An AI search optimisation agency exists because the old way of showing up on Google no longer covers how people search.
Most buyers don’t type one broad term before they purchase. They ask specific questions about sizes, use cases, comparisons and objections.
AI tools like ChatGPT answer by running several of those searches behind the scenes. So generative engine optimisation has to cover specific comparisons, use cases and objections.
Think of a wedding planner. You ask her for one venue, and she rings five with small questions about capacity and parking.
The venue with a clear answer to each gets recommended, and the venue with a lovely brochure and no answers is still just a nice brochure. In this context, query fan-out means the AI tool asks your brand several small questions at once, and each page you publish is an answer it can pass on.
That shift means a single category page for “best X” doesn’t cut it anymore. It’s also why fixed keyword lists lose relevance fast.
The brands that keep showing up answer more of those specific questions, then keep that coverage current as new questions appear. If you’re asking “What is AI search?”, it starts here: an AI tool runs several smaller Google searches to assemble one answer.
CMAX, the Agentic SEO Platform from Area Ten, was built around that problem. We scale long-tail coverage and keep it fresh, without separate “AI visibility” add-ons.
CMAX targets the long tail, where most search demand sits.
An AI Search Optimisation Agency Answers the Questions Buyers Ask Before They Buy
SEO for AI Query Fan-Out
An AI search optimisation agency adapts SEO for the long tail: the specific, detailed searches buyers type when they’re close to a decision. When someone asks an AI tool a question, the tool runs several smaller Google searches and builds its answer from what it finds across subtopics and data sources.
Google calls this query fan-out. A single category page for “best homewares” won’t cover it.
You need useful pages for sizes, use cases, comparisons, objections, locations and compliance questions that buyers search.
You will hear this work called answer engine optimisation AEO or generative AI optimisation. A generative engine optimisation agency and an AI search SEO agency both aim to get your pages into those answers.
Long-Tail Demand Drives Visibility
Effective LLM SEO reaches beyond fixed keyword lists. Over 90% of search and AI demand is in the long tail.
Google processes over 5 trillion searches a year, and 15% of daily searches are brand new, so fixed lists date fast. Buyers often read the answer on the results page and never click, a pattern known as zero click search.
The brands that grow search and AI visibility build content surface area: the number of ways customers search that they have a useful answer for. Then they keep expanding it.
The Right Approach Combines Breadth, Freshness and Connected Content
Strong Pages Still Need Supporting Coverage
A Google AI Search engine answer is built from pages in Google’s index, because AI engines retrieve their answers from Google. Pages must be in that index and answer the query clearly.
Sound AI search optimisation needs those pages, plus supporting guides around your important category and product pages.
A strong category or product page still carries weight. It needs buying guides, comparison pages, problem pages, FAQs and use-case pages around it to prove topical depth.
To optimise content for AI search, write those supporting pages around real buyer questions.
Tactics Alone Do Not Create Coverage
We connect supporting content through Dynamic Internal Linking, rather than relying on isolated schema or prompt tracking. Google says no special structured data is required for AI Overviews or AI Mode, and no new machine-readable files are required either.
So LLMs.txt isn’t a strategy by itself.
Prompt tracking is a useful diagnostic. It can’t repair thin coverage, stale content, weak internal links or pages that don’t match buyer questions.
Any of the AI search optimisation services you compare should fix those gaps first.
CMAX Scales Breadth and Freshness
The Agentic SEO Platform applies AI search engine optimisation across the thousands of ways customers search for what a brand sells. CMAX is trained on human-reviewed, client-approved content, and it expands and refreshes coverage from that base.
Using ChatGPT for SEO responsibly means starting from approved brand material. Dynamic Internal Linking and Full Body SEO strengthen the whole cluster of pages around a topic, target page included.
Frequently Asked Questions (FAQ)
Can an AI search agency guarantee ChatGPT citations?
No. OpenAI says ChatGPT chooses when to search the web based on the prompt, and citation outcomes depend on the prompt, retrieved sources and response path. Answer engine optimisation services that promise citations promise something no one controls.
A practical answer to “What is generative engine optimisation?” covers crawlable pages, detailed topic coverage and regular updates. A credible agency improves your prospects across AI search engines through crawlable pages, broader coverage, clear answers and content that stays current.
Can smaller B2B SaaS brands compete with large companies in ChatGPT?
Yes, especially in narrow use cases where the specialist brand answers the exact problem better than a broad market leader. A provider that builds detailed pages for integrations, workflows and objections fits the definition of an AI search optimisation agency.
Google says AI features can use query fan-out across subtopics. That opens space for pages on integrations, workflows, objections, pricing context, alternatives and industry-specific use cases that large sites often cover lightly.
Does posting on Reddit help with ChatGPT visibility?
It can help indirectly if Reddit threads become sources an AI system retrieves. Owned pages give you more control over accuracy, approvals and conversion paths.
Agency copy for answer engine optimisation Australia and LLM SEO Australia commonly uses ‘optimisation’, while US material uses ‘optimisation’. For a city-level example, read our AI search marketing Brisbane page.
OpenAI recommends allowing OAI-SearchBot in robots.txt if you want your site to appear in ChatGPT search results.
AI Search Optimisation Agency Starts With Coverage
An AI search optimisation agency is useful when it helps you show up for the specific searches buyers make before they compare or buy. CMAX focuses on the gap: the coverage you don’t have yet across the long tail, where most search and AI demand sits.
We build each LLM SEO strategy around long-tail coverage, connected pages and content that updates from real performance data.
AI tools pull from what ranks in Google, and one strong category page is rarely enough. To build stronger search visibility, we expand and refresh content across the many ways customers search, then support relevant pages with connected content and internal linking.
The quickest way to see where your coverage has gaps is to look at it. It’s a diagnostic, and nobody has to buy anything.
If you’re curious as to how you’re performing on AI, book in a Missing Customer Map review with our Growth Team.
Author
Jeremy Tang
Founder and CEO of CMAX
Jeremy Tang is the Founder and CEO of CMAX. With over 2 decades of experience in business consulting and digital marketing, he has successfully driven seven startup businesses, six of which achieved $1 million in revenue from zero in less than 16 months, 5 of which grew to multi-million dollar a year ventures without any external funding. Jeremy's expertise lies in streamlining business processes through technology and leveraging digital (in particular SEO) for business growth. He resides in Australia, travels extensively, and draws inspiration from his global experiences.
