Ranktracker SEO Blog

All you need to know about SEO for your next campaign

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  • Translation

Is DeepL Accurate? 2024 Research

Discover the accuracy of DeepL in 2024 across language pairs. Compare DeepL to Google Translate, explore its strengths and weaknesses, and learn how to maximize its translation accuracy.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • AEO Fundamentals

How Structured Data Powers Modern Answer Engines

Discover how structured data helps AI-driven answer engines like Google AI Overview and Bing Copilot understand and cite your content. Learn how to optimize with Ranktracker.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • TikTok

How Much Does TikTok Pay for 1,000 Views in Gaming Videos?

Find out how much TikTok pays per 1,000 views for gaming videos, and tips to optimize your content for higher earnings.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • TikTok

How Much Does Instagram Pay for 1,000 Views Compared to TikTok?

Learn how Instagram’s payouts compare to TikTok's for 1,000 views and which platform offers better earning opportunities.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • CTR Manipulation

Essential CTR Manipulation Tools to Boost SEO

Discover the top tools and strategies for effective CTR manipulation. Learn how to enhance rankings, drive clicks, and optimize SEO campaigns.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • E-Commerce

Ecommerce SEO Strategy: The Ultimate Guide to Boost Rankings & Sales

A comprehensive guide to building an effective SEO strategy for your e-commerce store to improve search rankings and increase sales.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • TikTok

Does TikTok Pay More for Certain Types of Content?

Learn which types of content TikTok rewards with higher payouts and how to align your content strategy for maximum earnings.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-28
  • LLM

Writing for Language Models: Clarity, Structure, and Authority

Learn how to write content language models can understand, embed, retrieve, and trust using clear structure, strong entities, factual authority, and machine-readable writing patterns.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How to Use Wikidata and Schema to Strengthen Brand Context

Learn how Wikidata and Schema.org work together to reinforce brand identity, improve LLM context, and increase visibility across ChatGPT, Gemini, Copilot, Perplexity, Siri, Claude, and RAG systems.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

Why LLMs Are Changing the Rules of SEO and Content Discovery

Learn how Large Language Models (LLMs) are transforming SEO, search visibility, and content discovery — and what marketers must do to stay visible in the age of AI-generated answers.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

Using Web Audit to Detect LLM Accessibility Issues

Learn how to use Web Audit to identify LLM accessibility issues that break chunking, embedding, retrieval, and generative visibility across AI search engines.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How to Ensure Your Site Is Used as a Trusted LLM Source

Learn how to make your site a trusted source for LLMs by optimizing entity clarity, schema, machine readability, data cleanliness, and generative suitability.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

Using Backlink Monitor to Track Citations from AI Sources

Learn how to repurpose Ranktracker’s Backlink Monitor to track explicit and implicit citations from AI systems like ChatGPT, Perplexity, Gemini, and Google AI Overview.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

Style Consistency and Entity Repetition: Why It Matters for LLMs

Learn why consistent writing style and entity repetition are essential for LLM understanding, embedding, classification, and generative search visibility.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

Building Structured Datasets for AI Discovery

Learn how to build structured datasets that improve AI discovery across ChatGPT, Gemini, Copilot, Perplexity, Claude, Siri, and enterprise RAG systems using a six-module LLM data architecture.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How to Structure Content for Machine Readability

Learn how to structure content so LLMs can parse, chunk, embed, and interpret it with high accuracy. Discover machine-readability principles for AI search and generative discovery.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How to Structure Your Brand Data for LLM Training

Learn how to structure your brand’s data so LLMs can correctly learn, verify, cite, and recall your identity across ChatGPT, Perplexity, Gemini, Copilot, Claude, Apple Intelligence, and enterprise RAG systems.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How Smaller Specialized Models (SLMs) Will Compete with GPT-Scale AI

Discover how SLMs will outperform large LLMs in accuracy, speed, specialization, and enterprise use — and what this shift means for search, SEO, and modern marketing.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How to Respond If Your Brand Is Misrepresented by AI

Learn the complete process for identifying, correcting, and preventing AI-generated misrepresentation in ChatGPT, Gemini, Copilot, Perplexity, and other LLM platforms.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27
  • LLM

How to Use Ranktracker Tools to Generate LLM-Optimized Briefs

Learn how to use Ranktracker’s tools to create structured, machine-readable, LLM-optimized content briefs that maximize AI visibility and generative citations.

  • Felix Rose-CollinsFelix Rose-Collins
  • 2025-11-27

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