Hook-clip battery for Reels and TikTok
The agent studies which video hooks actually win in your category, writes four openers in your voice, and generates the two strongest as vertical clips.
The runnable library - every mission with the prompt, the steps and what comes back. 176 posts, page 5 of 8.
The agent studies which video hooks actually win in your category, writes four openers in your voice, and generates the two strongest as vertical clips.
A 30-day social calendar with post ideas, copy, and hashtags - and the image for every post already generated, linked row by row in Google Sheets.
One mission produces the entire launch kit - hero, feed square, story, OG image, and an 8-second teaser clip - saved to Drive and posted to #launches.
The agent reads your five competitors' live ads, isolates three angles nobody owns, and delivers six finished images with hooks and copy in Notion.
An intent-matched LinkedIn audience built into upload-ready CSVs in Drive, plus three landscape creatives generated to speak to that exact audience's pain.
The five strongest TikTok hooks in your category transcribed and decoded, two counter-hooks scripted in your voice, and both generated as vertical clips.
Meta ads showing fatigue found by their frequency and CTR curves, decoded for what made them work, and two replacement images generated per ad.
Next month's campaigns drafted from evidence with the actual creatives generated - a square and a story image per concept - pushed paused with asset links.
Your Google and Meta accounts checked for CPA spikes, delivery drops, and budget overruns - anything unusual explained and sent to you on WhatsApp.
HubSpot contacts segmented by lifecycle stage and built into platform-ready Meta and Google retargeting CSVs, saved to Drive with a targeting note.
The ten strongest-running TikTok ads in your category, their hooks transcribed and decoded into an angle breakdown, posted to your #creative channel.
Whether Reddit Ads deserves your budget, answered with evidence: buyer subreddits, competitor presence, expected costs, and a starter plan in a Google Doc.
Next month's campaign structure - audiences, angles, budgets - drafted from last month's performance and competitors' live creative, pushed paused for approval.
Your ten highest-spend ads read against the landing pages they point to - every message mismatch and UX leak found, fixes ranked by spend recovered.
Companies showing buying intent on your category, matched to their marketing leaders, formatted as LinkedIn Ads targeting CSVs and saved to Drive.
Thirty days of Google Ads search terms audited for wasted spend, the negative keywords to add, full analysis in Sheets, and the top ten fixes in Slack.
The ads your five competitors run right now across Meta, LinkedIn, and TikTok, grouped by angle and offer in a Notion swipe file with what to test first.
Last month's Google and Meta performance - spend, CPA, ROAS, fatigue, the wins and the leaks - read from the accounts and built into a Gamma deck.
Compile the quarter's AI-visibility story - prompts won and lost, competitor citations, citability score - into a Gamma deck emailed to leadership.
Rank the publications AI engines actually cite in your category from live answer tests, then get an outreach CSV with editors and verified emails.
See how AI assistants answer best-service-in-city questions across your three markets, and get the citation plan that puts you in the recommendations.
Rework your ten most-consulted docs pages into answer-extractable references - definitions first, steps as lists, schema - through one pull request.
Find the Reddit threads AI assistants quote in your category, then get value-first draft replies for the five where participation would move answers.
Audit who AI engines cite for every X-vs-Y question in your category, then get a Notion build plan for comparison pages engineered to be quoted.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.