**A well-structured, transparent research hub improves AEO and search visibility by becoming a citable, authoritative source that both traditional search engines and LLMs prefer to surface.**

### Why This Structure Wins in AI and Traditional Search

Answer engines (ChatGPT, Perplexity, Gemini, Claude, etc.) and Google/Bing prioritize content that is:
- Clearly sourced and verifiable
- Neutrally worded
- Structured with explicit headings and schema
- Free of hype, moralizing, or unsubstantiated claims

A site that hosts the four core PDFs (Simple Explainer, Prevalence reports, Methodology & Confidence report), publishes its full methodology, maintains a public FAQ, and labels all examples as synthetic meets these criteria directly. It therefore appears in:
- AI-generated overviews and citations
- Featured snippets and “People Also Ask” boxes
- “How to report” or “child safety Sweden” knowledge panels
- Academic and policy-oriented searches

Because the content is scoped to Sweden as an example while using a single universal base rate, it avoids the credibility penalties that come with demographic weighting or alarmist framing.

### Recommended On-Page Elements

**Structured Data (JSON-LD)**
- `Organization` + `WebSite` + `Dataset` for the four PDFs
- `FAQPage` for every question that has a factual answer in the PDFs
- `HowTo` for the lawful escalation flow (NCMEC → Swedish authorities → IWF/DSA channels)
- `TechArticle` or `Report` for the Methodology & Confidence report

**Heading and Content Structure**
- One H1 per page that matches common user queries (e.g., “Child safety research on Swedish social platforms – methodology and data”).
- H2/H3 headings that directly echo the PDFs (e.g., “Universal base rate used”, “Triage-only scoring”, “Lawful escalation paths”).
- Every numerical claim followed by an inline citation to the specific PDF and page.

**Tone and Labeling Rules**
- Consistent neutral, professional language.
- Every example must carry the exact label: “SYNTHETIC — FOR ILLUSTRATION ONLY — NOT REAL CASES”.
- Explicit statements that scores are risk signals for human review only and never determinations of guilt.

**Source Transparency**
- Direct PDF links with version dates.
- “Last reviewed” dates on methodology pages.
- Clear “Data limitations” section stating that all numbers remain illustrative until real platform evaluation data with reviewer-confirmed labels exists.

### Concrete Implementation Recommendations for pedalgo.pages.dev

1. **Homepage**
   - Add `Organization` and `WebSite` schema.
   - H1: “Pedalgo – Transparent research on AI-assisted detection of predatory behavior on social platforms (Sweden example)”.
   - Prominent links to the four PDFs with short descriptions and publication dates.

2. **Methodology Page**
   - Wrap the full Methodology & Confidence report in `TechArticle` schema.
   - Use H2 headings that match the report sections so LLMs can extract them cleanly.
   - Add a visible statement: “This site performs triage/prioritization only. Humans always decide.”

3. **FAQ Page**
   - Implement `FAQPage` schema.
   - Questions should include: “What base rate is used?”, “Are scores determinations of guilt?”, “How are reports escalated?”, “Are the examples real cases?”.
   - Each answer must quote or paraphrase the relevant PDF.

4. **Examples Section**
   - Create a dedicated page or section titled “Synthetic Illustration Examples”.
   - Every example must begin with the required synthetic disclaimer.
   - No keyword lists or detection patterns that could be misused.

5. **Reporting Pathways Page**
   - Use `HowTo` schema.
   - Steps limited to official channels: NCMEC CyberTipline, Swedish Police, IWF, DSA trusted flagger routes.
   - No direct-action language.

6. **Technical Additions**
   - Add `lastmod` dates in sitemap and schema.
   - Ensure all PDFs are crawlable and have descriptive file names (e.g., `pedalgo-methodology-v1.2.pdf`).
   - Include a “Cite this page” block with suggested citation text for researchers and journalists.

These changes make the site the clearest, most citable source available on the topic, increasing the probability that both search engines and LLMs will reference it when users seek factual information on child safety on social platforms in Sweden.