More people are now asking AI tools like ChatGPT and Google Gemini for recommendations instead of typing searches into Google. Queries like “top marketing agency in Perth” are increasingly being answered directly by large language models (LLMs), rather than traditional search results.
To get ChatGPT and Gemini to recommend your local business, you need to focus on Generative Engine Optimisation or GEO SEO and LLM optimisation. This involves structuring your website with clear LocalBusiness schema markup, building strong machine-readable entity signals, ensuring consistent NAP (Name, Address, Phone) data across the web, and earning credible third-party citations that AI systems use to validate trust.
The real question for business owners is no longer just “how do I rank on Google?”, but “how do I get recommended by AI systems?”
Why AI Recommendations Are Replacing Traditional Search
AI tools like ChatGPT and Gemini don’t return a list of blue links. Instead, they synthesise information from across the web and surface a small number of trusted businesses based on:
- Website clarity and structured data
- Brand mentions and sentiment across the web
- Review signals and reputation
- Consistency of business information
- Topical authority and relevance
In practice, these systems behave less like search engines and more like digital advisors.
So when someone asks; What’s the best commercial accounting firm near me?
The AI is not ranking websites in the traditional sense. It is selecting trusted business entities it can confidently understand and validate.
This is where many local businesses fall short especially those with unclear positioning or inconsistent digital footprints.
How LLMs Actually Understand Your Business
To optimise for AI recommendations, you need to understand how LLMs interpret your digital presence.
Modern systems combine retrieval methods (such as browsing or indexed data) with language modelling to assess information through four key signals:
- Entity recognition: What your business is (name, category, location)
- Context signals: What you do and who you serve
- Authority signals: Whether credible sources reference you
- Consistency signals: Whether your information matches across platforms
If your digital footprint is unclear, inconsistent, or thin, your business is simply less likely to be surfaced in AI-generated recommendations.
This is the foundation of how to optimise your website for ChatGPT and Gemini recommendations.
Step 1: Build Strong Entity Clarity Across Your Website
Your business must be immediately understandable to both users and machines.
Your website should clearly define:
- Exact business name (consistent everywhere online)
- Core service categories (local SEO agency in Melbourne)
- Service areas and locations
- Specific offerings (avoid vague marketing language)
For example, instead of: We help businesses grow online.
You should use: We provide local SEO and generative SEO services for Australian businesses to improve visibility in Google and AI tools like ChatGPT and Gemini.
This improves LLM optimisation for businesses by reducing ambiguity and strengthening entity clarity.
Step 2: Use Structured Data (Schema Markup)
Structured data helps machines interpret your website without guesswork.
At a minimum, implement:
- LocalBusiness schema: business identity, location, contact details
- Organisation schema: brand identity and sameAs references
- Service schema: clear breakdown of offerings
- FAQ schema: structured Q&A content for easy extraction
This provides AI systems with a clean, machine-readable layer of truth about your business.
It’s one of the most important technical foundations of a modern artificial intelligence SEO strategy.
Step 3: Strengthen Your Digital Footprint Beyond Your Website
AI systems do not rely solely on your website. They validate information across multiple sources.
To improve trust signals:
- Keep NAP (Name, Address, Phone) consistent everywhere
- Fully optimise your Google Business Profile (GBP)
- List your business in reputable Australian directories
- Build consistent, detailed customer reviews
Even small inconsistencies like different phone formats or outdated addresses can weaken entity confidence in how AI systems interpret your brand.
Step 4: Optimise for Natural Language Queries
People don’t interact with AI tools using short keywords anymore.
They ask full, specific questions like:
- Who’s the best local SEO agency in Sydney for small businesses?
- What marketing company can help generate more local B2B leads?
Your content should reflect this shift.
Instead of keyword-heavy pages, focus on answer-first content:
- Clear, direct responses under headings
- Simple language
- Real-world scenarios and intent-based explanations
This aligns strongly with how Gemini and ChatGPT extract and summarise content for recommendations.
Step 5: Build Topical Authority (Not Just Pages)
AI systems assess authority at a topic level, not just page level.
To build real authority, create structured content clusters around core themes.
For example:
- What is Generative SEO?
- How ChatGPT Changes Local Search
- AI SEO Strategy for Small Businesses
- Local SEO Checklist for Australian Businesses
Interlinking these pages signals depth, expertise, and consistency. Helping LLMs understand your brand as a reliable source in your niche.
Step 6: Earn Mentions That AI Can Trust
Independent validation is one of the strongest trust signals for AI systems.
Focus on earning:
- Mentions in reputable industry publications
- Local news coverage
- Guest content on authoritative websites
- Listings in industry and business associations
Think of this less as link building and more as digital reputation building.
The more credible sources that reference your business, the more confidently AI systems will recommend it.
How Rankaholics Helps Businesses Get Recommended by AI
At Rankaholics, we help Australian businesses adapt to this shift in search behaviour through structured, AI-aware SEO systems.
Our approach focuses on:
- Structuring websites for LLM readability
- Strengthening entity recognition through schema and consistency
- Building authority signals across search and AI ecosystems
- Optimising content for conversational search behaviour
- Improving local visibility across Google and AI assistants
In short, we don’t just optimise for search engines, we optimise for how AI systems understand and recommend businesses.
The Future: From Search Rankings to AI Recommendations
We are moving into a phase where traditional rankings are no longer the primary measure of visibility.
Instead, businesses will compete for:
- AI-generated recommendations
- Conversational answers
- Zero-click visibility
- Embedded assistant suggestions
This shift rewards businesses that are clear, trusted, well-structured, and consistently referenced online.
Those who adapt early will gain a significant competitive advantage in local markets.
Final Thoughts
To be recommended by ChatGPT and Google Gemini, businesses must move beyond outdated SEO tactics. Success now depends on machine understanding, entity clarity, and building digital trust.
This shift is already transforming how customers discover local businesses across Australia, and it will only accelerate. If you want your brand to stand out in AI‑driven search, the time to act is now.
Call us today at 08 6374 5899 or connect with the Rankaholics team to position your business at the forefront of AI SEO.
