Blog
The Better Robots blog is the editorial authority layer of the product.
Its job is not to publish scattered SEO commentary. Its job is to explain the operating model behind modern crawl governance, AI visibility, source-page architecture, snippet control, and public machine-readable policy for WordPress teams.
If you are new to the project, use this route first:
- AI visibility
- AI search SEO
- AI visibility controls
- How to appear in ChatGPT
- How to appear in Google AI Overviews
- The cluster map below
Strategic hubs
These pages define the category. Read them before you disappear into isolated vendor posts.
AI visibility
The main hub for machine readability, discoverability in answer systems, source pages, and governance surfaces.
AI search SEO
The page that frames AI visibility as a core SEO practice rather than a market-side gimmick.
Measure AI visibility
The KPI layer for crawler behavior, AI referrals, surfaced URLs, and business outcomes.
AI visibility controls
The technical matrix of robots.txt, meta robots, snippets, llms.txt, public policy, logs, and edge controls.
Start here
These are the best first reads if you want a fast but accurate mental model.
Why robots.txt is not enough for user-triggered AI agents
The sharpest framing for agentic web access: Search, training, retrieval, and user-triggered traffic do not belong to one surface.
How to appear in Google AI Overviews: Googlebot vs Google-Extended
The Google model for Search crawl, Gemini reuse posture, and user-triggered Google agent traffic.
How to appear in ChatGPT: OAI-SearchBot vs GPTBot vs ChatGPT-User
The OpenAI split between search visibility, training, and user-triggered retrieval.
How to appear in Claude: Claude-SearchBot vs ClaudeBot vs Claude-User
The Anthropic model for training, search optimization, and user-directed fetches.
Cluster 0 — AI visibility strategy
This is the category acquisition layer. It connects market language such as AI visibility, AI search SEO, AEO, GEO, and answer engines to the control surfaces the plugin actually helps teams govern.
AI visibility
The strategic hub for discoverability, citation, machine-readable posture, and governance coherence.
AEO
Answer Engine Optimization explained without pretending it replaces technical SEO.
GEO
Generative Engine Optimization reframed as source-page design plus governance clarity.
How to appear in ChatGPT
The practical OpenAI entrypoint for visibility questions.
How to appear in Google AI Overviews
The practical Google entrypoint for AI-feature visibility questions.
How to appear in Claude
The practical Anthropic entrypoint for search-style and user-triggered retrieval visibility.
Route pages and bridge pages
These non-blog pages should be read together with the editorial hub when the goal is product capture plus explanation:
- robots.txt vs llms.txt on WordPress
- Search vs answer vs training permissions
- What AI usage signals can and cannot do
- Signal vs enforcement for AI crawlers
- Answer-surface protocol
Foundation clusters
Robots.txt fundamentals
- Common robots.txt mistakes
- Robots.txt vs meta robots vs X-Robots-Tag
- Crawl budget explained
- Sitemap XML and robots.txt
- LLMS.txt explained
AI crawlers and machine access
- AI crawlers explained
- Do AI crawlers respect robots.txt?
- The AI crawler landscape in 2026
- Search vs ai-input vs ai-train
- Who controls machine access?
Control surfaces by actor
- How to appear in ChatGPT: OAI-SearchBot vs GPTBot vs ChatGPT-User
- How to appear in Claude: Claude-SearchBot vs ClaudeBot vs Claude-User
- How to appear in Google AI Overviews: Googlebot vs Google-Extended
- Applebot vs Applebot-Extended
- Bing, noarchive, nocache, and Copilot
Verification, logs, and edge limits
- Verify AI agents in logs
- Read crawl logs and identify bots
- Robots.txt vs signed agent allowlisting
- Machine governance file stack