Elmo

Scoring Methodology

65+ Ranking Factors Across 4 Evaluation Categories

Elmo scores websites across 65 factors that influence both traditional search rankings and AI-generated recommendations. Each category is scored independently and contributes to the overall grade.

Technical SEO
22 factors

Foundational crawl, index, and structure signals that affect discoverability.

Performance
6 factors

Speed and UX signals tied to ranking, crawl efficiency, and user trust.

Content Quality
15 factors

Signals that indicate expertise, usefulness, and intent match for human readers.

AI Search
22 factors

Signals that influence how LLM-powered systems interpret, cite, and recommend your brand.

Technical SEO
22 factors
Foundational crawl, index, and structure signals that affect discoverability.
  1. 1. Crawl accessibility

    Checks whether search bots can access key templates and important paths.

  2. 2. Indexability controls

    Validates noindex, canonical, and robots directives for correctness.

  3. 3. XML sitemap quality

    Audits sitemap freshness, status codes, and alignment with indexable URLs.

  4. 4. Robots.txt policy

    Reviews robots rules for accidental blocking and poor crawl prioritization.

  5. 5. HTTP status integrity

    Flags broken pages, soft 404s, and status code mismatches.

  6. 6. Redirect hygiene

    Detects redirect chains, loops, and unnecessary temporary redirects.

  7. 7. HTTPS enforcement

    Confirms secure protocol usage and canonical consistency between variants.

  8. 8. Canonical architecture

    Verifies duplicate pages resolve to intended canonical URLs.

  9. 9. URL readability

    Scores slug clarity, stability, and avoidance of noisy parameters.

  10. 10. Internal link depth

    Measures how many clicks core pages are from the homepage.

  11. 11. Orphan page detection

    Finds pages with no internal links pointing to them.

  12. 12. Duplicate content control

    Identifies pages with highly overlapping copy and mixed canonical targets.

  13. 13. Title tag coverage

    Checks uniqueness, intent alignment, and title length.

  14. 14. Meta description quality

    Evaluates presence, relevance, and rewrite risk in snippets.

  15. 15. Heading structure

    Audits H1-H3 hierarchy and semantic section clarity.

  16. 16. Image alt coverage

    Reviews descriptive alt attributes for accessibility and context.

  17. 17. Structured data presence

    Measures schema type coverage for business and content entities.

  18. 18. Breadcrumb markup

    Validates breadcrumb navigation and BreadcrumbList schema consistency.

  19. 19. Pagination handling

    Checks paginated collections for crawl traps and weak signals.

  20. 20. Hreflang readiness

    Audits multilingual annotations when international variants exist.

  21. 21. Thin page risk

    Flags pages with low unique value or low informational depth.

  22. 22. Business identity consistency

    Checks NAP and brand identity consistency in core pages and markup.

Performance
6 factors
Speed and UX signals tied to ranking, crawl efficiency, and user trust.
  1. 1. Largest Contentful Paint (LCP)

    Measures how quickly primary page content becomes visible.

  2. 2. Cumulative Layout Shift (CLS)

    Tracks visual stability and layout jumps during load.

  3. 3. Interaction to Next Paint (INP)

    Evaluates responsiveness for taps, clicks, and keyboard input.

  4. 4. Time to First Byte (TTFB)

    Assesses backend response latency and server-side bottlenecks.

  5. 5. Caching and compression

    Checks gzip/brotli usage and cache-control strategy for static assets.

  6. 6. Mobile rendering quality

    Verifies responsive behavior and viewport reliability on mobile devices.

Content Quality
15 factors
Signals that indicate expertise, usefulness, and intent match for human readers.
  1. 1. Search intent alignment

    Measures how directly the page answers likely query intent.

  2. 2. Topical depth

    Checks whether pages cover core subtopics and practical specifics.

  3. 3. Content freshness

    Looks for update cadence and outdated references in critical pages.

  4. 4. Original insight

    Rewards first-party data, examples, and unique framing.

  5. 5. Factual consistency

    Flags contradictory claims and unclear positioning statements.

  6. 6. Expertise signals

    Evaluates visible qualifications, credentials, and domain knowledge.

  7. 7. Author transparency

    Checks authorship clarity, bios, and editorial accountability.

  8. 8. Readability and structure

    Scores scannability using headings, lists, and clear paragraph flow.

  9. 9. Entity completeness

    Measures explicit mention of products, services, industries, and locations.

  10. 10. Keyword targeting clarity

    Assesses primary and secondary phrase focus without stuffing.

  11. 11. Supporting internal links

    Checks contextual links that reinforce topic clusters.

  12. 12. Conversion clarity

    Evaluates CTA specificity and alignment with page purpose.

  13. 13. Local relevance

    Reviews local context signals when geography matters.

  14. 14. FAQ usefulness

    Measures quality and coverage of practical question-answer content.

  15. 15. Trust reinforcement

    Checks testimonials, proof points, and policy transparency.

A-D Grading Method
Category scores roll up into a weighted composite, then map to a final letter grade for prioritization.

Grade A

85-100

Strong performance with minor refinements needed.

Eligible for AI and search visibility gains with focused optimization.

Grade B

70-84

Solid baseline with notable improvement opportunities.

Good discoverability, but consistency and depth gaps limit upside.

Grade C

55-69

Mixed quality with meaningful weaknesses across categories.

Inconsistent performance and reduced citation/recommendation confidence.

Grade D

0-54

Critical issues impacting visibility and trust.

Requires foundational technical and content remediation before scaling.

Scores are designed for execution, not vanity. Recommendations are prioritized by impact, confidence, and implementation effort so teams can improve visibility in the shortest practical timeline.