Field-tested AI SEO strategy and research.
Original studies, playbooks, and teardowns from the Peralytics team. Built from real engagements, not recycled tweets.
Topical clusters across the AI SEO landscape.
Every category goes deeper than a single article. Together they form a topical map of how AI search actually works.
AI SEO
16 articlesStrategy, frameworks, and field-tested playbooks for winning visibility across every AI-powered search surface.
Explore topicGenerative Engine Optimization
1 articleHow to earn citations inside Google AI Overviews, Bing Copilot, and other generative search features.
Explore topicAnswer Engine Optimization
2 articlesBecoming the source that answer engines like Perplexity and You.com quote, link, and recommend.
Explore topicLLM SEO
2 articlesShaping how ChatGPT, Claude, and Gemini describe your brand at both training-time and retrieval-time.
Explore topicTechnical SEO
5 articlesCrawlability, performance, and architecture choices that affect both classical and AI search.
Explore topicSchema & Structured Data
2 articlesPractical guides to schema.org markup, JSON-LD, and structured data for AI-readable content.
Explore topicAI Search
3 articlesHow AI search works, how it changes user behavior, and what brands should do about it.
Explore topicAI Overviews
4 articlesResearch, teardowns, and tactics for the AI-synthesized answers Google now shows above organic results.
Explore topicEntity SEO
3 articlesBuilding the entity, topic, and authority signals that AI engines use to choose who to cite.
Explore topicLocal AI SEO
6 articlesWinning local and 'near me' queries across AI answers, map packs, and assistant recommendations.
Explore topicThe full archive.
Long-form pieces written for SEO leads, marketing teams, and operators who want to ship, not theorize.
AI Search and Near Me Queries: What Changed
How AI search changed 'near me' queries for US businesses, and the signals that decide who gets named.
Google Business Profile and AI Search: What Matters Now
How Google Business Profile feeds AI search recommendations, and the depth that decides who gets named.
AI SEO for Multi-Location Businesses: A Scaling Playbook
How multi-location US brands should structure AI SEO across 10, 100, or 1,000+ locations without losing per-market performance.
Local AI SEO Strategies That Actually Work
The local AI SEO strategies that consistently move 'near me' visibility for US businesses.
Topical Authority for AI SEO: Going Deep, Not Wide
Why AI engines reward depth over breadth, and how to build a topical cluster that earns citation share instead of clutter.
SEO Content That Gets Cited: The Eight Traits
The eight traits that show up in content AI search engines actually cite. Real patterns, not buzzwords.
AI-Friendly Content Writing: Habits That Actually Help
How to write content AI search engines can use without sounding robotic. Real habits that help, with examples.
SEO Content for AI Overviews: What Actually Gets Cited
How to write SEO content that earns citations in Google AI Overviews. The patterns that work, with examples.
How to Structure Content for AI Search
A practical guide to structuring web content so AI search engines can use, quote, and cite it.
Technical SEO for AI Retrieval: The Retrieval-Layer Playbook
Technical SEO focused on the retrieval layer. The signals AI engines use when they fetch and rank pages for live citations.
Schema Markup for AI Search: A Practical How-To
A practical how-to for schema markup that helps AI search. Which types to deploy, in what order, and what to validate.
Entity SEO Explained: A Plain-Language Introduction
Entity SEO in simple terms. What entities are, why AI engines lean on them, and the first three things to do about it.
Website Architecture for AI Search: A Practical Guide
How to design a website architecture that AI engines can crawl, understand, and cite. URL structure, navigation, and topical organization.
Internal Linking for AI SEO: Signals That Compound
How internal linking shapes AI search visibility, and the patterns that compound citation share across topics.
How Perplexity Citations Work
How Perplexity picks the three to five sources cited inside every answer, and what shifts who gets cited and who gets skipped.
How ChatGPT Finds Information About Your Website
How ChatGPT actually finds information about your website. Training data, live browsing, and the patterns that shape what the model says.
How Google AI Overviews Choose Sources
What we know about how Google AI Overviews select the two to five sources cited inside each answer.
How AI Crawlers Read Websites: What Bots See and What They Skip
How AI crawlers like GPTBot, ClaudeBot, and PerplexityBot fetch and read websites. What they can see, what they skip, and how to make pages readable.
How AI Search Engines Work: A Clear Explainer
How AI search engines actually work, from query to cited answer. Plain language for business owners and marketing teams.
AI SEO for Enterprise Companies: Programs That Scale
How enterprise brands should structure AI SEO across regions, products, and teams. Governance, measurement, and the work that actually scales.
AI SEO for Startups: A Focused Playbook for Seed to Series B
How early-stage startups should approach AI SEO. Tight scope, fast wins, and the patterns that compound when budgets are limited.
The Best AI SEO Strategies for 2026
The AI SEO strategies that have worked across our US engagements. Concrete, prioritized, and tied to outcomes.
AI SEO Ranking Factors: The Ten That Matter Most
The ten AI SEO ranking factors that move citation share most across Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini.
AI SEO Checklist: The Items That Actually Move Citation Share
A practical AI SEO checklist for US brands. Foundations, technical, content, entity, and authority items, prioritized by impact.
Citation Optimization: How to Get Cited by AI Search Engines
Practical methods for earning citations across Google AI Overviews, Perplexity, ChatGPT, and Claude. On-page work, off-page work, and how to know it's working.
Content Structure for AI Retrieval: How to Write Pages That Get Quoted
The structural patterns AI engines reward. Direct answers, defined entities, H2 question-answer pairs, citation density. Practical rewrites for pages you already have.
What Is an AI SEO Company? A Clear, Practical Definition
An AI SEO company helps brands get found, cited, and recommended across AI-powered search. Here is what they actually do, how they differ from traditional agencies, and how to choose one.
SaaS SEO Guide for 2026: AI Search, Classical Rankings, and Pipeline
A practical SaaS SEO guide for US B2B brands. What's changed with AI search, what still works, and the priorities for the next 12 months.
Small Business SEO Guide: Practical AI Search for US Owners
A focused SEO guide for US small businesses. The few things that matter, what to skip, and how to compete against bigger budgets through AI search.
AI SEO vs Traditional SEO: What Stays, What Changes, What Dies
An honest comparison of AI SEO and traditional SEO. Where the disciplines overlap, where they differ, and how to decide which to invest in first.
Local AI SEO Field Guide: How to Win 'Near Me' AI Answers
A field guide to local AI SEO for US businesses. Multi-location scaling, voice search behavior, and the signals AI assistants actually use for local recommendations.
What Is Generative Engine Optimization (GEO)?
Generative Engine Optimization is the practice of being cited inside AI-generated search answers. Here is what GEO is, why it matters, and how to start.
Schema for AI Search: A Deep Dive on What Actually Helps
A grounded deep dive on schema for AI search engines. Which types matter, how to deploy them, common implementation mistakes, and what actually moves citation share.
What Is Answer Engine Optimization (AEO)?
Answer Engine Optimization is the practice of being cited inside AI answer engines like Perplexity, You.com, and Arc Search. Here is what AEO is and how to do it.
AI Overview Citation Patterns: What Gets Cited and Why
Patterns from cross-engine analysis of thousands of AI Overview citations. Page types that win, content patterns that recur, and what differentiates cited sources from skipped ones.
What Is LLM SEO? Shaping What ChatGPT, Claude, and Gemini Say About You
LLM SEO is the practice of influencing what large language models say about your brand. Here is what it is, how it works at training-time and retrieval-time, and how to start.
AI SEO Mistakes US Brands Keep Making (And How to Fix Them)
The patterns we see most often when US brands struggle in AI search, and the fixes that work. Honest, specific, no fluff.
How to Rank in AI Search Results: A Practical Guide
A direct, no-fluff guide to ranking in AI search, across Google AI Overviews, ChatGPT, Perplexity, Gemini, and Claude. The signals, the structure, and the work in priority order.
AI SEO Glossary: The Terms You Actually Need to Know
A reference glossary of AI SEO terms. Defined clearly, with examples and the surfaces each applies to. Useful for marketing leads, founders, and SEO teams.
How AI Overviews Change SEO (And What to Do About It)
AI Overviews shifted what wins in search. Here is what changed, what stayed the same, and how to update your SEO strategy without overreacting.
GEO vs AEO vs SEO: What's the Difference, and What Do You Need?
A direct comparison of Generative Engine Optimization, Answer Engine Optimization, and traditional SEO. Where they overlap, where they differ, and how to decide which to invest in.
Entity SEO for AI Search: How AI Engines Decide Who You Are
Entity SEO is one of the strongest predictors of AI search visibility. Here is what an entity is, why AI engines rely on them, and how to strengthen yours.
Technical SEO for AI Search Engines: The 2026 Checklist
A focused technical SEO checklist for the AI search era. Crawl access, schema, llms.txt, rendering, and internal linking. Covering the signals that actually matter.