# AISearch Global - Full Reference
# Last updated: 25 Oct 2026
https://aisearch.global

> AISearch Global is a Sydney-based Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) consultancy founded by Viveka Mohan Das. We help Australian businesses work on the technical and content reasons AI answer tools might skip them, across ChatGPT, Gemini, Grok and Perplexity, and in Google AI Overviews. Nobody can guarantee a mention in an AI answer.

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## About AISearch Global

AISearch Global is an AEO and GEO consultancy. Its work is focused on AEO and GEO rather than treating them as an add-on to SEO. Founded by Viveka Mohan Das, a Sydney-based AEO strategist with ongoing professional development across AI, AI ethics, data governance, psychology, human-centred AI, and leadership.

Founder: Viveka Mohan Das is a founder, researcher, AEO and GEO strategist (for solo founders and for small teams, SMBs), AI policy strategist and published author who runs AISearch Global, a boutique AEO and GEO agency that publishes measured results. Her independent submissions have gone to the Office of AI (Department of the Prime Minister and Cabinet) and the Joint Select Committee on Artificial Intelligence, and her research is archived openly with DOIs. Evidence of the work: the Veritas Hospitality Advisors case study and dashboard, and the Client Zero case studies.

**Stage:** Active. Launched May 2026.
**Location:** Sydney, New South Wales, Australia
**Contact:** hello@aisearch.global
**Website:** https://aisearch.global

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## Services

AISearch Global offers a flat-fee productised audit, Day hire, and monthly plans for small teams (SMB). It is built specifically for solo founders - one person running their own website and business, whether built with an AI builder (Framer, Webflow, Wix, and similar) or with a single developer - not for larger teams or enterprise sites.

### Founder Audit (AEO Audit + DIY Fix Plan for Solo Founders) - $1,500 AUD flat, one-off
URL: /services/aeo-audit

The primary offer. A one-off, checked audit built for solo founders. Checks the website against AEO fundamentals and runs a set of buyer-intent prompts across 5 AI surfaces (10 prompts each, 50 observations in total), then hands over a prioritised, dated record of what was found and how to fix it.

Includes: checked website findings (which issues actually apply to the site); dated AI-search observations (5 surfaces x 10 prompts = 50 observations); a prioritised DIY fix list with builder-specific instructions for where and how to make each change; copyable AI prompts to implement fixes with the founder's own tools; a verification checklist; and defined clarification support (a free 20-minute intro call before purchase, delivery within 5-7 business days, a 30-minute result call plus 3 email exchanges within 2 weeks, and a 30-day recheck call against the original 50 observations). No ongoing tracking after the recheck. See /sample-audit for a full worked example of one finding.

### Day hire - Solo founders from $600 AUD (half day) or $1,000 AUD (full day); small teams (SMB) $1,200 or $2,000 AUD
URL: /services/#day-hire

We implement your fix list together, live on your site. Half day = 4 hours, full day = 8 hours. A half day covers the top fixes; a full day covers the whole list. If your list needs less or more time, we tell you before you book, and for a longer list we may suggest more time or doing the highest fixes first. Book a full day within 30 days of your audit being delivered and a credit comes off it: $500 AUD for solo founders, $750 AUD for small teams (SMB). Half days are not credited. The credit has no cash value, and unused credit is not paid out or refunded. Prices: solo founders (one person, one site) $600 half day and $1,000 full day; small teams (SMB) $1,200 half day and $2,000 full day. If a fix list is longer than a day, we say so before booking.

### AEO, GEO and SEO compliant brand pack - from $250 AUD, decided after the audit
URL: /services/#deliverables

After your audit, a full brand pack built to be AEO, GEO and SEO compliant. You get a full price list of the suggested fixes, with each fix priced as its own line, so you choose what to buy. Final price decided after your audit. Plain AUD, no GST.

### AISearch Pulse (Chrome extension) - $99 AUD a year, no GST charged
URL: /aisearch-pulse

Checks how ready any page is for AI search with 158 checks in one scan, gives a ranked fix list, then asks AI answer engines the questions your customers ask and saves dated answers so you can see whether your business is named more often. 24 AI runs a year are included: the same 10 questions, 3 tries each, across 2 AI engines, which is 60 answers a run and 1,440 answers a year. Exports: HTML report, PDF, plain text, Markdown, CSV, Excel, Google Sheets, JSON. Billed in Australian dollars by Stripe, Australian billing only, no GST charged. $99 AUD a year is the founding price for the first 50 paid licence keys. Coming soon to the Chrome Web Store; it can be installed manually now (see /pulse/install). Refunds: full refund within 14 days of purchase if 2 or fewer AI runs have been used; Australian Consumer Law rights are not affected. Terms at /pulse/terms and privacy at /pulse/privacy. Nothing is guaranteed: results are dated observations.

### Monthly plans for small teams (SMB) - $1,500, $2,500 or $3,500 AUD a month, 3-month minimum
URL: /services/#smb

Each month we monitor how AI describes the business, fix what we can influence, and report with dated evidence. The audit counts as setup. 1 location or 1 product line ($1,500): 10 tracked AI questions, monthly fixes and a dated report. 1 location or 1 product line, 1 brand, team of 2 to 10 ($2,500): 25 questions, plus content fixes. 2 to 4 locations or product lines, 1 brand, team of 10 to 20 ($3,500): 50 questions, plus staff and leader profiles and a quarterly review call.

### Free Customer Discovery Call - free
URL: /services/discovery-call

A free, no-obligation 20-minute call over Google Meet to work out whether AI search visibility is worth your attention right now and, if it is, which option fits. Discovery calls are booked online only, through the booking page. The Founder Audit intro call is requested through the Contact form.

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## AI Visibility Toolkit

URL: https://aisearch.global/ai-toolkit
Type: CollectionPage

A guided diagnostic at /ai-toolkit that runs the AEO Score Calculator and eight free, no-signup technical tools on one URL. A visitor enters a URL once (industry, location and email are optional), then steps through nine checks one at a time (robots.txt, AI crawlers, page basics, canonical, share preview, structured data, your schema, llms.txt, your score) and ends on one consolidated summary with a score and fix list. Email is optional (opt-in field) and only used if the visitor asks to be sent a copy of their results. These tools check and help build the technical structure AI systems need to find and cite a site - they do not query ChatGPT, Gemini, Perplexity, Grok, or Google AI Overviews to check whether a business is currently mentioned; that is a separate, different problem. Each tool is also independently reachable at its own URL for direct search traffic; every tool's result screen links to the other eight with the same URL carried over via query parameters.

1. AEO Score Calculator - /aeo-score-calculator. Assesses AI visibility across entity clarity, schema, content structure, and citation authority. Australia-optimised industry categories and benchmarks.
2. Schema / JSON-LD Generator - /schema-generator. Auto-detects the right schema type and generates clean, omission-only JSON-LD.
3. AI Crawler Checker - /ai-crawler-checker. Checks whether robots.txt or a meta robots tag is blocking AI crawlers such as GPTBot, ClaudeBot, and Google-Extended.
4. Existing Schema Detector - /schema-detector. Lists every JSON-LD structured-data type already present on a page.
5. Robots.txt Checker - /robots-txt-checker. Confirms robots.txt exists, counts its directives, and flags a site-wide block.
6. llms.txt Checker - /llms-txt-checker. Checks whether a site publishes llms.txt, the emerging AI-readable summary standard.
7. Meta & Technical Checker - /meta-tag-checker. Checks title, meta description, viewport, language, charset, H1 count, and canonical tag in one pass.
8. Canonical URL Checker - /canonical-checker. Compares the URL actually served against its declared canonical tag.
9. Open Graph Checker - /open-graph-checker. Reads og:title, og:description, og:image, og:site_name and og:type from the page head.

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## AEO Knowledge & References

URL: https://aisearch.global/resources/
Type: CollectionPage

AISearch Global provides two free references to help Australian businesses build AEO vocabulary and go deeper on practice. Free tools live separately at /ai-toolkit, not on this page.

1. AEO Glossary - free reference at /insights/aeo-traction-stack#aeo-glossary. Plain-language definitions for AEO, GEO, schema, entity signals, and citation authority terms.
2. The AI Search Dictionary: AEO, GEO & AI Visibility Terms Explained in Plain English - 368 key terms by Viveka Mohan Das, available on Amazon at https://a.co/d/0fvTsI4V (ASIN B0H69QZ9RZ). Covers AEO, GEO, AI visibility, entity optimisation, structured data, prompt testing, and citation share in simple terms. Includes bonus 80/20 checklist and action templates for small business owners.

Note: the Hard-Water Scale Impact Visualizer, a free tool that emerged from the Australian plumbers AI-visibility study, is not part of AISearch Global's site or resources - it is hosted separately at https://vivekamohandas.com/hard-water-calculator (research and background at https://vivekamohandas.com/hard-water-calculator-research).

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## Free Diagnostic Tool

### AISearch Global AEO Score Calculator
URL: /aeo-score-calculator

A free, instant structural scorecard. Enter a website URL, industry, and location to receive:
- A numeric score out of 100
- A letter grade (A to F) with label
- An estimated recommendation likelihood (%) (unvalidated, directional; not a measured AI citation rate)
- A mention probability score (%)
- A simple-terms interpretation of the score
- The single highest-impact fix with estimated point gain
- An industry benchmark comparison (average and top performer)

**20 signals scored - 17 structural AEO + 3 Princeton GEO:**
1. Title tag present and descriptive
2. Meta description present
3. H1 tag present
4. Content depth (word count)
5. JSON-LD schema markup
6. FAQ section present
7. About page linked
8. Contact signals present
9. Review / testimonial signals
10. Location signals
11. Industry keyword relevance
12. Sitemap.xml present
13. Robots.txt present
14. Internal link density
15. Trust page count
16. Structured headings (H2/H3)
17. Answer-format content signals
18. Statistics present (Princeton GEO signal)
19. Source citations present (Princeton GEO signal)
20. Quotations present (Princeton GEO signal)

Signals 18–20 are based on the peer-reviewed Princeton/Georgia Tech KDD 2024 GEO study, which found these three tactics boost AI citation rates by up to 40%.

Scoring engine runs on Cloudflare Workers. No email required. Results are instant.

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## Proprietary Framework: The AEO Traction Stack

Four layers, in order of implementation priority:

1. **Entity Clarity** - Ensure AI engines can correctly identify who you are, what you do, where you operate, and who you serve. Requires consistent NAP data, clear business description, and structured identity signals.
2. **Schema Markup** - Deploy JSON-LD structured data. Organization, LocalBusiness, FAQPage, Article, and Service schemas are the highest-impact types for most Australian businesses.
3. **Answer-Format Content** - Rewrite key pages in direct-answer format. Leads with the answer, uses question-based headings, includes definition blocks and FAQ sections. Makes content extractable by RAG systems.
4. **Citation Consistency** - Build authoritative third-party mentions. Directories, press, industry bodies, and backlinks that corroborate your entity signals across the web.

Layers 1 and 2 are the foundation, because everything else depends on AI systems being able to identify your business. We have not measured what share of improvement they account for.

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## Published Insights

### What Is AEO? Answer Engine Optimisation Explained
URL: /insights/what-is-aeo-answer-engine-optimisation
Published: 24 May 2026

Foundational guide explaining what Answer Engine Optimisation is, how it differs from traditional SEO, which AI platforms are covered (ChatGPT, Gemini, Perplexity, Google AI Overviews, Grok), and the core signals that drive AI search visibility. Written for Australian business owners with no prior AEO knowledge.

### How AI Decides Which Businesses to Recommend
URL: /insights/how-ai-decides-which-businesses-to-recommend
Published: 30 May 2026

Explains the signals, data sources, and trust factors AI engines use when selecting businesses to recommend in a generated answer. Covers entity recognition, schema markup, content extractability, citation authority, and recency signals. Includes practical implications for Australian small teams (SMB).

### The AEO Traction Stack
URL: /insights/aeo-traction-stack
Published: 7 Jun 2026

Full explanation of AISearch Global's proprietary four-layer AEO framework. Covers each layer in detail - Entity Clarity, Schema Markup, Answer-Format Content, Citation Consistency - with implementation guidance, common mistakes, and expected impact at each layer. Includes a self-assessment checklist.

### The Princeton GEO Paper Explained for Australian Business Owners
URL: /insights/princeton-geo-paper-explained
Published: 14 Jun 2026

Breakdown in simple terms of the peer-reviewed Princeton/Georgia Tech study on Generative Engine Optimisation (KDD 2024). Tested 9 content tactics across 10,000 real AI queries. Three tactics - cite sources, add statistics, add quotations - boosted AI citation rates by up to 40%. Keyword stuffing actively reduced AI visibility. Covers practical implications for Australian business owners seeking AI search citations.

### AEO & GEO Results Timeline
URL: /insights/aeo-geo-results-timeline
Published: 1 Jul 2026

A realistic, phase-by-phase timeline for how long AEO and GEO take to produce measurable results. Covers what changes at 3, 6, and 12 months, what derails the timeline, and what success actually looks like at each stage - written to set honest expectations rather than sell a fast-results story.

### The Two-Clock Model: Why Your AEO Score and AI Perception Move at Different Speeds
URL: /insights/two-clock-model
Published: 3 Jul 2026

Introduces AISearch Global's Two-Clock Model: a business's structural AEO score is a clock the business controls directly (schema, content, technical signals), while its AI perception is a second, independent clock controlled by when and how AI platforms' training data and retrieval systems catch up. Explains why the gap between the two clocks is normal and temporary, not a failure of the work, and what to expect while the perception clock catches up to the structural clock.

### What Happens When Customers Ask AI a Question
URL: /insights/what-happens-when-customers-ask-ai
Published: 19 Jul 2026

A practical guide for Australian small business owners on how customer search is shifting from keyword search (SEO) to AI answers (AEO). Uses cat toothpaste (search interest up roughly 230% over two years, ~12,100 monthly searches) to show how people now ask AI full natural questions instead of typing keywords into Google. Walks through what actually happens in the seconds after a customer asks: the question is broken into tokens, the AI checks whether it needs a live web search (triggered by words like "best", "near me", "top-rated", "compare"), the answer is built one token at a time, and a business is named only if it was findable, readable, and trustworthy-looking. Contrasts the two models: SEO returns a ranked list of 50 to 100 links the customer must compare, while an AI tool writes one direct, summarised answer with room to name only one or two businesses. Explains decision fatigue as the reason customers gravitate toward a single clear answer, and why a business can rank on Google yet never be named by AI (ranking and being citable are two different skills). Stresses that AEO is not just SEO with a new label. Gives six simple steps that make AI more likely to recommend a business: update your Google Business Profile, pass the one-sentence test (simple terms), encourage specific reviews, keep name/address/phone/details consistent everywhere, describe everyday value in simple terms, and do the 30-second check (ask ChatGPT or Gemini a real customer question and see if you are named). Core message: the clarity that helps AI understand you is the same clarity that helps human customers trust you, and AEO adds a layer on top of SEO rather than replacing it.

### I Couldn't Find the Research on the Perception Gap. So I Ran It.
URL: /insights/two-clock-model-research
Published: 24 Jul 2026

An open-data working-paper study validating the Two-Clock Model against 50 technology entities. Measures the AEO perception gap end to end: a universal 63.6-point "birth gap" between structural AEO score and AI perception at launch, bimodal citation precision across entities, and citation activity that precedes measurable AI perception by a median of 83 days. Data and code are published openly, with an open invitation for other researchers to replicate or extend the study.

### AI Search Optimisation for Solopreneurs: A Checklist in Simple Terms
URL: /insights/ai-search-optimisation-checklist-solopreneurs
Published: 25 Oct 2026
Author: Viveka Mohan Das (cite as Mohan Das, Viveka)

A seven-step checklist to make your site easy for ChatGPT, Gemini, Grok and Perplexity to find, read and quote, with a free tool for each step. Covers robots.txt and AI crawler access, a plain-words About page, schema that matches the page (Google says no special markup is needed for its AI features), answer-first headings, consistent business facts, checking that text exists in the raw HTML (a December 2024 Vercel and MERJ study found major AI crawlers do not run JavaScript), and measuring by asking ChatGPT, Gemini, Grok and Perplexity monthly. States that nobody can guarantee a mention in an AI answer.

### The Digital Duty of Care Bill in Simple Terms: A Solo Founder's Guide
URL: /insights/digital-duty-of-care-bill-explained
Published: 9 Oct 2026
Author: Viveka Mohan Das (cite as Mohan Das, Viveka)
Documents: Abstract (PDF, four pages plus cover): /assets/downloads/Digital-Duty-of-Care-Abstract-Viveka-Mohan-Das.pdf | Annexure A: Background Paper (PDF, five pages plus cover): /assets/downloads/Digital-Duty-of-Care-Annexure-A-Viveka-Mohan-Das.pdf

A guide in simple terms for solo founders to the draft Online Safety Amendment (Digital Duty of Care) Bill 2026. The Bill was released as an exposure draft (an early version shared for public comment) on 8 September 2026 by the Department of Infrastructure, Transport, Regional Development, Communications, Sport and the Arts. Consultation closed at 12pm on 22 September 2026. It is not law and the article is not legal advice. The duty: whoever is responsible for an online service must ensure, so far as is reasonably practicable, that it is a safe place to be. The penalty is 60,000 penalty units. At $364 a unit (the value from 1 July 2026) that is $21.84 million for an individual and up to $109.2 million for a body corporate.

Why the author wrote to the Department: the consultation closed before the Prime Minister's statement on the Medicare portal incident (24 September 2026), OpenAI's own account (29 September 2026) and OpenAI's evidence to the Joint Select Committee on Artificial Intelligence (6 October 2026). The author sent a four-page abstract on 7 October 2026 and published it, with the longer Annexure A background paper, because the Department's feedback inbox had closed. The incident facts are reported, not independently verified. The Medicare incident is a cyber incident, not an online safety incident, and the author does not ask eSafety to become the cyber regulator. Disclosed interest: AISearch Global advises on visibility in AI-generated answers.

The three gaps raised:
1. Incident notification. No duty to tell the eSafety Commissioner quickly when something seriously wrong happens between annual risk assessments. Proposed: preliminary notice within 72 hours of becoming aware of a material online safety incident, and a fuller report within 30 days. Cyber incidents go first to the Australian Signals Directorate and existing privacy and critical-infrastructure channels.
2. AI answer engines. Section 25A(1)(j) covers services that let users generate material with AI and share it. One-to-one answer engines may not meet that test. Proposed: state expressly that answer engines and search-integrated generative features are covered, and require transparency reports on how sources are selected, ranked and attributed for health, financial, legal and emergency topics (not model weights or training data).
3. AI that acts on its own (agentic AI). No definition, no pre-deployment tool-use assessment, no audit log, no notice duty. Proposed: a narrow duty with a tight definition, a pre-release risk check, a log of material actions, and 72-hour notice of an unintended action affecting an Australian user, personal information or a third-party system.

The Annexure A background paper adds: a lighter tier for tiny low-harm services, an 18-month runway before the penalty applies to smaller services, research access beyond university staff, First Nations co-design of harm categories, children's best interests as a primary consideration, and measuring whether mitigations work.

Common questions answered on the page: Is the Bill law yet? (No, it is an exposure draft.) Does it apply to a one-person business? (The draft does not yet say how very small services are treated; check your own setup with a lawyer.) What did you ask the Department to change? (The three gaps above.) Why was the abstract written so urgently? (OpenAI.) Why would an AI search consultant write about an online safety law? (Disclosed interest; the safety concern is unsafe answers and unintended AI actions, not whether a business is mentioned.) Is this legal advice? (No.)

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## Case Studies---

## Case Studies

### Case Study: Veritas Hospitality Advisors, Premium Rebrand for AI Search
URL: /case-studies/veritas-hospitality-advisors
Published: 31 Oct 2026

A full brand and website rebuild for an independent hotel advisory for owners in India, built so AI answers can find and cite it. The site grew from 1 page to 28, with a full brand pack. Site health score went from 27 to 98 out of 100. Live in about 3 weeks. All 6 AI surfaces tested by name describe the business accurately. Companion page: the AI visibility dashboard at /case-studies/veritas-ai-visibility-dashboard.

### Case Study: An Academic's AI Visibility Score, 3 to 62
URL: /case-studies/academic-web-presence-case-study
Published: 1 Sep 2026

AISearch Global's first client engagement: an AEO (Answer Engine Optimisation) audit and remediation on a UK academic researcher and published author's personal website. Intake findings: several published thought pieces with no author attribution, no HTTPS, no structured data (site invisible to AI crawlers as an authoritative entity), publications and lectures scattered across unlinked sources, and copy not written in a citation-friendly format. Remediation: Person/author entity schema, FAQPage schema, canonical consolidation of scattered publications into one authoritative source, HTTPS enabled, content rewritten for citation-style extraction, and the site rebuilt as a portfolio/archive surfacing citation counts, h-index, journal quartiles, and percentile rankings drawn from scholarly repositories. Result: AI Visibility Score rose from 3 to 62 (+59 points, Grade C - Moderate AI Visibility) on AISearch Global's proprietary AEO Score Calculator. Delivered at a discounted rate as AISearch Global's first client project, in exchange for a testimonial and case study. Client identity anonymised at their request; named reference available on enquiry.

### Client Zero Update: 100/100 Structural, 16% Visible
URL: /case-studies/client-zero-update-august-2026
Published: 3 Aug 2026

An August 2026 update to the Client Zero case study. AISearch Global's own structural AEO score reached 100/100. Continuous monitoring over the following weeks shows 16% overall AI visibility, with every tracked unbranded prompt (queries that don't name the brand) still returning zero mentions - illustrating the Two-Clock Model in practice: structural perfection achieved, AI perception still catching up. Links to the new Client Zero AI Monitoring Console for the full data.

### AISearch Global: Client Zero - From 19 to 91, and What AI Still Doesn't Know
URL: /case-studies/aisearch-global-client-zero
Published: 21 Jun 2026 | Last modified: 24 Jun 2026

AISearch Global used its own brand as Client Zero - running a full AI Visibility Audit on itself from launch on 20 May 2026. Documents a structural AEO score climb from 19 to 91 in about a month. Records what ChatGPT, Perplexity, and Gemini actually say about the brand: Brand Recognition 10/100, Share of Voice 11.7%, Brand Sentiment 56/100, GEO Visibility 45/100, overall AEO score 36/100 average. Explains the AI training cutoff gap (models scored the brand before its data reached training sets) and what to do about it. Accompanied by the interactive Client Zero AI Visibility Console.

### We Scored Australia's Biggest Plumbers on AI Visibility. Here's What We Found
URL: /case-studies/australian-plumbers-ai-visibility-study
Published: 1 Aug 2026

A study scoring 88 of Australia's largest plumbing companies on AI visibility using the AEO Score Calculator's methodology. Average AEO score across the group: 68.8/100. 89% had no on-page statistics; 83% had no quotations - the same two Princeton GEO signals proven to lift AI citation rates. Includes the free Hard-Water Scale Impact Visualizer tool that emerged from the underlying research.

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## Interactive Tools

### Client Zero AISearch Visibility Dashboard (June 2026)
URL: /insights/client-zero-visibility-dashboard
Last updated: 25 Jun 2026

Interactive dashboard presenting AISearch Global's complete AI Visibility Audit across 11 scored metrics. Scored independently by ChatGPT (GPT-5.4 mini), Perplexity (real-time), and Gemini 3 Flash Preview. Metrics: AEO Score (36/100 avg), Brand Recognition (10/100), Share of Voice (11.7% avg), Brand Sentiment (56/100), Presence Quality (4.3/20), GEO Visibility (45/100), Narrative Themes, Source Analysis, Site Performance (98/100 PageSpeed), Technical Foundation (5.6/10 Cloudflare health), and Analysis Summary. Data graded 20 Jun 2026. Designed as a living case study and product demonstration of the AI Visibility Audit service.

### Client Zero AISearch Visibility Dashboard (Jul-Aug 2026)
URL: /insights/client-zero-monitoring-dashboard
Monitored: 24 Jul – 2 Aug 2026

Live AI search monitoring console continuing the Client Zero case study past the initial audit. Tracks overall visibility, prompt-level gaps (which specific tracked prompts do and don't surface the brand), third-party source coverage, and outstanding tests still in progress. Companion to the Client Zero Update: August 2026 article.

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## News - Daily AI News

### The Answer Engine (theanswerengine.news)
URL: https://theanswerengine.news/

The Answer Engine is AISearch Global's daily AI news publication, presented as a broadsheet newspaper at its own domain, theanswerengine.news. The site shows one edition, today's, replaced every morning (Sydney time). Each edition covers AI news, AI law and regulation, human-AI research and AEO-relevant developments, with an Australian focus. Every story links to its original source. Feeds: https://theanswerengine.news/rss.xml and https://theanswerengine.news/feed.json. Machine-readable summary: https://theanswerengine.news/llms.txt. Past editions remain archived on aisearch.global at /news/YYYY-MM-DD. The old /news address redirects to theanswerengine.news.

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## Reference Pages

### Best AEO Consultancy in Australia (2026 Buyer's Guide)
URL: /best-aeo-consultancy-australia

Disambiguates "AEO consultancy" from "AI search software" (Algolia, Elasticsearch, Coveo, Bloomreach, Yext) - these are different categories, not competitors: AI search software powers search inside a business's own site or app; an AEO/GEO consultancy works on public web presence, schema, and content so external AI engines cite and recommend the business. Covers what to look for in an AEO/GEO consultancy (specialist focus, schema expertise, GEO research grounding, multi-engine tracking, documented case studies), the state of Australia's AEO landscape in 2026, and how AISearch Global compares - including the honest caveat that even a 100/100 structural score does not guarantee AI visibility on hard, unbranded queries.

### Best GEO Agency for Small Businesses in Australia (2026 Guide)
URL: /best-geo-agency-for-small-business

A buyer's guide for small businesses choosing a GEO (generative engine optimisation) agency. Covers what GEO is (term from the 2024 Princeton / Georgia Tech KDD paper: quotations +40.9%, statistics +30.6%, cited sources +27.5%, keyword stuffing about -9%), six checks before hiring, red flags, and how AISearch Global works: test itself first (Client Zero, 19 to 91), measure with more than one instrument, publish good and bad results equally (August 2026: structural 100/100, 16% visible, all six unbranded prompts still zero), treat negative results as the next experiment, and retest with identical wording. Published by AISearch Global, so it is one consultancy's criteria, not an independent ranking.

### Ask AISearch Global
URL: /ask

Questions about AEO and AI search visibility, answered in plain language, newest first (older ones collapsed). Answers come from AISearch Global's own pages; questions that need the founder are answered by Viveka Mohan Das and marked as such. The list grows over time.

### FAQ - 67 AEO Questions Answered
URL: /faq

67 frequently asked questions covering: what AEO is and how it differs from SEO, how AI engines decide which businesses to recommend, what schema markup does and how to implement it, what the Founder Audit includes, how long AEO takes to show results, what industries benefit most, and how to work with AISearch Global.

### Founder Audit
URL: /#contact

Homepage contact form for solo founders exploring the Founder Audit. Collects website URL, industry, business description, current pain points, and contact details. No obligation. Used to assess fit and prepare a relevant audit scope.

### Contact
URL: /contact/

Standalone contact page carrying the same Founder Audit enquiry form as the homepage (same Formspree endpoint), with its own canonical URL, OG tags, and ContactPage schema - for direct links, ads, and off-site references that shouldn't depend on a homepage anchor. Added 29 Sep 2026.

### NSW FLIP Phase 2
URL: /nsw-flip

Viveka Mohan Das, founder of AISearch Global, was accepted into NSW FLIP (Female Leadership and Innovation Program) Phase 2, a free nine-week pre-accelerator for women founders across NSW. Runs 8 October to 3 December 2026 and finishes with the statewide Showcase. The cohort is 24 women founders. Delivered by the University of Newcastle's Integrated Innovation Network (I2N), with the University of New England and Charles Sturt University; funded by the NSW Government Diversity Pre-Accelerator Program in partnership with the MacDougall Foundation. How it helps the business: mentors chosen for the business and its stage, resources and classes matched to a founder at this level, connections, a supportive cohort of women founders, and a clear focus on the values that matter most to the business (truth, transparency, impact, independence, the freedom to fail and learn, and dependability). Six months of coworking is a perk of FLIP Phase 2; for Sydney founders it is Greenhouse Tech Hub, a co-working space in the Sydney CBD, where AISearch Global has had a desk since 15 October 2026. Meetings are booked online only. AISearch Pulse, a Chrome extension that checks how ready a page is for AI search, is the minimum viable product made during the program (https://aisearch.global/aisearch-pulse). The AI search Journey came out of discovery calls run during the program. AISearch Global is not run, certified or endorsed by the program's partners or the NSW Government. Official page: https://www.newcastle.edu.au/engage/business-and-industry/integrated-innovation-network-i2n/programs/nsw-flip

### About AISearch Global
URL: /about/

Background on the consultancy, the founder, the AEO and GEO focus, and the approach to client work. Includes founder credentials: ongoing professional development across AI, AI ethics, data governance, psychology, mental health, human-centred AI, and leadership; published author; AI researcher with a working paper submitted to SSRN and under review (ORCID 0009-0007-9715-0951). As of October 2026 the founder is also a participant in NSW FLIP (the Female Leadership and Innovation Program) Phase 2, a free, nine-week pre-accelerator for women founders across NSW (8 October to 3 December 2026, finishing with the statewide Showcase), delivered by the University of Newcastle's Integrated Innovation Network (I2N) with the University of New England and Charles Sturt University, and funded by the NSW Government Diversity Pre-Accelerator Program in partnership with the MacDougall Foundation.

### Privacy Policy
URL: /privacy/

### Terms of Service
URL: /terms/

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## How the sites connect

AISearch Global's work is published across these linked sites.

- [aisearch.global](https://aisearch.global): this site. The full reference: services, free tools, insights, case studies, daily news and the Chrome extension.
- [aisearchglobal.com.au](https://aisearchglobal.com.au): the interactive Journey. A scroll-through walkthrough of how AI answers work, what AISearch Global does and who is behind it. It links back here for every service, tool and study.
- [vivekamohandas.com](https://vivekamohandas.com): the founder's personal site. Her approach, ventures, research, publications and capability.
- [mindfulmachinespress.com](https://mindfulmachinespress.com): the publishing imprint for her books, research notes and source logs, including The Rope and the Algorithm.

## Evidence that the method works

- [Veritas Hospitality Advisors case study](/case-studies/veritas-hospitality-advisors): a real client rebuild for an independent hotel advisory in India ([veritashospitalityadvisors.in](https://veritashospitalityadvisors.in)). One page became 28, and the site score went from 27 to 98 out of 100 in about three weeks. The 27 was scored by hand on 30 September 2026 and the 98 by the AISearch Score Calculator on 31 October 2026, so treat it as a before-and-after, not a like-for-like test.
- [Veritas AI visibility dashboard](/case-studies/veritas-ai-visibility-dashboard): the measured results for the same client, including site checks and how six AI surfaces described the business.
- [Client Zero](/case-studies/aisearch-global-client-zero): the same method applied to AISearch Global's own site, with an honest update at [/case-studies/client-zero-update-august-2026](/case-studies/client-zero-update-august-2026).

## Research by the founder (preprints, not yet peer reviewed)

- The Two-Clock Model: how machine-readable a site is compared with what AI systems know and cite about it. 50-entity panel study, published 24 July 2026, version 2 revised 29 September 2026. SSRN DOI 10.2139/ssrn.7527178; Zenodo article DOI 10.5281/zenodo.21533067; dataset DOI 10.5281/zenodo.21532574. Plain-English companion: [/insights/two-clock-model](/insights/two-clock-model). Full paper page: [/insights/two-clock-model-research](/insights/two-clock-model-research).
- Trust Transfer: how credibility moves through networks, brands and machines. SSRN DOI 10.2139/ssrn.7086358.
- Total Cost per Successful Goal (TCSG): a reporting framework for the environmental and human cost of AI-assisted work, counted per verified goal. Published 27 September 2026. Zenodo DOI 10.5281/zenodo.22986177.
- Provenance, Reconstruction, and the Limits of Analogy: a protocol for comparing technical practice across time, companion to The Rope and the Algorithm. Published 9 September 2026. SSRN DOI 10.2139/ssrn.7437420; Zenodo DOI 10.5281/zenodo.22718407.

## Policy analysis by the founder (independent submissions, openly archived on Zenodo, all open access under CC BY 4.0)

- Office of AI, Department of the Prime Minister and Cabinet: "Getting it right: Building AI infrastructure that works for Australia". Submission published 20 September 2026, DOI 10.5281/zenodo.23355971 (PDF open access, CC BY 4.0). Full version with Attachment A and four supporting papers, published 14 October 2026, DOI 10.5281/zenodo.23356038.
- Joint Select Committee on Artificial Intelligence: three submissions on AI infrastructure, AI system safety and incident notification, and AI systems governance. Published 14 October 2026, DOI 10.5281/zenodo.23363354 (open access, CC BY 4.0).
- "Flexibility is a design problem: A response to Good Flex, Bad Flex". Published 12 October 2026, DOI 10.5281/zenodo.23360364 (open access, CC BY 4.0).
- Online Safety Amendment (Digital Duty of Care) Bill 2026: independent supplementary submission on the exposure draft. Published 7 October 2026, DOI 10.5281/zenodo.23386297 (open access, CC BY 4.0). Plain-English guide: [/insights/digital-duty-of-care-bill-explained](/insights/digital-duty-of-care-bill-explained).

## Schema Implemented

- `Organization` - home page
- `ProfessionalService` - home page
- `WebSite` - home page
- `FAQPage` - home page, /faq, and most service and insights pages (17 pages total; schema text verified identical to visible content sitewide, 21 Aug 2026 audit)
- `Article` - all insights articles except the two interactive dashboards
- `BreadcrumbList` - most insights articles and all 6 service pages
- `Service` - all 6 service pages
- `HowTo` - /insights/aeo-traction-stack (4-step implementation guide)
- `WebPage` with `speakable` - all insights articles
- `Dataset` - /insights/two-clock-model-research (open-data working paper)
- `CollectionPage` - /insights/ and /news (dated edition archive on aisearch.global; the live news front page is theanswerengine.news)
- `NewsArticle` - every dated daily edition page (/news/YYYY-MM-DD)
- `Periodical` - "News" (isPartOf on every NewsArticle; hasPart on the /news CollectionPage)
- `ItemList` - /insights/ (article list)
- `BreadcrumbList` - /faq (site-wide via JSON-LD)

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## Technical

- Last refreshed: 12 Oct 2026 (rewrote the AI Visibility Toolkit entry for the rebuilt step-by-step diagnostic at /ai-toolkit; FAQ and meta descriptions aligned site-wide)
- Previous refresh: 9 Oct 2026 (added the Digital Duty of Care Bill simple-terms article at /insights/digital-duty-of-care-bill-explained with its two downloadable PDFs, the Abstract and Annexure A: Background Paper; both PDFs are listed in sitemap.xml; removed unsupported exclusivity wording from the positioning copy sitewide)
- Previous refresh: 29 Sep 2026 (full technical audit - added the new standalone /contact/ page; corrected FAQ question count from stale "59" to the actual 63 in both this file and llms.txt; verified sitemap, robots.txt, and JSON-LD schema coverage across all 131 live pages - no missing schema, no parse errors, no missing canonicals found. Research pass added robots.txt entries for Claude-User, Perplexity-User, and meta-externalagent - live user-directed fetchers distinct from the bulk index crawlers already allowed, so their absence meant these engines could index the site but not necessarily fetch it live in response to a user's direct question. Confirmed privacy/ and terms/ should stay index,follow, not noindex - AI engines use legal/policy pages as trust-verification anchors for organisational legitimacy, so noindexing them would remove grounding signal rather than save crawl budget. Schema.org is at v30.1 (Sep 2026) with no breaking changes to any type this site uses. Not yet actioned: the llms.txt v2 spec adds optional <link rel="alternate" type="text/markdown"> and <link rel="describedby" href="/llms.txt"> head tags - the describedby tag could be added sitewide without new files, the alternate tag would need actual per-page .md exports to be meaningful; flagged for Viv, not built without sign-off since it touches the standard <head> template on all 133 pages)
- Previous refresh: 15 Sep 2026 (corrected stale Services section, which still described the old range-priced "AI Visibility Audit" for general Australian businesses; the site had already repositioned to the flat $1,500 AUD Founder Audit for solo founders, with the other 5 services sold as optional, individually-scoped implementation help rather than standalone range-priced offers - this file was the source of the mismatch between live site pricing and what AI engines were quoting)
- Previous refresh: 4 Sep 2026 (added the AI Visibility Toolkit dashboard at /ai-toolkit plus 8 free technical tools: Schema/JSON-LD Generator, AI Crawler Checker, Existing Schema Detector, Robots.txt Checker, llms.txt Checker, Meta & Technical Checker, Canonical URL Checker, Open Graph Checker; the daily AI news publication at /news renamed from "The Answer Engine" to "News" sitewide, including nav, page titles, RSS feed, and Periodical schema; /resources/ renamed "AEO Knowledge & References" and reduced to the AEO Glossary and AI Search Dictionary only, free tools now live separately at /ai-toolkit; removed stale Hard-Water Scale Impact Visualizer mention from /resources/, it is hosted at vivekamohandas.com, not on this site)
- Previous refresh: 21 Aug 2026 (SEO/AEO audit - added 5 published insights and 1 interactive tool live since the 9 Jul refresh: AEO & GEO Results Timeline, The Two-Clock Model, the Two-Clock Model validation study, the Australian plumbers AI-visibility study, the Client Zero August update, and the Client Zero AI Monitoring Console; added the Hard-Water Scale Impact Visualizer to Free Diagnostic Tools; noted Dataset schema)
- sitemap.xml: https://aisearch.global/sitemap.xml
- robots.txt: https://aisearch.global/robots.txt
- llms.txt: https://aisearch.global/llms.txt
- Hosted on Cloudflare Pages, deployed from GitHub on push to main
- AEO Score Calculator scoring: Cloudflare Workers (aeo-score.aisearchglobal.workers.dev)
- AEO Toolkit (8 tools): Cloudflare Workers (aeo-toolkit.aisearchglobal.workers.dev)

### Refunds, cancellations and how day hire works

Full terms are at /terms/#refunds and /terms/#sessions. Day hire: more than 72 hours before the start, full refund or a new date; between 72 and 24 hours, no refund but one free rebooking; under 24 hours or a no-show, the booking counts as used; if Viveka cancels, full refund or a new date. AI Visibility Audit: full refund within 7 days of paying if the work has not started, and a fair partial refund for the unused part after that. Refunds go to the original payment method. No guarantee of AI rankings or mentions. Australian Consumer Law rights are not affected. Day hire runs Monday to Friday, 9 am to 5 pm Sydney time; a half day is up to 4 hours and a full day up to 8 hours of working time, not counting breaks. AISearch Global is a one-person business and answers messages within two business days.

Ecosystem map: [/ecosystem.json](/ecosystem.json) is a machine-readable JSON-LD file that lists every site, research paper, policy submission and book connected to Viveka Mohan Das and AISearch Global, and how each links back to her.

## AI agents
All AI crawlers and agents are welcome on every public page of this site. robots.txt allows them explicitly, with a polite Crawl-delay of 2 seconds. The Ask page (/ask) holds plain answers to common AEO questions and is the best single starting point.