Geo Platform Optimizer

Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually Use when this capability is needed.

tomevault-io eaeaebf 2 files · 19.3 KB Updated Sep 17, 2026

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GEO Platform Optimizer

Core Insight

Only 11% of domains are cited by BOTH ChatGPT and Google AI Overviews for the same query. Each AI search platform uses different indexes, ranking logic, and source preferences. A page optimized for Google AI Overviews may be invisible to ChatGPT, and vice versa. Platform-specific optimization is not optional — it is the foundation of any serious GEO strategy.

How to Use This Skill

Collect the target URL and the site's primary topic/industry
Run each platform checklist below against the site
Score each platform on the 0-100 rubric
Generate GEO-PLATFORM-OPTIMIZATION.md with per-platform scores, gaps, and action items

Platform 1: Google AI Overviews (AIO)

How AIO Selects Sources

92% of AIO citations come from pages already ranking in the top 10 organic results — traditional SEO is the gateway
However, 47% of citations come from pages ranking below position 5 — AIO has its own selection logic favoring clarity and directness over raw rank
AIO strongly favors pages with clean structure, direct answers, and scannable formatting
Featured snippet optimization has ~70% overlap with AIO optimization
AIO prefers concise, factual, unambiguous answers — hedging and filler reduce citation probability

Optimization Checklist

Question-Based Headings: Use H2/H3 headings phrased as questions matching real user queries. Check Google's "People Also Ask" for the target topic and mirror those exact phrasings.
Direct Answer in First Paragraph: After each question heading, provide a clear 1-2 sentence answer immediately. Then expand with supporting detail. The first sentence should be a standalone citation candidate.
Tables and Structured Comparisons: AIO heavily cites tables. Convert any comparison, pricing, specification, or feature data into HTML tables. Use clear column headers.
Ordered and Unordered Lists: Step-by-step processes should use ordered lists. Feature lists should use unordered lists. AIO extracts these directly.
FAQ Sections: Add a dedicated FAQ section with 5-10 real questions. Use proper H3 headings for each question. While FAQPage schema rich results are restricted to govt/health sites since Aug 2023, the content pattern still helps AIO extraction.
Definitions and Glossary Boxes: For any industry-specific term, provide a clear definition. Format: "[Term] is [concise definition]." AIO frequently cites definitions.
Statistics with Sources: Include specific numbers with attribution. "According to [Source], [statistic]." AIO prefers citeable, specific claims over vague assertions.
Publication Date: Include a visible publication date and last-updated date. AIO deprioritizes undated content for time-sensitive queries.
Author Byline: Display author name with credentials. Link to an author page with bio, credentials, and sameAs links.
Page Depth: Keep target pages within 3 clicks of homepage. AIO rarely cites deep, orphaned content.

Scoring Rubric (0-100)

Criterion	Points	How to Score
Ranks in top 10 for target queries	20	20 if yes, 10 if top 20, 0 if beyond
Question-based headings present	10	2 points per question heading, max 10
Direct answers after headings	15	3 points per direct answer, max 15
Tables present for comparison data	10	10 if tables used appropriately, 5 if partial, 0 if absent
Lists for processes/features	10	10 if present, 5 if partial
FAQ section with 5+ questions	10	10 if 5+, 5 if 1-4, 0 if none
Statistics with citations	10	2 points per cited stat, max 10
Publication/updated date visible	5	5 if both dates, 3 if one, 0 if none
Author byline with credentials	5	5 if full byline, 3 if name only, 0 if none
Clean URL + heading hierarchy	5	5 if H1>H2>H3 clean, 3 if minor issues, 0 if broken

Platform 2: ChatGPT Web Search

How ChatGPT Selects Sources

Uses Bing's search index as its foundation (not Google)
Top citation sources by domain share: Wikipedia (47.9%), Reddit (11.3%), YouTube, major news outlets
ChatGPT heavily weights entity recognition — if your brand exists as a structured entity (Wikipedia, Wikidata, Crunchbase), it is far more likely to be cited
Prefers authoritative, well-established sources over new or niche sites
Longer, more comprehensive articles get cited more often than short pieces
ChatGPT tends to cite the most canonical source for a claim rather than the original

Optimization Checklist

Wikipedia Presence: Check if the brand/person/product has a Wikipedia article. If not, assess notability criteria. If notable, create a draft. If an article exists, ensure it is accurate and current.
Wikidata Entity: Verify the entity exists on Wikidata (wikidata.org). If not, create a Wikidata item with key properties: instance of, official website, social media links, founding date, headquarters location.
Bing Webmaster Tools: Verify the site is registered in Bing Webmaster Tools. Submit sitemap. Check for crawl errors.
Bing Index Coverage: Use site:domain.com on Bing to verify key pages are indexed. Bing may have different indexed pages than Google.
Reddit Authority: Check for brand mentions on Reddit. Identify relevant subreddits. Assess whether the brand participates authentically in discussions.
YouTube Presence: Verify YouTube channel exists with relevant content. Video descriptions should contain full URLs and entity information.
Authoritative Backlinks: ChatGPT/Bing weight .edu, .gov, and major publication backlinks heavily. Audit backlink profile for these sources.
Entity Consistency: Brand name, founding date, leadership, and key facts must be consistent across Wikipedia, Crunchbase, LinkedIn, and the official website.
Comprehensive Content: Pages targeting ChatGPT citation should be 2000+ words with thorough topic coverage. ChatGPT prefers single authoritative sources over combining multiple thin pages.
Clear Attribution: Include "About" sections, company descriptions, and founding stories. ChatGPT uses these for entity grounding.

Scoring Rubric (0-100)

Criterion	Points	How to Score
Wikipedia article exists and is accurate	20	20 if exists, 10 if stub, 0 if none
Wikidata entity with 5+ properties	10	10 if complete, 5 if basic, 0 if none
Bing index coverage of key pages	10	10 if full, 5 if partial, 0 if poor
Reddit brand mentions (positive)	10	10 if active discussions, 5 if mentions, 0 if none
YouTube channel with relevant content	10	10 if active, 5 if present but sparse, 0 if none
Authoritative backlinks (.edu, .gov, press)	15	3 points per authoritative backlink category, max 15
Entity consistency across platforms	10	10 if consistent, 5 if minor discrepancies, 0 if major
Content comprehensiveness (2000+ words)	10	10 if thorough, 5 if adequate, 0 if thin
Bing Webmaster Tools configured	5	5 if verified, 0 if not

Platform 3: Perplexity AI

How Perplexity Selects Sources

Top citation sources: Reddit (46.7%), Wikipedia, YouTube, major publications
Perplexity places the heaviest emphasis on community validation of all AI search platforms
Strongly favors discussion threads where claims are debated, validated, or expanded by multiple participants
Prefers recent content — publication date is a strong ranking signal
Cites multiple sources per answer (typically 5-15), so there is more opportunity for mid-authority sites to appear
Uses its own crawling infrastructure in addition to search APIs

Optimization Checklist

Active Reddit Presence: The brand or its representatives should participate authentically in relevant subreddit discussions. Not promotional — helpful, specific, and community-oriented.
Reddit AMAs and Threads: Encourage or participate in AMAs, detailed discussion threads, and community Q&As. Perplexity treats these as high-signal content.
Forum and Community Presence: Beyond Reddit, check Hacker News, Stack Overflow, Quora, and niche industry forums. Perplexity indexes these heavily.
Discussion-Friendly Content: Publish content that invites discussion — opinion pieces, research findings, contrarian takes, original data. Content that gets shared and debated in communities ranks higher.
Freshness Signals: Publish content with clear dates. Update content regularly. Perplexity deprioritizes stale content more aggressively than other platforms.
Multiple Source Validation: Claims in your content should be supported by other sources. Perplexity cross-references and prefers claims it can verify from multiple origins.
YouTube Video Content: Create video content that Perplexity can reference. Ensure video titles, descriptions, and transcripts contain target information.
Direct, Quotable Passages: Write paragraphs that can stand alone as citations. Each paragraph should make one clear point with supporting evidence.
Original Data and Research: Publish original surveys, benchmarks, case studies, or datasets. Perplexity heavily favors primary sources.
Perplexity Pages: Check if Perplexity has created a "Page" about your topic/brand. These are curated summaries that influence future citations.

Scoring Rubric (0-100)

Criterion	Points	How to Score
Active Reddit presence in relevant subreddits	20	20 if active contributor, 10 if mentioned, 0 if absent
Forum/community mentions (HN, SO, Quora)	10	10 if multiple platforms, 5 if one, 0 if none
Content freshness (updated within 6 months)	10	10 if recent, 5 if within year, 0 if older
Original research/data published	15	15 if original research, 10 if case studies, 5 if some data, 0 if none
YouTube content with transcripts	10	10 if active channel, 5 if some videos, 0 if none
Quotable, standalone paragraphs	10	2 points per well-structured quotable paragraph, max 10
Multi-source claim validation	10	10 if claims well-sourced, 5 if some sourcing, 0 if none
Discussion-generating content	10	10 if content gets shared/discussed, 5 if some engagement, 0 if none
Wikipedia/Wikidata presence	5	5 if present, 0 if absent

Platform 4: Google Gemini

How Gemini Selects Sources

Uses Google's search index plus strong weighting toward Google-owned properties
YouTube content is weighted significantly more heavily than in standard Google Search
Google Business Profile data is directly accessible to Gemini
Gemini uses Google's Knowledge Graph directly — entity presence in Knowledge Graph is a major advantage
Structured data (Schema.org) is consumed directly by Gemini for entity understanding
Gemini multi-modal: can reference images, videos, and text together

Optimization Checklist

Google Knowledge Panel: Check if the brand has a Google Knowledge Panel. If not, claim it through Google Business Profile or structured data. Ensure all information is accurate.
Google Business Profile: Complete and optimize GBP with all fields: hours, services, photos, posts, Q&A. Gemini pulls directly from GBP for local queries.
YouTube Strategy: Create YouTube content for every key topic. Optimize titles, descriptions, timestamps, and closed captions. Gemini cites YouTube more than any other AI platform.
YouTube Chapters and Timestamps: Use chapters (timestamps in description) so Gemini can reference specific segments of videos.
Google Merchant Center: For e-commerce, ensure products are in Google Merchant Center. Gemini references product data directly.
Structured Data (Schema.org): Implement comprehensive Schema.org markup. Gemini uses this for entity understanding more aggressively than other platforms.
Google Sites Ecosystem: Ensure presence across Google ecosystem: Google Scholar (for research), Google News (for publishers), Google Maps (for local).
Image Optimization: Gemini is multi-modal. Use descriptive alt text, structured image filenames, and high-quality images. Include relevant images with every piece of content.
Google E-E-A-T Signals: All standard Google E-E-A-T signals apply with extra weight. Author pages, about pages, editorial policies, and expertise demonstrations.
Chrome Web Store / Google Workspace Marketplace: For software companies, presence on Google platforms adds entity signals.

Scoring Rubric (0-100)

Criterion	Points	How to Score
Google Knowledge Panel exists	15	15 if complete, 10 if partial, 0 if none
Google Business Profile complete	10	10 if fully optimized, 5 if basic, 0 if none
YouTube channel with topic-relevant content	20	20 if active with chapters, 10 if present, 0 if none
Schema.org structured data implemented	15	15 if comprehensive, 10 if basic, 5 if minimal, 0 if none
Google ecosystem presence (Scholar, News, Maps)	10	10 if 3+, 5 if 1-2, 0 if none
Image optimization (alt text, filenames)	10	10 if all images optimized, 5 if partial, 0 if none
E-E-A-T signals (author pages, about, editorial)	10	10 if strong, 5 if partial, 0 if weak
Google Merchant Center (if e-commerce)	5	5 if applicable and active, N/A otherwise
Multi-modal content (text + images + video)	5	5 if rich multi-modal, 3 if some, 0 if text-only

Platform 5: Bing Copilot

How Copilot Selects Sources

Uses Bing's search index (shared infrastructure with ChatGPT but different ranking/selection)
Supports IndexNow protocol for near-instant indexing of new and updated content
Copilot tends to cite fewer sources per answer (typically 3-5) but gives more prominent attribution
Microsoft ecosystem integration: LinkedIn, GitHub, Microsoft Learn content is weighted
Copilot prefers pages with clear, structured markup and fast load times

Optimization Checklist

Bing Webmaster Tools: Register and verify site. Submit XML sitemap. Review and fix any crawl issues.
IndexNow Implementation: Implement the IndexNow protocol to notify Bing of content changes in real-time. Submit a key file at /.well-known/indexnow-key.txt and ping the IndexNow API on content publish/update.
LinkedIn Company Page: Ensure the company LinkedIn page is complete with accurate description, employee connections, and regular posts. Copilot indexes LinkedIn content.
GitHub Presence: For tech companies, maintain an active GitHub presence. Copilot references GitHub repos, documentation, and README files.
Microsoft Learn / Documentation: If relevant, contribute to Microsoft Learn or ensure documentation is compatible with Microsoft's documentation standards.
Bing Places for Business: Equivalent to Google Business Profile. Complete all fields for local search visibility in Copilot.
Clear Meta Descriptions: Bing/Copilot weights meta descriptions more heavily than Google does. Write compelling, keyword-rich meta descriptions for every page.
Social Signals: Bing has historically weighted social signals (shares, likes, engagement) more than Google. Maintain active social media presence.
Exact-Match Keywords: Bing's algorithm is more literal about keyword matching than Google. Include exact target phrases in titles, headings, and body content.
Fast Page Load: Copilot deprioritizes slow pages. Target sub-2-second load time. Optimize images, enable compression, minimize render-blocking resources.

Scoring Rubric (0-100)

Criterion	Points	How to Score
Bing Webmaster Tools verified + sitemap	15	15 if verified, 5 if partial, 0 if not
IndexNow protocol implemented	15	15 if active, 0 if not
Bing index coverage of key pages	10	10 if full, 5 if partial, 0 if poor
LinkedIn company page (complete)	10	10 if complete, 5 if basic, 0 if none
GitHub presence (if applicable)	5	5 if active, N/A if not applicable
Meta descriptions optimized	10	10 if all key pages, 5 if partial, 0 if missing
Social media engagement signals	10	10 if active engagement, 5 if present, 0 if none
Exact-match keywords in titles/headings	10	10 if well-optimized, 5 if partial, 0 if not
Page load speed < 2 seconds	10	10 if < 2s, 5 if < 4s, 0 if > 4s
Bing Places configured (if local)	5	5 if complete, N/A if not local

Cross-Platform Summary

Universal Optimization Actions (help ALL platforms)

Wikipedia/Wikidata entity presence
YouTube channel with relevant content
Comprehensive, well-structured content with clear headings
Schema.org structured data (especially Organization + sameAs)
Fast page load and clean HTML
Author pages with credentials and sameAs links
Regular content updates with visible dates

Platform-Specific Priorities

Priority	Google AIO	ChatGPT	Perplexity	Gemini	Copilot
#1	Top-10 ranking	Wikipedia	Reddit presence	YouTube	IndexNow
#2	Q&A structure	Entity graph	Original research	Knowledge Panel	Bing WMT
#3	Tables/lists	Bing SEO	Freshness	Schema.org	LinkedIn
#4	Featured snippets	Reddit	Community forums	GBP	Meta descriptions

Output Format

Generate GEO-PLATFORM-OPTIMIZATION.md with the following structure:

# GEO Platform Optimization Report — [Domain]
Date: [Date]

## Overall Platform Readiness
- Combined GEO Score: XX/100 (average of all platform scores)

## Platform Scores
| Platform | Score | Status |
|---|---|---|
| Google AI Overviews | XX/100 | [Strong/Moderate/Weak] |
| ChatGPT Web Search | XX/100 | [Strong/Moderate/Weak] |
| Perplexity AI | XX/100 | [Strong/Moderate/Weak] |
| Google Gemini | XX/100 | [Strong/Moderate/Weak] |
| Bing Copilot | XX/100 | [Strong/Moderate/Weak] |

Status thresholds: Strong = 70+, Moderate = 40-69, Weak = 0-39

## Platform Details
[Per-platform breakdown with score, gaps found, specific actions]

## Prioritized Action Plan
### Quick Wins (this week)
[Actions that improve multiple platform scores with minimal effort]

### Medium-Term (this month)
[Actions requiring content creation or technical changes]

### Strategic (this quarter)
[Actions requiring entity building, community development, or platform presence]

Source: zubair-trabzada/geo-seo-claude — distributed by TomeVault.

---name: geo-platform-optimizerdescription: Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually Use when this capability is needed.---# GEO Platform Optimizer## Core InsightOnly **11% of domains** are cited by BOTH ChatGPT and Google AI Overviews for the same query. Each AI search platform uses different indexes, ranking logic, and source preferences. A page optimized for Google AI Overviews may be invisible to ChatGPT, and vice versa. Platform-specific optimization is not optional — it is the foundation of any serious GEO strategy.## How to Use This Skill1. Collect the target URL and the site's primary topic/industry2. Run each platform checklist below against the site3. Score each platform on the 0-100 rubric4. Generate GEO-PLATFORM-OPTIMIZATION.md with per-platform scores, gaps, and action items---## Platform 1: Google AI Overviews (AIO)### How AIO Selects Sources- 92% of AIO citations come from pages already ranking in the **top 10 organic results** — traditional SEO is the gateway- However, 47% of citations come from pages ranking **below position 5** — AIO has its own selection logic favoring clarity and directness over raw rank- AIO strongly favors pages with **clean structure, direct answers, and scannable formatting**- Featured snippet optimization has ~70% overlap with AIO optimization- AIO prefers **concise, factual, unambiguous answers** — hedging and filler reduce citation probability### Optimization Checklist1. **Question-Based Headings**: Use H2/H3 headings phrased as questions matching real user queries. Check Google's "People Also Ask" for the target topic and mirror those exact phrasings.2. **Direct Answer in First Paragraph**: After each question heading, provide a clear 1-2 sentence answer immediately. Then expand with supporting detail. The first sentence should be a standalone citation candidate.3. **Tables and Structured Comparisons**: AIO heavily cites tables. Convert any comparison, pricing, specification, or feature data into HTML tables. Use clear column headers.4. **Ordered and Unordered Lists**: Step-by-step processes should use ordered lists. Feature lists should use unordered lists. AIO extracts these directly.5. **FAQ Sections**: Add a dedicated FAQ section with 5-10 real questions. Use proper H3 headings for each question. While FAQPage schema rich results are restricted to govt/health sites since Aug 2023, the content pattern still helps AIO extraction.6. **Definitions and Glossary Boxes**: For any industry-specific term, provide a clear definition. Format: "**[Term]** is [concise definition]." AIO frequently cites definitions.7. **Statistics with Sources**: Include specific numbers with attribution. "According to [Source], [statistic]." AIO prefers citeable, specific claims over vague assertions.8. **Publication Date**: Include a visible publication date and last-updated date. AIO deprioritizes undated content for time-sensitive queries.9. **Author Byline**: Display author name with credentials. Link to an author page with bio, credentials, and sameAs links.10. **Page Depth**: Keep target pages within 3 clicks of homepage. AIO rarely cites deep, orphaned content.### Scoring Rubric (0-100)| Criterion | Points | How to Score ||---|---|---|| Ranks in top 10 for target queries | 20 | 20 if yes, 10 if top 20, 0 if beyond || Question-based headings present | 10 | 2 points per question heading, max 10 || Direct answers after headings | 15 | 3 points per direct answer, max 15 || Tables present for comparison data | 10 | 10 if tables used appropriately, 5 if partial, 0 if absent || Lists for processes/features | 10 | 10 if present, 5 if partial || FAQ section with 5+ questions | 10 | 10 if 5+, 5 if 1-4, 0 if none || Statistics with citations | 10 | 2 points per cited stat, max 10 || Publication/updated date visible | 5 | 5 if both dates, 3 if one, 0 if none || Author byline with credentials | 5 | 5 if full byline, 3 if name only, 0 if none || Clean URL + heading hierarchy | 5 | 5 if H1>H2>H3 clean, 3 if minor issues, 0 if broken |---## Platform 2: ChatGPT Web Search### How ChatGPT Selects Sources- Uses **Bing's search index** as its foundation (not Google)- Top citation sources by domain share: **Wikipedia (47.9%)**, Reddit (11.3%), YouTube, major news outlets- ChatGPT heavily weights **entity recognition** — if your brand exists as a structured entity (Wikipedia, Wikidata, Crunchbase), it is far more likely to be cited- Prefers **authoritative, well-established sources** over new or niche sites- Longer, more comprehensive articles get cited more often than short pieces- ChatGPT tends to cite **the most canonical source** for a claim rather than the original### Optimization Checklist1. **Wikipedia Presence**: Check if the brand/person/product has a Wikipedia article. If not, assess notability criteria. If notable, create a draft. If an article exists, ensure it is accurate and current.2. **Wikidata Entity**: Verify the entity exists on Wikidata (wikidata.org). If not, create a Wikidata item with key properties: instance of, official website, social media links, founding date, headquarters location.3. **Bing Webmaster Tools**: Verify the site is registered in Bing Webmaster Tools. Submit sitemap. Check for crawl errors.4. **Bing Index Coverage**: Use `site:domain.com` on Bing to verify key pages are indexed. Bing may have different indexed pages than Google.5. **Reddit Authority**: Check for brand mentions on Reddit. Identify relevant subreddits. Assess whether the brand participates authentically in discussions.6. **YouTube Presence**: Verify YouTube channel exists with relevant content. Video descriptions should contain full URLs and entity information.7. **Authoritative Backlinks**: ChatGPT/Bing weight .edu, .gov, and major publication backlinks heavily. Audit backlink profile for these sources.8. **Entity Consistency**: Brand name, founding date, leadership, and key facts must be consistent across Wikipedia, Crunchbase, LinkedIn, and the official website.9. **Comprehensive Content**: Pages targeting ChatGPT citation should be **2000+ words** with thorough topic coverage. ChatGPT prefers single authoritative sources over combining multiple thin pages.10. **Clear Attribution**: Include "About" sections, company descriptions, and founding stories. ChatGPT uses these for entity grounding.### Scoring Rubric (0-100)| Criterion | Points | How to Score ||---|---|---|| Wikipedia article exists and is accurate | 20 | 20 if exists, 10 if stub, 0 if none || Wikidata entity with 5+ properties | 10 | 10 if complete, 5 if basic, 0 if none || Bing index coverage of key pages | 10 | 10 if full, 5 if partial, 0 if poor || Reddit brand mentions (positive) | 10 | 10 if active discussions, 5 if mentions, 0 if none || YouTube channel with relevant content | 10 | 10 if active, 5 if present but sparse, 0 if none || Authoritative backlinks (.edu, .gov, press) | 15 | 3 points per authoritative backlink category, max 15 || Entity consistency across platforms | 10 | 10 if consistent, 5 if minor discrepancies, 0 if major || Content comprehensiveness (2000+ words) | 10 | 10 if thorough, 5 if adequate, 0 if thin || Bing Webmaster Tools configured | 5 | 5 if verified, 0 if not |---## Platform 3: Perplexity AI### How Perplexity Selects Sources- Top citation sources: **Reddit (46.7%)**, Wikipedia, YouTube, major publications- Perplexity places the **heaviest emphasis on community validation** of all AI search platforms- Strongly favors **discussion threads** where claims are debated, validated, or expanded by multiple participants- Prefers recent content — publication date is a strong ranking signal- Cites **multiple sources per answer** (typically 5-15), so there is more opportunity for mid-authority sites to appear- Uses its own crawling infrastructure in addition to search APIs### Optimization Checklist1. **Active Reddit Presence**: The brand or its representatives should participate authentically in relevant subreddit discussions. Not promotional — helpful, specific, and community-oriented.2. **Reddit AMAs and Threads**: Encourage or participate in AMAs, detailed discussion threads, and community Q&As. Perplexity treats these as high-signal content.3. **Forum and Community Presence**: Beyond Reddit, check Hacker News, Stack Overflow, Quora, and niche industry forums. Perplexity indexes these heavily.4. **Discussion-Friendly Content**: Publish content that invites discussion — opinion pieces, research findings, contrarian takes, original data. Content that gets shared and debated in communities ranks higher.5. **Freshness Signals**: Publish content with clear dates. Update content regularly. Perplexity deprioritizes stale content more aggressively than other platforms.6. **Multiple Source Validation**: Claims in your content should be supported by other sources. Perplexity cross-references and prefers claims it can verify from multiple origins.7. **YouTube Video Content**: Create video content that Perplexity can reference. Ensure video titles, descriptions, and transcripts contain target information.8. **Direct, Quotable Passages**: Write paragraphs that can stand alone as citations. Each paragraph should make one clear point with supporting evidence.9. **Original Data and Research**: Publish original surveys, benchmarks, case studies, or datasets. Perplexity heavily favors primary sources.10. **Perplexity Pages**: Check if Perplexity has created a "Page" about your topic/brand. These are curated summaries that influence future citations.### Scoring Rubric (0-100)| Criterion | Points | How to Score ||---|---|---|| Active Reddit presence in relevant subreddits | 20 | 20 if active contributor, 10 if mentioned, 0 if absent || Forum/community mentions (HN, SO, Quora) | 10 | 10 if multiple platforms, 5 if one, 0 if none || Content freshness (updated within 6 months) | 10 | 10 if recent, 5 if within year, 0 if older || Original research/data published | 15 | 15 if original research, 10 if case studies, 5 if some data, 0 if none || YouTube content with transcripts | 10 | 10 if active channel, 5 if some videos, 0 if none || Quotable, standalone paragraphs | 10 | 2 points per well-structured quotable paragraph, max 10 || Multi-source claim validation | 10 | 10 if claims well-sourced, 5 if some sourcing, 0 if none || Discussion-generating content | 10 | 10 if content gets shared/discussed, 5 if some engagement, 0 if none || Wikipedia/Wikidata presence | 5 | 5 if present, 0 if absent |---## Platform 4: Google Gemini### How Gemini Selects Sources- Uses **Google's search index** plus strong weighting toward **Google-owned properties**- YouTube content is weighted significantly more heavily than in standard Google Search- Google Business Profile data is directly accessible to Gemini- Gemini uses Google's Knowledge Graph directly — entity presence in Knowledge Graph is a major advantage- Structured data (Schema.org) is consumed directly by Gemini for entity understanding- Gemini multi-modal: can reference images, videos, and text together### Optimization Checklist1. **Google Knowledge Panel**: Check if the brand has a Google Knowledge Panel. If not, claim it through Google Business Profile or structured data. Ensure all information is accurate.2. **Google Business Profile**: Complete and optimize GBP with all fields: hours, services, photos, posts, Q&A. Gemini pulls directly from GBP for local queries.3. **YouTube Strategy**: Create YouTube content for every key topic. Optimize titles, descriptions, timestamps, and closed captions. Gemini cites YouTube more than any other AI platform.4. **YouTube Chapters and Timestamps**: Use chapters (timestamps in description) so Gemini can reference specific segments of videos.5. **Google Merchant Center**: For e-commerce, ensure products are in Google Merchant Center. Gemini references product data directly.6. **Structured Data (Schema.org)**: Implement comprehensive Schema.org markup. Gemini uses this for entity understanding more aggressively than other platforms.7. **Google Sites Ecosystem**: Ensure presence across Google ecosystem: Google Scholar (for research), Google News (for publishers), Google Maps (for local).8. **Image Optimization**: Gemini is multi-modal. Use descriptive alt text, structured image filenames, and high-quality images. Include relevant images with every piece of content.9. **Google E-E-A-T Signals**: All standard Google E-E-A-T signals apply with extra weight. Author pages, about pages, editorial policies, and expertise demonstrations.10. **Chrome Web Store / Google Workspace Marketplace**: For software companies, presence on Google platforms adds entity signals.### Scoring Rubric (0-100)| Criterion | Points | How to Score ||---|---|---|| Google Knowledge Panel exists | 15 | 15 if complete, 10 if partial, 0 if none || Google Business Profile complete | 10 | 10 if fully optimized, 5 if basic, 0 if none || YouTube channel with topic-relevant content | 20 | 20 if active with chapters, 10 if present, 0 if none || Schema.org structured data implemented | 15 | 15 if comprehensive, 10 if basic, 5 if minimal, 0 if none || Google ecosystem presence (Scholar, News, Maps) | 10 | 10 if 3+, 5 if 1-2, 0 if none || Image optimization (alt text, filenames) | 10 | 10 if all images optimized, 5 if partial, 0 if none || E-E-A-T signals (author pages, about, editorial) | 10 | 10 if strong, 5 if partial, 0 if weak || Google Merchant Center (if e-commerce) | 5 | 5 if applicable and active, N/A otherwise || Multi-modal content (text + images + video) | 5 | 5 if rich multi-modal, 3 if some, 0 if text-only |---## Platform 5: Bing Copilot### How Copilot Selects Sources- Uses **Bing's search index** (shared infrastructure with ChatGPT but different ranking/selection)- Supports **IndexNow protocol** for near-instant indexing of new and updated content- Copilot tends to cite **fewer sources per answer** (typically 3-5) but gives more prominent attribution- Microsoft ecosystem integration: LinkedIn, GitHub, Microsoft Learn content is weighted- Copilot prefers pages with clear, structured markup and fast load times### Optimization Checklist1. **Bing Webmaster Tools**: Register and verify site. Submit XML sitemap. Review and fix any crawl issues.2. **IndexNow Implementation**: Implement the IndexNow protocol to notify Bing of content changes in real-time. Submit a key file at `/.well-known/indexnow-key.txt` and ping the IndexNow API on content publish/update.3. **LinkedIn Company Page**: Ensure the company LinkedIn page is complete with accurate description, employee connections, and regular posts. Copilot indexes LinkedIn content.4. **GitHub Presence**: For tech companies, maintain an active GitHub presence. Copilot references GitHub repos, documentation, and README files.5. **Microsoft Learn / Documentation**: If relevant, contribute to Microsoft Learn or ensure documentation is compatible with Microsoft's documentation standards.6. **Bing Places for Business**: Equivalent to Google Business Profile. Complete all fields for local search visibility in Copilot.7. **Clear Meta Descriptions**: Bing/Copilot weights meta descriptions more heavily than Google does. Write compelling, keyword-rich meta descriptions for every page.8. **Social Signals**: Bing has historically weighted social signals (shares, likes, engagement) more than Google. Maintain active social media presence.9. **Exact-Match Keywords**: Bing's algorithm is more literal about keyword matching than Google. Include exact target phrases in titles, headings, and body content.10. **Fast Page Load**: Copilot deprioritizes slow pages. Target sub-2-second load time. Optimize images, enable compression, minimize render-blocking resources.### Scoring Rubric (0-100)| Criterion | Points | How to Score ||---|---|---|| Bing Webmaster Tools verified + sitemap | 15 | 15 if verified, 5 if partial, 0 if not || IndexNow protocol implemented | 15 | 15 if active, 0 if not || Bing index coverage of key pages | 10 | 10 if full, 5 if partial, 0 if poor || LinkedIn company page (complete) | 10 | 10 if complete, 5 if basic, 0 if none || GitHub presence (if applicable) | 5 | 5 if active, N/A if not applicable || Meta descriptions optimized | 10 | 10 if all key pages, 5 if partial, 0 if missing || Social media engagement signals | 10 | 10 if active engagement, 5 if present, 0 if none || Exact-match keywords in titles/headings | 10 | 10 if well-optimized, 5 if partial, 0 if not || Page load speed < 2 seconds | 10 | 10 if < 2s, 5 if < 4s, 0 if > 4s || Bing Places configured (if local) | 5 | 5 if complete, N/A if not local |---## Cross-Platform Summary### Universal Optimization Actions (help ALL platforms)1. Wikipedia/Wikidata entity presence2. YouTube channel with relevant content3. Comprehensive, well-structured content with clear headings4. Schema.org structured data (especially Organization + sameAs)5. Fast page load and clean HTML6. Author pages with credentials and sameAs links7. Regular content updates with visible dates### Platform-Specific Priorities| Priority | Google AIO | ChatGPT | Perplexity | Gemini | Copilot ||---|---|---|---|---|---|| #1 | Top-10 ranking | Wikipedia | Reddit presence | YouTube | IndexNow || #2 | Q&A structure | Entity graph | Original research | Knowledge Panel | Bing WMT || #3 | Tables/lists | Bing SEO | Freshness | Schema.org | LinkedIn || #4 | Featured snippets | Reddit | Community forums | GBP | Meta descriptions |---## Output FormatGenerate **GEO-PLATFORM-OPTIMIZATION.md** with the following structure:```markdown# GEO Platform Optimization Report — [Domain]Date: [Date]## Overall Platform Readiness- Combined GEO Score: XX/100 (average of all platform scores)## Platform Scores| Platform | Score | Status ||---|---|---|| Google AI Overviews | XX/100 | [Strong/Moderate/Weak] || ChatGPT Web Search | XX/100 | [Strong/Moderate/Weak] || Perplexity AI | XX/100 | [Strong/Moderate/Weak] || Google Gemini | XX/100 | [Strong/Moderate/Weak] || Bing Copilot | XX/100 | [Strong/Moderate/Weak] |Status thresholds: Strong = 70+, Moderate = 40-69, Weak = 0-39## Platform Details[Per-platform breakdown with score, gaps found, specific actions]## Prioritized Action Plan### Quick Wins (this week)[Actions that improve multiple platform scores with minimal effort]### Medium-Term (this month)[Actions requiring content creation or technical changes]### Strategic (this quarter)[Actions requiring entity building, community development, or platform presence]```---> Source: [zubair-trabzada/geo-seo-claude](https://github.com/zubair-trabzada/geo-seo-claude) — distributed by [TomeVault](https://tomevault.io).

tomevault-io/skills-registry/tree/main/zubair-trabzada--geo-seo-claude--geo-seo-claude commit eaeaebfc35

Frequently asked questions

npx skillmds@latest add tomevault-io/geo-platform-optimizer