, etc. — individually mappable in every downstream module. This is critical for building the rest of the scenario.
Google's EEAT framework (Experience, Expertise, Authoritativeness, Trustworthiness) is now the core quality signal for ranking content. This phase generates a complete, publish-ready blog post that signals all four pillars to Google's algorithm.
Each platform needs native content — not repurposed captions. This phase generates 9 total posts (3 per platform) with platform-specific formatting, hashtag strategies, and visual assets for TikTok, Pinterest, and Instagram.
YouTube is the highest-ROI platform for long-term organic reach. This phase produces complete scripts, AI voiceover, and thumbnail assets for one long-form video and three Shorts — all derived from the same blog post content.
YYYY-MM-DD — [Topic]. Upload: voiceover MP3, thumbnail image, full script (as Google Doc), Shorts scripts, and all social media content packages. This becomes your complete production folder for the video editor.The final phase takes all created content and publishes or queues it across every platform. Social posts go to a scheduling queue (Buffer/Later) for time-optimized delivery. A Slack report and Airtable log keep you informed without checking dashboards.
Buffer has a native Make integration and supports TikTok, Instagram, Pinterest, and more. Instead of direct platform API calls (which require business API access), post to Buffer's queue and Buffer handles optimal scheduling times, platform-specific formatting, and API compliance. This is the most stable, lowest-friction approach.
Here is a precise, module-by-module credit breakdown for one full pipeline run. Remember: 1 credit = 1 module action on 1 bundle of data.
| Phase / Module Group | Module Count | Notes | Credits |
|---|---|---|---|
| PHASE 1 — TREND DISCOVERY | |||
| Scheduler Trigger | 1 | Trigger modules = 1 credit regardless of bundles | 1 |
| Make AI Web Search (Google trends) | 1 | 1 search = 2 credits (AI-powered) | 2 |
| HTTP — Reddit RSS | 1 | 1 GET request | 1 |
| RSS Module — Google News | 1 | 1 feed check = 1 credit | 1 |
| Text Aggregator | 1 | Aggregator = 1 credit | 1 |
| OpenAI — Topic Selection (GPT-4o) | 1 | 1 completion call | 1 |
| JSON Parse | 1 | Built-in tool = 1 credit | 1 |
| PHASE 2 — BLOG POST | |||
| Make AI Web Search — Research | 1 | 2 credits (AI search) | 2 |
| OpenAI — Article Outline | 1 | 1 completion | 1 |
| Anthropic Claude — Full Article | 1 | 1 message call | 1 |
| OpenAI DALL-E 3 — Featured Image | 1 | 1 image generation | 1 |
| HTTP — Download Image | 1 | 1 GET request | 1 |
| WordPress — Upload Media | 1 | 1 upload operation | 1 |
| WordPress — Create Post | 1 | 1 create operation | 1 |
| PHASE 3 — SOCIAL CONTENT | |||
| Claude — 3 TikTok Scripts | 1 | 1 API call, all 3 scripts in one response | 1 |
| JSON Parse — TikTok Array | 1 | 1 parse operation | 1 |
| Iterator — TikTok Posts | 1 | 1 iterator operation | 1 |
| Claude — 3 Pinterest Packages | 1 | 1 API call | 1 |
| Iterator — Pinterest Images | 1 | 1 iterator | 1 |
| DALL-E 3 — Pinterest Images ×3 | 3 | 3 bundles through iterator = 3 credits | 3 |
| HTTP — Download Pinterest Images ×3 | 3 | 3 downloads | 3 |
| Claude — 3 Instagram Packages | 1 | 1 API call | 1 |
| Iterator — Instagram Images | 1 | 1 iterator | 1 |
| DALL-E 3 — Instagram Images ×3 | 3 | 3 bundles | 3 |
| HTTP — Download Instagram Images ×3 | 3 | 3 downloads | 3 |
| PHASE 4 — YOUTUBE CONTENT | |||
| OpenAI GPT-4o — Full Video Script | 1 | 1 long completion | 1 |
| Claude — 3 Shorts Scripts | 1 | 1 API call | 1 |
| ElevenLabs — Voiceover Generation | 1 | 1 TTS call | 1 |
| DALL-E 3 — YouTube Thumbnail | 1 | 1 image generation | 1 |
| HTTP — Download Thumbnail | 1 | 1 download | 1 |
| Google Drive — Create Folder | 1 | 1 folder creation | 1 |
| Google Drive — Upload Files ×4 | 4 | MP3 + thumbnail + script doc + shorts doc | 4 |
| PHASE 5 — AUTO-PUBLISH & LOG | |||
| Iterator — Buffer TikTok ×3 | 1+3 | Iterator + 3 Buffer posts | 4 |
| Pinterest — Create Pins ×3 | 3 | 3 direct pin creates | 3 |
| Iterator — Buffer Instagram ×3 | 1+3 | Iterator + 3 Buffer posts | 4 |
| Slack — Completion Message | 1 | 1 message | 1 |
| Airtable — Create Record | 1 | 1 create | 1 |
| Notion — Create Page | 1 | 1 create | 1 |
| 🔢 TOTAL CREDITS PER RUN | ~50 modules | Range: 90–105 depending on exact iterator setup | ~96 |
Free plan (1,000 cr/mo): ~10 full runs/month. Great for weekly publishing (4 runs/month = 384 credits).
Core plan (10,000 cr/mo, $12): ~104 full runs — that's daily publishing with credits to spare.
Pro plan (10,000+ cr/mo, $21): Same, plus priority execution and full-text log search for debugging.
Cost per content package: On Core 10k plan = $12/104 runs = ~$0.12 per full 14-piece content package. This is extraordinary ROI.
The biggest credit consumers are Iterator modules. When an Iterator splits an array of 3 items, every downstream module runs 3× — so a single DALL-E module after an iterator for 3 Pinterest images = 3 credits, not 1. Plan your iterators carefully and batch API calls before splitting arrays where possible. The estimates above already account for this correctly.
?utm_source=tiktok&utm_medium=social&utm_campaign={{slug}}. Track exactly which platform drives the most blog traffic in Google Analytics.Running this daily on the Core plan ($12/month): you publish 365 blog posts, 1,095 TikToks, 1,095 Pinterest pins, 1,095 Instagram posts, 365 YouTube video scripts, and 1,095 YouTube Shorts scripts per year — for $12/month in Make credits plus your AI API costs (~$3–5 per run in OpenAI/Claude/ElevenLabs charges). Total infrastructure cost: under $200/month for a content operation that would cost $10,000+/month with human creators.