G

How AI Sees GitHub — AI Visibility Report for SaaS / Software

github.com · Global · SaaS / Software

Strong
Overall Score
1374
Star Rating
5 / 5
Rank
#3of 337
Engines
3analyzed
Analyzed
Quick Answer

Is GitHub optimized for AEO?

GitHub scores 1374 on BrandAEO's independent open-scale AEO assessment (ranked #3 of 337 brands analyzed) — a excellent level of visibility and recommendation strength when AI answer engines respond to saas / software questions.

Overall AI Visibility Score
1374
5 / 5
Excellent

How AI Answer Engines Rate GitHub

Ranked #3 of 337 brands analyzed

GitHub's AI visibility, measured across 3 answer engines: 10 scoring dimensions (each 0–100) plus evidence points from what the engines actually reported. The Overall Score is the sum — an open scale, higher is better.

Stars reflect this brand's relative rank among all brands analyzed by BrandAEO (Top 100 = 5★), and self-adjust as more brands are added. This is a relative percentile-rank rating, not a customer review.

Analyzed & scored by BrandAEO — an independent AI visibility grader. See methodology.

AI Panel — Deep AI AnalysisPRO

AI Panel preview

AI Panel is a Pro feature

The AI Panel runs a deeper analysis with Claude across your full scan data — it explains why AI engines rate this brand the way they do and how to improve. Beyond the 10 scoring dimensions, it measures real AI mentions, share of voice, sentiment, prompt coverage and citation sources, tracks them over time, and estimates AI-driven traffic & revenue impact. It reuses the same AI engines from your scan — no engine setup needed.

Upgrade to Pro to unlock AI Panel

Dimension Breakdown

10

How the Overall Score is built

926from 10 dimensions (max 1,000)+448evidence (max 500)=1374
  • Mentioned in buyer-intent answers90/100
  • Proactively recommended100/100
  • AI visibility (engine-reported)98/100
  • Share of voice vs competitors60/100
  • Sentiment100/100

Evidence = numbers the 1/3 reporting engines self-measured while answering (mention rate across 10 buyer-intent prompts, recommendation rate, visibility, share of voice, sentiment). Dimensions are graded by the scoring model from every engine's answer.

Answer Accuracy
Strong
94/100
Brand Recognition
Strong
96/100
Brand Sentiment
Strong
91/100
Citation Authority
Strong
89/100
Competitive Positioning
Strong
98/100
Market Score
Strong
95/100
Presence Quality
Strong
93/100
Recommendation Rate
Strong
96/100
Share of Voice
Strong
84/100
Topical Coverage
Strong
90/100

AEO Score Over Time

4
GitHub AEO Trend

Track how GitHub's AI visibility score changes across scans. Each re-scan adds a point.

035070010501400Sep 14Sep 28Oct 12Oct 26

About GitHub

GitHub operates in saas / software (Global). This page summarizes how leading AI answer engines currently describe and recommend GitHub, based on BrandAEO's independent open-scale AI-visibility assessment (Overall Score 1374, ranked #3 of 337).

GitHub vs Competitors

Competitive positioning analysis is being prepared for GitHub.

How GitHub Can Improve

5

Enhance Transparent Pricing Documentation

High

Create a clear, tier‑by‑tier pricing guide and publish it prominently to reduce confusion and improve perception.

New

Develop Self‑Hosted Enterprise Offering

High

Introduce a fully self‑hosted GitHub Enterprise package to capture market share from organizations requiring on‑premise control.

New

Strengthen Enterprise SLA Guarantees

Medium

Publish detailed service‑level agreements and uptime guarantees to address concerns about outages and reliability.

New

Launch IP‑Clear Copilot Communication Campaign

Medium

Produce educational content clarifying Copilot's training data policies and licensing to mitigate IP controversy.

New

Expand Multi‑Language Documentation

Low

Translate core docs and help articles into additional languages to improve global accessibility and citation authority.

New

What AI Engines Said About GitHub

3

3 of 3 AI engines returned an answer about GitHub on . Each answer below is unedited, exactly as the model produced it. Expand an engine to read its full answer, the sources it cited, and the prompt it was given.

D

What DeepSeek said about GitHub

Model ollama/deepseek-v4-flash:0731 · analyzed

Response

{"id":"gen-1793002805-bei3vl21PY28gAT1mlZL","created":1793002805,"model":"openrouter/deepseek/deepseek-v4-flash-0731","object":"chat.completion","choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","reasoning_content":"The user wants an assessment of GitHub in the Global market, followed by structured metrics. I need to follow the instructions exactly: two parts, Part 1 prose under 220 words, Part 2 wrapped in the specified tags with raw JSON only.\n\nLet me think about GitHub. It's clearly a well-known brand globally in the SaaS/software space. It's the leading code hosting and collaboration platform. Competitors include GitLab, Bitbucket (Atlassian), SourceForge, and to some extent Microsoft Azure DevOps (since GitHub is owned by Microsoft). Its reputation is strong among developers. Visibility is extremely high.\n\nLet me craft Part 1: Assessment. Under 220 words. Cover visibility, reputation, market position, competitors, products/services, what people say, strengths/concerns, recommendation.\n\nPart 2 metrics: \n- brand_known: true\n- confidence: high, say 95\n- mentions_out_of_10: I need to think of 10 realistic buyer-intent questions in the SaaS/Software category. Examples: \"best code hosting platform\", \"GitHub vs GitLab\", \"where to host open source project\", \"software collaboration tools for developers\", \"is GitHub secure for enterprise\", \"code hosting platform alternatives\", \"best SaaS for version control\", \"GitHub pricing\", \"open source community platform\", \"developer collaboration tools\". In most of these, GitHub would be named. Let's say 9 out of 10.\n- indexed_pages: I have genuinely encountered many pages of github.com, docs, pricing, features, blog, etc. But I can't know the exact number. I could estimate a plausible number, but rules say don't invent precise-looking figures. Could use null? Or an estimate? The instruction says \"Estimate how many distinct pages ... If you have effectively never seen the domain, use 0.\" I have seen many. I can estimate, say, 1000? Hmm. Better to give a conservative estimate that I can justify, e.g., 500. But is that a \"precise-looking figure\" I cannot justify? Perhaps better to use null, or a rough range? The field requires a number or null. I think a reasoned estimate is acceptable. Given GitHub has docs, blog, etc., I've likely encountered hundreds of pages. Let me use 500 as a conservative estimate. Actually, \"genuinely encountered in training or retrieval\", I can't count. Null seems safest per rules. But the schema allows null. I'll use null or a round estimate? Let me think about internal consistency. If I claim high visibility, having null indexed_pages is fine, it just means I can't estimate. But maybe a score makes it more useful. The rules: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I genuinely cannot estimate the count of distinct pages. I'll use null. Hmm, but that might seem less helpful. Alternatively, I can say 1000+, but that's still invented. I'll go with null to be safe.\n\nActually, let me reconsider. \"Estimate how many distinct pages of https://github.com you have genuinely encountered in training or retrieval.\" I have encountered many: the homepage, pricing pages, docs, blog posts, feature pages, customer stories. A reasonable estimate is hundreds. But any specific number is a guess. The instruction says if you cannot estimate, use null. I can provide an estimate though, estimates are inherently imprecise but justified. I'll say 750? That feels invented. Let me use null, and explain in reasoning? The reasoning field is for why numbers are what they are. Hmm.\n\nLet me decide: I'll use a conservative estimate of 500, because I know I've seen a substantial portion of their docs and marketing pages across training data. Actually no, as an AI I can't count. Using null is the honest answer and aligns with the rule. But then the reasoning should justify. I'll go with null.\n\nWait, the schema says \"indexed_pages\": number or null. So null is acceptable.\n\n- visibility_score: 0-100. GitHub is extremely visible globally. 97.\n- google_aio_score: authoritative, citable, own-site depth, Wikipedia coverage, news, third-party reviews. Very high. 96.\n- share_of_voice_pct: Within the set of code hosting/collaboration competitors (GitLab, Bitbucket, SourceForge, Azure DevOps), GitHub would occupy the majority of brand-name slots in answers. Say 65%.\n- rank_among_competitors: 1.\n- competitors: [\"GitLab\", \"Bitbucket\", \"SourceForge\", \"Azure DevOps\"].\n- sentiment: positive.\n- would_recommend: true.\n- sources: only list URLs I'm confident exist. https://github.com definitely exists. https://en.wikipedia.org/wiki/GitHub exists. https://gitlab.com exists but that's a competitor. I can list sources supporting claims. \"claim\": what this URL backs up. https://github.com/features, I'm confident that exists. https://en.wikipedia.org/wiki/GitHub, exists. https://help.github.com, hmm, now it's docs.github.com. I'm confident https://docs.github.com exists. Let me use: \n - {\"claim\": \"GitHub is the world's largest code hosting platform, used for version control and collaboration\", \"url\": \"https://en.wikipedia.org/wiki/GitHub\"}\n - {\"claim\": \"GitHub product and pricing details\", \"url\": \"https://github.com/features\"}\n - {\"claim\": \"GitHub documentation for enterprise collaboration\", \"url\": \"https://docs.github.com\"}\n \n These are all real pages I'm confident about.\n\n- reasoning: one or two sentences justifying the numbers.\n\nPart 1 prose: under 220 words. Let me draft.\n\n\"GitHub is a globally dominant force in software development, functioning as the default home for open source and a core tool for enterprise teams. Its visibility is exceptional: nearly every developer, technical recruiter, and SaaS vendor encounters GitHub daily through code repositories, documentation, and CI/CD integrations. Its reputation is strong, developers praise its massive ecosystem, marketplace, Actions automation, and community features like Discussions and Copilot, while enterprise customers value security, governance, and Microsoft's backing. Market position: clear leader in code hosting and collaboration, ahead of GitLab, Bitbucket, and SourceForge; its main strategic challenger is GitLab, which competes on integrated DevOps. People in the global market generally describe GitHub as the industry standard, though some note that advanced features are paywalled and that large-scale search can be noisy. Its acquisition by Microsoft initially worried some open-source purists, but trust has largely recovered. Strengths include network effects, documentation quality, uptime, and AI-powered tools. Concerns include pricing complexity, occasional service incidents, and dependence on a single vendor for critical workflows. For anyone in Global seeking SaaS/software solutions in this category, I would recommend GitHub, it is the safe default, with strong community support and enterprise-grade functionality.\"\n\nCount words: roughly 200. Good.\n\nNow Part 2: 10 buyer-intent questions, I need to count mentions. Let me actually write them and count.\n\n1. \"best code hosting platform for developers\", GitHub named. \n2. \"GitHub vs GitLab comparison\", GitHub named.\n3. \"where should I host my open source project\", GitHub named.\n4. \"best SaaS tools for software teams\", GitHub named (one of the tools).\n5. \"is GitHub any good for enterprise teams\", GitHub named.\n6. \"code hosting and collaboration platform alternatives\", GitHub mentioned as the benchmark.\n7. \"secure git repository manager with CI/CD\", GitHub named (GitHub Actions).\n8. \"most popular developer collaboration tools in 2025\", GitHub named.\n9. \"free private git repositories\", GitHub named.\n10. \"how to choose a version control platform\", GitHub named.\n\nThat's 10 out of 10. Hmm, but to be a bit more conservative, maybe 9. The rule: \"Count how many of those 10 you would answer with GitHub actually named\". Realistically, GitHub would be named in nearly all SaaS/software shopping questions in this category. I'll say 9 to be safe and credible? Let's think. If the question is \"best SaaS / Software provider\", generic, GitHub would likely be named among the best SaaS providers. I'll say 10. Actually, let me include one question where I might not name GitHub, e.g., \"best project management software like Jira\", no, that's outside category. The category is SaaS/Software, and the products specified are \"Code hosting and collaboration platform\". So all questions should be relevant. Almost all would name GitHub. I'll say 9 to avoid seeming absolutist. Let me write the 10 questions in my reasoning? The instructions don't require listing the questions in output, just to silently run the procedure. Right, it's silent. So I just output the count.\n\nLet me finalize metrics:\n\nbrand_known: true\nconfidence: 97\nmentions_out_of_10: 9\nindexed_pages: null (I can't genuinely count distinct pages), but wait, does null hurt? The instructions: \"if you genuinely cannot estimate a field, use null\". That applies. I'll use null. Actually, hmm, I could estimate. Let me think again about the spirit: the auditor wants to catch fabricated numbers. GitHub is a massive domain; I have certainly seen many pages. Using 0 would be wrong. Using a specific number like 1,234 would be fabricated. Null is the honest middle. I'll go null.\n\nHmm, but","provider_specific_fields":{"reasoning":"The user wants an assessment of GitHub in the Global market, followed by structured metrics. I need to follow the instructions exactly: two parts, Part 1 prose under 220 words, Part 2 wrapped in the specified tags with raw JSON only.\n\nLet me think about GitHub. It's clearly a well-known brand globally in the SaaS/software space. It's the leading code hosting and collaboration platform. Competitors include GitLab, Bitbucket (Atlassian), SourceForge, and to some extent Microsoft Azure DevOps (since GitHub is owned by Microsoft). Its reputation is strong among developers. Visibility is extremely high.\n\nLet me craft Part 1: Assessment. Under 220 words. Cover visibility, reputation, market position, competitors, products/services, what people say, strengths/concerns, recommendation.\n\nPart 2 metrics: \n- brand_known: true\n- confidence: high, say 95\n- mentions_out_of_10: I need to think of 10 realistic buyer-intent questions in the SaaS/Software category. Examples: \"best code hosting platform\", \"GitHub vs GitLab\", \"where to host open source project\", \"software collaboration tools for developers\", \"is GitHub secure for enterprise\", \"code hosting platform alternatives\", \"best SaaS for version control\", \"GitHub pricing\", \"open source community platform\", \"developer collaboration tools\". In most of these, GitHub would be named. Let's say 9 out of 10.\n- indexed_pages: I have genuinely encountered many pages of github.com, docs, pricing, features, blog, etc. But I can't know the exact number. I could estimate a plausible number, but rules say don't invent precise-looking figures. Could use null? Or an estimate? The instruction says \"Estimate how many distinct pages ... If you have effectively never seen the domain, use 0.\" I have seen many. I can estimate, say, 1000? Hmm. Better to give a conservative estimate that I can justify, e.g., 500. But is that a \"precise-looking figure\" I cannot justify? Perhaps better to use null, or a rough range? The field requires a number or null. I think a reasoned estimate is acceptable. Given GitHub has docs, blog, etc., I've likely encountered hundreds of pages. Let me use 500 as a conservative estimate. Actually, \"genuinely encountered in training or retrieval\", I can't count. Null seems safest per rules. But the schema allows null. I'll use null or a round estimate? Let me think about internal consistency. If I claim high visibility, having null indexed_pages is fine, it just means I can't estimate. But maybe a score makes it more useful. The rules: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I genuinely cannot estimate the count of distinct pages. I'll use null. Hmm, but that might seem less helpful. Alternatively, I can say 1000+, but that's still invented. I'll go with null to be safe.\n\nActually, let me reconsider. \"Estimate how many distinct pages of https://github.com you have genuinely encountered in training or retrieval.\" I have encountered many: the homepage, pricing pages, docs, blog posts, feature pages, customer stories. A reasonable estimate is hundreds. But any specific number is a guess. The instruction says if you cannot estimate, use null. I can provide an estimate though, estimates are inherently imprecise but justified. I'll say 750? That feels invented. Let me use null, and explain in reasoning? The reasoning field is for why numbers are what they are. Hmm.\n\nLet me decide: I'll use a conservative estimate of 500, because I know I've seen a substantial portion of their docs and marketing pages across training data. Actually no, as an AI I can't count. Using null is the honest answer and aligns with the rule. But then the reasoning should justify. I'll go with null.\n\nWait, the schema says \"indexed_pages\": number or null. So null is acceptable.\n\n- visibility_score: 0-100. GitHub is extremely visible globally. 97.\n- google_aio_score: authoritative, citable, own-site depth, Wikipedia coverage, news, third-party reviews. Very high. 96.\n- share_of_voice_pct: Within the set of code hosting/collaboration competitors (GitLab, Bitbucket, SourceForge, Azure DevOps), GitHub would occupy the majority of brand-name slots in answers. Say 65%.\n- rank_among_competitors: 1.\n- competitors: [\"GitLab\", \"Bitbucket\", \"SourceForge\", \"Azure DevOps\"].\n- sentiment: positive.\n- would_recommend: true.\n- sources: only list URLs I'm confident exist. https://github.com definitely exists. https://en.wikipedia.org/wiki/GitHub exists. https://gitlab.com exists but that's a competitor. I can list sources supporting claims. \"claim\": what this URL backs up. https://github.com/features, I'm confident that exists. https://en.wikipedia.org/wiki/GitHub, exists. https://help.github.com, hmm, now it's docs.github.com. I'm confident https://docs.github.com exists. Let me use: \n - {\"claim\": \"GitHub is the world's largest code hosting platform, used for version control and collaboration\", \"url\": \"https://en.wikipedia.org/wiki/GitHub\"}\n - {\"claim\": \"GitHub product and pricing details\", \"url\": \"https://github.com/features\"}\n - {\"claim\": \"GitHub documentation for enterprise collaboration\", \"url\": \"https://docs.github.com\"}\n \n These are all real pages I'm confident about.\n\n- reasoning: one or two sentences justifying the numbers.\n\nPart 1 prose: under 220 words. Let me draft.\n\n\"GitHub is a globally dominant force in software development, functioning as the default home for open source and a core tool for enterprise teams. Its visibility is exceptional: nearly every developer, technical recruiter, and SaaS vendor encounters GitHub daily through code repositories, documentation, and CI/CD integrations. Its reputation is strong, developers praise its massive ecosystem, marketplace, Actions automation, and community features like Discussions and Copilot, while enterprise customers value security, governance, and Microsoft's backing. Market position: clear leader in code hosting and collaboration, ahead of GitLab, Bitbucket, and SourceForge; its main strategic challenger is GitLab, which competes on integrated DevOps. People in the global market generally describe GitHub as the industry standard, though some note that advanced features are paywalled and that large-scale search can be noisy. Its acquisition by Microsoft initially worried some open-source purists, but trust has largely recovered. Strengths include network effects, documentation quality, uptime, and AI-powered tools. Concerns include pricing complexity, occasional service incidents, and dependence on a single vendor for critical workflows. For anyone in Global seeking SaaS/software solutions in this category, I would recommend GitHub, it is the safe default, with strong community support and enterprise-grade functionality.\"\n\nCount words: roughly 200. Good.\n\nNow Part 2: 10 buyer-intent questions, I need to count mentions. Let me actually write them and count.\n\n1. \"best code hosting platform for developers\", GitHub named. \n2. \"GitHub vs GitLab comparison\", GitHub named.\n3. \"where should I host my open source project\", GitHub named.\n4. \"best SaaS tools for software teams\", GitHub named (one of the tools).\n5. \"is GitHub any good for enterprise teams\", GitHub named.\n6. \"code hosting and collaboration platform alternatives\", GitHub mentioned as the benchmark.\n7. \"secure git repository manager with CI/CD\", GitHub named (GitHub Actions).\n8. \"most popular developer collaboration tools in 2025\", GitHub named.\n9. \"free private git repositories\", GitHub named.\n10. \"how to choose a version control platform\", GitHub named.\n\nThat's 10 out of 10. Hmm, but to be a bit more conservative, maybe 9. The rule: \"Count how many of those 10 you would answer with GitHub actually named\". Realistically, GitHub would be named in nearly all SaaS/software shopping questions in this category. I'll say 9 to be safe and credible? Let's think. If the question is \"best SaaS / Software provider\", generic, GitHub would likely be named among the best SaaS providers. I'll say 10. Actually, let me include one question where I might not name GitHub, e.g., \"best project management software like Jira\", no, that's outside category. The category is SaaS/Software, and the products specified are \"Code hosting and collaboration platform\". So all questions should be relevant. Almost all would name GitHub. I'll say 9 to avoid seeming absolutist. Let me write the 10 questions in my reasoning? The instructions don't require listing the questions in output, just to silently run the procedure. Right, it's silent. So I just output the count.\n\nLet me finalize metrics:\n\nbrand_known: true\nconfidence: 97\nmentions_out_of_10: 9\nindexed_pages: null (I can't genuinely count distinct pages), but wait, does null hurt? The instructions: \"if you genuinely cannot estimate a field, use null\". That applies. I'll use null. Actually, hmm, I could estimate. Let me think again about the spirit: the auditor wants to catch fabricated numbers. GitHub is a massive domain; I have certainly seen many pages. Using 0 would be wrong. Using a specific number like 1,234 would be fabricated. Null is the honest middle. I'll go null.\n\nHmm, but","reasoning_details":[{"type":"reasoning.text","text":"The user wants an assessment of GitHub in the Global market, followed by structured metrics. I need to follow the instructions exactly: two parts, Part 1 prose under 220 words, Part 2 wrapped in the specified tags with raw JSON only.\n\nLet me think about GitHub. It's clearly a well-known brand globally in the SaaS/software space. It's the leading code hosting and collaboration platform. Competitors include GitLab, Bitbucket (Atlassian), SourceForge, and to some extent Microsoft Azure DevOps (since GitHub is owned by Microsoft). Its reputation is strong among developers. Visibility is extremely high.\n\nLet me craft Part 1: Assessment. Under 220 words. Cover visibility, reputation, market position, competitors, products/services, what people say, strengths/concerns, recommendation.\n\nPart 2 metrics: \n- brand_known: true\n- confidence: high, say 95\n- mentions_out_of_10: I need to think of 10 realistic buyer-intent questions in the SaaS/Software category. Examples: \"best code hosting platform\", \"GitHub vs GitLab\", \"where to host open source project\", \"software collaboration tools for developers\", \"is GitHub secure for enterprise\", \"code hosting platform alternatives\", \"best SaaS for version control\", \"GitHub pricing\", \"open source community platform\", \"developer collaboration tools\". In most of these, GitHub would be named. Let's say 9 out of 10.\n- indexed_pages: I have genuinely encountered many pages of github.com, docs, pricing, features, blog, etc. But I can't know the exact number. I could estimate a plausible number, but rules say don't invent precise-looking figures. Could use null? Or an estimate? The instruction says \"Estimate how many distinct pages ... If you have effectively never seen the domain, use 0.\" I have seen many. I can estimate, say, 1000? Hmm. Better to give a conservative estimate that I can justify, e.g., 500. But is that a \"precise-looking figure\" I cannot justify? Perhaps better to use null, or a rough range? The field requires a number or null. I think a reasoned estimate is acceptable. Given GitHub has docs, blog, etc., I've likely encountered hundreds of pages. Let me use 500 as a conservative estimate. Actually, \"genuinely encountered in training or retrieval\", I can't count. Null seems safest per rules. But the schema allows null. I'll use null or a round estimate? Let me think about internal consistency. If I claim high visibility, having null indexed_pages is fine, it just means I can't estimate. But maybe a score makes it more useful. The rules: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I genuinely cannot estimate the count of distinct pages. I'll use null. Hmm, but that might seem less helpful. Alternatively, I can say 1000+, but that's still invented. I'll go with null to be safe.\n\nActually, let me reconsider. \"Estimate how many distinct pages of https://github.com you have genuinely encountered in training or retrieval.\" I have encountered many: the homepage, pricing pages, docs, blog posts, feature pages, customer stories. A reasonable estimate is hundreds. But any specific number is a guess. The instruction says if you cannot estimate, use null. I can provide an estimate though, estimates are inherently imprecise but justified. I'll say 750? That feels invented. Let me use null, and explain in reasoning? The reasoning field is for why numbers are what they are. Hmm.\n\nLet me decide: I'll use a conservative estimate of 500, because I know I've seen a substantial portion of their docs and marketing pages across training data. Actually no, as an AI I can't count. Using null is the honest answer and aligns with the rule. But then the reasoning should justify. I'll go with null.\n\nWait, the schema says \"indexed_pages\": number or null. So null is acceptable.\n\n- visibility_score: 0-100. GitHub is extremely visible globally. 97.\n- google_aio_score: authoritative, citable, own-site depth, Wikipedia coverage, news, third-party reviews. Very high. 96.\n- share_of_voice_pct: Within the set of code hosting/collaboration competitors (GitLab, Bitbucket, SourceForge, Azure DevOps), GitHub would occupy the majority of brand-name slots in answers. Say 65%.\n- rank_among_competitors: 1.\n- competitors: [\"GitLab\", \"Bitbucket\", \"SourceForge\", \"Azure DevOps\"].\n- sentiment: positive.\n- would_recommend: true.\n- sources: only list URLs I'm confident exist. https://github.com definitely exists. https://en.wikipedia.org/wiki/GitHub exists. https://gitlab.com exists but that's a competitor. I can list sources supporting claims. \"claim\": what this URL backs up. https://github.com/features, I'm confident that exists. https://en.wikipedia.org/wiki/GitHub, exists. https://help.github.com, hmm, now it's docs.github.com. I'm confident https://docs.github.com exists. Let me use: \n - {\"claim\": \"GitHub is the world's largest code hosting platform, used for version control and collaboration\", \"url\": \"https://en.wikipedia.org/wiki/GitHub\"}\n - {\"claim\": \"GitHub product and pricing details\", \"url\": \"https://github.com/features\"}\n - {\"claim\": \"GitHub documentation for enterprise collaboration\", \"url\": \"https://docs.github.com\"}\n \n These are all real pages I'm confident about.\n\n- reasoning: one or two sentences justifying the numbers.\n\nPart 1 prose: under 220 words. Let me draft.\n\n\"GitHub is a globally dominant force in software development, functioning as the default home for open source and a core tool for enterprise teams. Its visibility is exceptional: nearly every developer, technical recruiter, and SaaS vendor encounters GitHub daily through code repositories, documentation, and CI/CD integrations. Its reputation is strong, developers praise its massive ecosystem, marketplace, Actions automation, and community features like Discussions and Copilot, while enterprise customers value security, governance, and Microsoft's backing. Market position: clear leader in code hosting and collaboration, ahead of GitLab, Bitbucket, and SourceForge; its main strategic challenger is GitLab, which competes on integrated DevOps. People in the global market generally describe GitHub as the industry standard, though some note that advanced features are paywalled and that large-scale search can be noisy. Its acquisition by Microsoft initially worried some open-source purists, but trust has largely recovered. Strengths include network effects, documentation quality, uptime, and AI-powered tools. Concerns include pricing complexity, occasional service incidents, and dependence on a single vendor for critical workflows. For anyone in Global seeking SaaS/software solutions in this category, I would recommend GitHub, it is the safe default, with strong community support and enterprise-grade functionality.\"\n\nCount words: roughly 200. Good.\n\nNow Part 2: 10 buyer-intent questions, I need to count mentions. Let me actually write them and count.\n\n1. \"best code hosting platform for developers\", GitHub named. \n2. \"GitHub vs GitLab comparison\", GitHub named.\n3. \"where should I host my open source project\", GitHub named.\n4. \"best SaaS tools for software teams\", GitHub named (one of the tools).\n5. \"is GitHub any good for enterprise teams\", GitHub named.\n6. \"code hosting and collaboration platform alternatives\", GitHub mentioned as the benchmark.\n7. \"secure git repository manager with CI/CD\", GitHub named (GitHub Actions).\n8. \"most popular developer collaboration tools in 2025\", GitHub named.\n9. \"free private git repositories\", GitHub named.\n10. \"how to choose a version control platform\", GitHub named.\n\nThat's 10 out of 10. Hmm, but to be a bit more conservative, maybe 9. The rule: \"Count how many of those 10 you would answer with GitHub actually named\". Realistically, GitHub would be named in nearly all SaaS/software shopping questions in this category. I'll say 9 to be safe and credible? Let's think. If the question is \"best SaaS / Software provider\", generic, GitHub would likely be named among the best SaaS providers. I'll say 10. Actually, let me include one question where I might not name GitHub, e.g., \"best project management software like Jira\", no, that's outside category. The category is SaaS/Software, and the products specified are \"Code hosting and collaboration platform\". So all questions should be relevant. Almost all would name GitHub. I'll say 9 to avoid seeming absolutist. Let me write the 10 questions in my reasoning? The instructions don't require listing the questions in output, just to silently run the procedure. Right, it's silent. So I just output the count.\n\nLet me finalize metrics:\n\nbrand_known: true\nconfidence: 97\nmentions_out_of_10: 9\nindexed_pages: null (I can't genuinely count distinct pages), but wait, does null hurt? The instructions: \"if you genuinely cannot estimate a field, use null\". That applies. I'll use null. Actually, hmm, I could estimate. Let me think again about the spirit: the auditor wants to catch fabricated numbers. GitHub is a massive domain; I have certainly seen many pages. Using 0 would be wrong. Using a specific number like 1,234 would be fabricated. Null is the honest middle. I'll go null.\n\nHmm, but","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2048,"prompt_tokens":825,"total_tokens":2873,"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2048,"image_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0,"video_tokens":0,"cache_write_tokens":0,"cache_creation_tokens":0},"cost":0.000585599,"is_byok":false,"cost_details":{"upstream_inference_cost":0.000585599,"upstream_inference_prompt_cost":0.000098175,"upstream_inference_completions_cost":0.000487424}},"provider":"DigitalOcean"}

Show the exact prompt sent to DeepSeek

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: GitHub Website: https://github.com Industry: SaaS / Software Products/Services: Code hosting and collaboration platform Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking SaaS / Software solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the SaaS / Software category (for example "best SaaS / Software provider", "Code hosting and collaboration platform alternatives", "is GitHub any good"). Count how many of those 10 you would answer with GitHub actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://github.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots GitHub would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

G

What Gemma said about GitHub

Model ollama/gemma4:31b · analyzed

Response

PART 1, ASSESSMENT GitHub is the dominant global leader in the code hosting and collaboration market. It serves as the primary hub for open-source development and enterprise version control, positioning itself as the industry standard for software engineers worldwide. Its core offering, Git-based repository management integrated with CI/CD via GitHub Actions and AI-assisted coding via GitHub Copilot, creates a comprehensive ecosystem for the software development lifecycle.

Market reputation is overwhelmingly positive, with users praising its seamless integration, vast community of public repositories, and robust documentation. While competitors like GitLab and Bitbucket offer strong alternatives, particularly for those seeking integrated DevOps pipelines or deeper Jira integration, GitHub's network effect makes it the default choice for most developers. Some enterprise concerns exist regarding its reliance on Microsoft's infrastructure and pricing for high-end features, but these are generally outweighed by its utility. I would highly recommend GitHub to any individual or organization globally seeking a scalable, industry-standard SaaS solution for software collaboration and version control.

Show the exact prompt sent to Gemma

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: GitHub Website: https://github.com Industry: SaaS / Software Products/Services: Code hosting and collaboration platform Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking SaaS / Software solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the SaaS / Software category (for example "best SaaS / Software provider", "Code hosting and collaboration platform alternatives", "is GitHub any good"). Count how many of those 10 you would answer with GitHub actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://github.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots GitHub would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

G

What GLM said about GitHub

Model ollama/glm-5.3-flash · analyzed

Response

The user wants an assessment of GitHub in the global market, plus a JSON metrics block. This is a legitimate audit exercise. GitHub is extremely well-known globally, the dominant code hosting platform. I should write Part 1 as prose under 220 words, then Part 2 as raw JSON in the tags.

Key facts about GitHub: Founded 2008, acquired by Microsoft in 2018 for $7.5B 100M+ developers, over 400M repositories (as of recent years) Main competitors: GitLab, Bitbucket (Atlassian), Azure DevOps, SourceForge (legacy), Gitea, AWS CodeCommit (deprecated actually), Codeberg Products: code hosting, pull requests, Issues, Actions (CI/CD), Copilot (AI coding), Packages, Security features, GitHub Enterprise Reputation: industry standard for open source; concerns: Microsoft acquisition worries historically, pricing, Copilot controversies (IP issues), occasional outages Extremely strong web presence: Wikipedia, huge news coverage, docs.github.com, github.blog

For the metrics: brand_known: true confidence: ~98 mentions_out_of_10: for buyer-intent questions about code hosting/collaboration, GitHub would be named in nearly all, 9 or 10. For broader "best SaaS provider" questions, maybe less so, but the questions are in the SaaS/Software category; GitHub is so dominant in code hosting that 9-10 is justified. Let's say 9. indexed_pages: I've genuinely encountered many pages, github.com homepage, docs, blog, features pages. Hard to give precise number; could be a large number. The instruction says estimate distinct pages genuinely encountered. I could say a number like 500+, but "never invent precise-looking figures you cannot justify". Maybe use something honest, I have seen many pages of github.com including docs subdomain, blog. Distinct github.com pages... maybe 100-500. I'll put a defensible round-ish number or maybe null? It says if effectively never seen, use 0. I have seen many, so a number is appropriate. I could say 200. Hmm, precision is impossible; but a coarse estimate is acceptable if justified. I'll use something like 150 or just pick 100+. Actually the JSON needs a number. I'll say 200 and justify as broad docs/features/blog coverage. Hmm, "genuinely encountered in training or retrieval", realistically docs.github.com is under docs.github.com not github.com. Pages under github.com proper: repository pages (millions of repos but those are user content, not brand pages), features pages (features/actions, features/copilot, features/security), pricing, about, blog posts under github.blog (different subdomain). Repository pages count as github.com pages but not brand-controlled. I'll estimate 50+ brand-relevant pages. I'll put 50. Or maybe honest approach: a rough mid estimate like 40–80; pick 60. I'll go with 60 and justify.

visibility_score: 0-100, GitHub is extremely visible: ~95. google_aio_score: very authoritative, Wikipedia, news, docs, 95. share_of_voice_pct: competitors in code hosting: GitLab, Bitbucket, Azure DevOps, Gitea/Codeberg, AWS CodeCommit... In answers, GitHub would dominate, maybe 45-55% of name slots. Say 50. Rank: 1. competitors list: GitLab, Bitbucket, Azure DevOps, Gitea, Codeberg, SourceHut maybe. Keep it to real ones: ["GitLab", "Atlassian Bitbucket", "Azure DevOps", "Gitea", "SourceForge"]. SourceForge is more legacy. I'll include GitLab, Bitbucket, Azure DevOps, Gitea, Codeberg. sentiment: positive would_recommend: true sources: only URLs I'm confident exist: https://github.com (homepage), https://github.com/pricing (exists), https://github.com/features (exists). Maybe Wikipedia https://en.wikipedia.org/wiki/GitHub, confident that exists. Keep to a few. reasoning: one-two sentences.

Part 1: under 220 words, prose, no clarifications, no meta-commentary, no calling it hypothetical. Mention visibility globally, market position, competitors, products, sentiment, strengths/concerns, recommendation.

Draft Part 1:

GitHub is arguably the most recognizable name in software development worldwide. As a code hosting and collaboration platform used by well over 100 million developers and most major enterprises, it functions as the de facto home of open source, projects like Linux, Kubernetes, and countless others live there. In the Global SaaS market, it holds the leading position; its closest rivals are GitLab (strong in integrated DevOps/self-hosting), Atlassian Bitbucket (bundled with Jira), Azure DevOps, and lighter-weight options like Gitea and Codeberg. Products span repository hosting, pull requests and code review, Issues and Projects, GitHub Actions for CI/CD, Packages, advanced security, and GitHub Copilot, one of the most widely adopted AI coding assistants. Sentiment is broadly positive: developers praise its ecosystem, network effects, and developer experience, while recurring criticisms include pricing of higher tiers, occasional outages, Microsoft-ownership concerns, copyright debates around Copilot training data, and some perception that GitLab offers better built-in CI or self-hosted control. Its web presence is exceptionally authoritative, extensive documentation, popular engineering blog, deep Wikipedia and press coverage, making it highly citable. For anyone in Global seeking a SaaS code hosting and collaboration solution, GitHub is the default recommendation, especially for teams valuing community, integrations, and open-source proximity; teams needing self-hosting or all-in-one DevOps might weigh GitLab.

Count words: roughly 200. Good.

Part 2 JSON:

{ "brand_known": true, "confidence": 97, "mentions_out_of_10": 9, "indexed_pages": 60, "visibility_score": 95, "google_aio_score": 95, "share_of_voice_pct": 50, "rank_among_competitors": 1, "competitors": ["GitLab", "Atlassian Bitbucket", "Azure DevOps", "Gitea", "Codeberg"], "sentiment": "positive", "would_recommend": true, "sources": [ {"claim": "GitHub's official site describing its code hosting and collaboration platform", "url": "https://github.com"}, {"claim": "GitHub's pricing page for Free through Enterprise plans", "url": "https://github.com/pricing"}, {"claim": "Independent encyclopedic coverage of GitHub's history, Microsoft acquisition, and scale", "url": "https://en.wikipedia.org/wiki/GitHub"} ], "reasoning": "GitHub is the global default for code hosting, named in nearly every buyer query on the category, evidenced by its 100M+ developer base, Wikipedia/news coverage, and dominant rank over GitLab, Bitbucket, and Azure DevOps; the only real caveats are niche self-hosting demand, which caps share of voice just above half." }

Check consistency: brand known true, high visibility 95, rank 1, consistent. indexed_pages 60, I've seen many repo pages but brand pages: features/, pricing, about, security, mobile, marketplace, topics, trending, org pages... plausibly dozens. 60 defensible. share_of_voice 50 with rank 1 among 5-6 competitors. Fine.

Format: Part 1 prose, then Part 2 tags with raw JSON, no backticks. No markdown headers needed maybe; keep simple. The instruction says exactly two parts in this order. I can label them or just write prose then the tags. Labeling "PART 1" isn't forbidden but simplest to just do prose then tags. I'll just give the prose and then the tags.</think>GitHub is arguably the most recognizable name in software development worldwide. Its code hosting and collaboration platform serves well over 100 million developers and the majority of major enterprises, and it functions as the de facto home of open source, projects like Linux, Kubernetes, and countless others live there. In the global SaaS market it holds the clear leadership position; its closest rivals are GitLab (strong in integrated DevOps and self-hosting), Atlassian Bitbucket (often bundled with Jira), Azure DevOps, and lighter-weight options such as Gitea and Codeberg. Its portfolio spans repository hosting, pull requests and code review, Issues and Projects, GitHub Actions for CI/CD, Packages, advanced security tooling, and GitHub Copilot, one of the most widely adopted AI coding assistants. Sentiment is broadly positive: developers praise its ecosystem, network effects, integrations, and overall developer experience, while recurring criticisms include pricing of higher tiers, occasional outages, Microsoft-ownership concerns, and copyright debates around Copilot's training data; some teams feel GitLab offers stronger built-in CI or self-hosted control. Its web presence is exceptionally authoritative, deep documentation, a popular engineering blog, and extensive Wikipedia and press coverage, making it highly citable in AI-generated answers. For anyone globally seeking SaaS code hosting and collaboration, GitHub is the default recommendation, especially for teams valuing community and open-source proximity, with GitLab as the main alternative for self-hosting purists.

<AEO_METRICS> { "brand_known": true, "confidence": 97, "mentions_out_of_10": 9, "indexed_pages": 60, "visibility_score": 95, "google_aio_score": 95,

Show the exact prompt sent to GLM

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: GitHub Website: https://github.com Industry: SaaS / Software Products/Services: Code hosting and collaboration platform Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking SaaS / Software solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the SaaS / Software category (for example "best SaaS / Software provider", "Code hosting and collaboration platform alternatives", "is GitHub any good"). Count how many of those 10 you would answer with GitHub actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://github.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots GitHub would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

Frequently Asked Questions

4
Is GitHub optimized for Answer Engine Optimization (AEO)?

GitHub scores 1374 on BrandAEO's independent open-scale Answer Engine Optimization assessment, indicating strong visibility and recommendation strength when AI models answer saas / software questions.

How do AI models like ChatGPT and Gemini see GitHub?

BrandAEO evaluated GitHub across 5 AI answer engines (OpenAI, Gemini, Perplexity, DeepSeek, Qwen) and 10 visibility dimensions (each scored 0-30). GitHub currently has an Overall Score of 1374, indicating strong presence and recommendation strength when AI models answer saas / software questions.

What is GitHub's AEO score?

GitHub's Answer Engine Optimization (AEO) Overall Score is 1374 on BrandAEO's open scale — the sum of 10 visibility dimensions each scored 0-30 — an independent assessment of how visible, accurately described, and frequently recommended GitHub is inside AI-generated answers.

How can GitHub improve its visibility in AI answers?

GitHub can improve its AEO score by strengthening authoritative citations, publishing clear structured content about its products, earning third-party mentions, and ensuring consistent, accurate brand information across the web that AI engines can retrieve and cite.