ChatGPT — OpenAI's generative AI chatbot
What is ChatGPT?
ChatGPT is a generative AI chatbot created by OpenAI, released in November 2022. Based on the GPT (Generative Pre-trained Transformer) model series — currently GPT-5 (released August 2025) and GPT-4o. In 2026, ChatGPT has 700+ million weekly active users — one of the fastest-growing applications in history.
ChatGPT influences SEO via ChatGPT Search (released October 2024) and citations of web sources in responses. Related term: chatgpt-search — the search feature in ChatGPT.
ChatGPT capabilities (2026)
- Text — conversation, writing, analyses, code
- Vision — image analysis (GPT-4o, GPT-5)
- Voice — Voice Mode (Advanced) with natural conversation
- Code interpreter — executes Python code in sandbox
- Custom GPTs — own instances with system prompt + knowledge base
- Plugins / Actions — integrations with external APIs
- Memory — remembers previous conversations (since 2024)
- Canvas — collaborative editing for code/documents
- Operator (2026) — autonomous agent clicking in browser
OpenAI models in ChatGPT
| Model | Use case | Speed | Cost |
|---|---|---|---|
| GPT-5 | Default ChatGPT (2026) | Medium | High |
| GPT-4o | Free tier + fast tasks | Fast | Medium |
| o3 / o1 | Reasoning-heavy (math, code) | Slow | Very high |
| GPT-4o-mini | Free, lightweight | Very fast | Low |
ChatGPT and SEO (GEO)
ChatGPT influences SEO in 3 ways:
1. ChatGPT Search (replacing Google traffic)
- User asks instead of Googling
- ChatGPT fetches live web results + cites sources
- Cited sources get traffic + brand mention
- SEO goal: be cited
2. Brand mentions in generative answers
- Even without Search mode, ChatGPT knows brands from pre-training
- Mentioned brand → trust + recall, even without click
- Goal: build presence in trained sources (Wikipedia, industry sites)
3. Comparative recommendations
- User: "best CRM for SaaS"
- ChatGPT: "consider HubSpot, Salesforce, Pipedrive..."
- List = de-facto search results
How to optimize for ChatGPT (GEO)
Citability
- Information gain — unique data, not duplication
- Atomic answers — extractable facts, statistics, definitions
- Author markup — Person schema → trust signal
- Cited sources — academic papers, government data, ARDURA case studies
Topical authority
- Topical mapping — full topic coverage
- 15+ named entities per page (Cortez 2026)
- Knowledge graph entries — Wikidata, Wikipedia (when notability)
Schema markup
- Article schema with author + publisher
- FAQPage for extractable Q&A
- HowTo for step-by-step content
- DefinedTerm / DefinedTermSet for glossary
ChatGPT vs Perplexity vs Gemini
| Feature | ChatGPT | Perplexity | Google Gemini |
|---|---|---|---|
| Primary use | Conversation + tasks | Search + research | Conversation + Google integration |
| Web search | Plus tier (Search mode) | Default (always cited) | Default |
| Citation style | Inline links | Inline numbered refs | Inline links |
| Models | GPT-5, GPT-4o, o1 | GPT/Claude/Grok rotation | Gemini 2.5 |
| Best for | Power users, code | Researchers, comparison | Google ecosystem users |
| Free tier | Yes (limited) | Yes (limited Pro) | Yes |
API and developer integration
OpenAI API (api.openai.com) — programmatic access to GPT models:
- Chat Completions API (standard)
- Assistants API (stateful agents)
- Embeddings API (vector search)
- DALL-E 3 image generation
- Whisper speech-to-text
- TTS text-to-speech
Pricing: per-token (input + output). GPT-5: ~$15/1M input, $60/1M output (2026).
Related terms
- ChatGPT Search — search feature
- GEO — Generative Engine Optimization
- Perplexity — search-focused alternative
- AI Overviews — Google equivalent
- Information gain — citability signal
- Knowledge graph — trust foundation