Generative & Answer Engine Optimisation (GEO / AEO)
AI answer engines like ChatGPT Search, Perplexity Pro, Google AI Overviews, Gemini, and Claude are reshaping how high-intent buyers and members discover your organisation. We deliver empirical prompt audits, regulated claim fidelity registries, and technical RAG playbooks – delivered in 2 business days.
What we deliver
- Full Search Surface Audit:
Empirical query-level evaluation across ChatGPT Search, Perplexity Pro, Google AI Overviews, Gemini, and Claude Search.
- Regulated Claim Fidelity Registry:
Identification of hallucinated fees, outdated policy terms, and regulatory compliance risks in generative responses.
- Technical RAG & Schema Optimisation:
Entity graph structuring, JSON-LD Schema enhancements, and llms.txt implementation for optimal LLM crawler retrieval.
- 2-Day Delivery Guarantee:
Executive briefing deck, citation scorecard, and engineering remediation roadmap delivered within 48 business hours.
AI Discovery Intelligence Audit
We conducted an empirical audit of member retirement and capital gains discovery across ChatGPT Search and Perplexity. The audit uncovered legacy fee discrepancies and unindexed disclosure documents, establishing a canonical source hierarchy to eliminate hallucinations and secure accurate member citations.
Request an audit for your organisationWhy mindscale for GEO & AEO?
Pioneering Early Adopter Framework
We were auditing AI answer engines while traditional SEO agencies were still pitching keyword density. Our frameworks are engineered from live enterprise RAG evaluations across high-stakes industries.
Empirical Science, Not Vanity Scores
We don't sell synthetic 'GEO Scores' or arbitrary uplift estimates. We capture verbatim, un-blended responses across native AI search interfaces to give you cold, defensible data.
Guaranteed 2 Business Day Turnaround
AI engines update their search caches constantly. We deliver complete, decision-ready audit reports and operational playbooks within 48 hours.
Regulated Claim & Compliance Protection
Ungoverned AI answers frequently quote obsolete fees or misstate regulated terms. We build canonical truth registries aligned with Australian regulatory standards (ASIC, APRA, ACCC).
Surfaces & Tools Audited
We evaluate both real-time consumer generative web search interfaces and underlying RAG crawler indexation layers.
Need a GEO Audit in 2 Days?
Receive a decision-ready AI visibility report, claim fidelity registry, and operational action playbook delivered within 48 hours.
Request 2-Day GEO AuditService Engagement Tiers
Choose between an immediate self-guided diagnostic playbook or full executive-managed GEO optimisation.
Self-Guided Diagnostic Audit & Action Plan
$4,500 AUD (Fixed Fee)
Designed for internal marketing, digital product, and SEO engineering teams seeking immediate, defensible clarity on brand visibility across AI answer engines.
- Empirical multi-surface prompt audit across ChatGPT Search, Perplexity, Gemini, Claude & Copilot
- Regulated Claim Fidelity & Hallucination Registry (pricing, fees, product terms)
- RAG Crawler & Technical Rendering Audit (OAI-SearchBot, PerplexityBot, Schema JSON-LD)
- Prioritised 30/60/90-Day Operational Action Playbook for internal execution
- Executive PDF Summary Brief & Raw Prompt Transcript Data Export
- 45-minute executive debrief and tactical walkthrough session
Executive Managed GEO & AEO Optimisation
From $6,500 AUD / month
For enterprise organisations requiring dedicated senior delivery, ongoing prompt monitoring, compliance-approved truth engineering, and active technical RAG deployments.
- Everything in the Self-Guided Diagnostic Audit & Action Plan
- Compliance-Approved Truth Block & Canonical Methodology Engineering
- Real-time IndexNow protocol integration & OAI-SearchBot WAF bypass tuning
- Verified Reddit (u/Brand_Official) & Ecosystem Co-Citation Seeding Strategy
- Monthly Sentinel Prompt Tracking & Claim Regression Re-testing
- Privacy-Safe AI Referral Lead Attribution (utm_source=chatgpt.com / perplexity.ai)
- Direct Slack/Teams channel with senior AI search engineers
Our 4-Step Audit Methodology
Empirical Multi-Model Capture
We execute structured prompt batteries across ChatGPT Search, Perplexity Pro, Google AI Overviews, Gemini Grounding, Claude Search, and Copilot – capturing live citations, ranking order, and share of voice.
Claim Fidelity & Truth Registry
We audit your regulated facts, fee structures, pricing, and product disclosures against official documentation to isolate where LLMs hallucinate or cite obsolete web sources.
RAG Infrastructure & Crawler Audit
We inspect server logs for OAI-SearchBot, PerplexityBot, and ClaudeBot, verify SSR/LCP rendering latency, validate Schema.org entity graphs, and configure real-time IndexNow feeds.
Operational Playbook & Brief
We deliver an executive summary and a prioritised 30/60/90-day action matrix for your Risk, Content, Product, and SEO engineering teams within 2 business days.
Frequently Asked Questions
Common questions about Generative Engine Optimisation and our 2-day delivery guarantee.
What is Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO)?
Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) are the technical and strategic disciplines of ensuring your brand is accurately discovered, cited, and recommended by AI answer engines (ChatGPT Search, Perplexity Pro, Google AI Overviews, Gemini, Claude, and Copilot). Unlike traditional SEO, GEO focuses on AI model retrieval-augmented generation (RAG), semantic entity graphs, and factual consensus.
How does GEO differ from traditional search engine optimisation (SEO)?
Traditional SEO targets keyword rankings and 10 blue links on Google SERPs. GEO targets generative synthesis – where an LLM queries multiple real-time sources, evaluates consensus, extracts facts, and presents a direct synthesised answer with citations. Winning in GEO requires structured JSON-LD schemas, high-authority co-citations, sub-second RAG crawler accessibility, and strict factual consistency across your digital ecosystem.
Why is hallucination auditing critical for Australian enterprises?
AI models frequently ingest legacy PDF disclosures, superseded Product Disclosure Statements (PDS), or outdated pricing tables. For Australian financial services, superannuation funds, healthcare providers, and SaaS companies, hallucinated fee rates or misquoted compliance terms represent serious regulatory and brand risks under ASIC and Australian Consumer Law.
Which AI search engines and crawler bots do you evaluate?
Our audit covers both consumer AI search surfaces and underlying crawler bots, including ChatGPT Search (OAI-SearchBot), Perplexity Pro (PerplexityBot), Google AI Overviews & Gemini Grounding (Google-Extended / Googlebot), Claude Search (ClaudeBot), Microsoft Copilot, and real-time IndexNow indexation protocols.
How can mindscale guarantee a 2 business day delivery?
We have built dedicated empirical testing tooling that runs structured prompt batteries across multiple frontier models simultaneously. Combined with our standardised Australian compliance registry frameworks, our senior engineers can evaluate the raw findings and compile a decision-ready executive brief within 48 hours.
How quickly do AI answer engines reflect technical and content changes?
AI answer engines that leverage real-time RAG (such as Perplexity and ChatGPT Search) can reflect indexed content updates within 24 to 72 hours once crawlers ingest updated pages and IndexNow feeds. Broader parametric model knowledge bases adjust as model weights and fine-tuning datasets cycle.
48-Hour Delivery Guarantee
Benchmark your brand's presence across AI answer engines
Get a rigorous, empirical evaluation of your brand in ChatGPT Search, Perplexity Pro, Google AI Overviews, and Gemini. Identify hallucinations, benchmark competitor share of voice, and receive your 30/60/90-day action playbook in 2 business days.
Further Reading
LabsClaude Fable. Same Brain.
What Anthropic actually shipped with Claude Fable 5, and why the safeguards are the real story.
The Post-API Era: Model Context Protocol (MCP)
MCP shifts the paradigm by giving models a native, standardised interface to enterprise data without glue code.
The Rise of Chinese LLMs in Agentic Coding
Current landscape, unit economics, and why teams use Opus for architecture and DeepSeek for execution.
AI Killed the Video Star
When the agent does the talking, the screen goes dark. A field note on the audio-first brand.