#Playbook

SEO Tutorials Mar 16, 2026

Digital PR for LLMs: How to Get Quoted in AI Answers (Not Just Google News)

Digital PR was originally optimized for two audiences: human journalists looking for stories, and Google's news indexing system looking for fresh authoritative content. In 2026 a third audience has become the dominant one — language models building their summaries of your category. The craft of PR has to shift accordingly. This post lays out how the discipline is changing, what still matters from the old playbook, and what specifically you should write differently when the goal is to be quoted in AI answers.

#For CMOs #Citations #Digital PR

Industry Insights Mar 13, 2026

GEO for Fintech: Earning LLM Trust in a Category Full of Scam Warnings

Fintech founders running their first AI visibility audit are often caught off-guard by a specific finding: the major language models describe their legitimate, regulated company with a level of skepticism they would not apply to a similarly-aged B2B SaaS in another category. That skepticism is not arbitrary. It is the product of how models are trained to handle financial topics — a category that is saturated with scam warnings, regulatory disclaimers, and fraud-adjacent content. Young fintech brands inherit that category-level caution by default. This piece unpacks why, what specifically the caution looks like in a fintech audit, and what legitimate fintech brands can do to push past the category-level skepticism into accurate, trust-weighted description.

#Sentiment & Authority #Fintech #Playbook

Tutorials Strategy & ROI Mar 12, 2026

"Why Not Just Ask ChatGPT Ourselves Every Week?" — The Real Cost of Manual Auditing

The most reasonable-sounding objection to AI visibility tooling is "we can just do this ourselves." A marketing coordinator opens ChatGPT on Monday morning, asks a few questions about the brand, pastes the responses into a shared document, and calls it measurement. It works for one person on one afternoon. It does not work as a repeatable process. This post walks through the true cost of manual auditing — in hours, in consistency, and in the specific things the human eye cannot reliably track — and compares it to the $79-a-month alternative that most marketing teams have not properly costed.

#LLM Monitoring #Playbook #Myth-Busting

SEO Tutorials Mar 10, 2026

The Entity-First Content Playbook: Structuring Pages for AI Retrieval

The content playbook that served SEO for a decade was keyword-first. Pick a target phrase, cluster supporting topics around it, match search intent, earn links. That playbook still works for Google — but it leaves a significant amount of AI visibility on the table. LLMs do not ingest pages as bags of keywords. They parse them as webs of entities and relationships. Restructuring content to match how the model actually parses is the difference between being retrieved in an answer and being skipped. This is the playbook.

#For SEO Managers #Schema Markup #Content Strategy

Industry Insights Mar 9, 2026

GEO for Cybersecurity: Getting Described Correctly in CISO Queries

Enterprise security buyers — CISOs, security architects, and their teams — are among the heaviest business users of language models for vendor research. The pattern is consistent across the Forrester and HBR coverage of B2B AI adoption: technical buyers in regulated functions use AI to compose their initial vendor shortlist, then move into more traditional evaluation motions (demos, references, POCs). For cybersecurity vendors, how a language model describes the product when a CISO asks about the category is a direct pipeline input. This piece unpacks what CISOs actually ask models, why cybersecurity as a category has distinctive visibility patterns, and what vendors should be doing to be described correctly in those conversations.

#For CMOs #Cybersecurity #Playbook

Tutorials Mar 7, 2026

Prompt Patterns That Reveal Weak Spots in Your AI Visibility (Run These This Week)

Before you buy a GEO tool, before you hire a consultant, before you commission an audit — sit down with ChatGPT, Claude, Gemini, Grok, and DeepSeek for fifteen minutes and run the eight diagnostic prompts in this post. They will surface most of the obvious gaps in how LLMs describe your brand. You will not get a 150-point structured score out of the exercise, but you will get enough signal to know whether you need to invest in serious measurement or not.

#For Founders #For SEO Managers #AI Visibility

SEO Industry Insights Mar 6, 2026

GEO for DevTools: The Stack Overflow / GitHub / HN Citation Stack

Developer tools live and die by a specific set of citation sources that do not matter — or matter much less — for other categories. Stack Overflow answers, GitHub issues and READMEs, Hacker News threads, and the engineering blogs of well-regarded technical teams do disproportionate work in how language models describe developer-facing products. This piece walks through why the devtools citation stack looks the way it does, what it means for how models compose answers about technical products, and what a serious GEO program looks like for a company selling to engineers in 2026.

#For Founders #Citations #DevTools

Tutorials Strategy & ROI Mar 4, 2026

The Quarterly AI Visibility Review: A Board-Ready One-Page Template

Your board will not read a forty-slide deck on AI visibility. They might read a one-page quarterly review if it is structured the way they structure the other channel reviews. This post is that template — the data to include, the narrative to build around it, and the footnotes to prepare because someone will ask. It is written for CMOs and heads of marketing who need to add AI visibility to the quarterly business review without adding a new meeting to do it.

#For CMOs #Playbook #Framework

Industry Insights For Agencies Mar 3, 2026

GEO for Agencies: Packaging AI Visibility as a Client Service Line

Digital agencies, SEO shops, and marketing consultancies are in the middle of a service-line shift. Clients are starting to ask about AI visibility — whether by name or by symptom — and the agencies that have a coherent offering ready are in a materially stronger position to retain accounts through the transition. This piece is for agency owners and heads of services thinking about how to package Generative Engine Optimization (GEO) as a client service line: how to scope it, what to charge, how to deliver, and how it fits into existing SEO and content retainers without cannibalizing them. The retention argument is the one that matters most right now.

#For Agencies #Playbook

SEO Tutorials Mar 1, 2026

AI Visibility in 10 Minutes a Week: A Minimalist Operator's Checklist

The operator reality in most mid-market companies: someone on the SEO or content team just had 'AI visibility' added to their responsibilities, with no additional hours in the week. A realistic routine has to cost ten minutes, not ten hours. This post is that routine — the minimum viable weekly cadence that still keeps your AI visibility from drifting without adding a full day of work.

#For SEO Managers #AI Visibility #LLM Monitoring

Industry Insights Feb 28, 2026

GEO for Local Businesses: When AI Overviews Matter for Your Category

Not every local business needs to act on AI visibility at the same time. The shift from traditional local search toward AI-composed answers is happening at different speeds in different categories. A fine-dining restaurant in a major metro feels the shift at a different pace than a family-owned HVAC company in a suburb, and the correct response for each is different. This piece is about how to read the signals that tell you whether your category is inside the AI-answer transition yet, what changes when it is, and what a sensible, proportionate response looks like for local businesses that do not need the full-on B2B SaaS GEO playbook.

#AI Overviews #Local Business #Playbook