Auto Content blog

End-to-end pipeline: trending topic → keyword research → brief → UGC enrichment → human-style draft → visual & link enrichment → SEO + GEO optimization → scored QA report.

Pipeline

[0]   X TREND MONITOR   → auto-run on session start, propose hot keywords
[1]   KEYWORD RESEARCH  → scored, data-backed selection
[2]   CONTENT BRIEF     → outline + keyword map + UGC insertion points
[3]   UGC ENRICHMENT    → mine comments → ready-to-paste blog sections
[4]   DRAFT             → human-style, data-backed, zero AI patterns
[4.5] VISUAL & LINKS    → data charts (matplotlib) + inline hyperlinks on every citation
[5]   SEO + GEO         → on-page checklist + AI-bot-friendly formatting
[6]   QA REPORT         → rubric score + publish verdict

Enter at any stage. Run all stages from scratch. Start at Stage 5 for existing drafts.

Quick commands: - run full pipeline → Stage 0 → Stage 6 - start from stage [N] → enter at any stage - score my draft → Stage 5 → Stage 6 - enrich my draft → Stage 4.5 only (charts + links on existing draft)

Reference files (read when detail is needed): - references/scoring-rubrics.md — all scoring tables (trend, keyword, UGC, SEO, GEO) - references/ai-patterns-blacklist.md — full list of AI phrases to never write - references/output-templates.md — exact output format for each stage - references/example-run.md — real example: keyword "what is liquid staking"

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Inputs

Required: project_spec (.md) + keyword_or_topic Optional: ugc_urls (skip Stage 3 if absent), blog_draft, language (default: English), word_count (default: 1500–2000), tone (default: auto-detect from spec)

If project_spec is missing: stop and ask for it before starting.

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Stage 0 — X Trend Monitor

Run automatically at the start of every new session, before the user says anything.

1. Parse project_spec.md → extract: domain/niche, audience, product themes, competitor names
2. Run web searches (fill in values from spec):
3. site:x.com [domain keyword] -filter:replies
4. [domain keyword] trending twitter 2025
5. [domain keyword] discussion OR debate twitter
6. [competitor name] twitter sentiment 2025
7. crypto twitter trending today
8. [domain keyword] CT crypto twitter discussion
9. Score each topic → see references/scoring-rubrics.md Stage 0
10. Keep top 3. Output Trend Alert before any user message → see references/output-templates.md Stage 0

Fallback if web search off: skip, say "Stage 0 unavailable. Provide a keyword to start Stage 1." Fallback if no trends found: list 3 evergreen topics from spec context.

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Stage 1 — Keyword Research

1. Generate 8–12 seed keywords: head terms, mid-tail, long-tail question variants
2. For each seed, run:
3. google trends [keyword] 2025 → direction
4. site:x.com [keyword] + [keyword] trending twitter 2025 → buzz + debate angle
5. [keyword] search volume 2025 + ubersuggest [keyword] → volume estimate
6. Search [keyword] → extract People Also Ask + Related Searches
7. Score using rubric → see references/scoring-rubrics.md Stage 1
8. Select top 1 = primary, next 5–8 = secondary/LSI. Label volume as [estimated].
9. Ask once: "Do you have an Ahrefs or SEMrush API key?" Use if provided.
10. Output → see references/output-templates.md Stage 1

Edge cases: keyword too broad → suggest 3–5 long-tail alternatives. Doesn't match spec → warn + confirm.

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Stage 2 — Content Brief & Outline

1. Pick flow pattern:
2. Problem → Solution | What → Why → How | Comparison | Journey | Argument
3. Map every long-tail keyword to H2, H3, or FAQ entry. No section without a keyword anchor.
4. Flag UGC insertion points: ← UGC: community counterpoints / ← UGC: case studies / ← UGC: FAQ
5. Output brief + outline → see references/output-templates.md Stage 2
6. Ask: "Does this outline look good?" Wait for confirmation before Stage 3.

FAQ section: minimum 5 entries. Mandatory for GEO.

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Stage 3 — UGC Enrichment

Skip if no ugc_urls. Note "UGC: Missing" in QA report.

Why it matters: Reddit ~21% of Google AI Overview citations. Real UGC = 2–3x AI search visibility. E-E-A-T "Experience" signal = cannot be faked by AI content.

For each URL: 1. web_fetch → extract post body + all comments with engagement metrics - Fallback if login wall: "Paste comment text directly" 2. Quality-score each comment → see references/scoring-rubrics.md Stage 3 3. Classify into 3 categories: - Category A — Counter-Arguments: challenges original post, edge cases, "Yeah but..." → 150–300 word prose paragraph - Category B — Real-World FAQs: direct questions from comments, especially upvoted or repeated → 3–6 Q&A pairs - Category C — Personal Experiences: first-person accounts with specific numbers/outcomes → 2–4 mini case studies, 50–100 words each, paraphrased but never fabricated 4. Viral pattern analysis for comments scoring ≥7: identify top 3 trigger types, output 2 writing tips 5. Map each UGC block to its insertion point from Stage 2 outline 6. Output → see references/output-templates.md Stage 3

Hard rules: never fabricate, never include usernames, never include spam/memes, max 6 FAQs + 4 case studies.

Edge cases: <10 comments → warn "limited data". All score <3 → "No high-value comments, try different URL."

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Stage 4 — Draft Writing

Write full article: follow Stage 2 outline exactly, insert Stage 3 UGC blocks at flagged points.

Before writing: write Meta Title (≤60 chars, primary keyword near front) + Meta Description (≤160 chars, primary keyword + hook)

Intro: specific fact or bold claim opener. Primary keyword within first 100 words. Write featured snippet candidate block (40–60 words, direct definition or numbered steps) — place within first H2.

Body: answer-first each H2 (1–2 sentence direct answer before elaboration). Min 1 data point per major section. Find real stats first: search [topic] statistics 2025. If unavailable: [DATA NEEDED: search "[query]"]. Source format: stat — Source, Year. UGC blocks at exact insertion points.

Data minimum: 3 data points total per article. Never invent statistics.

Paragraphs: 3–4 lines max. Define technical terms inline on first use.

AI patterns: never write any phrase from references/ai-patterns-blacklist.md. If caught: stop, rewrite with fact or direct claim.

Conclusion: synthesize 2–3 takeaways. Do not restate all H2s as bullet points. Specific CTA.

Internal links: suggest 2–3, anchor text uses secondary keywords.

Output format → see references/output-templates.md Stage 4

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Stage 4.5 — Visual & Link Enrichment

Runs automatically after Stage 4 is complete. Cannot be skipped — required for publish-ready output.

Why This Stage Exists

• Data charts are 3× more likely to be cited by AI search engines than the same data in plain text
• Inline hyperlinks on every source citation signal editorial credibility to Google and AI crawlers
• Every unlinked — Source, Year is a missed E-E-A-T trust signal

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Step 1 — Identify Chart Opportunities

Scan the draft for data points that meet at least one of these criteria:

Criterion	Example
Change over time (2+ periods)	"TVL grew from $2B to $8B in 6 months"
Compares 2+ assets or metrics	"Lido APY 3.8% vs solo staking 3.2%"
Inflow / outflow trend	"$1.2B ETF inflows in Q1 2025"
Index or score over time	"Fear & Greed Index: 12/100"
Ratio that changed	"ETH staking ratio: 18% → 27% in 12 months"
3+ data points in a series	Monthly DEX volume figures

Chart types by data shape:

Data type	Chart type
Performance over time	Line chart with fill-under
Inflows / outflows	Bar chart — green positive, red negative
Index or score over time	Bar chart with color-coded zones
Ratio or comparison over time	Line or area chart
Single-point comparison	Horizontal bar or stat callout box

Chart design standards (apply to every chart): - Background: #F7F7F7 (light gray), no heavy gridlines - Primary color: #E8650A (orange, default for crypto/Web3 — adjust to project brand if spec defines one) - Remove top + right spine - Annotate key data points directly on chart (peak, trough, threshold) - Source line at bottom-left: gray italic — Source: [Name] | [Notes] - Font: DejaVu Sans (matplotlib default) - Resolution: 150 DPI minimum - Always generate alt text for every chart

Maximum 6 charts per article. More than 6 slows page load. Excess data points → stat callout boxes instead.

If no qualifying data points found: output a styled stat callout box for that statistic instead of a chart.

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Step 2 — Generate Charts

Use Python + matplotlib. Execute in the computing environment.

For each chart, produce: 1. PNG image embedded in the output 2. Caption (1–2 sentences): Chart [N]: [What it shows]. [Time period]. Sources: [Name]. 3. Alt text string for CMS upload: [Chart type] showing [metric] from [start] to [end]. [Key finding in one sentence].

Place each chart immediately after the paragraph that first introduces its data. Never stack two charts back-to-back without body text between them.

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Step 3 — Convert All Source Citations to Hyperlinks

Scan the entire draft for every inline source citation. Patterns to find:

Pattern	Example
— [Source, Year]	— CoinDesk, Jan 2025
per [Source]	per DeFiLlama
according to [Source]	according to Messari
[Source] reports	Dune Analytics reports
([Source])	(CoinGecko)

For each citation: 1. Run web search: [publication] [topic] [approximate date] 2. Verify URL resolves 3. Replace plain-text source with inline hyperlink — anchor text = source name 4. If exact article not found: link to publication homepage + flag [VERIFY URL] 5. If citation is vague ("analysts say"): flag [SOURCE NEEDED] — never invent a source

Link rules: - Prefer original publisher over aggregators - No paywalled links if a free version exists - All external links: open in new tab in HTML output - Do not add links to unattributed claims

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Step 4 — Output Summary

Append this block to the enriched draft:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
STAGE 4.5 — VISUAL & LINK ENRICHMENT SUMMARY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Charts generated:      [N] / [max 6]
  - Chart 1: [title] → placed after [section name]
  - Chart 2: [title] → placed after [section name]

Source links resolved: [N] / [total citations found]
  - [Source name] → [URL] ✅
  - [Source name] → [URL] ⚠️ [VERIFY URL — linked to homepage]

Unlinked citations flagged: [N]
  - "[claim]" → [SOURCE NEEDED]

Alt text strings:
  Chart 1: "[alt text]"
  Chart 2: "[alt text]"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

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Stage 5 — SEO + GEO Optimization

SEO Checklist

• [ ] Meta title: 50–60 chars, primary keyword near front
• [ ] Meta description: 150–160 chars, primary keyword, hook
• [ ] H1 contains primary keyword (only one H1)
• [ ] H2s use secondary keywords or question variants
• [ ] Primary keyword in first 100 words and in conclusion
• [ ] Keyword density: 1–1.5%
• [ ] Paragraphs ≤4 lines
• [ ] 2+ internal link suggestions (anchor text = secondary keywords)
• [ ] 1–2 external authoritative sources noted
• [ ] Image alt text recommendations (min 2)
• [ ] FAQ present → FAQPage schema | How-to steps → HowTo schema

GEO Rules (apply all 7)

GEO = Generative Engine Optimization. Goal: easy for Perplexity, Google SGE, ChatGPT Search to parse and cite.

1. Answer-first every H2 — 1–2 sentence direct answer before elaboration
2. Explicit entity labeling — full context on first mention, units on all numbers ("3.2% APY"), explicit dates ("as of Q1 2025")
3. FAQ mandatory (min 5) — each answer self-contained, 50–150 words, direct answer first
4. Featured snippet block — 40–60 words, placed within first H2, paragraph OR numbered list (not mixed)
5. Citation-friendly — each factual claim on its own sentence, data formatted number unit — Source, Year, no pronoun ambiguity
6. Secondary keywords in internal link anchor text
7. UGC sections present — confirms E-E-A-T "Experience" signal

GEO output block → see references/output-templates.md Stage 5 Scoring rubric → see references/scoring-rubrics.md Stage 5

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Stage 6 — QA Scoring Report

Score using 100-point rubric → see references/scoring-rubrics.md Stage 6

Thresholds: 85–100 = Publish-ready | 70–84 = Minor fixes | Below 70 = Needs revision

Output format → see references/output-templates.md Stage 6

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Edge Cases

Case	Action
project_spec missing	Stop. Ask for spec before starting.
Keyword too broad	Stop. Suggest 3–5 long-tail alternatives. Wait for choice.
Keyword doesn't match spec	Warn. Ask for confirmation.
Deep technical content	Flag [SME REVIEW]. Never fabricate.
User requests Vietnamese	Switch all output to Vietnamese. Same formats.
Word count <500 or >5000	Warn. Recommend 800–2500.
SEO score below 70	List specific fixes with section references.
Web search unavailable	Skip Stage 0. Flag affected stages. Fall back to training knowledge, label [estimated].
UGC URL behind login wall	Skip URL. Ask: "Paste comment text directly."
No high-value UGC comments	"No high-value comments. Try a different URL."
No ugc_urls provided	Skip Stage 3. Mark UGC = Missing in QA.
Stage 0 finds no trends	List 3 evergreen topics from spec context.
User enters mid-pipeline	Start at appropriate stage. Ask what they have.
Stage 4.5: no chart-worthy data	Output stat callout boxes for all key numbers. Flag: "No time-series or comparison data found — consider adding benchmark data in Stage 4 revision."
Stage 4.5: more than 6 chart-worthy points	Prioritize: (1) comparisons, (2) trends, (3) index scores. Remainder → stat callout boxes.
Stage 4.5: all source URLs paywalled	Link to publisher homepages. Flag every instance [VERIFY URL]. List all in enrichment summary.
Stage 4.5: source article not found	Link to publication homepage + flag [SOURCE NEEDED — could not verify].
Stage 4.5: citation is vague ("analysts say")	Flag [SOURCE NEEDED]. Never invent a source.
Stage 4.5: web search unavailable	Skip link resolution. Flag all citations [HYPERLINK NEEDED — web search off]. Charts still generated from in-draft data.

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Limitations

• Stage 0: simulated X monitoring via web search, not live X API
• Keyword volume: estimated unless user provides API key
• No CMS auto-publishing, no image generation (editorial)
• Stage 4.5 generates data charts from in-draft data via matplotlib — does NOT generate decorative or editorial images
• [VERIFY], [DATA NEEDED], [SOURCE NEEDED], and [VERIFY URL] flags require human review before publishing
• SEO/GEO scores: internal rubric, not third-party tool scores
• UGC mining: public pages only