Resources
A curated library of AI influence playbooks, whitepapers, templates, and insight articles from the KHB team — practical tools to help you engineer how AI models see, cite, and recommend your brand.
Built by practitioners, not commentators
AI influence is a new discipline with very little practical, end-to-end guidance. We built the library we wished existed when we started.
Generative Engine Optimization and AI influence management are barely three years old as commercial disciplines. Most public material is either vendor marketing or academic theory, and almost none of it walks a brand team through the full sequence — from auditing current AI visibility to deploying content that actually shifts what ChatGPT, Claude, and Gemini recommend. The KHB library is built to close that gap with field-tested playbooks rather than opinion pieces.
Our team brings together practitioners from AI labs, independent research institutions, and global brand consultancies. That mix matters: AI-native engineers understand how models retrieve and weight information, while brand strategists understand how visibility translates into pipeline. Every resource on this page is reviewed by both sides before publication, so the technical claims and the marketing recommendations stay consistent with each other.
Almost everything here is free and requires no registration. We publish four resource types: Whitepapers for deep, methodology-grade reports; Playbooks for step-by-step operational guides; Templates for downloadable, ready-to-use worksheets and audit tools; and Insights for shorter analytical articles on emerging trends. A small number of long-form benchmark reports are reserved for advisory clients and are clearly marked. We add two to three new resources every week, so the library compounds over time.
Start here — three most-downloaded resources
The three pieces our readers return to most often, chosen because they cover the full arc from diagnosis to execution.
The Complete Guide to Generative Engine Optimization (GEO)
The foundational whitepaper that defines GEO as a discipline. Covers foundational concepts through full deployment of the KAIF methodology, including optimization strategies across eight major AI models — ChatGPT, Claude, Gemini, Perplexity, Copilot, DeepSeek, Meta AI, and Grok. Includes model-specific retrieval patterns, citation source analysis, and a 90-day rollout plan.
12,400+ downloads
The AI Influence Playbook 2026
A 12-step operational playbook for building an AI influence program from zero. Includes printable worksheets, prioritization checklists, stakeholder scripts, and a 30/60/90-day action plan that maps every task to a measurable outcome. Designed for marketing and growth teams who own AI visibility for the first time and need a defensible internal plan within a week.
8,200+ downloads
AI Citation Audit Template
A downloadable Excel template for running a structured citation audit across AI models. Ships with 50+ diagnostic queries calibrated for B2B and B2C use cases, automated scoring formulas for visibility and sentiment, a competitor comparison matrix, and a one-click summary dashboard. Drop in your brand and three competitors; the template does the rest.
5,100+ downloads
Together these three resources cover the complete journey: understanding the discipline (whitepaper), building the program (playbook), and measuring baseline performance (template). Most teams start with the GEO whitepaper to align internal language, run the citation audit template to establish a baseline, and then adopt the 12-step playbook to operationalize the work.
Operational guides for every stage of your AI influence program
Step-by-step playbooks written for practitioners — each one assumes you have limited time and need a defensible plan by Friday.
Getting Started with GEO
An entry-level guide for marketing teams encountering AI influence for the first time. Defines the vocabulary, explains how AI models differ from search engines, and walks through a first-week diagnostic you can run with zero budget. Ideal for aligning a cross-functional team before committing to a vendor or methodology.
The KAIF Methodology Implementation Guide
A field manual for deploying the four-phase KAIF methodology — Knowledge, Authority, Influence, and Future-proofing. Each phase includes sequencing rules, ownership matrix, quality gates, and common failure modes we have observed across 200+ deployments. Read alongside the GEO whitepaper for full context.
Cross-Border AI Influence Strategy
For brands operating across multiple language markets. Covers model dominance by region (ChatGPT in the US, Doubao in mainland China, Claude in developer communities), translation-vs-localization decisions for AI content, and how to prioritize markets when retrieval behavior differs between geographies.
AI Crisis Response Playbook
When an AI model misrepresents your brand — citing outdated financials, hallucinating product features, or recommending a competitor — response windows are measured in hours. This playbook covers detection, escalation, model-specific correction pathways, and the content interventions that restore accurate representation within 14 days.
Measuring AI Influence: KPIs & Metrics
The metrics framework most boards ask for but few teams can deliver. Defines visibility share, citation depth, recommendation share, and AI sentiment as the four primary KPIs, with calculation methods, sample sizes, confidence intervals, and benchmark ranges drawn from 12 industries. Includes board-ready reporting templates.
Each playbook is written to be standalone — you do not need to read them in order. That said, teams building a program from scratch typically progress from Getting Started with GEO through the KAIF Implementation Guide, add the Measurement playbook once they have a baseline, and keep the Crisis Response playbook on standby for the inevitable moment a model drifts. Cross-border brands layer in the regional strategy guide once domestic visibility is stable.
Quarterly benchmarks and original research
Empirical studies on how AI models actually behave — based on millions of prompts run across our research infrastructure.
Q1 2026 AI Influence Benchmark Report
The first industry-wide benchmark for AI influence, covering 1,400 brands across 12 industries. Reports visibility share, citation patterns, and recommendation share by sector, with year-over-year trend lines. Free summary; full report available to advisory clients.
The Citation Economy: Who AI Trusts
A study of 2.4 million citations across ChatGPT, Claude, Gemini, and Perplexity. Identifies the 180 domains that account for 64% of all citations, the editorial patterns that earn repeated citation, and the gap between SEO authority and AI authority.
Cross-Model Consistency Study
How often do eight major AI models agree on a brand recommendation? Our 6-month study of 480 brands finds an average consistency of just 41%, with sharp divergence on long-tail queries. Implications for brand measurement methodology and reporting cadence.
AI Hallucination Impact on Brands
A first-of-its-kind quantification of brand harm from AI hallucinations. Tracks 90 incidents across 18 months, classifies impact severity, and proposes a taxonomy of hallucination types — from fabricated executive quotes to nonexistent product features — with response protocols for each.
Research reports are published quarterly and follow a transparent methodology — every study lists its prompt corpus, model versions, sampling window, and statistical approach. The full methodology appendix is downloadable alongside each report. We treat reproducibility as a baseline requirement: any reader should be able to rerun a study's core claims with their own brand and arrive at comparable directional results, even if absolute numbers differ.
Short-form analysis on what is changing right now
Five-to-ten-minute reads on the questions our advisory clients ask most often this quarter.
Why ChatGPT Recommends Some Brands and Not Others
A breakdown of the retrieval and ranking signals that distinguish recommended brands from named-but-not-recommended ones. Spoiler: it is rarely about volume.
The Hidden Cost of AI Invisibility
A modeling exercise on pipeline loss when a brand is absent from AI recommendations in a category where 30% of buyers now start research with an AI assistant.
Claude vs. Gemini: Recommendation Logic Differences
Side-by-side comparison of how Claude and Gemini select recommended brands, with practical implications for which content surfaces in each model.
How Perplexity Sources Citations
A walkthrough of Perplexity's citation pipeline — which sources it privileges, how recency weights in, and what makes a domain "citation-worthy" in 2026.
The Rise of AI-Native Consumers
Survey data on the 23% of buyers who begin every purchase journey inside an AI assistant, what they ask, and what makes them switch to a search engine or human advisor.
From SEO to GEO: The Marketing Shift
A practical migration framework for SEO teams expanding into Generative Engine Optimization — what transfers, what does not, and which habits actively hurt AI visibility.
Insight articles are deliberately short — they cover one question with enough rigor to be useful but without the overhead of a full playbook. We publish two to three new insights each week, often in response to questions raised by advisory clients or by notable shifts in model behavior following an upstream release. If you have a question you would like us to address, email insights@khb.com.
Watch the KHB team break it down on YouTube
For when reading is not the right format — short, practical videos hosted on the KHB YouTube channel.
Our video library is the companion to the written resources above. The same practitioners who write the playbooks record walkthroughs, model teardowns, and case-study debriefs, so the depth carries over without the formatting overhead. New videos are published every other week, and the most-watched ones are recut into updated versions as AI models evolve.
AI Influence 101
A 15-minute primer for anyone new to the discipline. Defines AI influence, separates it from SEO and brand monitoring, and shows three real prompt responses annotated step by step.
KAIF Methodology Deep Dive
A 45-minute walkthrough of all four KAIF phases with the lead architect of the methodology. Includes the rationale behind each phase and the failure modes that motivated specific design choices.
Real Case Study Teardown
A 30-minute breakdown of an unnamed client engagement — the baseline, the 90-day intervention, and the measured lift in AI visibility across four models. Includes the moments where the plan did not work as expected.
AI Model Comparison Test
A 20-minute live test where we run identical prompts across eight AI models and compare the responses in real time. Useful for understanding just how much model choice shapes brand visibility.
All videos are free to watch and do not require a YouTube account. Where a video covers a topic also addressed in a written resource, we link the two so you can move between formats depending on how much time you have and whether you are watching with sound.
Common questions about the resource library
Short answers to the questions we hear most often. If yours is not here, email resources@khb.com.
Are all resources really free?
Yes. Every playbook, template, and insight article on this page is free to download and read. A small number of long-form benchmark reports are reserved for advisory clients, and those are clearly marked with an Advisory tag. The vast majority of our library — including all playbooks and templates — requires no payment and no registration. We treat the library as a public good: the more brand teams understand AI influence, the more demand there is for our advisory work, so giving away the playbook is good business, not charity.
Do I need to register to download?
No registration is required for standard downloads. Playbooks, templates, and insight articles are direct downloads — click the link and the file arrives. If you subscribe to the monthly AI Influence Briefing, you only share your email address for newsletter delivery, and it is never used for unsolicited sales outreach. We have all been on the receiving end of aggressive B2B sequences and we are not interested in being that company.
How often are new resources added?
We publish two to three new resources every week, alternating between playbooks, insight articles, and templates. Benchmark reports are published quarterly, in alignment with our research cadence. Subscribers to the monthly briefing receive an advance preview of upcoming releases during the first week of each month, so they can plan internal readouts and stakeholder briefings before resources go public.
Can I republish KHB content on my blog?
You may quote up to 100 words of any resource with attribution and a do-follow link back to the original. Full republication, including translations and adaptations, requires written permission from KHB Group. Reach out via info@khb.com with your request, audience size, and intended use — we approve most reasonable requests within two business days.
Do you offer resources in other languages?
Yes. Our flagship resources are published in both English and Traditional Chinese (zh-HK). Simplified Chinese versions of selected whitepapers are available for enterprise clients on request. We are expanding into Japanese and Korean throughout 2026 as AI model coverage in those languages matures — reach out if your team would benefit from early access to localized editions.