Why AI Already Has an Opinion of Your Brand
And How to Change It
PRAVEEN MALOO
Now available on Amazon
Order on Amazon→What determines whether your brand is cited as the answer when a buyer asks [AI] who to trust?
The question at the centre of this book
The part of the buying journey you cannot see
In The Citation Economy, Praveen Maloo makes a deliberately narrow claim: some buyers now use answer products during research before a vendor can observe any direct engagement.
When that happens, ordinary analytics miss an early part of consideration — and can fail to surface inaccurate public information about you. If a material segment of your buyers research this way, absence or misrepresentation there can reduce early consideration.
This is not a prediction that AI will replace search. Search still matters. Content still matters. Demand generation still matters. The book's argument is simpler: you cannot fix what you cannot see.
Old playbook meets new architecture
Referral Analytics
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The Evidence Environment
Measuring answer-engine visibility only as referral traffic is incomplete. Some AI-assisted journeys create cited visits your analytics can observe; others stay private until a buyer self-reports or contacts you. What you can manage is the public evidence an answer draws on.
Inferring The Algorithm
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Testing Observed Outputs
Providers do not publish one universal trust formula, and the internal cause of any single answer is not observable from outside. The practical discipline is to test outputs on a documented cadence rather than infer hidden weights.
Owned Media Alone
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Third-Party Evidence
A costly mistake is assuming owned media alone creates a complete evidence environment. Large citation datasets have found substantial third-party sourcing — though the share depends on the query, the product, and the category.
Guaranteed Mentions
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An Honest ROI Case
A promised visibility lift by a fixed date, guaranteed mentions, claims about training-data manipulation, and a monthly fee without a reproducible method are red flags. The book argues for a measurement framework that can tell you when to stop.
Nineteen chapters, three parts, and a playbook you can run by hand
Why the top of the funnel changed shape — and why pipeline reports can miss the part of consideration that happens before a buyer ever reaches you. (Ch. 1–3)
An honest ROI conversation: how to build the business case for AEO without promising guaranteed mentions or a fixed date. (Ch. 4)
What is and isn’t observable inside the black box, and the evidence environment where answers find support. (Ch. 5–6)
Platform-by-platform testing — recording product mode, date, and location so a prompt test produces data rather than an anecdote. (Ch. 7)
When AI gets it wrong: an incident-response playbook for outdated facts, fabrications, entity collisions, and unrepresentative framing. (Ch. 9)
The AEO audit, entity profile, content architecture, and technical controls — plus a scoring rubric you can run by hand. (Ch. 10–14, Appendix A)
Get the book
Available now on Amazon in Kindle. Paperback from August 15.
Order on Amazon→