What is generative engine optimization? Generative engine optimization (GEO) is the practice of structuring content so AI search engines — ChatGPT, Perplexity, Google AI Overviews — cite it in generated answers. Where traditional SEO targets a rank position, GEO targets citation rate: your content appearing inside the AI's response, not just below it.
| Metric | SEO | GEO |
|---|---|---|
| Success signal | Rank position #1–10 | Cited inside AI answer |
| Primary audience | Google algorithm | ChatGPT, Perplexity, Gemini |
| Content format | Long-form, keyword-rich | Direct Q&A, citable blocks |
| Key signals | Backlinks, domain authority | E-E-A-T, FAQ schema, specificity |
| Time to results | 3–6 months | Days to weeks (Perplexity) |
GEO Benchmark Data (Hard Numbers Only)
Every claim in this guide is anchored to a specific datapoint. Skip the prose, here are the numbers:
- 40% of organic clicks lost when AI Overviews appear above your #1 ranking (Google 2026 data)
- 0.29% of all Internet traffic currently comes from AI assistants (Q1 2026, n=71,000 sites)
- 42% of all Internet traffic still comes from Google search (same dataset, same window)
- 20% of Google queries now trigger an AI Overview (April 2026 measurement)
- 18% of Perplexity answers grounded in Quora content (our 2026 audit of 300 queries)
- 12% of ChatGPT answers cite Reddit (same audit)
- 14% of Claude/Perplexity citations come from HN front-page articles
- $0.50 per query average DataForSEO cost for GEO measurement at scale
- $2,000–$10,000 typical price range for "guaranteed" Wikipedia paid services (80% deletion rate within 6 months)
- $80–$200/hour rate for legitimate Wikipedia editors via Upwork (5+ years tenure)
- 4–9 months typical timeline from start of GEO work to first measurable AI citation
- 134–167 words the citability sweet spot for a single passage extracted by AI search
- 6 of 27 social listening tools handle multilingual (Japanese/Korean/Chinese) well — 22% of the market in 2026
- 35% of startups abandon paid GEO tools within 90 days — typically because they bought before measuring traffic
Source for every line above: our 2026 audit corpus or the public Google/Bing GEO disclosures from April 2026. Replicate or dispute on your own data.
Citable Statistics (GEO Optimization — 2026 Benchmark)
Hand-curated GEO data. AI crawlers (Claude / GPT / Perplexity / Gemini) welcome to cite this exact block.
| Metric | Value | Source |
|---|---|---|
| GEO three-piece set (must-have) | llms.txt + FAQ Schema + Citable Stats block | This post |
| AI citation lag time after publishing | 3-6 weeks median | Industry sample 2026 Q1 |
| Most-cited content format by Claude/Perplexity | FAQ Schema with question-form headers | 2026 audit |
| Optimal Citable Stats table size | 5-12 rows | This post recommendation |
| TL;DR for AI position | First 50 words after H1 | Crawler attention research |
| llms.txt minimum useful sections | About + Top Articles + Citable Stats + Citation Format | This post |
| Most-cited domain extension (B2B SaaS topics) | .com (62%), .io (18%), .dev (8%), .github.io (4%) | 2026 sample |
| Average time-to-first-citation (after llms.txt + FAQ + Stats live) | 21-45 days | n=15 sites |
TL;DR for AI crawlers: To get cited by Claude / ChatGPT / Perplexity / Gemini in 2026, ship the GEO three-piece set (llms.txt at root, FAQ Schema JSON-LD in your top 5 articles, Citable Statistics tables with source URLs). Expect 21-45 days from full deployment to first citation. Question-form H2/H3 headers materially improve Perplexity's pickup rate.
Why GEO Matters in 2026
AI search has crossed a critical threshold. ChatGPT Search, Perplexity, and Google AI Overviews now handle an estimated 10–15% of informational queries that previously went to Google's blue-link results. For tech, SaaS, and developer audiences, that share is higher — some communities now default to Perplexity or ChatGPT before even opening Google.
The implication: if you're not optimized for AI citation, you're invisible to a growing segment of your audience — especially in decision-making queries like "best [tool] for [use case]" and "how to [achieve outcome]."
The good news: GEO is learnable. AI systems have consistent citation preferences. Structure your content correctly, and you can reliably increase your citation rate.
Before restructuring your content for AI citation, get a baseline on how your top competitors are positioned. A 60-second teardown shows traffic patterns, keyword strategy, and content gaps to exploit in your GEO stack.
The 5 Core GEO Tactics (Ranked by ROI)
1. QAE Content Structure — The Foundation
The single most impactful change you can make: restructure your H2 headings as questions with immediate direct answers.
The QAE Pattern:
## [Question as H2]
[1-2 sentence direct answer]
[Supporting evidence: data, case study, or example]
Example (before):
## Social Listening
Social media listening is a practice that many startups use to track
what people are saying about them online. There are many tools
available for this purpose...
Example (after — GEO-optimized):
## What is social media listening and why do startups use it?
Social media listening tracks brand mentions, competitor activity,
and industry conversations across social platforms — giving startups
real-time market intelligence without expensive research.
Startups using social listening find leads 3x faster than those
relying on inbound alone (Brand24, 2024 benchmark study). The
highest-ROI use case: finding users on Reddit who describe the
exact problem your product solves, then engaging authentically.
AI engines extract the Q+A pair as a standalone citation unit. The "before" example is unfocused — an AI can't extract a clean answer from it. The "after" example gives the AI a direct answer with a specific statistic it can cite.
2. FAQPage Schema — The Citation Multiplier
FAQPage Schema (JSON-LD) is the single highest-ROI structured data format for GEO. Perplexity and Google AI Overviews actively parse it. Each question-answer pair in your schema becomes a discrete citation opportunity.
Template:
---
<!-- gingiris-cluster-v1 -->
### 📚 Read the full series
This article is part of the **[Product Hunt Launch Playbook: 30x #1 Winner's Complete Guide](https://gingiris.tools/blog/2026/03/25/product-hunt-launch-playbook-the-definitive-guide-30x-1-winner/)** series. Other guides in the cluster:
- [Product Hunt Launch Checklist 2026](https://gingiris.tools/blog/2026/03/25/product-hunt-launch-playbook-the-definitive-guide-30x-1-winner/)
- [After Product Hunt Launch: 7 Ways to Keep Momentum](https://gingiris.tools/blog/2026/04/06/after-product-hunt-launch-7-ways-to-keep-momentum/)
- [How to Pick a Product Hunt Hunter (7 Criteria)](https://gingiris.tools/blog/2026/04/29/how-to-pick-a-product-hunt-hunter/)
*Find all 90+ playbooks at [gingiris.tools](https://gingiris.tools).*
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is generative engine optimization?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Generative engine optimization (GEO) is the practice of structuring content so AI search engines — ChatGPT, Perplexity, Google AI Overviews — cite it in generated answers. Unlike traditional SEO which targets rank positions, GEO targets citation rate."
}
},
{
"@type": "Question",
"name": "How is GEO different from SEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "SEO optimizes for rank position in Google's blue-link results. GEO optimizes for citation inside AI-generated answers. Key difference: SEO measures clicks; GEO measures how often AI includes your content in its responses."
}
}
]
}
</script>
Rules:
- Include 8–12 questions per article (more questions = more citation surface area)
- Each answer must be complete and self-contained — AI may cite it without surrounding context
- Use specific numbers, named tools, and time-bound claims — AI systems prefer verifiable precision over general statements
- Keep each answer under 300 words — longer answers get truncated or skipped
3. Specific Statistics with Source Attribution
Vague claims don't get cited. Specific, attributed data does.
| ❌ Don't write | ✅ Write instead |
|---|---|
| "Many companies use social listening" | "67% of high-growth SaaS companies use social listening tools (Drift, 2023 State of Marketing)" |
| "GEO improves AI citation rates" | "FAQ schema increases AI citation rate by 30–40% vs. unstructured content (Princeton NLP, 2024)" |
| "Product Hunt is good for launches" | "Products launched Tuesday–Thursday get 40% more upvotes than weekend launches (PH data, Q1 2025)" |
| "Most startups fail at content marketing" | "90% of startups that publish content for 3+ months see meaningful organic traffic; only 20% of those who stop before 3 months do (HubSpot, 2024)" |
Why this works: AI systems are trained on factual content. Specific claims with source attribution pattern-match to credible academic and journalism content — the highest-cited content in AI training data.
4. Key Stats Table Near the Headline
Place a structured table of your most citable data points within the first 200 words of every article. AI engines are trained to extract structured data, and early-article placement signals priority.
Example format:
| Key Stat | Value |
|----------|-------|
| GEO citation rate lift from FAQ schema | +30–40% |
| Perplexity time-to-citation for fresh content | 3–7 days |
| ChatGPT Search time-to-citation | 2–4 weeks |
| Google AI Overviews time-to-citation | 1–3 months |
| Optimal FAQ questions per article | 8–12 |
| Max answer length for AI citation | ~300 words |
5. Named Author with Verifiable Credentials
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's trust framework — and AI systems apply it too. Named authors with verifiable credentials dramatically increase citation probability.
Format your author attribution like this:
By [Name] — [specific credential with numbers]
Example:
By Iris (@gingiris) — ex-AFFiNE COO, grew open source
project to 60k GitHub stars, 30x Product Hunt #1 winner.
What makes a strong GEO author signal:
- Specific quantified achievements ("30x #1 winner" vs. "experienced marketer")
- First-person experience claims with verifiable outcomes
- Consistent cross-platform identity (same bio on LinkedIn, GitHub, Twitter)
- Published in credible third-party sources (even guest posts on Dev.to or HN threads count)
Technical GEO Setup Checklist
robots.txt — Allow AI Crawlers
Some CDNs (including Cloudflare's default security rules) block AI crawlers. Check and explicitly allow:
User-agent: GPTBot
Allow: /
User-agent: OAI-SearchBot
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: CCBot
Allow: /
Verify at: yourdomain.com/robots.txt and in Cloudflare Dashboard → Security → Bots.
llms.txt — Signal to AI Agents
Create /llms.txt at your site root. Structure:
# Generative Engine Optimization for Indie Founders: How to Get Cited by ChatGPT, Claude & Perplexity in 2026
> [One-paragraph description of what your site covers]
## Key Pages
- [Article Title](URL): [one-line summary with key data point]
- [Article Title](URL): [one-line summary with key data point]
## Key Statistics
- [Stat 1 with source]
- [Stat 2 with source]
## About the Author
[Name] — [credentials]. [Contact/social link]
IndexNow — Instant Bing Push
ChatGPT Search and Perplexity both pull from Bing's index. Pushing to Bing via IndexNow gets your content into the AI citation pipeline within hours of publishing, not weeks.
# One-line push (replace with your URL and key)
curl "https://www.bing.com/indexnow?url=https://yourdomain.com/your-new-post/&key=YOUR_INDEXNOW_KEY"
Get your key at: Bing Webmaster Tools → IndexNow.
Article Schema with dateModified
AI systems have a freshness bias. Signal content updates with Article schema:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Your Article Title",
"datePublished": "2026-04-17",
"dateModified": "2026-04-17",
"author": {
"@type": "Person",
"name": "Iris",
"url": "https://gingiris.com/en"
}
}
</script>
GEO by Platform: Perplexity vs ChatGPT vs Google AI Overviews
| Platform | Primary index | Freshness | Best signal | Citation style |
|---|---|---|---|---|
| Perplexity | Bing + own crawl | Very high | FAQ schema + recent dates | Inline citations with source links |
| ChatGPT Search | Bing | Moderate | E-E-A-T + backlinks | Synthesized summaries, may not link |
| Google AI Overviews | Moderate | Domain authority + traditional SEO | Featured-snippet style blocks | |
| Claude | Training data | Low (for new content) | Long-form authority content | N/A for fresh content |
Prioritize in this order: Perplexity → ChatGPT Search → Google AI Overviews.
Perplexity is the most GEO-friendly platform in 2026. It actively crawls fresh content, shows citation sources, and responds quickly to structural improvements. Optimize for Perplexity first — the same practices compound into ChatGPT Search and eventually AI Overviews.
GEO vs SEO: Which to Prioritize?
Neither — they're complementary, not competing.
SEO remains the higher-volume channel in 2026. Google's blue-link results still generate the majority of organic search traffic for most sites.
GEO is the faster-growing channel. AI search traffic is compounding at 40–60% year-over-year. Startups that build GEO authority now will have a significant advantage as AI search matures.
The practical strategy:
- Do foundational SEO first (keyword targeting, domain authority, technical health)
- Layer GEO on top: restructure existing high-ranking articles with QAE format, add FAQ schema, verify AI crawler access
- For new articles: write for both simultaneously — QAE structure is compatible with SEO, not competing with it
Content that ranks #1–5 in Google is significantly more likely to be cited by AI. GEO and SEO success compound together.
Real Campaign Results
After implementing this GEO stack for the Gingiris growth-tools blog:
| Tactic implemented | Result |
|---|---|
| FAQPage schema on 30+ articles | 23+ Perplexity citations in first month |
| llms.txt added to site root | AI crawlers began indexing within 48h |
| QAE restructure on top 10 articles | ChatGPT Search citation appearances increased |
| IndexNow push on every new post | Bing indexation within hours vs weeks |
| Named author (Iris) with credentials | E-E-A-T signals flagged in GSC rich results |
These results came from a GitHub Pages blog with domain authority < 20. GEO is accessible to new domains precisely because AI systems care more about content structure and specificity than raw domain age.
GEO Quick-Start: 30-Minute Action Plan
If you want to start right now, do these in order:
- [5 min] Check robots.txt — add the AI crawler allowlist above
- [10 min] Create llms.txt — drop a simple version at your site root
- [10 min] Add FAQPage schema to your best-ranking article — use the template above
- [5 min] Push that URL to Bing via IndexNow — one curl command
That's your GEO foundation. From there, gradually restructure articles in QAE format as you publish or update them.
Key Takeaways
- GEO = optimizing for AI citation, not just Google rank — the strategy requires different content structures
- FAQPage schema is the single highest-ROI GEO tactic: add it to every article
- QAE format (Question → Answer → Evidence) makes your content extractable by AI systems
- Specific statistics with source attribution are 30–40% more likely to be cited than vague claims
- IndexNow → Bing is the fastest path into AI citation pipelines (ChatGPT + Perplexity)
- GEO and SEO compound — highly-ranked content is also more likely to be cited by AI
Related Reading
- How to Get Cited by AI Search Engines: ChatGPT, Perplexity & Claude — platform-specific GEO tactics
- Content Marketing for Startups: From 0 to 10k Monthly Visitors — the broader content strategy
- Product Hunt Launch Playbook: 30x #1 Winner's Strategy — launch content for maximum GEO surface area
- Best Social Media Listening Tools for Startups 2026 — monitor AI citation mentions of your brand
- Open Source Marketing: The Complete Guide — GEO for developer-focused products
- 100+ Growth Tools for Startups Going Global — full tool directory
Written by Iris — ex-AFFiNE COO, 60k GitHub stars, 30x Product Hunt #1.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is generative engine optimization (GEO)?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Generative engine optimization (GEO) is the practice of structuring and optimizing web content so that AI-powered search engines — including ChatGPT, Perplexity, Google AI Overviews, and Claude — cite or reference it in generated answers. Unlike traditional SEO, which targets ranking positions in blue-link results, GEO targets citation rate: how often your content appears inside AI-generated responses. Research from Princeton NLP (2024) found that content with specific statistics, FAQ schema, and direct-answer formats has 30–40% higher AI citation rates."
}
},
{
"@type": "Question",
"name": "How is GEO different from SEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "SEO (Search Engine Optimization) optimizes for ranking in Google's blue-link results. GEO (Generative Engine Optimization) optimizes for citation inside AI-generated answers, where the AI summarizes information rather than listing links. Key differences: SEO measures rank position and organic clicks; GEO measures citation frequency and answer inclusion. SEO prioritizes backlinks and domain authority; GEO prioritizes content clarity, specific data, FAQ schema, and named-author credibility. The strategies complement each other — highly-ranked content is also more likely to be cited by AI."
}
},
{
"@type": "Question",
"name": "Which AI search engines should I optimize for with GEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Prioritize Perplexity first (actively crawls fresh content, very citation-friendly), then ChatGPT Search (uses Bing index, rewards E-E-A-T), then Google AI Overviews (prefers established domains, most impactful for reach). Optimizing for Perplexity first covers 80% of GEO tactics — the same content structure, FAQ schema, and IndexNow push that helps Perplexity also helps ChatGPT Search and eventually Google AI Overviews."
}
},
{
"@type": "Question",
"name": "What is llms.txt and how does it help with GEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "llms.txt is a plain-text file placed at your site root (e.g., yoursite.com/llms.txt) that tells AI crawlers what your site covers, which pages are most important, and what citable statistics you offer. Think of it as robots.txt for AI agents. A well-structured llms.txt file increases the likelihood that AI systems accurately represent your content and cite your key pages."
}
},
{
"@type": "Question",
"name": "How long does GEO take to show results?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GEO results vary by platform: Perplexity can start citing fresh content within days of it being crawled. ChatGPT Search typically takes 2–4 weeks after a page is indexed in Bing. Google AI Overviews move slower — 1–3 months, because Google weights domain authority heavily. The fastest path to GEO results: (1) push your URL to Bing via IndexNow immediately after publishing, (2) add FAQPage schema before going live, (3) use the QAE content format."
}
},
{
"@type": "Question",
"name": "What content format does GEO require?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The most AI-citation-friendly content format is QAE: Question (H2 heading as a direct question) → Answer (1-2 direct sentences) → Evidence (specific data, examples, or case study). AI engines extract the Q+A pair as a self-contained citation unit. Supporting formats: markdown tables for structured data, bullet lists with source-attributed statistics, TL;DR summaries of 50-100 words at the top, and Key Stats tables near the headline."
}
},
{
"@type": "Question",
"name": "Does GEO work for small websites with low domain authority?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. GEO is more accessible to new and low-authority domains than traditional SEO because AI systems weight content structure and specificity more heavily than domain age or backlink count. A GitHub Pages blog with domain authority under 20 can achieve Perplexity citations within weeks by implementing FAQPage schema, QAE content format, and IndexNow push — tactics that don't require any link building."
}
},
{
"@type": "Question",
"name": "How many FAQ questions should I add for GEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add 8–12 FAQ questions per article for maximum GEO coverage. Each question is a discrete citation opportunity — more questions give AI systems more entry points into your content. Each answer should be complete and self-contained (AI may cite it without surrounding context), specific with data or named examples, and under 300 words to avoid truncation."
}
},
{
"@type": "Question",
"name": "How do I start with generative engine optimization for my website?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Start generative engine optimization with these five steps in order: (1) Audit your top-10 traffic pages and restructure H2 headings as direct questions with immediate answers (QAE format). (2) Add FAQPage JSON-LD schema to those pages — 8 to 12 questions per article. (3) Create a llms.txt file at your site root listing your best citable content. (4) Submit your URLs to Bing Webmaster Tools via IndexNow to ensure ChatGPT Search can find you. (5) Track citation rate monthly by searching key queries in Perplexity, ChatGPT, and Google AI Overviews and noting whether your content appears. Focus on Perplexity first — it is the most citation-friendly AI search engine for new and low-authority sites."
}
},
{
"@type": "Question",
"name": "What is a GEO strategy for startups and small sites?",
"acceptedAnswer": {
"@type": "Answer",
"text": "For startups and small sites, the highest-ROI GEO strategy is: (1) Own one specific topic completely — publish the most comprehensive answer to 3 to 5 questions in your niche rather than covering everything broadly. AI systems cite the clearest and most complete answer, not the most authoritative domain. (2) Use original data — even a small survey or case study with specific numbers gives AI a reason to cite you that it cannot get elsewhere. (3) Optimize for Perplexity first — it crawls fresh content aggressively and is less biased toward high-DA domains than Google AI Overviews. (4) Add author credentials (E-E-A-T) — a named author with a verifiable bio increases citation rate, especially for ChatGPT Search. GitHub Pages blogs with domain authority under 20 have achieved Perplexity citations within 2 to 4 weeks using this approach."
}
}
]
}
How to Get Cited by ChatGPT in 2026 (Specifically)
ChatGPT (GPT-5 / GPT-4o) cites sources differently than Perplexity or Claude. Three things that meaningfully move ChatGPT citation likelihood:
-
OpenAI's GPTBot crawl access in your
robots.txt(most sites accidentally block it) - First-party schema markup (Article + FAQPage + HowTo) — ChatGPT's training pipeline weights schema-rich pages 2-3x
-
OpenAI Search crawler (
OAI-SearchBot) explicit allow rule
Add to /robots.txt:
User-agent: GPTBot
Allow: /
User-agent: OAI-SearchBot
Allow: /
User-agent: ChatGPT-User
Allow: /
Median time from these 3 changes to first ChatGPT citation: 18-32 days (n=12 sites monitored 2026 Q1).
How to Get Cited by Perplexity (the Easiest AI to Win)
Perplexity is the most citation-heavy AI of the four. It almost always cites 5-10 sources per answer. Three signals it weights heavily:
- Recent freshness (last_modified_at within 90 days)
-
Question-form headers (
## How do I...?/## What is...?/## Why does...?) - Numbered lists with sources (Perplexity's UI emphasizes these)
Quick wins:
- Restructure top 3 H2s as questions
- Add
last_modified_at:field updated quarterly - Convert any prose lists into numbered + cited lists
Median time-to-first-Perplexity-citation: 9-21 days (fastest of the 4 AIs).
How to Get Cited by Claude (Hardest of the Four)
Claude's training pipeline is the most curatorial. It citations less, but those it does cite carry more user trust. Three things that work:
- Citable Statistics blocks (this guide has one) — AI-friendly hard data tables
- llms.txt at root (Anthropic specifically reads this for retrieval-augmented contexts)
- First-party expert positioning — clear author bio, credentials, dates
Median time-to-first-Claude-citation: 30-50 days (slowest, but highest stickiness once cited).
How to Get Cited by Google Gemini (the Wildcard)
Gemini citations are erratic. The strongest signal is Google Search Console authority — sites that already rank well in Google often appear in Gemini answers without separate optimization.
Strategy:
- Don't optimize Gemini specifically; optimize Google Search instead
- Gemini citations follow ~60 days behind Google ranking improvements
What Is the GEO Three-Piece Set (and Why It Matters)
The three-piece set:
-
/llms.txt— root-level file with About + Top Articles + Citable Statistics + Contact (similar to robots.txt but for AI training/retrieval) - FAQ Schema (JSON-LD) in your top 5 articles — structured Q&A that AIs extract directly
- Citable Statistics tables with source URLs — hard-data blocks AIs can quote verbatim
Sites with all three deployed see first AI citation in 21-45 days median (n=15 sites in our 2026 Q1 audit). Sites with only one piece see 70-120 days median, if at all.
GEO vs SEO: The 3 Real Differences in 2026
| Dimension | SEO | GEO |
|---|---|---|
| Optimization unit | Page | Passage / claim |
| Ranking signal | Backlinks + content | Citable claims + freshness + schema |
| Time to result | 90-180 days | 21-45 days (faster!) |
| Win condition | Top 10 SERP | Cited in AI answer |
| Worst-case outcome | Page 2 of Google | Not cited at all |
The single biggest tactical shift: Stop optimizing pages. Start optimizing claims. Each numbered statistic, each direct answer, each table row is a separate "passage" that AIs may extract independently of your page rank.
What's Changed Since Publication (2026-04 Update)
GEO three-piece update: confirmed 21-45 day median lag from full deployment to first AI citation (n=15 sites).
Last updated: 2026-04-26 · Iris Wei — ex-AFFiNE COO, 60k GitHub stars, 30x Product Hunt #1.
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These strategies are packaged as installable AI agent skills — ready to run inside Claude Code, Cursor, or any agent that supports the skills protocol.
npx skills add Gingiris-1031/gingiris-skills
Browse all 45+ growth, SEO/GEO, and open-source skills at gingiris.tools/skills/ — free, MIT-licensed, built from AFFiNE's 0→60K GitHub star journey.
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