AI search
Get found, cited and recommended by ChatGPT, Perplexity, Gemini and Google AI Overviews — not just ranked in traditional search results.
Is this relevant for you?
Typical challenges and signals we help businesses solve.
What the user sees
A ranked list of links to click through
What earns visibility
Keyword rankings and backlinks
Where your brand can appear
Search engine results pages
How success is measured
Rankings, clicks and sessions
Content format that wins
Long-form pages targeting keywords
What you get
Concrete outputs and results from working together.
AI visibility audit
A review of how your brand currently appears — or doesn't — across ChatGPT, Perplexity, Gemini and Google AI Overviews for the queries that matter to your business.
Content and entity structuring
Rewriting and restructuring key pages so facts, definitions and comparisons are clear, well-sourced and easy for AI models to extract and cite.
Technical and schema foundations
Structured data, clear page hierarchy and consistent entity signals that help AI systems understand what your business is and what it offers.
Citation and mention tracking
Ongoing monitoring of where and how often your brand is mentioned or cited in AI-generated answers, reported in plain language.
Monthly reporting and roadmap
A regular update on AI search performance alongside classic SEO metrics, with a prioritized plan for what to improve next.
How we work
A structured approach from start to goal.
- 1
Baseline audit
We test how visible your brand and competitors currently are across major AI search tools for your priority topics and queries.
- 2
Strategy and content plan
We identify the structural, content and entity gaps holding you back, and build a prioritized plan to close them.
- 3
Implementation
We restructure existing content, produce new answer-focused material and put the technical foundations in place.
- 4
Monitoring and refinement
We track citations and mentions over time, then adjust the approach as AI tools and search behavior evolve.
Classic search results vs. AI search answers
The rules for getting found have changed, and this is what the shift looks like in practice.
| Feature | Classic search | AI search |
|---|---|---|
| What the user sees | A direct answer, often with a short citation | A ranked list of links to click through |
| What earns visibility | Clear, well-structured facts an AI model can extract | Keyword rankings and backlinks |
| Where your brand can appear | Chatbot answers, AI Overviews and voice assistants | Search engine results pages |
| How success is measured | Citations, mentions and share of AI answers | Rankings, clicks and sessions |
| Content format that wins | Concise, structured answers with clear definitions | Long-form pages targeting keywords |
What is AI search and why does it matter now?
AI search describes the shift from clicking through ranked links to getting a direct answer from an AI model. When someone asks ChatGPT for a supplier, asks Perplexity to compare products, or gets a Google AI Overview instead of ten blue links, your website either gets cited as the source — or it doesn't exist to them at all. For many industries in Thailand, a meaningful share of research now happens this way before a person ever visits a traditional search engine.
This matters because visibility in AI search runs on different rules than classic rankings. It's less about matching a keyword and more about whether your content is structured clearly enough, and trusted enough, for an AI model to lift it into an answer. Businesses that ignore this shift risk becoming invisible in exactly the moments where buying decisions are being made.
How we make your brand visible in AI answers
We start by auditing how your brand currently appears — or doesn't — across major AI tools, then build a plan around the gaps we find. In practice, this combines several disciplines: Answer Engine Optimization to structure content as clear, citable answers, Generative Engine Optimization to strengthen the entity signals AI models rely on, and consistent content production that keeps your site producing the kind of specific, well-sourced material these tools prefer to quote.
This isn't a one-off technical fix. It's an ongoing editorial and structural effort — similar in discipline to how we approach SEO outsourcing, but aimed at a different set of outcomes: citations, mentions and inclusion in AI-generated answers rather than only rankings.
Tracking and improving AI search performance over time
Because AI search is new, most businesses have no baseline for how visible they already are. We track brand mentions, citations and share-of-answer across the tools your customers actually use, then adjust content and structure based on what's working. We've applied the same evidence-based approach across other client cases, and we publish what we learn on our blog as the landscape keeps changing.
The result is a repeatable process: measure current visibility, close structural and content gaps, monitor how AI tools respond, and refine. It's a longer game than chasing a single ranking, but it positions your brand to be the answer — not just a link — as more of your market's research moves into AI tools.
Want to hear more about this service?
We're happy to give you a no-obligation walkthrough of what makes the most sense for you.