SEO & AI Engine Optimization Framework · May 2026

Knowledge Graph: Wikidata, Wikipedia, and entity authority engineering

A comprehensive installation and audit reference for establishing a business and its key entities in Google's Knowledge Graph, claiming and managing the Knowledge Panel, building reciprocal entity…

Establishing Entities in Google's Knowledge Graph — Wikidata, Wikipedia, and the Entity Web

A comprehensive installation and audit reference for establishing a business and its key entities in Google's Knowledge Graph, claiming and managing the Knowledge Panel, building reciprocal entity reconciliation across the web, and maintaining the entity authority that compounds across rankings, AI engines, and brand search results. This document is dual-purpose: installation manual and audit document.

Cross-stack implementation note: the code samples in this framework are written in plain HTML for clarity. For React, Vue, Svelte, Next.js, Nuxt, SvelteKit, Astro, Hugo, 11ty, Remix, WordPress, Shopify, and Webflow equivalents of every pattern below, see framework-cross-stack-implementation.md. For pure client-rendered SPAs (no SSR/SSG) see framework-react.md. For Tailwind-specific concerns (purge, dynamic classes, dark-mode CLS, focus accessibility) see framework-tailwind.md.

1. Document Purpose & How to Use This Document

1.1 What This Document Is

This is the canonical reference for establishing entities in Google's Knowledge Graph (KG). The Knowledge Graph is Google's database of entities and their relationships — people, places, organizations, products, concepts, events. When Google recognizes an entity in its Knowledge Graph, that recognition manifests as Knowledge Panels in search results, populates AI Overviews, drives entity-based ranking, and feeds the data that LLMs train on.

This framework specifies how to assess current entity recognition status, how to build the foundation for entity recognition (Wikidata being the primary path), how to pursue Wikipedia inclusion when notability supports it, how to claim and optimize the Knowledge Panel when it appears, and how to maintain entity authority over time. It also specifies entity reconciliation — the process by which Google associates external profiles, references, and data points with the canonical entity in its Knowledge Graph.

Entity authority compounds. Every authoritative reference, every Wikidata property added, every Wikipedia mention, every reciprocal external link reinforces Google's confidence in the entity. Conversely, weak or fragmented entity signals leave Google uncertain — and uncertain entities don't get Knowledge Panels, don't rank as authoritatively, and don't get cited by AI engines.

1.2 Three Operating Modes

Mode A — Install Mode: Building entity recognition from scratch or adding to existing presence. Follow Sections 2 → 14.

Mode B — Audit Mode: Evaluating existing Knowledge Graph status. Skip to Section 11.

Mode C — Hybrid Mode: Audit then install for gaps.

1.3 How Claude Code CLI Should Consume This Document

  1. Read Section 2 — collect client variables, especially existing entity references
  2. Read Section 3 — understand the Knowledge Graph and entity ecosystem
  3. Run Section 4 — assess current entity recognition status
  4. Install Sections 5-9 — Wikidata first, then external reconciliation, then Wikipedia if notable, then Knowledge Panel claim
  5. Validate — Section 11
  6. Generate report — Section 14

1.4 Conflict Resolution Rules

Conflict Rule
Existing Wikidata entry with errors Audit; correct via standard Wikidata editing process. Do not delete and recreate.
Existing Wikipedia article with errors Use talk page to discuss; let community editors handle changes. Don't edit your own entry.
Multiple Wikidata entries for same entity Use merge process; flag for review by Wikidata community.
Knowledge Panel showing wrong information Suggest edit through Knowledge Panel suggest-edit feature.
Entity name conflict with existing notable entity Disambiguate clearly; never try to claim someone else's entity.

1.5 Required Tools

2. Client Variables Intake

# ============================================
# KNOWLEDGE GRAPH FRAMEWORK CLIENT VARIABLES
# ============================================

# --- Business Entity (REQUIRED) ---
business_name: ""                    # Canonical name as entity
business_alternate_names: []         # All variations
business_legal_name: ""              # If different from canonical
business_type: ""                    # Schema.org type
business_founded_year: ""
business_founder_names: []
business_founder_qids: []            # Wikidata QIDs if exist
business_industry: ""
business_industry_qid: ""            # Wikidata industry classification
business_headquarters_city: ""
business_headquarters_country: ""
business_official_website: ""

# --- Existing Entity Recognition Status (REQUIRED) ---
business_in_knowledge_graph: false   # Use Knowledge Graph Search API to check
business_knowledge_panel_appears: false  # Search business name; does panel appear?
business_wikidata_qid: ""            # Existing Wikidata entry if any
business_wikipedia_article_exists: false
business_wikipedia_article_url: ""

# --- Founder Entity (REQUIRED) ---
founder_full_name: ""
founder_alternate_names: []
founder_birth_year: ""               # Optional but helps disambiguation
founder_credentials: []
founder_employer_qid: ""             # Wikidata QID for current/founded business
founder_in_knowledge_graph: false
founder_wikidata_qid: ""
founder_wikipedia_article_exists: false

# --- Notability Assessment (REQUIRED for Wikipedia) ---
business_independent_secondary_sources: []  # URLs of substantial coverage in independent publications
business_passes_wikipedia_notability_test: false
founder_independent_secondary_sources: []
founder_passes_wikipedia_notability_test: false

# --- External Profile Inventory (REQUIRED for sameAs reconciliation) ---
business_linkedin_url: ""
business_x_url: ""
business_facebook_url: ""
business_youtube_url: ""
business_github_org_url: ""
business_crunchbase_url: ""
business_bbb_url: ""
business_chamber_of_commerce_url: ""
business_industry_directory_urls: []

founder_linkedin_url: ""
founder_x_url: ""
founder_github_url: ""
founder_huggingface_url: ""
founder_orcid: ""
founder_personal_site_url: ""
founder_other_profile_urls: []

# --- Topical Entity Coverage (RECOMMENDED) ---
primary_topical_entities: []         # Topics covered with topical hub pages
topical_entity_qids: {}              # Existing Wikidata QIDs for major topics

# --- Knowledge Graph Strategy Status (REQUIRED) ---
has_strategy_for_kg_inclusion: false
plans_to_pursue_wikipedia_inclusion: ""  # "yes_now", "yes_when_notable", "no", "uncertain"
plans_to_create_wikidata_entries: false
has_kg_inclusion_timeline: false

# --- Entity Maintenance (REQUIRED ongoing) ---
wikidata_last_reviewed: ""
wikipedia_last_monitored: ""
knowledge_panel_last_audited: ""
external_profile_last_audited: ""

3. What the Knowledge Graph Is

Google's Knowledge Graph is a database of entities and their relationships. Launched in 2012, it powers:

The Knowledge Graph contains hundreds of billions of facts about millions of entities. Most is automatically extracted from sources like Wikipedia, Wikidata, government databases, structured data on websites, and news mining. Some is manually curated.

Entity inclusion in the Knowledge Graph isn't binary — it's confidence-based. Google may have very high confidence in well-established entities (Apple Inc, Albert Einstein, Tokyo) and lower confidence in less-established entities. Confidence determines whether Knowledge Panels appear, how prominently the entity features in results, and how authoritatively the entity is treated in AI Overviews.

Entity confidence comes from:

1. Wikidata presence — Wikidata entries are direct input into Google's Knowledge Graph. A complete, well-cited Wikidata entry is the strongest single signal for entity inclusion.

2. Wikipedia presence — Wikipedia articles flow into Wikidata and are direct sources for Knowledge Panels. Wikipedia coverage is a strong signal but has higher notability requirements than Wikidata.

3. Schema markup with sameAs — Schema on the entity's official website that declares sameAs links to authoritative external profiles helps Google reconcile the entity.

4. Citation by other authoritative sources — When other recognized entities reference this entity, confidence increases.

5. Consistent factual data across sources — When the same facts appear across multiple authoritative sources, confidence increases.

6. Structured data accessibility — Sites that expose entity data via schema, API, or other structured formats are easier to ingest into KG.

The 2026 evolution of the Knowledge Graph is significant. AI engines (ChatGPT, Perplexity, Claude, Gemini) all rely on entity data overlapping with Google's KG. Entities recognized in KG get cited more frequently across AI engines. The Knowledge Graph is no longer just for Google search — it's foundational infrastructure for the entire AI search ecosystem.

For any business or individual seeking to be recognized as an authoritative entity in 2026, Knowledge Graph inclusion is foundational — not optional.

4. Current Entity Recognition Assessment

Before pursuing inclusion, understand current status.

4.1 Knowledge Graph Search API Check

Use Google's Knowledge Graph Search API to check if entities are already recognized:

curl "https://kgsearch.googleapis.com/v1/entities:search?query={{ENTITY_NAME}}&key={{API_KEY}}&limit=10"

The response shows whether Google has the entity, its type, description, and confidence score. If the entity returns:

For this site's primary entities (business, founder, key topics), document current status.

4.2 Knowledge Panel Search Test

In incognito mode, search for the entity name and document:

Test variations:

4.3 Wikidata Direct Search

Search Wikidata directly: wikidata.org/w/index.php?search={{ENTITY_NAME}}

Document:

4.4 Wikipedia Search

Search Wikipedia: en.wikipedia.org/w/index.php?search={{ENTITY_NAME}}

Document:

4.5 External Profile Mapping

Document all existing external profiles for the entity. Each profile is a potential sameAs reconciliation point:

business_external_profiles:
  - platform: "LinkedIn"
    url: ""
    verified: false
    matches_official_data: true
  - platform: "X / Twitter"
    url: ""
    verified: false
    matches_official_data: true
  - platform: "Crunchbase"
    url: ""
    matches_official_data: true
  # ... etc

Identify any profiles with mismatched data (different addresses, different founding dates, etc.). These need correction before reconciliation, or they'll undermine entity confidence.

4.6 Recognition Status Summary

After assessment, classify status:

The implementation path varies by status.

5. Wikidata Implementation (Foundation)

Wikidata is the primary path to Knowledge Graph inclusion. Wikidata has a lower notability bar than Wikipedia and is direct input to Google's Knowledge Graph. Every entity that wants KG inclusion should have a Wikidata entry as foundation.

5.1 Wikidata Notability Requirements

To create a Wikidata entry, the entity must satisfy at least one notability criterion:

  1. Has a Wikipedia article in any language (automatic notability)
  2. Refers to an instance of a clearly identifiable conceptual or material entity (most businesses, people, places qualify)
  3. Fulfills a structural need to make statements about other entities

For most businesses and individuals associated with businesses, criterion 2 applies. Notability bar is essentially: is this a real, identifiable entity that people might reasonably want to make statements about?

5.2 Wikidata Account Setup

Create a Wikidata account at wikidata.org. Use a real account with established edit history if possible — accounts with no history can have edits scrutinized more carefully.

Best practice: declare conflict of interest on user page if creating entry for own business or self.

5.3 Creating the Business Entity

Navigate to wikidata.org/wiki/Special:NewItem.

Required initial fields:

Label — {{business_name}} (canonical form, capitalized correctly)

Description — Concise (under 250 char), defining sentence. Examples:

Aliases — All alternate names. List every legitimate alternate spelling, abbreviation, DBA name.

After creating the basic entry, populate properties.

5.4 Required Wikidata Properties for Businesses

Add these properties (Wikidata uses property IDs like P31, P17 — find each on Wikidata's property documentation):

Property Property ID Value Source
Instance of P31 Type — "business" (Q4830453), "company" (Q783794), or more specific
Country P17 Country (US = Q30)
Headquarters location P159 City Wikidata QID
Founder P112 Person Wikidata QID (create if needed)
Inception P571 Founding date
Industry P452 Industry QID
Official website P856 Domain URL
Logo image P154 Wikimedia Commons file (upload first if not there)
Coordinates P625 Lat/long for physical location

Example of a populated business entry:

Item: Q138610626 (ThatDeveloperGuy)
Label (en): ThatDeveloperGuy
Description (en): Service-Disabled Veteran-Owned web development and SEO firm based in Cassville, Missouri

Statements:
- instance of (P31): business (Q4830453)
- country (P17): United States of America (Q30)
- headquarters location (P159): Cassville (Q...)
- founder (P112): Joseph Anady (Q... if created)
- inception (P571): 2020
- industry (P452): web development (Q386275)
- official website (P856): https://thatdeveloperguy.com
- coordinates (P625): 36.6770° N, 93.8730° W

External Identifiers:
- LinkedIn (P4264): {{linkedin_handle}}
- Crunchbase (P2087): {{crunchbase_id}}

5.5 Required References for Each Property

Every statement should be supported by a reference:

inception (P571): 2020
References:
- stated in: official website (P856) of subject
- reference URL: https://thatdeveloperguy.com/about/
- retrieved: 2026-04-29

Without references, statements can be challenged. With strong references, the entry is robust against editor revisions.

5.6 Creating the Founder Person Entity

Same process for founder. Required Person properties:

Property Property ID Value
Instance of P31 human (Q5)
Country of citizenship P27 Country
Date of birth P569 If notable; can omit for privacy
Place of birth P19 If notable
Occupation P106 Occupation QIDs
Employer P108 Business QID (the entity created above)
Educated at P69 School QIDs
Field of work P101 Field QIDs
Native language P103 Language QID
Official website P856 Personal site if exists

External Identifier properties for founder:

Identifier Property ID
LinkedIn personal profile P6634
GitHub username P2037
Hugging Face username P9100
ORCID iD P496
X (Twitter) username P2002

5.7 Topical Entity Wikidata Entries

For unique topical entities the site is the authority on (specific frameworks, methods, tools the site has created), create Wikidata entries. Most general topics already have entries.

For example, if the site has authored a specific framework called "SDVOSB Engine Optimization Methodology," that could be a Wikidata entity:

Item: Q... (SDVOSB Engine Optimization Methodology)
Label (en): SDVOSB Engine Optimization Methodology
Description (en): A 14-tier framework for search engine and AI engine optimization developed by Joseph Anady at ThatDeveloperGuy

Statements:
- instance of (P31): methodology (Q1799072)
- developed by (P178): Joseph Anady (Q...)
- subclass of (P279): search engine optimization (Q180711)
- depicts (P180): 14-tier framework

5.8 Cross-Linking via External Identifiers

Wikidata's external identifier properties allow direct linking to authoritative external databases. Add as many as apply:

For businesses:

For people:

External identifiers strengthen entity reconciliation — they tell systems unambiguously that this Wikidata entity is the same entity as in those external sources.

5.9 Wikimedia Commons Logo Upload

Upload the business logo to Wikimedia Commons:

  1. Visit commons.wikimedia.org/wiki/Special:UploadWizard
  2. Confirm copyright (logo must be licensed permissively or be your own work you license)
  3. Upload with descriptive filename: ThatDeveloperGuy-logo.svg
  4. Add to Wikidata entry as logo image (P154)

The logo is then available for use in Knowledge Panels and other systems.

5.10 Patience for Wikidata Propagation

After creating Wikidata entries, allow time for propagation:

Don't expect immediate Knowledge Panel from Wikidata alone. Wikidata is foundational; other signals build on it.

6. External Reconciliation Strategy

Beyond Wikidata, build the network of references that reinforce entity recognition.

6.1 Schema sameAs on Official Website

The official website's Organization and Person schema must include sameAs links to all authoritative external profiles AND to the Wikidata entry:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://{{domain}}/#organization",
  "name": "{{business_name}}",
  "sameAs": [
    "https://www.wikidata.org/wiki/{{business_qid}}",
    "https://en.wikipedia.org/wiki/{{business_wiki_slug}}",
    "{{linkedin_company_url}}",
    "{{x_company_url}}",
    "{{facebook_url}}",
    "{{crunchbase_url}}",
    "{{bbb_url}}",
    "{{youtube_channel_url}}",
    "{{github_org_url}}",
    "{{industry_directory_urls}}"
  ]
}
</script>

This declares: "All these URLs refer to the same entity." Google uses this for entity reconciliation.

6.2 Reciprocal sameAs from External Profiles

Where possible, add the website URL to external profiles so reconciliation is bidirectional:

Some platforms allow rel="me" markup for verified mutual claiming. Where supported (Mastodon, personal sites), use rel="me" to formally declare the relationship.

6.3 Authority-Building Profile Coverage

Build presence on platforms that contribute to entity authority:

For businesses:

For founders:

6.4 Industry-Specific Authoritative Listings

Each industry has authoritative directories Google trusts:

Listing on these sources contributes to entity authority and provides additional sameAs targets.

6.5 Earned Media Coverage

When the entity is featured in articles, news, or industry publications, ensure:

Inconsistencies across earned media weaken entity confidence. Reach out to publications to correct factual errors when they appear.

6.6 Press Kit With Canonical Entity Data

Maintain a press kit at /press/ with canonical entity facts:

Make it easy for journalists to use correct facts. Inconsistent facts in earned media create entity confusion that takes time to resolve.

7. Wikipedia Strategy

Wikipedia has a higher notability bar than Wikidata. Don't pursue Wikipedia until notability is genuinely demonstrable.

7.1 Wikipedia Notability Test

Wikipedia's notability requirement: "significant coverage in independent reliable secondary sources."

Tests:

For most businesses, Wikipedia notability requires:

For most individuals, similar tests but framed around the person's accomplishments, work, recognition.

If notability is genuinely there, Wikipedia inclusion follows. If it's not, attempting to create a Wikipedia article will result in deletion, often with administrative rebuke that makes future attempts harder.

7.2 Don't Create Your Own Wikipedia Article

Wikipedia has strong policies against creating articles about yourself or your business (conflict of interest). Articles created by COI editors are flagged, scrutinized, often deleted.

Better path:

  1. Build genuine notability over time
  2. Wait for organic article creation by an independent editor
  3. If asked, provide factual support to editors but don't draft the article

7.3 If You Must Create a Wikipedia Article

If notability is genuinely strong and no organic editor is creating an article, the legitimate path:

  1. Disclose conflict of interest on user page
  2. Use Articles for Creation process (en.wikipedia.org/wiki/Wikipedia:Articles_for_creation) rather than direct creation
  3. Submit through draft review by uninvolved editors
  4. Accept their feedback and revisions

The article must:

7.4 Maintaining the Wikipedia Article

Once created, monitor the article but don't edit it directly:

Inappropriate editing of own Wikipedia article causes:

7.5 What Wikipedia Inclusion Adds

When/if Wikipedia article exists:

Wikipedia is force-multiplying for entity authority. But it must be earned, not engineered.

8. Knowledge Panel Claiming

Once an entity has Knowledge Graph recognition, claim the Knowledge Panel for control.

8.1 Verifying Eligibility

Knowledge Panels can be claimed when:

To check if a Knowledge Panel exists for your entity, search the entity name in Google. The panel appears on the right side (desktop) or below results (mobile).

8.2 Claiming Process

If a Knowledge Panel exists:

  1. Click "Claim this knowledge panel" link in the panel (typically at bottom)
  2. Sign in with Google account
  3. Verify ownership through one of:
    • Authorized social profile (verified Twitter/X, official LinkedIn, etc.)
    • YouTube channel
    • Official Twitter/X account
    • Other verified Google service
  4. Wait for Google review (typically days to weeks)

Once claimed, you can:

8.3 Maintaining the Knowledge Panel

After claiming:

8.4 What If No Knowledge Panel Exists

If no Knowledge Panel exists despite Wikidata presence and external profile coverage, possible reasons:

Continue building entity signals: more authoritative external profiles, more earned media, more consistent factual data across sources, possibly Wikipedia inclusion if notability allows. Knowledge Panel typically follows when entity confidence reaches threshold.

9. Topical Entity Strategy

Beyond business and founder entities, topical entities matter.

9.1 Major Topic Wikidata Entries

Most major topics (web development, SEO, AI, etc.) already have Wikidata entries. Reference them in your content schema:

<script type="application/ld+json">
{
  "@type": "Article",
  "about": [
    {
      "@type": "Thing",
      "name": "Search engine optimization",
      "sameAs": "https://www.wikidata.org/wiki/Q180711"
    }
  ]
}
</script>

Topical hub pages similarly use the Wikidata QID for their primary topic.

9.2 Custom Methodology Entities

If the site has authored unique methodologies, frameworks, or tools, create Wikidata entries for them. See Section 5.7.

9.3 Person-Topic Affinity

Connect people entities to topical entities via Wikidata:

For founder entry, add:

This declares topical authority in Wikidata, which compounds with on-site knowsAbout schema.

10. Common Mistakes & Anti-Patterns

10.1 Self-Created Wikipedia Article

Anti-pattern: Creating own Wikipedia article without notability.

Why it fails: Almost certainly deleted. Editor account sanctioned. Future legitimate attempts harder.

Fix: Build notability first. Use Wikidata in the meantime. Wait for organic Wikipedia creation.

10.2 Inconsistent Entity Names Across Sources

Anti-pattern: "ThatDeveloperGuy" on website, "That Developer Guy LLC" on LinkedIn, "TDG Inc" on Crunchbase.

Why it fails: Google can't reconcile these as the same entity. Entity confidence stays low.

Fix: Pick canonical name. Use consistently everywhere. Document acceptable variations as alternateName only.

10.3 Wikidata Without References

Anti-pattern: Wikidata entry created with statements but no supporting references.

Why it fails: Entry is fragile; community editors may revise or remove unsupported statements.

Fix: Cite sources for every statement.

10.4 No Schema sameAs

Anti-pattern: Site has Wikidata entry, but Organization schema doesn't include sameAs link to Wikidata.

Why it fails: Google has to reconcile via other means; loses easy direct signal.

Fix: sameAs link to Wikidata in all relevant schema.

10.5 Sparse External Profile Coverage

Anti-pattern: Only website and one social profile. Nothing else.

Why it fails: Entity reconciliation needs multiple signals. Sparse coverage means low confidence.

Fix: Build coverage on 8-15 authoritative platforms.

10.6 Outdated Wikidata Information

Anti-pattern: Wikidata entry created years ago, never updated. Address has changed, founder roles changed, founding date inaccurate.

Why it fails: Inconsistent data across sources weakens entity confidence.

Fix: Quarterly Wikidata review; keep current.

10.7 Edit Warring on Wikipedia

Anti-pattern: Repeatedly editing your own Wikipedia article to add favorable content.

Why it fails: Article flagged for COI review. Editor account sanctioned. Trust damaged.

Fix: Use Talk page to suggest changes. Provide sources. Let community editors decide.

10.8 Knowledge Panel Errors Ignored

Anti-pattern: Knowledge Panel showing wrong information, no action taken.

Why it fails: Wrong information at the most prominent position in search results. Long-term reputation damage.

Fix: Claim panel; suggest corrections; provide source documentation for corrections.

10.9 Multiple Wikidata Entries for Same Entity

Anti-pattern: Creating new Wikidata entry without checking if one already exists, resulting in duplicates.

Why it fails: Confusion. Statements split across entries. Reconciliation issues.

Fix: Search before creating. If duplicates exist, use Wikidata's merge process.

10.10 Trying to Game Knowledge Graph

Anti-pattern: Creating fake Wikipedia citations, manipulating Wikidata, fabricating earned media to inflate entity authority.

Why it fails: Detection by Wikipedia community is high. Wikidata has data quality processes. Fabricated earned media is detectable. Caught manipulation = catastrophic reputation damage.

Fix: Build genuine entity authority through real work, real notability, real recognition.

11. Audit Mode

11.1 Knowledge Graph Status Audit

# Criterion Pass/Fail
KG1 Business entity recognized in Knowledge Graph (KG Search API)
KG2 Founder entity recognized in Knowledge Graph
KG3 Wikidata entry exists for business with 8+ properties
KG4 Wikidata entry exists for founder with 6+ properties
KG5 Wikidata entries have references for all major statements
KG6 Schema sameAs on website includes Wikidata link
KG7 Schema sameAs includes 8+ external profiles
KG8 External profile data is consistent (NAP, dates, etc.)
KG9 Knowledge Panel appears for business name search
KG10 Knowledge Panel claimed (if appears)
KG11 Knowledge Panel information accurate (if appears)
KG12 Wikipedia article exists and accurate (if notability supports)
KG13 Major topical entities referenced via Wikidata QIDs in schema
KG14 Custom methodology entities created in Wikidata where applicable
KG15 Press kit maintained with canonical entity facts

Score: 15. World-class KG status: 13+/15.

11.2 Entity Authority Strength Score

For each primary entity (business, founder, key topics), score:

Signal Strong (3) Moderate (2) Weak (1) Absent (0)
Wikidata presence Complete entry with 12+ properties Basic entry Minimal entry None
Wikipedia presence Substantial article Brief article Mention only None
Schema declaration Full declaration with sameAs Partial Minimal None
External profile coverage 12+ authoritative profiles 8-11 4-7 <4
Earned media Multiple substantive coverage Some coverage Minimal None
Industry recognition Awards, certifications, memberships Some Few None
Knowledge Panel Claimed and accurate Appears unclaimed Appears with errors Doesn't appear

Per entity: 21 max. Strong entity: 18+/21.

12. Maintenance Schedule

12.1 Monthly

12.2 Quarterly

12.3 Annually

12.4 Event-Driven

13. Cross-Reference to the 14-Tier Framework

Knowledge Graph implementation touches:

14. Implementation/Audit Report Templates

14.1 Implementation Report Template

# Knowledge Graph Implementation Report

**Site**: {{BUSINESS_NAME}}
**Implementation Date**: {{TODAY}}

## Wikidata Entries Created
- Business: {{QID}} — {{COMPLETENESS_PERCENTAGE}}% properties populated
- Founder: {{QID}} — {{COMPLETENESS_PERCENTAGE}}% properties populated
- Custom methodologies: {{LIST_OF_QIDS}}

## External Reconciliation Status
- Schema sameAs links: {{COUNT}}
- External profiles claimed: {{COUNT}}
- NAP consistency: {{PERCENTAGE}}% across all profiles

## Knowledge Panel Status
- Business: {{APPEARS/DOES_NOT_APPEAR}}, {{CLAIMED/UNCLAIMED}}
- Founder: {{APPEARS/DOES_NOT_APPEAR}}, {{CLAIMED/UNCLAIMED}}

## Wikipedia Status
- Notability assessment: {{ASSESSMENT}}
- Action: {{NONE/ARTICLE_CREATED/ARTICLE_AWAITED}}

## Topical Entity Coverage
{{LIST_OF_TOPICS_AND_QIDS}}

## Press Kit Established
{{STATUS}}

## Sign-Off

14.2 Audit Report Template

# Knowledge Graph Audit Report

**Site**: {{BUSINESS_NAME}}
**Audit Date**: {{TODAY}}

## Overall KG Status
{{ESTABLISHED / RECOGNIZED_PARTIAL / MINIMAL / NONE}}

## KG Status Score
{{X}}/15

## Entity Authority Strength
- Business: {{X}}/21
- Founder: {{X}}/21
- Primary topics: {{ASSESSMENT}}

## Wikidata Findings
{{DETAILED_FINDINGS}}

## Wikipedia Findings
{{DETAILED_FINDINGS}}

## External Reconciliation Findings
{{DETAILED_FINDINGS}}

## Knowledge Panel Findings
{{DETAILED_FINDINGS}}

## Critical Failures
{{LIST}}

## Recommended Implementation Order
{{PRIORITIZED_LIST}}

## Sign-Off

End of Framework Document

Document version: 1.0 Last updated: 2026-04-29 Maintained by: ThatDeveloperGuy

Knowledge Graph inclusion is foundational entity authority infrastructure for 2026. Without it, entities operate at a permanent confidence disadvantage in search rankings, AI citations, and brand recognition. With it, every other quality signal compounds — E-E-A-T is stronger when the entity is recognized, content ranks better when its primary entity is authoritative, AI engines cite the entity preferentially.

The work is methodical. Wikidata first. External reconciliation. Wikipedia when notable. Knowledge Panel claim. Then maintain. The compound returns over time are substantial.

Companion documents:

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