Before a due diligence meeting, the analyst asks an AI what is known about the company: track record, controversies, position in the sector. The answer arrives in seconds, in flowing prose, with the confidence of someone who has read everything. No click happens, no corporate page gets visited. If the synthesis is outdated or wrong, that is the version the meeting starts with.
This behavior is no longer the exception. Gartner has projected a 25% drop in traditional search volume by 2026 as queries migrate to AI assistants. Research that used to end on a results page now ends in an answer — and the contest shifts from "which link ranks first" to "what the answer says."
What AEO is — and how it differs from SEO
AEO (Answer Engine Optimization) is the work of getting the company cited, with accurate information, in the answers of assistants like ChatGPT, Gemini, Claude, and Perplexity. SEO competes for position on a list of links; AEO competes for presence inside a text the user reads as the final word.
The practical difference is stark: in SEO, second place still gets clicks. In an AI answer, a company that is not cited is not part of the conversation — and a company cited incorrectly never gets the chance to explain itself on its own site, because the user never arrives there.
Where AI assistants get what they say
Answers combine two sources: what the model learned in training and what it retrieves from the web at the moment of the question. In both cases, some materials carry more weight:
- Clear, structured first-party content — pages that answer questions directly, structured data (schema.org), facts with dates and sources.
- Entity consistency — the same name, the same description, and the same basic data everywhere the company appears.
- Authoritative third-party sources — press coverage, Wikipedia, industry reports, directories. AI assistants weigh what others say, not just what the company says about itself.
The raw material of the answer is, to a large extent, documented reputation. Crisis coverage with no published resolution, a Wikipedia page frozen in 2019, a corporate site that states no verifiable facts — all of it feeds the synthesis the analyst will read.
Why this weighs more in large operations
In capital-intensive sectors, decisions run through long research cycles: the buyer building a shortlist, the investor in due diligence, the candidate evaluating an offer, the journalist gathering context before the call. All of these audiences already use AI as the first layer of research.
And there is the most sensitive case: crises. An AI answer synthesizes what was published most about a topic. If coverage of the incident was never followed by a documented resolution narrative — investigation concluded, measures taken, monitoring data — the crisis remains the default answer about the company years after it was closed.
Where to start
Audit the answers. Systematically ask the major AI assistants what they say about the company, its executives, its operations, and its controversies — phrased the way clients, analysts, and journalists would phrase them. Record the baseline and repeat the measurement: media monitoring has gained a new outlet.
Structure first-party content. Turn corporate pages into a citable source: direct answers to the questions audiences ask, structured data, dated facts, a public record of milestones. Promotional copy with no verifiable information makes it into no answer at all.
Work the sources AI assistants trust. Press relations, an accurate presence on Wikipedia and in industry directories, participation in market reports. Every published article becomes permanent input for future answers — press work gains a second-order, measurable effect.
Measure presence as an indicator. Citation frequency in answers, factual accuracy, tone — tracked alongside traditional media indicators, with the same discipline.
A new recipient for familiar work
The discipline behind AEO is not new: factual content, information consistency, and reputation built in independent sources have always been the foundation of digital presence. What changed is the recipient — beyond people and search engines, there are now systems that read all of it and answer on no one's behalf.
That is the work of our Digital Presence practice, which includes AI visibility (AEO) among its deliverables: auditing the answers about the company, structuring first-party content and third-party sources, and continuously measuring citation and accuracy — with the gaps documented from the initial diagnostic.
