AI SEO Agency Australia
AI SEO Services For Google, ChatGPT And LLM Search
Strong SEO is the foundation for LLM visibility. Intellar improves the technical, content and authority signals that help brands earn traffic and conversions from Google AI results, ChatGPT, Perplexity and other answer engines.
We start by measuring current search and AI performance, then reverse-engineer the prompts, query fan-outs and cited sources shaping relevant answers. The findings guide the SEO, content, backlinks and brand mentions most likely to improve visibility.
How Intellar Helps With AI Search
- Benchmark visibility across commercial prompts
- Evaluate AI traffic and conversions in GA4
- Review Google Search Console and Bing Webmaster Tools AI performance metrics
- Reverse-engineer AI results and cited sources to shape content direction
- Use query fan-out analysis to improve topical depth
- Turn visibility gaps into a roadmap for SEO, backlinks and brand mentions
Start with a standalone AI Search Visibility Audit, then keep Intellar involved for implementation and monthly measurement where needed.
Book An AI Search Visibility AuditEstablished SEO Results
Organic SEO Performance
These are organic SEO results, not AI search case studies. They show the technical, content and authority work that also underpins AI visibility.
AI SEO Explained
What Is AI SEO And What Should You Expect?
AI SEO improves how brands are retrieved, compared and cited in search-connected AI systems. The work combines strong SEO with AI result analysis, deeper topical coverage, source development and measurement tied to traffic and conversions.
AI SEO, GEO And LLM SEO
These labels describe overlapping work. Generative engine optimisation, or GEO, focuses on generated answers, while LLM SEO focuses on visibility in large language model responses. In practice, both depend on useful pages, clear brand information, credible sources and a way to measure whether coverage changes.
What You Can Influence And Measure
No agency controls the answer an AI system produces. You can improve whether your information is accessible, relevant and corroborated, then track brand mentions, cited URLs, competitor visibility and changes across the same prompt set over time.
The Foundation
Why Traditional SEO Is Still The Foundation
AI visibility rarely starts with a separate content system or standalone technical implementation. It starts with the same foundational conditions that make a website useful in organic search, then extends beyond the website to the sources that AI systems reference.
The Search Foundation
Crawlable Technical Foundations
Important pages can be found, rendered, indexed and revisited.
Useful Commercial Pages
Service, category and product pages answer real buying questions.
Clear Entities And Topics
The brand, services, people and locations are described consistently.
Earned Authority
Links, mentions and proof support the claims made on the website.
Reliable External Sources
Publishers, reviews, communities and profiles corroborate the brand.
How The Evidence Reaches An Answer
Buyer Prompt
A buyer asks who to choose, what to compare or how to solve a problem.
Search And Retrieval
The system looks for relevant information in its available sources.
Source Selection
Pages and third-party references are compared for relevance and support.
Generated Answer And Citations
The selected evidence shapes the response, mentions and cited links.
The exact process varies by platform and query. The practical job is to improve the evidence available at each stage, then measure the outputs you can observe.
See What AI Search Can Find About Your Brand
The audit connects your current SEO footprint to the prompts, sources and competitors shaping AI-generated answers.
The Audit
Start With An AI Search Visibility Audit
The audit starts with GA4, Google Search Console and Bing Webmaster Tools data, then connects current traffic and conversions to search demand, commercial priorities, buyer questions and competitor coverage.
We test a commercially relevant prompt set, reverse-engineer the results, trace cited sources and query fan-outs, and turn the gaps into a prioritised plan for SEO, content, backlinks and brand mentions.
Visibility Benchmark
A baseline across high-value topics and buyer prompts, showing where the brand appears and how competitors compare.
Citation And Source Map
The owned pages and external sources used for each topic, including the references repeatedly supporting competitor visibility.
Prioritised Roadmap
Specific technical, page, content and authority actions ranked by commercial relevance, evidence and implementation effort.
Measurement
What The Report Tracks
Each result keeps the prompt, source and competitive context attached. That makes the report useful for deciding what to change, not just counting mentions.
Platform
The AI search experience checked.
Prompt Or Topic
The buyer question or decision area tested.
Brand Mention
Whether and how the brand appears.
Cited URL
The owned or external source referenced.
Leading Competitor
The competing brand present in the answer.
Answer Context
The recommendation, comparison or claim surrounding the mention.
Result Stability
Whether the outcome persists across repeated checks.
Recommended Action
The page, source or technical change to prioritise.
Anonymised Delivery Examples
Recent Prompt Research Outputs
Figures are rounded and client details are withheld.
Multi-Platform Visibility Analysis
Analysed more than 40,000 model-response rows across 200+ commercial prompts and five AI platforms, separating brand mentions, owned citations and third-party source displacement.
Demand-Led Prompt Tracking Set
Built a 150-prompt go-live set from a larger shortlist using search demand, query fan-outs, owned-content gaps, official sources and natural customer language.
Prompt-To-Content Gap Mapping
Mapped 370+ researched prompts against live tracking and citation data to expose hundreds of untracked questions, weak owned-source coverage and page-level content priorities.
Ongoing Engagement
Ongoing AI SEO Services
Ongoing work follows the audit evidence. Intellar strengthens the SEO foundation, expands topical coverage, builds the external signals AI systems reference and measures whether visibility, traffic and conversions improve.
Query Fan-Out, Prompt And Competitor Research
Reverse-engineer AI results, cited sources and query fan-outs to find the supporting questions and subtopics needed for broader, deeper coverage.
Technical Readiness For Search And AI Retrieval
Improve crawlability, rendering, internal links, structured data and page structure so important information is easier to retrieve and interpret.
Commercial Page And Content Optimisation
Use the research to strengthen service, category and product pages with clearer answers, comparisons and proof. Create new content only where a real answer gap exists.
Brand And Entity Consistency
Align how the brand, services, people and locations are described across owned pages, profiles and credible external references.
Source Placement And Digital PR
Build relevant coverage in the publications, reviews, communities, video platforms and other sources that buyers and AI answers use.
Prompt Visibility Tracking And Reporting
Combine prompt tracking with GA4, Google Search Console and Bing Webmaster Tools AI performance metrics to report visibility, traffic and conversions from AI search sources.
Need The Roadmap Implemented?
Keep Intellar involved to improve the priority pages and sources, then measure whether the tracked answers change.
Process
How The AI SEO Engagement Runs
The audit establishes the baseline. The roadmap sets the priorities, implementation changes the relevant pages and sources, and monthly reporting shows what moved.
Audit
Review analytics and search performance, then establish the prompt set, current visibility, cited sources and competitor baseline.
Roadmap
Rank the technical, content and authority actions by evidence, value and effort.
Implementation
Make the approved changes across the website, content and relevant external sources.
Monthly Reporting
Review movement across the tracked prompts and organic search, then set the next work queue.
Who We Help
Who AI SEO Services Suit
Established Brands With Organic Visibility
Businesses with useful pages, rankings and authority that want to extend those assets into AI-generated answers.
Considered-Purchase Categories
Professional services, B2B, high-ticket ecommerce and other markets where buyers compare options before they enquire or purchase.
Marketing Teams Responsible For Search
Teams that need to protect rankings and organic revenue while building a measurable position in AI-assisted search.
Founder Led
Work Directly With An Experienced AI SEO Consultant
I'm Ben Poulton, Intellar's founder. I've spent more than 14 years working in SEO, and I lead the AI SEO strategy and implementation on your account personally.
The consultant who audits your visibility also builds the roadmap and does the work. You are not handed from a sales call to a junior delivery team.
About Ben And IntellarGoogle Reviews
Excellent 5.0
Showing 3 selected Google reviews from clients and collaborators.
Read All Reviews On GoogleVery detail orientated, understood our business and its needs.
He is highly skilled in SEO, especially local SEO.
His proactive, organised, and creative approach is wonderful.
More To Read
More Information On AI Search
FAQs
AI SEO Questions
What to expect from AI SEO services, including the audit, ongoing work, measurement and realistic results.
What Does An AI SEO Agency Actually Do?
An AI SEO agency researches the buyer prompts relevant to a business, benchmarks brand and competitor visibility, analyses cited sources, and improves the technical, content, entity and authority signals that can influence future answers.
Is AI SEO The Same As GEO Or LLM SEO?
The terms overlap. GEO describes optimisation for generated answers, while LLM SEO describes visibility in large language model responses. Intellar does not sell them as separate tactics because the underlying technical, content, source and measurement work is shared.
How Long Does AI SEO Take To Show Results?
Some changes can appear within weeks, but durable movement usually takes months. Timing depends on existing authority, page quality, external source coverage, competition and how often the relevant system refreshes its answers.
How Do You Measure AI Search Visibility?
We track whether the brand appears across a defined set of buyer prompts, which URLs are cited, how competitors compare, the context of each mention, and whether the result persists across repeated checks.
Do I Need Traditional SEO Before AI SEO?
You need the underlying work, but it does not have to be complete before the engagement starts. If crawlability, commercial pages, internal links or authority are weak, the AI SEO roadmap will prioritise those areas.
Which AI Platforms Do You Track And Optimise For?
Coverage depends on where the audience researches. It can include Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini and Copilot, together with the search results and third-party sources supporting those answers.
Can You Guarantee A ChatGPT Mention Or AI Overview Citation?
No. No provider controls which brands an AI system mentions. We can improve the technical, content and source signals associated with visibility, then measure whether coverage changes.
How Much Do AI SEO Services Cost?
Pricing depends on the starting position, prompt set, competition and implementation scope. The AI Search Visibility Audit produces a recommended work queue and ongoing scope before you make a longer commitment.
Related SEO Services
Core SEO Services
The main SEO service areas Intellar uses across page targeting, technical fixes, local visibility, AI search, content and links.