•4 min read
How to use AI for SEO without technical knowledge?
A concise, non-technical guide for marketers and founders to use AI for SEO—covering keyword research, AI drafts, on-page SEO, internal linking, and no-code publishing with BlogSEO.
BlogSEO's Blog
Discover actionable strategies to boost your SEO and increase organic traffic effortlessly.
•7 min read
Content Pruning for Auto-Blogs: When to Noindex, Consolidate, or Delete AI Posts Safely
A practical framework for pruning AI-generated auto-blogs—when to noindex, consolidate, or delete posts safely—with technical checklists and automation tips to protect rankings and crawl budget.
•7 min read
Why Bing Webmaster Tools Is Your Secret Weapon for AI Search Visibility in 2025
A practical 2025 guide to using Bing Webmaster Tools and IndexNow to get your site discovered and cited by AI answer engines (ChatGPT, Copilot). Includes quick setup, workflows, KPIs, and advanced tactics to boost LLM-driven visibility.
•6 min read
Search Engine Algorithms Explained
A 2025 guide to how modern search algorithms work — from crawling and indexing to LLM-powered retrieval and generative answers — plus a practical five-step playbook to optimize content, schema, and internal linking for both traditional SEO and Generative Engine Optimization (GEO).
•6 min read
Do Core Web Vitals Matter for LLMs? A Complete overview
Explores whether Core Web Vitals still matter for LLM answer engines in 2025, outlines six indirect ways CWV influence LLM visibility and SERPs, and provides a practical checklist to optimize for both SEO and LLMO.
•7 min read
Understanding RAG-Aware Content Generation in the Context of SEO
Explains Retrieval-Augmented Generation (RAG) and practical RAG-aware SEO tactics — chunking, embeddings, schema, freshness and vector-friendly internal linking — plus a repeatable workflow to make content discoverable by AI answer engines.
•7 min read
How to Create a SEO Blog for AI SEO?
A step-by-step roadmap to build an AI-ready SEO blog in 2025 — covers strategy, tech stack, LLM-friendly formats, JSON-LD, internal linking and automation to scale organic and generative visibility.
•6 min read
Implementing JSON-LD for AI SEO
Practical guide to implementing JSON-LD to boost both traditional SEO and generative/AI visibility — includes schema types, a five-step workflow, validation at scale, and automation tips.
•8 min read
Is WordPress Good for Large Language Model Optimization (LLMO) and SEO?
A practical guide evaluating WordPress for Large Language Model Optimization (LLMO) and SEO — strengths, pitfalls, a 7-step checklist, and when to choose WordPress, Webflow, or a headless stack.
•5 min read
What is Answer Engine Optimization (AEO)? A Complete Overview
A complete guide to Answer Engine Optimization (AEO): how to structure answer-first content, add schema and licensing, and measure citation share to win visibility in AI-powered answer engines.
•7 min read
Perplexity Optimization 101: How to Earn Citations and Clicks Beyond Google
Practical guide to Perplexity Optimization: earn citations and clicks beyond Google with the PERPLEX framework—entity signals, answer blocks, schema, and monitoring for AI-driven discovery.
•6 min read
How to Refresh Old Content for the AI Era: A Practical Guide
A practical step-by-step guide to modernizing legacy blog posts for the AI era — make content machine-readable, citation-worthy and LLM-friendly with answer blocks, entity-rich schema, and automated internal linking to regain AI and organic visibility.