Seo Sxo

Search Experience Optimization (SXO)

SXO bridges the gap between SEO (what Google rewards) and UX (what users need). Traditional SEO audits check technical health. SXO asks: "Does this page deserve to rank for this keyword based on what Google is actually rewarding in the SERP?"

Core Insight

A page can score 95/100 on technical SEO and still fail to rank because it is the wrong page type for the keyword. If Google shows 8 product pages and 2 comparison pages for your keyword, your blog post will never break through -- no matter how well-optimized it is.

Commands

Execution Pipeline

Step 1: Target Acquisition

1. Fetch the target URL via scripts/render_page.py --mode auto (SPA-aware and SSRF-safe) 2. Parse with scripts/parse_html.py to extract: title, H1, meta description, headings hierarchy, word count, schema markup, CTAs, media elements 3. If no keyword provided, extract primary keyword from title tag + H1 overlap 4. Validate keyword is non-empty before proceeding

Step 2: SERP Backwards Analysis

Read references/page-type-taxonomy.md for classification rules.

1. Search Google for the target keyword (WebSearch) 2. For each of the top 10 organic results, record:

• URL and domain authority tier (brand / niche authority / unknown)
• Page type (classify using taxonomy)
• Content format (long-form, listicle, how-to, comparison, tool, video)
• Word count estimate (from snippet length and page structure)
• Schema types present (from SERP features: ratings, FAQ, HowTo)
• Media signals (video carousel, image pack, thumbnail presence)

3. Record SERP features present:

• Featured snippet (paragraph / list / table / video)
• People Also Ask (extract all visible questions)
• Ads (top and bottom -- count and analyze ad copy themes)
• Related searches (extract all)
• Knowledge panel / local pack / shopping results
• AI Overview presence and source types

4. Calculate SERP consensus:

• Dominant page type (>60% = strong consensus, 40-60% = mixed, <40% = fragmented)
• Content depth expectations (average word count tier)
• Schema expectation (most common structured data types)
• Media expectations (video required? images critical?)

Step 3: Page-Type Mismatch Detection

This is the core SXO insight. Compare target page type against SERP consensus.

Mismatch severity levels:

Classification rules:

• Classify target page using references/page-type-taxonomy.md
• Classify each SERP result using the same taxonomy
• Flag mismatch if target type differs from SERP dominant type
• If SERP is fragmented (no dominant type), note opportunity for differentiation

Step 4: User Story Derivation

Read references/user-story-framework.md for the full framework.

From SERP signals, derive user stories:

1. PAA questions reveal knowledge gaps and concerns 2. Ad copy themes reveal commercial triggers and value propositions 3. Related searches reveal the search journey (what comes before/after) 4. Featured snippet format reveals the expected answer structure 5. AI Overview reveals what Google considers the definitive answer

For each signal cluster, generate a user story:

As a [persona derived from signal],
I want to [goal derived from query intent],
because [emotional driver from ad copy / PAA tone],
but I'm blocked by [barrier derived from PAA questions / related searches].

Generate 3-5 user stories covering the primary intent angles.

Step 5: Gap Analysis

Compare the target page against SERP expectations across 7 dimensions:

Total: 0-100 SXO Gap Score (lower = larger gap, higher = better alignment)

Step 6: Persona-Based Scoring

Read references/persona-scoring.md for methodology.

1. Derive 4-7 personas from SERP intent signals:

• Cluster PAA questions by theme
• Segment ad copy by target audience
• Map related searches to journey stages

2. For each persona, score the target page on 4 dimensions (25 pts each):

• Relevance: Does the page address this persona's need?
• Clarity: Can this persona find their answer within 10 seconds?
• Trust: Are there adequate trust signals for this persona?
• Action: Is there a clear next step for this persona?

3. Output persona cards with scores and specific improvement recommendations 4. Sort recommendations by weakest persona first (biggest opportunity)

Step 7: Wireframe Generation (Optional)

Only execute when /seo sxo wireframe is invoked.

Read references/wireframe-templates.md for templates.

1. Generate IST (current state) wireframe from parsed page structure 2. Generate SOLL (target state) wireframe based on:

• SERP consensus page type
• Gap analysis findings
• Persona scoring weaknesses

3. Use ultra-concrete placeholders:

• NOT: "Add a CTA here"
• YES: "Add pricing CTA with annual savings badge below hero, linking to /pricing#enterprise"

4. Output as semantic HTML section outline with annotations

DataForSEO Integration

If DataForSEO MCP tools are available:

1. Before any API call, run cost estimate and confirm with user 2. Use google_organic_serp for precise SERP data (positions, features, snippets) 3. Use keyword_data for search volume and competition metrics 4. Fall back to WebSearch if DataForSEO unavailable -- note reduced precision in output

SXO Score vs SEO Health Score

The SXO score is separate from the main SEO Health Score.

• SEO Health Score = technical compliance (crawlability, speed, schema, etc.)
• SXO Gap Score = alignment between page and SERP expectations
• A page can score 95 SEO + 30 SXO = technically perfect but strategically misaligned
• Both scores should be reported together when both are available

Cross-Skill References

Output Format

Full SXO Analysis

## SXO Analysis: [URL]
### Target Keyword: [keyword]

### 1. SERP Landscape
- Dominant page type: [type] ([confidence]% consensus)
- SERP features: [list]
- Content depth norm: [word count range]
- Schema expectation: [types]

### 2. Page-Type Alignment
- Your page type: [type]
- SERP expects: [type]
- Verdict: [ALIGNED | MISMATCH (severity)]
- Impact: [explanation]

### 3. User Stories (derived from SERP signals)
[3-5 user stories with source signals]

### 4. Gap Analysis (SXO Score: XX/100)
[7-dimension breakdown table]

### 5. Persona Scores
[4-7 persona cards with 4-dimension scores]

### 6. Priority Actions
[Ranked list: fix mismatch first, then weakest persona gaps]

### 7. Limitations
[What could not be assessed, data source notes]

Error Handling

Quality Checklist

Before delivering results, verify:

• [ ] Target URL was fetched via scripts/render_page.py --mode auto (not raw curl/fetch)
• [ ] Page type classification uses taxonomy from references
• [ ] At least 5 SERP results were analyzed
• [ ] User stories cite specific SERP signals as evidence
• [ ] Persona scores include concrete improvement suggestions
• [ ] SXO score is clearly labeled as separate from SEO Health Score
• [ ] Limitations section is present and honest
• [ ] Cross-skill recommendations are included where relevant

Page Type Taxonomy for SERP Classification

Classify every page -- both the target URL and each SERP result -- into exactly one of these 8 types. When signals overlap, choose the type with the strongest primary signal match.

---

1. Landing Page

Primary signals: hero section with single value proposition, prominent CTA (sign up / get started / book demo), pricing section or pricing link, testimonials or social proof badges, minimal navigation (reduced header links).

SERP indicators (top 10): branded queries, high ad density at top, sitelinks pointing to /pricing or /features, title tags with "| Product Name".

Content structure: Hero > Social proof > Features (3-5) > How it works > Pricing > CTA repeat > FAQ.

Required elements: Primary CTA above fold, trust badges, at least one testimonial, WebSite or SoftwareApplication schema.

Common mismatches:

• Blog Post targeting landing-page keywords (severity: CRITICAL)
• Service Page missing CTA focus (severity: HIGH)

---

2. Blog Post

Primary signals: author byline, publish date, article body > 800 words, comment section or social share buttons, breadcrumb with /blog/ segment, related posts section.

SERP indicators (top 10): featured snippets (paragraph or list), PAA boxes with 4+ questions, diverse domains in results, dates visible in snippets, low ad density.

Content structure: Title > Author + Date > Introduction > H2 sections > Images/Examples > Conclusion > Author bio.

Required elements: Article or BlogPosting schema, author entity, datePublished, dateModified, at least 1 image with descriptive alt text.

Common mismatches:

• Product Page targeting informational keyword (severity: HIGH)
• Landing Page targeting how-to keyword (severity: CRITICAL)

---

3. Product Page

Primary signals: price displayed, add-to-cart or buy button, product images (multiple angles), specifications/features list, customer reviews with star ratings, SKU or product identifiers.

SERP indicators (top 10): shopping results / product carousel, rich snippets with price + availability + ratings, merchant names in titles, "buy" or "shop" in title tags.

Content structure: Product title > Images > Price + CTA > Description > Specs > Reviews > Related products.

Required elements: Product schema (name, price, availability, review), high-quality images, clear pricing, purchase CTA.

Common mismatches:

• Blog Post targeting product keyword (severity: CRITICAL)
• Comparison Page when user wants to buy (severity: MEDIUM)

---

4. Hybrid (Service + Content)

Primary signals: educational content sections mixed with CTAs, feature explanations with "learn more" and "get started" side by side, common in SaaS, both /blog/ and /product/ internal links in navigation.

SERP indicators (top 10): mix of branded and informational results, some results with FAQ schema + others with SoftwareApplication schema, moderate ad density.

Content structure: Problem statement > Solution overview > How it works > Feature deep-dives > Social proof > CTA > FAQ.

Required elements: FAQPage or HowTo schema combined with product schema, both educational and commercial CTAs, clear value proposition.

Common mismatches:

• Pure Blog Post missing product integration (severity: HIGH)
• Pure Landing Page missing educational depth (severity: MEDIUM)

---

5. Service Page

Primary signals: service descriptions with methodology/process, case studies or portfolio, "our process" or "how we work" sections, team credentials, contact form or consultation CTA, industry-specific terminology.

SERP indicators (top 10): local pack presence, "near me" related searches, results from agency/firm domains, title tags with "[Service] | [Company]", moderate PAA questions about process/cost.

Content structure: Service overview > Benefits > Process/Methodology > Case studies > Team > Pricing/Packages > Contact CTA.

Required elements: Service or ProfessionalService schema, clear process description, at least one case study or testimonial, contact mechanism.

Common mismatches:

• Blog Post targeting service keyword (severity: HIGH)
• Product Page for custom/consultative services (severity: MEDIUM)

---

6. Comparison Page

Primary signals: "vs" or "versus" in title/URL, feature comparison matrix or table, pros/cons lists, side-by-side layout, "best [X] for [use case]" framing, multiple products reviewed.

SERP indicators (top 10): "vs" queries in related searches, multiple PAA about alternatives, results from review sites (G2, Capterra, TrustRadius), listicle-style titles ("10 Best..."), affiliate disclosures.

Content structure: Introduction > Comparison criteria > Feature matrix > Individual reviews > Verdict/Recommendation > FAQ.

Required elements: Comparison table with clear criteria, pros/cons for each option, clear recommendation or "best for" segmentation, ItemList or Table schema.

Common mismatches:

• Single Product Page when user wants comparison (severity: HIGH)
• Blog Post without structured comparison (severity: HIGH)

---

7. Local Page

Primary signals: physical address displayed, Google Maps embed, NAP (Name, Address, Phone) in consistent format, service area description, directions or "visit us" section, location-specific content.

SERP indicators (top 10): local pack (map + 3 listings), "near me" in related searches, Google Business Profile cards, location in title tags, results from local directories (Yelp, BBB).

Content structure: Business name + location > Services at this location > Map + directions > Hours > Reviews > Local content > Contact.

Required elements: LocalBusiness schema (correct subtype), full NAP, geo coordinates, openingHoursSpecification, embedded map.

Common mismatches:

• Generic Service Page missing local signals (severity: HIGH)
• Blog Post targeting "[service] in [city]" (severity: CRITICAL)

---

8. Tool / Interactive

Primary signals: input fields, calculator or generator interface, interactive elements (sliders, dropdowns, toggles), results output area, utility-first design with minimal marketing copy, "free [tool name]" in title.

SERP indicators (top 10): tool/calculator results in SERP, "calculator" or "generator" or "checker" in related searches, results from tool-first sites, minimal PAA (users want to DO, not READ).

Content structure: Tool interface (above fold) > Brief instructions > Tool output > Supporting content below > FAQ > Related tools.

Required elements: WebApplication or SoftwareApplication schema, functional tool above fold, clear input/output flow, no login wall for basic functionality.

Common mismatches:

• Blog Post about topic where users want a tool (severity: CRITICAL)
• Landing Page without interactive element (severity: HIGH)

---

Classification Priority

When a page shows signals for multiple types, use this priority:

1. If interactive tool is present and functional: Tool 2. If physical address + map: Local (unless tool is primary) 3. If comparison table + "vs" framing: Comparison 4. If price + buy button: Product 5. If CTA-heavy + minimal navigation: Landing Page 6. If service process + case studies: Service Page 7. If educational + CTA mix: Hybrid 8. Default: Blog Post

Persona-Based Scoring Methodology

Score the target page from the perspective of each derived persona. This reveals which audience segments the page serves well and which it fails.

---

Persona Derivation

Derive 4-7 personas from SERP intent signals. Do not invent personas without evidence -- every persona must trace back to a signal cluster.

Sources for Persona Derivation

Persona Card Format

For each persona, document:

**[Persona Name]** -- [one-line description]
- Role: [job title or situation]
- Goal: [what they want to accomplish]
- Emotional state: [from user-story-framework.md]
- Journey stage: Awareness | Consideration | Decision
- Key questions: [2-3 questions this persona needs answered]
- SERP evidence: [specific signals that generated this persona]

---

4-Dimension Scoring Rubric

Score each persona on 4 dimensions. Maximum 25 points each, 100 total per persona.

Dimension 1: Relevance (0-25)

Does the page address this persona's specific need?

Scoring signals: keyword alignment with persona goal, presence of persona-relevant sections (e.g., "for small businesses" section for SMB persona), depth of coverage for persona-specific use cases.

Dimension 2: Clarity (0-25)

Can this persona find their answer within 10 seconds?

Scoring signals: heading clarity for persona's question, scan-ability (bullets, tables, bold key terms), table of contents or jump links, information hierarchy matching persona priority.

Dimension 3: Trust (0-25)

Does the page provide adequate trust signals for this persona?

Scoring signals: testimonials from similar users/companies, relevant credentials or certifications, security badges (for risk-averse personas), case studies matching persona's industry or size, author expertise signals.

Dimension 4: Action (0-25)

Is there a clear next step for this persona?

Scoring signals: CTA relevance to journey stage (awareness = "learn more", decision = "buy now"), friction level (free trial vs sales call), CTA placement relative to persona-relevant content, alternative paths for different readiness levels.

---

Score Interpretation

---

Aggregation and Prioritization

Weighted Average

Not all personas are equally important. Weight by estimated search volume share:

• If SERP shows 70% informational intent, weight informational personas higher
• If ads dominate, weight commercial personas higher
• If local pack present, weight local personas higher

Priority Ranking

Sort improvement recommendations by:

1. Weakest persona with highest search volume weight = biggest opportunity 2. Lowest-scoring dimension across all personas = systemic issue 3. Critical mismatch personas = fundamental page-type problem

Output Format

## Persona Scores for [URL]

| Persona | Relevance | Clarity | Trust | Action | Total | Rating |
|---------|-----------|---------|-------|--------|-------|--------|
| [Name] | XX/25 | XX/25 | XX/25 | XX/25 | XX/100 | [Rating] |
| ... | ... | ... | ... | ... | ... | ... |

### Weakest Persona: [Name] (XX/100)
**Top issue:** [specific problem]
**Recommended fix:** [concrete action with page-level detail]

### Systemic Issues
- [dimension]: [pattern across all personas]

### Priority Actions
1. [Action targeting weakest persona]
2. [Action targeting systemic issue]
3. [Action targeting next weakest persona]

---

Validation Rules

• [ ] Every persona traces to specific SERP signals (no invented personas)
• [ ] Scores include specific evidence from the page (not just numbers)
• [ ] Recommendations are concrete (section names, CTA text, placement)
• [ ] At least 4 personas scored, no more than 7
• [ ] Weakest persona is addressed first in recommendations
• [ ] Score interpretation uses the standard ranges above

User Story Framework: SERP Signals to User Intent

Derive user stories from observable SERP signals. Every story must cite the specific signal that generated it -- no guessing.

---

Signal Sources

1. People Also Ask (PAA)

PAA questions reveal knowledge gaps and concerns the searcher has.

• Cluster PAA by theme: definitional ("what is"), procedural ("how to"),

evaluative ("is X worth it"), comparative ("X vs Y"), risk ("is X safe")

• Each cluster maps to a distinct persona or journey stage
• Definitional PAA = awareness stage, evaluative PAA = consideration,

comparative PAA = decision stage

2. Ad Copy

Ads reveal commercial triggers and objection handling that convert.

• Extract recurring themes across all visible ads (top + bottom)
• Common patterns: free trial emphasis (barrier: commitment), trusted-by counts

(barrier: trust), price anchoring (barrier: cost), speed claims (barrier: time)

• If no ads appear, the keyword is likely informational -- commercial intent is low

3. Related Searches

Related searches reveal the search journey -- what comes before and after.

• Searches with added qualifiers (+ "for beginners", + "pricing") = narrowing
• Searches with removed qualifiers = broadening / pivoting
• "[keyword] alternatives" = dissatisfaction signal
• "[keyword] vs [competitor]" = active comparison stage
• "[keyword] reviews" = trust-seeking before purchase

4. Featured Snippets

The snippet format reveals the expected answer structure.

• Paragraph snippet = user wants a concise definition or explanation
• List snippet = user wants steps or ranked items
• Table snippet = user wants structured comparison data
• Video snippet = user wants visual demonstration
• No snippet = Google uncertain about best format (opportunity)

5. AI Overview

AI Overview reveals what Google considers the authoritative synthesis.

• Sources cited = authority signals Google trusts for this topic
• Answer structure = the format Google believes best serves the query
• If target page is not cited = content does not match Google's synthesis model

---

User Story Format

As a [persona],
I want to [goal],
because [emotional driver],
but I'm blocked by [barrier].

Persona Derivation

Derive from signal clusters, not assumptions:

• PAA cluster about cost/pricing = Budget-Conscious Buyer
• PAA cluster about setup/implementation = Technical Evaluator
• Ads emphasizing trust/security = Risk-Averse Decision Maker
• Related searches with "for small business" = SMB Owner
• Related searches with "enterprise" = Enterprise Buyer

Emotional States

Map SERP signals to emotional states:

Barrier Types

---

Example Derivation

Keyword: "project management software"

Observed signals:

• PAA: "Is Monday.com better than Asana?", "What is the cheapest project management tool?", "Do I need project management software for a small team?"
• Ads: "Free forever plan", "Trusted by 150,000 teams", "Set up in 5 minutes"
• Related: "project management software for small business", "free project management tools", "Asana vs Monday vs ClickUp"
• Featured snippet: list of tools with brief descriptions

Derived user stories:

1. As a small business owner, I want to find affordable PM software, because I need to organize my growing team, but I'm blocked by price sensitivity and fear of paying for features I won't use. (Source: PAA "cheapest", related "small business", ads "free forever")

2. As a team lead evaluating tools, I want to compare the top 3 options side by side, because my boss asked for a recommendation, but I'm blocked by comparison fatigue from too many similar-looking options. (Source: related "Asana vs Monday vs ClickUp", PAA "is Monday better than Asana")

3. As a non-technical manager, I want software that works immediately without training, because I can't afford downtime during migration, but I'm blocked by technical confusion about setup complexity. (Source: ads "set up in 5 minutes", PAA "do I need PM software for small team")

---

Story Quality Checklist

• [ ] Every story cites at least one specific SERP signal
• [ ] Persona name reflects the signal source, not assumptions
• [ ] Emotional driver is grounded in observable SERP tone
• [ ] Barrier is specific enough to suggest a page-level fix
• [ ] 3-5 stories cover the primary intent angles (no duplicates)
• [ ] Stories span at least 2 journey stages (awareness, consideration, decision)

Wireframe Templates: IST/SOLL Patterns

Generate before (IST) and after (SOLL) wireframes showing what the page currently looks like vs what it should look like based on SERP expectations.

Core Principles

1. Ultra-concrete placeholders: Not "add CTA" but "add pricing CTA with annual savings badge below hero, linking to /pricing#enterprise" 2. Mobile-first: Assume 375px viewport first; above-the-fold (~600px) must contain the most critical element for the page type 3. Semantic HTML: Output as section outline with HTML5 elements

IST Generation

Parse the current page and map to this structure:

IST: [URL]
├── ABOVE FOLD
│   ├── [element]: "[actual content]"
│   └── [element]: "[actual content]"
├── MAIN CONTENT
│   ├── [section]: "[summary]" (~XXX words)
│   └── [section]: "[summary]" (~XXX words)
├── SUPPORTING
│   └── [element]: "[description]"
└── FOOTER — [elements present]

Missing from SERP expectations:
- [element]: [why it matters]

SOLL Templates by Page Type

1. Landing Page

<header> Nav: logo + 3-4 links max + primary CTA button </header>
<section class="hero">
  H1: [value proposition matching target keyword]
  Subhead: [supporting benefit] | CTA: [primary action]
  Trust line: "Trusted by [X] companies including [logos]"
</section>
<section class="social-proof"> 3-5 logo badges + key metric </section>
<section class="features"> 3 blocks: icon + H3 + 2-line desc (address PAA) </section>
<section class="how-it-works"> 3-step process with numbered icons </section>
<section class="testimonial"> Quote + photo + name + title + company </section>
<section class="pricing"> 2-3 tiers, recommended highlighted, annual toggle </section>
<section class="faq"> 5-7 PAA questions, FAQPage schema </section>
<section class="final-cta"> Repeat hero CTA with urgency </section>

2. Blog Post

<article>
  <header> H1 | Author + photo + credentials | Date + Updated | Reading time </header>
  <nav class="toc"> Jump links to H2 sections </nav>
  <section class="intro"> Hook + thesis + TL;DR box (above fold) </section>
  <section> H2: [cluster 1] — address PAA #1 </section>
  <section> H2: [cluster 2] — address PAA #2 </section>
  <section> H2: [cluster 3] — comparison table if SERP warrants </section>
  <section> H2: [cluster 4] — image/diagram </section>
  <section class="expert-quote"> Blockquote from SME (E-E-A-T) </section>
  <section> H2: FAQ — remaining PAA questions </section>
  <footer> Author bio | Related posts (3) | CTA: newsletter </footer>
</article>

3. Product Page

<section class="product-hero">
  H1: [product + benefit keyword] | Gallery: 4-6 images
  Price + savings indicator | CTA: "Add to Cart" (above fold)
  Trust: stars + review count + shipping
</section>
<section class="key-features"> 4-6 bullets: feature + benefit </section>
<section class="specifications"> Table: specs, dimensions, compatibility </section>
<section class="reviews"> aggregateRating + 5 reviews, filterable </section>
<section class="comparison"> "Why choose this" table (if SERP shows intent) </section>
<section class="faq"> Product PAA questions </section>
<section class="related"> 4 complementary products </section>

4. Comparison Page

<header>
  H1: "[A] vs [B]: [year] Comparison"
  Quick verdict: "Best for [use case]: [winner]"
</header>
<section class="matrix"> Feature table: check/cross/partial icons </section>
<section class="reviews">
  H2: [A] — pros, cons, best for, pricing
  H2: [B] — pros, cons, best for, pricing
</section>
<section class="verdict"> Persona recs: "Choose A if...", "Choose B if..." </section>
<section class="faq"> Comparison PAA questions </section>

5. Service Page

<section class="hero"> H1: [service + location] | CTA: "Free Consultation" </section>
<section class="problem"> Empathy-driven problem statement </section>
<section class="process"> 3-5 numbered steps </section>
<section class="results"> 2-3 case studies with before/after metrics </section>
<section class="credentials"> Certs, experience, team </section>
<section class="pricing"> Packages or "starting at" </section>
<section class="faq"> PAA questions </section>
<section class="cta"> Repeat CTA + contact form </section>

6. Local Page

<section class="hero">
  H1: [service] in [city] — [business name]
  CTA: "Call Now" + "Get Directions" | NAP displayed
</section>
<section class="map"> Google Map embed + landmark directions </section>
<section class="services"> Location-specific services (unique content) </section>
<section class="reviews"> Review widget with reviewer locations </section>
<section class="hours"> openingHoursSpecification + "open now" </section>
<section class="about"> Team, history, community (location-specific) </section>

7. Tool / Interactive

<section class="tool" id="tool">
  H1: Free [Tool Name] — [purpose]
  Input: [fields/dropdowns/upload] (ABOVE FOLD)
  CTA: "Calculate" / "Generate" / "Check" | Output zone
</section>
<section class="instructions"> How to Use — 3 steps max </section>
<section class="explanation"> Educational depth for SEO </section>
<section class="faq"> Tool-specific PAA </section>
<section class="related-tools"> 3-4 related tools </section>

8. Hybrid (Education + Product)

<section class="hero">
  H1: [education + product keyword] | Dual CTA: "Learn More" + "Try Free"
</section>
<section class="education"> Address awareness-stage PAA </section>
<section class="solution"> Bridge: how [Product] solves this </section>
<section class="features"> 3-4 benefit-framed features </section>
<section class="proof"> Case study or testimonial </section>
<section class="cta"> Match journey stage from SERP analysis </section>
<section class="faq"> Mix of educational + product PAA </section>

Placeholder Rules

When filling SOLL placeholders, always be specific: