Research and guidance for the age of AI recommendations

GEO strategy

Why AI shortlists matter, how to build credible recommendation evidence, and how to measure GEO without confusing citations with commercial outcomes.

Technical SEO

What structured data can—and cannot—do for AI search, with JSON-LD examples, entity relationships, validation, and a practical rollout plan.

AI search strategy

A practical playbook for buyer questions, credible source content, technical access, AI visibility measurement, and a disciplined 90-day marketing pilot.

Search behavior

Why more searches end without a website visit, how AI Overviews and SERP features drive it, and how to measure and earn visibility when clicks decline.

SEO strategy

How search works, how to improve technical access and content quality, and how to diagnose and measure results without confusing rankings with revenue.

Answer Engine Optimization

A source-led guide to how answer systems find and present information, how AEO differs from SEO and GEO, and how to measure it responsibly.

Generative Engine Optimization

A source-led guide to GEO: its research origin, how generative engines assemble answers, how it differs from SEO and AEO, and how to measure it responsibly.

Perplexity

A source-led guide to how Perplexity searches and cites the web, its modes and products, privacy controls, limitations, and role in business discovery.

Claude

A source-led guide to Claude's models, Constitutional AI training, web search and tools, privacy controls, limitations, and role in business discovery.

Gemini

A source-led guide to Gemini's models, Google Search grounding, research and Workspace tools, privacy controls, limitations, and role in business discovery.

ChatGPT

A source-led guide to how ChatGPT generates answers, uses search and other tools, handles data, makes mistakes, and influences business discovery.

AI visibility

What AI visibility means, how mentions differ from citations and recommendations, how to measure it responsibly, and what brands can improve.

Trust and authority

How experience, expertise, authoritativeness, and trust shape whether ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews name your brand, and what US teams should build.

AI search

A clear, deep guide to AI search optimization for US teams: what it is, how it differs from SEO, the signals that move AI answers, and how to measure it honestly.

Brand visibility

A clear, deep look at how ChatGPT, Gemini, Perplexity, and AI Overviews pick the brands they name, the signals that move the decision, and what US companies can do to earn a place in the answer.

Brand visibility

How answer engines pick which companies to name, and what actually moves the decision.

LLM visibility

A plain-language explanation of large language models: what an LLM is, how it learns, how it decides what to say, and why it now determines which brands get recommended.

LLM visibility

The plain-language explanation of how visibility works inside ChatGPT, Gemini, and AI Overviews.

SEO strategy

Ranking a page and being named in an answer are two different scoreboards. What changes, what carries over, and how to measure each.

ChatGPT

The five real reasons answer engines leave your company out of the shortlist, and a 90 day sequence that fixes it.

SEO strategy

What still works from classic SEO, what no longer moves AI answers, and how US teams evolve a search program without throwing away the work that already ranks.

Trust and authority

How ChatGPT, Gemini, Claude, and Perplexity decide which websites to trust, cite, and name in an answer, and how a US brand can earn that trust on purpose.

AI search

A plain-language guide for US marketing leaders on how AI search actually works, how it differs from Google, and what a brand has to do to show up in the answers buyers receive.

Engine comparison

A clear, deep comparison of Google AI Overviews, ChatGPT, and Perplexity for US marketing leaders: how each answers, how each names brands, and how to measure visibility across all three.

Market analysis

A clear, deep guide for US marketing leaders on how AI search is reshaping digital marketing in 2026: where buyers now decide, what the shift does to traffic and attribution, and what to measure instead of rank alone.

LLM visibility

A clear, deep guide for US marketing leaders on LLM SEO in 2026: what it is, how it differs from traditional SEO, the signals that move AI answers, and how to measure whether your brand is actually being named.

Research methodology

How we run sessions, log evidence, and verify that an engine named you before we bill.