The search conversation has become crowded with new initials: AEO, GEO, AI SEO. Every week seems to bring another checklist promising to make a brand visible inside an AI answer.
I understand the urgency. People are asking longer, more specific questions and receiving a synthesized answer before they ever reach a company website. Pew Research Center found that Google users clicked a traditional search result in 8% of visits when an AI summary appeared, compared with 15% when it did not. Links inside the AI summary received a click in only 1% of those visits.
That changes the job of a website. A brand may receive fewer casual visits, while the people who do arrive may be further along in their decision.
My point of view is simple: AI visibility starts with brand clarity and credible proof. The technology layer matters, but it cannot compensate for a website filled with broad claims, internal language, and interchangeable marketing copy.
The website has to answer a real buyer question
When I review a website, I use a 30-second test. Can I explain what the company does, which problem it solves, who should call, and why I should believe it? If I cannot, the buyer probably cannot either. Search systems have less useful material to retrieve and cite.
This is where many brands make the work harder than it needs to be. A homepage says the company is innovative, customer-centric, and committed to growth. A service page repeats the same language. The case studies hide the decision, the work, and the outcome under campaign copy.
Those phrases may be true. They are simply too broad to help a buyer distinguish one business from another.
Google's 2026 guidance for generative AI search is unusually direct. Foundational SEO still applies. Google recommends useful, non-commodity content with a unique point of view and first-hand experience. It also warns against creating dozens of thin pages for every possible query variation. There is no special Google requirement for an llms.txt file, tiny content chunks, or separate AI copy.
That is an important reset. The strongest answer is usually the one only your company could give.
Specificity feels narrow. It makes the brand more useful.
Brand teams often resist specificity because they do not want to exclude a possible customer. The result is a message wide enough to include everyone and distinct enough to persuade no one.
A useful page names the situation in which the service matters. It explains the decision a buyer is trying to make. It shows what the work looks like and supports the claims with evidence.
- What happens when a senior marketing seat is open during a launch?
- When should a company use interim leadership rather than wait for the permanent hire?
- What does integrated brand activation solve that a collection of channel plans does not?
- How can a social-listening signal become a product, experience, or brand decision?
A focused page may draw fewer visits and better conversations
Each buyer question creates room for experience, judgment, and a real point of view. It also gives a search system a focused passage to retrieve when someone asks a related question.
The tradeoff is worth naming. A sharply focused page may attract fewer people than a generic one. It is more likely to attract the person who recognizes the problem and has a reason to act.
Proof gives the answer weight
AI search raises the value of substance. A confident claim needs something behind it: a named example, an outcome, a source, a clear author, or a decision the team made.
This does not mean turning every article into a research paper. One credible statistic can frame the market. The brand's experience should interpret what it means.
For example, saying that integrated marketing improves coordination is easy. Explaining how one shared business goal changed the briefs for media, retail, creators, PR, and social is far more useful. A buyer can see the operating judgment. An AI system has a specific example it can summarize without inventing the missing context.
Consistency matters here too. The company name, service language, leadership bio, examples, and contact information should tell the same story across the website, LinkedIn, business listings, press coverage, and other credible references. Repetition alone does not create authority. Consistent facts make the entity easier to understand and verify.
Discovery still depends on access
Good thinking has to be crawlable and indexed.
Google says a page must be indexed and eligible to appear with a snippet before it can be used as a supporting link in AI Overviews or AI Mode. OpenAI says any public website can appear in ChatGPT search and advises publishers to allow OAI-SearchBot if they want pages included in summaries, snippets, citations, and links.
Accessibility helps as well. OpenAI notes that descriptive roles, labels, and states help its browser agent interpret page structure and interactive elements. Work that helps a person use the site often helps machines understand it too.
- Keep important content available in readable HTML.
- Use descriptive page titles and headings.
- Maintain a current sitemap and canonical URLs.
- Make sure search crawlers are not accidentally blocked.
- Add structured data where it accurately describes the business and content.
- Give every priority page a useful next step for the person who arrives.
Measure influence before the click
Traffic will remain important, but it is no longer the whole picture.
Bing introduced an AI Performance report in 2026 that shows citations, cited pages, and the grounding queries used to retrieve a publisher's content across Microsoft AI experiences. Google now offers reporting for generative AI performance in Search Console. OpenAI adds a ChatGPT referral parameter to outbound links so publishers can identify those visits in analytics.
I would watch four signals together: whether the pages are indexed, whether the brand is cited for relevant questions, whether branded search and qualified referral traffic grow, and whether the right visitors take action.
The last signal matters most. A citation is useful when it improves consideration, earns trust, or brings the right conversation closer.
AI has changed how answers are assembled and where the first impression happens. It has not changed what makes a brand worth choosing: a clear promise, specific expertise, credible proof, and a useful way forward.