Resources

Resources Library

The frameworks, benchmarks, and category studies our strategists use with clients — published in the open.

Research papers, analytical diagrams, and a technical book arranged on a precision workspace
Evidence is separated into what platforms document, what independent studies measure, and what remains unverified.

Research & Benchmarks

Category benchmarks, prompt studies, and share-of-voice reports across industries.

Guides

In-depth playbooks on GEO, AEO, entity optimization, schema, and technical AI SEO.

AI Search News

Weekly analysis of ranking, retrieval, and citation shifts across every major AI surface.

Glossary & Tools

The AI SEO vocabulary, plus free diagnostics you can run against your own domain.

Complete guide

Becoming the Answer: How Brands Get Chosen Inside AI Search

Jeremy Osborn's full book, published free — the retrieval pipeline, the five levers of AI visibility, evidence grades, measurement, budget, risk, and a 90-day plan.

Read the guide →
Becoming the Answer book cover — how brands get chosen inside AI search

AI visibility guides

Long-form guides covering AI visibility measurement, auditing, monitoring, and model-level LLM optimization.

Research in progress

Original measurement studies currently in collection. Each one publishes in full on an open, indexable page — no form, no gate. Dates below are the intended publication window.

ResearchQ4 2026

AI Share of Voice in B2B SaaS: What 15 Categories Show About Who AI Recommends

A locked 150-prompt universe across 15 B2B SaaS categories and four engines, measuring citation and recommendation separately — because most vendors only ever win one.

15 categories · ~100 brands · ChatGPT, Perplexity, Gemini and AI Overviews · four weekly re-runs, US English.

Read how AI share of voice is measured →
ResearchQ4 2026

Which Sources Do LLMs Cite in B2B Software Decisions?

Which domain classes ChatGPT, Perplexity, Gemini and AI Overviews actually draw on when buyers research software, benchmarked against the largest published citation datasets.

Every cited domain hand-classified as vendor-operated, review platform, community, news, analyst, reference or documentation.

Read how AI search engines choose sources →
BenchmarkQ4 2026

Cybersecurity AI Share of Voice: Q4 2026 Benchmark

Share of voice, citation velocity and source concentration across 40 cybersecurity vendors and five engines — including why Copilot behaves unlike the others.

60 prompts weighted to the CISO, security architect and SOC analyst buying committee, over a four-week window.

See our cybersecurity AI search work →
Quarterly seriesFirst edition January 2027

What Moved in B2B AI Overviews

A fixed 300-query B2B panel, re-measured monthly, tracking which categories gain and lose AI Overview coverage and how fast cited sources turn over.

Baseline captured 1 October 2026, then monthly re-captures — no edition publishes before there is a real series to compare.

Read the AI Overviews citation guide →

Resource questions

Ranking is no longer enough

You need to be cited, mentioned, and recommended.

Being cited, mentioned, and recommended are three different outcomes, and most brands only ever achieve the first one. Ranking is no longer enough because AI engines answer buyers directly and name only a short list of vendors as the recommendation — everyone else is cited in passing, if at all. Get a free AI Visibility Report to see exactly where your brand appears today across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot, where competitors are winning the recommendation instead, and what's keeping you from moving up the shortlist.