Clients still come to us because they want stronger Google visibility, but the search conversation has widened.
A buyer may now compare providers in Google, ask ChatGPT for recommendations, and check an AI-generated summary before visiting any website.
We treat those as connected search journeys rather than separate marketing problems. Google rankings still matter, while AI search adds another place where a brand can appear during research.
Here’s how that changes the work we do for clients.
We start with what the buyer is actually trying to decide
A search term tells us where the research begins, but the buying decision usually extends well beyond that first phrase. Someone searching for a service may still need to understand pricing, suitability, process, timelines, alternatives, and what separates one provider from another.
We map those questions before deciding what content deserves to exist. This helps us choose whether the client needs a stronger service page, an educational article, a comparison, or supporting content around a broader topic.
The same thinking also helps with Google because search intent shapes what kind of page belongs in the results. Instead of building several pages around small keyword variations, we can give each page a clearer role in the customer’s research.
We strengthen the Google foundation before widening the search plan
Strong organic visibility still starts with pages that Google can access, understand, and confidently show for relevant searches. Google’s own guidance says the same core SEO practices continue to matter for AI Overviews and AI Mode.
For clients, that means we still spend time on search intent, useful commercial pages, internal linking, technical accessibility, supporting content, and clear information about the business.
The content itself also needs enough substance to compete. A service page should help someone evaluate the offer, while an article should answer the question properly and connect naturally with whatever the reader may need next.
Once that foundation is in better shape, we can look at the wider questions surrounding the topic and where the brand appears beyond a standard Google result.
We build around the questions buyers ask next
Buyer research rarely stops at the first search. Someone looking for an SEO agency in Singapore may begin with that broad phrase, then start digging into cost, timelines, reporting, local experience, or how the agency handles AI search.
We use that progression to decide what the website still needs to answer. Sometimes an existing service page needs more detail; in other cases, the question is substantial enough to become its own article, comparison, or case study.
We’re also looking at AI search visibility through the same lens. When a topic is covered from several useful angles, there’s more relevant information available for AI systems to draw on when they break a broad question into narrower ones.
We look at what the wider web says about the client
A client’s website gives search systems one version of the business, while other websites can add independent context around the same brand. Reviews, industry publications, directories, comparison pages, community discussions, and relevant social content may all become part of that wider picture.
We therefore look beyond owned pages when the category calls for it. If competing brands repeatedly appear on sources used during buyer research, we want to understand why they’re there and whether the client has a genuine reason to be included too.
The same applies to consistency. Service descriptions, expertise, locations, customer feedback, and brand positioning become more useful when public sources describe the business in a way that matches what buyers see on the website.
This work supports brand discovery without turning every third-party mention into a backlink exercise.
We measure rankings and AI mentions as different outcomes
Google performance and AI presence can move differently, so we review them separately. Rankings, impressions, clicks, landing-page behaviour, and enquiries tell us how traditional search is performing.
For AI search, we look at relevant prompts, brand mentions, cited URLs, competitors that appear, and which topics repeatedly bring the client into generated answers. That gives us a clearer view of AI search visibility than relying on a single visibility score.
Mentions and citations also deserve separate attention. Current research shows that an AI tool may cite a company page without naming the brand, while another answer may mention the brand and use a different source for evidence.
Seeing those differences helps us decide what deserves more attention next, whether that’s the client’s website, broader topic coverage, or the external sources shaping the answer.
Final Thoughts
A few years ago, a strong page-one position could carry most of the search conversation. Today, we also want to know what happens when the same buyer asks an AI tool for an answer, recommendation, or comparison.
That extra question now sits alongside the SEO work we do for clients at Elevan August. We’re still building from the same fundamentals, but we’re looking at a wider set of places where a brand can enter the customer’s research.
If your Google visibility is moving in the right direction and AI search still feels like a blind spot, get in touch with us today and talk to an expert.
