TikTok Content Engine: 90-Day AI + Data Plan

? Staring at your drafts and wondering how to turn them into real growth?

This post walks small brands and TikTok creators through a practical, 90-day content engine that uses your own performance data plus AI to generate consistent, on-brand ideas, test them fast, and scale what works. The plan is built around a simple loop: Create → Analyze → Iterate → Repeat.

Why this matters

TikTok rewards signals like watch time and completion—not just raw views—so a data-first approach helps you reliably find repeatable formats. citeturn3news2
AI scales idea generation and lets you turn performance patterns into recordable scripts and caption variations faster than manual ideation. citeturn1search0
Tools that connect to your TikTok account can automate data syncs, analysis, and tailored idea generation so you spend less time guessing and more time posting. Ignission is one example of an “intelligent content engine” that connects to TikTok, analyzes past performance, generates tailored ideas, and offers dashboards to iterate on results. citeturn1view0turn0search2

What you’ll get from this plan

A clear 90-day schedule with weekly goals.
A reproducible way to turn past winners into AI-powered idea templates.
Measurement rules (what to track and when to double down).
Safe, practical prompts and hooks you can plug into Ignission or any AI writer.

Quick note on AI and platform rules

TikTok has begun labeling AI-generated content created outside the platform to improve transparency. When using AI to generate scripts or visuals, follow platform guidance on disclosure and authenticity. citeturn0news12

1) Before week 1: 30-minute audit (do this now)

Why: You need a baseline so AI suggestions stay grounded in what your audience already likes.

Do these three things:

Export the last 60–90 days of posts (or sync via a tool that can). Capture: Views, Avg watch time, Completion rate, Likes, Comments, Saves, Shares, and Clicks-to-bio. If you use Ignission it can sync automatically. citeturn1view0
Mark the top 5 posts by watch time and top 5 by comments. These are different signals—watch time = attention; comments = conversation.
Write a 1-line hypothesis for each top performer. Example: “Hook = quick problem/solution; Format = demo; Length = 18s.”

Deliverable: a one-page Google Doc with the exported metrics and five micro-hypotheses.

2) Week 1: Build your idea engine and batch content

Goal: Move from analysis to creation—generate a content bank of 30 recordable ideas.

Steps:

Feed your 5 micro-hypotheses into an AI content prompt (or Ignission’s generator) and ask for 30 variations across three formats (demo, transformation, Q&A). Example prompt below.
Create three hook variations for each idea (hook A = curiosity, B = shock, C = empathy).
Batch record 2–3 videos per idea using the different hooks.

Starter prompt (use in Ignission or your AI):

"Using these format signals: [FORMAT], typical length [LENGTH], and audience [NICHE], generate 5ready-to-record TikTok scripts per format. Each script: 15–45s, 1-line hook, 3 action lines, 1 CTA. Include 2 caption variants and 3 relevant hashtags."

Why batch? Recording while you’re “in” the idea dramatically improves speed and consistency.

3) Weeks 2–4: Measure small, iterate fast (the 3-day test)

Goal: Find winning combinations quickly with low risk.

Process (repeat weekly):

Post the batch across 3 days (1–2 posts/day). Let each video run 48–72 hours.
Track these metrics: Avg watch time, Completion rate, Rewatches, Likes/Views, Comments, Shares, Saves.
Apply this rule: if a video’s completion rate is +30% above your account baseline and watch time is up, mark it as a potential winner.
Run a 3-day follow-up: create 2 variations of the winner (different hook / sound / thumbnail) to validate.

Checklist for winners:

Completion rate beats baseline by at least 20–30%.
Watch time grows (absolute seconds) vs baseline.
Engagement (comments + shares) shows meaningful signals within first 24 hours.

If a winner holds across two tests, convert it into a recurring series.

4) Month 2: Systemize winning formats into templates

Goal: Convert winners into templates you or your team can reuse.

How to template:

Name the template (e.g., "15s Demo — Hook: Problem/Solution").
Store these fields: Hook openers, Visual assets list, Sound choices, 3 CTAs, Caption variants, Best posting times.
For each template, create a one-click “production folder” with shot list and captions so you can batch record 5 videos in one session.

Tools: If you use Ignission, it will capture performance signals and help convert winners into tailored idea lists that follow your templates. This reduces friction between discovery and production. citeturn1view0

5) Month 3: Amplify, optimize, and scale

Goal: Scale your validated series and free up time by automating idea refresh.

Steps:

Double down on your top 2–3 templates: 60% of your posts should use them; 40% can be experimental.
Use AI to generate caption + hashtag variations for each winner so you can A/B test copy quickly.
Consider small paid boosts on 1–2 winners to expand reach and collect new signal data.
Add collaboration: invite a friend, customer, or micro-influencer to recreate the top format for social proof.

Measurement cadence: review weekly; compile monthly dashboards of top templates and their KPIs.

6) Metrics cheat-sheet: What to track and why

Avg Watch Time — strongest signal of attention. Improves the algorithm’s willingness to push your content. citeturn3news2
Completion Rate — shows if your hook + pacing work.
Rewatches — a powerful signal; loops and surprises increase rewatches.
Share Rate — content people send to others often scales beyond your follower base.
Comments / Saves — show conversation and perceived value.
Clicks to Bio / CTR — important for conversion for small brands.

Benchmarks: aim to beat your own baseline. TikTok’s distribution favors relative improvement—if you consistently improve watch time and completion, your reach tends to follow. citeturn2search1

7) Practical prompts & templates (copy/paste)

Hook-focused script (15–30s)

"Write a 20–30s TikTok script for [NICHE]. Start with this hook: '[HOOK]'. Keep under 40 words, add one surprising detail in the middle, end with 'Follow for more [TOPIC] tips.'"

Format-to-idea converter

"Given format [FORMAT], assets [ASSETS], and goal [GOAL], generate 5 video ideas with 1-line hook, 3-shot plan, and 2 caption variants."

Caption A/B bank

"Create 6 caption variants: 2 short curiosity, 2 value-first, 2 CTA-focused. Suggest 3 hashtags per caption (mix of trending, niche, and branded)."

Use these prompts inside Ignission or in your preferred AI tool to create dozens of ready-to-record items in minutes. Ignission specifically packages these prompts and tailors them to your account signals. citeturn1view0

8) Risks, ethics, and transparency

Label AI-generated elements when required. TikTok has moved to label AI-generated content created outside its platform, so disclose when you use external AI for realistic synthetic media. citeturn0news12
Avoid over-automation. Use AI to accelerate ideation and scripting, but keep authenticity in the delivery—your unique voice is the repeatable advantage.
Monitor for hallucinated facts in AI scripts (especially in niche or technical topics) and always fact-check.

9) Two short case examples (how this works in practice)

Creator A — Niche: Pet training (5K followers)

Audit found demos and before/after clips had the best completion rates.
AI generated 14 tailored ideas; creator batch-recorded 10 and tested over two weeks.
Result: two recurring series emerged; posting consistency improved and engagement rose. (Process example inspired by Ignission’s methodology.) citeturn0search0turn1view0

Small Brand B — Niche: Handmade candles (12K followers)

Data showed BTS-making and scent stories had high watch time.
Templates were created ("30s Scent Story"), then 8 videos were produced using 3 hook variants each.
Result: the brand found a repeatable product story format and improved CTR to bio for product pages. (Process example inspired by Ignission’s methodology.) citeturn0search0

10) Ready-to-use 90-day checklist (summary)

Weeks 0–1: Audit + create 30 ideas. (Baseline export + AI generation) Weeks 2–4: Post batches, run 3-day tests, mark winners. Month 2: Turn winners into templates; batch-produce. Month 3: Scale top templates, automate caption/hastag variants, and add small paid boosts.

FAQ (short)

Q: How often should I post? A: Start with 3–5 posts/week and scale up as your production process becomes smoother. Consistency beats sporadic virality.

Q: Do I need Ignission specifically? A: No—this plan is tool-agnostic. But Ignission automates the data sync, analysis, and tailored idea generation which dramatically reduces manual work. If you want to try that automation, Ignission lists a $1 first-month trial on its Starter plan. citeturn0search2

Conclusion

A 90-day content engine built on your own data plus AI removes guesswork and replaces it with a repeatable loop: generate, test, and scale. Start small, measure what matters (watch time & completion), and let AI speed up ideation—not replace your voice.

Ready to make content predictable? Try Ignission's automation to connect your TikTok data, generate tailored ideas, and iterate faster—Starter plans start with a $1 first month trial. citeturn1view0turn0search2

CTA: Try Ignission for $1 and turn your TikTok data into daily, recordable ideas — sign up at https://ignission.io