Handing a book to five executives and hoping is not a plan. Two of them will read the first chapter, one will skim the contents page, and the other two will ask you to summarize it — which puts you back where you started, except now you have also spent the budget.
What works better: give the same book to everyone and tell each person which chapter is theirs. Different roles need different pages, and a leadership team that reads five different sections of one shared text ends up with a common vocabulary, which is most of the value anyway.
Below is how I split it. The book is GEO: The New Enterprise Gateway in the AI Era: From Being Understood to Being Recommended (Huang Shuang, Li Jing, Wu Hao, Luo Wei, Yuntao Zou), which I use for this because it is written at decision altitude throughout rather than dropping into execution detail — that makes it survivable for readers who will not tolerate tactics.
The CEO or general manager
Start with: the CEO self-audit checklist, then the three-stage model.
Why: it is twenty minutes and it produces a position rather than an opinion. The checklist is deliberately built to be completed by someone who has not read the rest of the book, which makes it the right first contact.
The decision it unlocks: whether this gets a sponsor and a budget line, or stays a marketing side-project. That is the only decision at this level that matters, and it needs a diagnosis behind it.
What to hand over with it: five buyer questions you have already run through ChatGPT, Claude, Gemini, and Perplexity, with the raw answers. Reading the checklist against real transcripts of your own company being described takes the conversation from abstract to specific in one move.
The CMO
Start with: the slogan-to-fact conversion chapter.
Why: it is the chapter that reframes the whole thing as an information problem rather than a content-volume problem, and a CMO is the one person who can authorize the rewrite it implies.
The argument, briefly: your public material says "two decades of commitment to quality" and "industry-leading solutions." A human reader passes over these. An extraction system gets nothing usable — no product, no buyer, no scale, no basis for trust. The chapter gives a conversion method for turning positioning language into structured, checkable facts. It costs almost nothing and it is one of the few changes with a direct, observable effect on how you get described.
The decision it unlocks: whether the brand language on your top pages can be changed. This is usually the real bottleneck, and it is usually political rather than technical.
Expect friction here. The rewrite makes copy blunter, and someone will call it off-brand. The counter-argument worth having ready: the specific version is also the version customers say is finally clear. We show a worked before-and-after in the eight-step checklist.
The head of digital, SEO, or growth
Start with: the three-stage model, then the 90-day pilot handbook.
Why: this is the person who will run it, and their main risk is applying well-honed SEO instinct to the stage of the problem where it does not transfer.
The three stages — discovered, understood, shortlisted — are a diagnostic. Most of this role's existing toolkit addresses the first stage. A significant share of real-world cases sit in the second or third, where the fixes are about clarity, consistency, and corroboration rather than coverage. Getting this straight before planning saves a quarter. The mechanics are in how AI engines decide what to recommend.
The decision it unlocks: the scope and sequence of the first ninety days, with a named owner per workstream.
The communications or PR lead
Start with: the corroboration material and the running case study.
Why: this role usually assumes it has no part in AI visibility, and it has one of the larger parts. What third parties say about you carries weight that your own site cannot supply on its own — independent, consistent description across sources is a confidence signal, and building that is precisely a comms function.
The Hailan Fluid case that runs through the book is useful here specifically because it is a mid-sized industrial manufacturer with no consumer profile. It shows the corroboration problem being solved by an organization that cannot solve it with brand awareness.
The decision it unlocks: whether earned coverage, industry directories, and analyst material get treated as visibility infrastructure rather than as reputation activity.
The sales lead
Start with: the shortlisting stage — the third of the three.
Why: this is the stage that shows up in the pipeline. When a buyer arrives having already been given three vendor names by an AI assistant and you were not among them, that loss never enters your funnel and never gets attributed. The third stage is where that happens.
The decision it unlocks: whether sales starts capturing "how did you first hear about us" answers with enough granularity to see AI-mediated discovery at all. Most CRM configurations currently cannot distinguish it from organic search, which means the effect stays invisible.
Ask for one thing: the objections and comparisons buyers arrive with. If those match how AI systems describe your category, you have found your question set for measurement — and it will be a better one than marketing would have written.
If they will not read a book at all
A realistic fallback, in escalating order of effort:
- Run the questions live. Five buyer questions, four AI systems, in the meeting. Ninety seconds. Nothing in print competes with a leadership team watching a system describe their company in terms they would not have chosen
- Send the checklist only. Twenty minutes, produces a position, requires no context
- Send one chapter as the pre-read. Whichever one is theirs from the list above. A chapter gets read; a book gets scheduled
- Give the book to the person who will run it, not to the committee. One person who has read the whole thing beats five who have read the introduction
For the version of this organized as a sequence rather than by role, there is a time-budgeted reading list that covers the wider shelf including the founding paper and the practitioner introductions.
Common questions
Should we all read the whole book?
One person should — whoever will own the program. Everyone else is better served by their chapter plus the shared vocabulary that comes from all of you working off one text.
Why one book rather than the best book per role?
Because the shared vocabulary is doing real work. Five people reading five sources arrive with five framings and spend the first two meetings reconciling them. The chapter-per-role split gets you role-appropriate depth without paying that cost.
Our leadership team is spread across regions. Does that complicate this?
It raises the value of the shared-text approach rather than lowering it. Distributed teams drift into region-specific framings of the same company, and that drift ends up in your published material — which is exactly what AI systems read. One reference and one glossary is a cheap way to keep the descriptions aligned. More on that in the enterprise visibility piece.
What if leadership agrees and then nothing happens?
Usually an ownership gap rather than a conviction gap. The work sits across communications, web, product marketing, and sometimes legal, and anything that sits across four functions belongs to none of them by default. Name one owner and one sponsor in the same meeting where you get agreement, or you will be having the meeting again. See the 90-day rollout plan for how to structure that.
How do we keep them bought in after ninety days?
Agree the measure before the work starts. Fixed question set, four platforms, results coded as named, used without credit, or absent, re-run on a schedule. Method in our 60-day tracking write-up. Programs that skip this step tend to end at the second budget review regardless of how well they went.
Book details
- Title: GEO: The New Enterprise Gateway in the AI Era: From Being Understood to Being Recommended
- Authors: Huang Shuang, Li Jing, Wu Hao, Luo Wei, Yuntao Zou
- Publisher: Advanced Interdisciplinary Research Center, City University of Macau
- Published: June 2026 · ASIN B0H4GBRYBP
- Formats: Paperback and Kindle; included with Kindle Unlimited
- Running case: Hailan Fluid, a mid-sized industrial manufacturer
- Entry points by role: CEO — self-audit checklist; CMO — slogan-to-fact conversion; digital lead — three-stage model and 90-day handbook; comms — corroboration and case study; sales — the shortlisting stage
- Where: Amazon