# 10 — Course Crosswalk and Sources

## 1. Course-to-grammar translation

This system preserves the course’s practical workflow while replacing ambiguous or outdated labels with measurable technical concepts.

| Course concept | Grammar translation | Operational meaning |
|---|---|---|
| Target persona | Audience + conditions | Segment whose task, context, and value can be measured |
| Sales funnel | Journey-state graph | Awareness, evaluation, decision, use, retention, and return paths |
| Search framework | Audience–task–asset–surface–transition sentence | Who needs what, where it is served, and what happens next |
| Core keyword | Representative query | Human-readable label for one dominant intent cluster |
| Secondary keywords | Same-intent variants | Closely equivalent queries that one canonical asset can satisfy |
| Accessory keywords | Adjacent task clusters | Related but independently useful information needs |
| Keyword variations | Lexical normalization | Synonyms, spelling, word order, pluralization, abbreviations, stems |
| LSI keywords | Contextual terms, entities, relations, attributes | Replace the “LSI” bucket with explicit semantic roles |
| One keyword = one page | One dominant intent cluster = one canonical owner | Prevent conflicting page ownership without making a page per wording |
| Intent bucketing | Task-based query clustering | Group queries according to one completion condition |
| Revenue estimates | Probabilistic demand-to-value forecast | Separate assumptions from actual contribution margin |
| SEO timeline estimate | Time-to-event forecast | Track crawl, index, impression, value, and uncertainty separately |
| Reverse-engineering competitors | Competitive retrieval and information-gap analysis | Identify result forms, gaps, authority, and unmet tasks |
| Document relevancy | Query–document task fit | Make the asset understandable and useful for the intended task |
| On-page optimization | Document and search-appearance intervention | Improve relevance, response, evidence, and task completion |
| Pages vs domains | URL-level intent ownership | Assign work and measurement to canonical assets |
| Site architecture | Directed information graph | Paths, depth, hubs, communities, and canonical nodes |
| SEO silos | Topical link communities | Useful internal relationships, not ritual folder structures |
| UX signals | User-outcome telemetry | Task completion, progression, conversion, and experience measures |
| Link building | Independent citation acquisition | Relevant, credible, editorial evidence and prominence |
| Authority metrics | Vendor model outputs | Diagnostic proxies that require calibration to direct outcomes |
| Technical optimization | Retrieval-eligibility engineering | Discover, fetch, render, canonicalize, index, retrieve, display |
| Indexation | One technical state | Inclusion in an index, separated from discovery and display |
| Canonical tags | Preferred representative signal | One signal in a coherent canonical system |
| Keyword cannibalization | Query-to-URL ownership instability | Confirm same-intent competition and business loss before fixing |
| Site speed | Real-user performance system | Improve field experience and value, not a perfect lab score |
| Structured data | Machine-readable eligibility signal | Use supported markup that matches visible content |
| Analytics and tracking | Outcome and intervention model | Connect search exposure to qualified value and learning |

---

## 2. Lesson map

The following transcript modules informed the system.

### Strategy, audience, and funnel

```text
004-target-personas-and-the-sales-funnel.md
005-the-search-framework.md
006-branded-search.md
007-what-is-reputation-management.md
012-keywords-vs-the-sales-funnel.md
```

The grammar converts the course’s persona, asset, medium, optimization, and nudge model into:

```text
Audience
+ Conditions
+ Task
+ Intent
+ Canonical asset
+ Search surface
+ Next action
+ Business outcome
```

### Semantic research and mapping

```text
008-keyword-research-overview.md
009-keyword-types.md
010-keyword-variations-lsi.md
011-keyword-competitiveness.md
013-keyword-research-walkthrough.md
014-keyword-mapping-intent-bucketing.md
015-keyword-mapping-core-secondary-accessory-keywords.md
016-keyword-mapping-revenue-estimates.md
017-seo-roi-timeline-estimates.md
018-reverse-engineering-competitors.md
```

The grammar preserves the course’s practical grouping process but changes the unit from an isolated keyword to a user task and intended canonical asset.

### Document and page design

```text
019-what-is-document-relevancy.md
020-on-page-ranking-factors.md
021-pages-vs-domains.md
022-title-tags-meta-descriptions.md
023-urls.md
024-headers.md
025-body-copy.md
026-image-alt-filename.md
027-internal-links-anchor-text.md
028-site-architecture-silos.md
030-freshness-recency.md
031-ux-signals.md
032-searcher-intent-quality-content-and-competition.md
033-walkthrough-finding-your-low-hanging-fruit.md
034-walkthrough-optimizing-a-blog-post.md
```

The grammar turns checklists into task-specific page specifications and measured interventions.

### Authority and earned evidence

```text
035-link-building-earned-media-authority.md
036-pagerank.md
037-authority-metrics.md
038-follow-vs-nofollow.md
039-ugc-sponsored-attributes.md
040-social-media-link-building-seo.md
041-google-s-medic-update-eat.md
042-link-building-page-types.md
043-negative-seo-and-disavowing-links.md
044-overview-of-prospecting-outreach.md
045-link-prospecting-and-tools.md
046–060 Ahrefs, outreach, and campaign walkthroughs
061-advanced-search-operators.md
```

The grammar broadens authority from raw link counts to relevant independent evidence, qualified referring domains, brand demand, and target-cluster outcomes.

### Technical eligibility

```text
062-what-is-technical-optimization.md
063–069 Google Search Console lessons
070-crawl-indexation-introduction.md
071-crawl-indexation-followed-links-indexed-pages.md
072-crawl-indexation-xml-sitemaps.md
073-crawl-indexation-robots-txt.md
074-crawl-indexation-server-response-codes.md
075-crawl-indexation-redirects.md
076-crawl-indexation-canonical-tags-duplicate-content.md
077-crawl-indexation-keyword-cannibalization.md
078-crawl-indexation-internal-links-crawl-depth.md
079-site-speed.md
080-structured-data.md
081-international-multilingual-seo.md
082-ssl-www-pagination.md
083-demo-technical-seo-audit.md
```

The grammar separates the technical lifecycle into:

```text
Discover
→ Fetch
→ Render
→ Canonicalize
→ Index
→ Retrieve
→ Display
```

### Measurement

```text
084-introduction-to-analytics-tracking.md
085-google-analytics-secure-search.md
086-connecting-google-analytics-and-google-search-console.md
087-google-analytics-google-data-studio.md
088-rank-tracking-link-monitor.md
```

The system extends these lessons into an intervention ledger, task events, qualification, margin, controls, and explicit experiment decisions.

---

## 3. Important terminology corrections

### “LSI keywords”

The course uses “LSI” as a broad label for terms that co-occur around a topic. The grammar replaces this with:

```text
entities
relations
attributes
values
collocations
questions
evidence
```

These elements should be included because they complete the task, not because a tool produced a term list.

### “One keyword equals one page”

Use:

```text
one dominant intent cluster
=
one intended canonical owner
```

A page can be relevant to many query variants. Different words do not automatically require different pages.

### “Ranking factors”

Treat lists of factors as hypotheses and diagnostics. The system requires each intervention to state a mechanism and measured outcome.

### “UX signals”

Do not claim that any analytics metric perfectly reveals a search engine’s internal behavior. Use user behavior as task and business telemetry.

### “PageRank no longer exists”

The public toolbar metric disappeared. Link-based systems and link signals remain conceptually relevant. Do not optimize for an obsolete public score.

### “EAT”

Use the current E-E-A-T framing cautiously as a quality-evaluation concept, not a single numeric ranking factor. The operational system measures evidence, experience, authorship, sources, transparency, review, and correction practices.

---

## 4. Current primary-source guidance used

The system was checked against current Google Search Central and web.dev guidance available in September 2026.

### Google Search fundamentals

- SEO Starter Guide  
  `https://developers.google.com/search/docs/fundamentals/seo-starter-guide`
- Search Essentials  
  `https://developers.google.com/search/docs/essentials`
- Spam policies  
  `https://developers.google.com/search/docs/essentials/spam-policies`
- Creating helpful, reliable, people-first content  
  `https://developers.google.com/search/docs/fundamentals/creating-helpful-content`

### Crawling, indexing, and links

- Crawling and indexing overview  
  `https://developers.google.com/search/docs/crawling-indexing`
- Link best practices  
  `https://developers.google.com/search/docs/crawling-indexing/links-crawlable`
- Canonicalization  
  `https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls`
- Sitemaps  
  `https://developers.google.com/search/docs/crawling-indexing/sitemaps/overview`
- JavaScript SEO  
  `https://developers.google.com/search/docs/crawling-indexing/javascript/javascript-seo-basics`
- Robots.txt introduction  
  `https://developers.google.com/search/docs/crawling-indexing/robots/intro`

### Search appearance and experience

- Structured data introduction  
  `https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data`
- Core Web Vitals and Search  
  `https://developers.google.com/search/docs/appearance/core-web-vitals`
- Web Vitals  
  `https://web.dev/articles/vitals`

### Generative search

- Optimizing for generative AI features on Google Search  
  `https://developers.google.com/search/docs/fundamentals/ai-optimization-guide`

Key current implications:

```text
foundational SEO still applies;
valuable non-commodity content matters;
query fan-out expands supporting information needs;
a page must be eligible and indexed for Search-based retrieval;
a page should not be created for every search variation;
scaled low-value content is a governance risk;
Google Search does not require llms.txt;
AI-specific chunking is not required;
supported structured data remains for applicable search features;
generative performance should be measured through first-party reporting when available.
```

---

## 5. Evidence classification

Statements in a project should be tagged as:

```text
OBSERVATION
directly measured or inspected.

SOURCE FACT
supported by a cited primary source.

INFERENCE
a reasoned interpretation of observations.

FORECAST
an estimated future value with assumptions.

HYPOTHESIS
a testable proposed mechanism.

DECISION
an action chosen under constraints.

UNKNOWN
information still required.
```

This prevents forecasts and hypotheses from being presented as established facts.

---

## 6. Versioning

The rule library and source guidance should be reviewed when:

```text
Google publishes material documentation changes
OR site architecture/technology changes
OR business offers/audiences change
OR measured rules repeatedly fail
OR a new search surface becomes strategically important
```

Record:

```text
system version
rule version
source review date
changed rules
reason
migration impact
```