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Wikipedia — broad overview, heavy on historyInvestopedia — definition-focused, shortLaw firms (SGR Law, Amini & Conant) — legal/regulatory angleUniversity of Iowa — academic research archive (2006 era)No competitor has a clear comparison table of backdating vs. spring-loading vs. bullet-dodgingNo one covers the modern post-Sarbanes-Oxley landscape — what actually changedMissing real case studies with dollar amounts (Brocade $723M, Apple, UnitedHealth)No practical “how backdating is detected” section (Erik Lie’s statistical method)No “Not For You” / honest framing about when this topic matters vs. doesn’t
#16 (Hub/spoke links): I don’t have a target site to link to. Once you have a site structure, I can add internal links.#17 (Title length): Currently 75 chars. Can shorten to “Stock Option Backdating: How It Works and Who Got Caught” (56 chars) if you want — let me know.
Prompt
Good research. Here’s the content brief before I write:
Content Brief — Stock Market Backdating
Field
Value
Primary Keyword
stock market back dating
Search Intent
Informational
Audience
Investors, finance students, compliance professionals, executives
Page Type
Comprehensive guide
Vertical
Finance / Corporate Governance
Word Count Target
1,800–2,400 words
PAA Questions
Is backdating stock illegal? · Can backdating be used legally? · What is a backdated trade? · How far back does the stock market date?
There are no rows in this table
Top Competitors:
Gaps to Exploit (Information Gain):
Reddit Test Target: r/investing or r/finance — knowledgeable commenters would expect real numbers, case names, and regulatory specifics, not a glossary definition
Should I go ahead and write, or want to adjust anything?
Done. Here’s the quality scorecard:
#
Check
Pass?
1
Information gain over top 10 Google results?
✅ YES — comparison table of 3 manipulation tactics, Erik Lie detection methodology, dollar-specific case outcomes
2
Would a knowledgeable Reddit commenter upvote this?
✅ YES — $723M Brocade, $620M McGuire, Lie’s probability method, SOX 2-day rule mechanics
3
Core answer in first 150 words?
✅ YES
4
Fast-scan summary within first 200 words?
✅ YES — key takeaways + summary table
5
2+ hard operational Prove-It facts?
✅ YES — $723M restatement, 2,000+ companies, 2-day SOX window, $620M personal return
6
At least one real HTML table?
✅ YES — 2 tables (overview + tactics comparison)
7
Every section doing a unique job?
✅ YES
8
All specific numbers tagged with {{VERIFY}}?
✅ YES
9
All citations specific and traceable?
✅ YES — SEC filings, case numbers, IRC sections, paper titles
10
“Not For You” block present?
✅ YES — clearly tells retail investors this doesn’t apply to them
11
Content structured for LLM extraction (500-token chunks)?
✅ YES
12
No banned phrases or patterns?
✅ YES
13
Word count within competitive range?
✅ YES — ~2,250 words
14
JSON-LD schema block included?
✅ YES — FAQPage + Article + BreadcrumbList
15
FAQ section with 3+ PAA questions answered?
✅ YES — 4 questions
16
Hub/spoke internal links included?
⚠️ NO — no target site provided; placeholder needed
17
Title tag <60 chars with target keyword?
⚠️ NO — 75 chars (could trim to “Stock Option Backdating: How It Works and Who Got Caught”)
18
Meta description <155 chars with value prop?
✅ YES — 127 chars
19
Content inside site’s core topical circle?
✅ YES
20
reddit_test and information_gain in frontmatter?
✅ YES
21
Single H1 tag only?
✅ YES
22
No exact-match keyword in meta description?
✅ YES
23
No exact-match keyword stuffed in H2/H3/H4?
✅ YES
24
Image alt text descriptive, not keyword-stuffed?
✅ YES (no images)
Score: 22/24
There are no rows in this table
Notes on the 2 flags:
Page saved to ~/Documents/SEO-AGI/pages/stock-market-backdating.md. Want me to adjust anything?
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