Free GEO Playbook: a step-by-step method for getting named in AI answers
A free, open method for any industry, built on 110 Singapore buyer questions and open citation data.
- Publisher
- Canlah AI
- Version
- 1.0
- Published
- Updated
- Licence
- CC BY 4.0
Want the five steps before the detail? Start with the 11-section quick guide below. Go to the quick guide ↓
Free to read and reuse · No ranking promises · Not legal advice
The numbers behind this edition
-
22 / 307
ChatGPT citations that were also in the same question’s Google top 10
Round 1 · 60 questions · 23 Sep 2026
-
19 / 507
cited URLs that ChatGPT and Google AI Mode shared for the same question
Round 1 · 60 questions · 23 Sep 2026
-
917
AI citation records, all published as open data
110 questions · 23 Sep 2026
GEO Playbook (v1.0, September 2026) is Canlah AI’s free, CC BY 4.0 GEO (generative engine optimization) method for becoming more likely to be named when buyers ask ChatGPT and Google AI Mode. It is built on 110 Singapore buyer questions asked on 23 September 2026 and published as open data: 917 citation records and 141 ChatGPT answers. Two findings shape it. In the first round of 60 questions, only 22 of 307 ChatGPT citations (7.2%) were in the same question’s Google top 10, against 89 of 219 for AI Mode; and for the same question, the two engines shared just 19 of 507 cited URLs (3.7%). Ranking on Google and being cited by AI are different jobs.
All from one measurement on 23 September 2026, so this is a snapshot; answers in the ChatGPT and Google apps can differ. The data is open (DOI 10.5281/zenodo.23005020) →
The quick guide in 11 sections
One conclusion and one diagram per section. Each ends with a link to the matching section of the full playbook.
01 / 11
ChatGPT cites the source; Google AI Mode cites the summary
Of 54 questions both engines answered, 36 shared not one URL. Work each engine separately. Only about 1% of AI Overview visits click a link (Pew, 2025, US sample): the prize is being named. Snapshot via model APIs, 23 Sep 2026.
02 / 11
A Google top-ten spot covers about 40% of AI Mode, under 10% of ChatGPT
Baseline: Google's organic top ten for the same question, same day, Singapore. By registered domain: AI Mode 53%, ChatGPT 25%. ChatGPT cited no forum or social pages in round one; asked whether one tuition centre was good, it cited a local parents' forum twice. Model APIs, 23 Sep 2026; the app may differ.
03 / 11
Three things you already do: baseline, access, identity
These are pass or fail: a firewall blocking AI, prices in images or mismatched addresses, and every page scores zero. Save answers before changing anything. Don't just append an allow block to robots.txt; it can cancel existing rules. Major AI crawlers skip JavaScript (Vercel & MERJ, 500M+ fetches).
04 / 11
Before you write: how tightly is your advertising regulated?
Unsure? Go stricter: too loose can mean a fine, too strict only costs a few tactics. No licence but selling regulated products like supplements or devices? Your copy is still regulated. Strict-sector red lines: no "from" prices or ranges, no testimonials or before-and-after photos, no competitor comparisons, no asking for reviews, no paid Best or Top list spots.
05 / 11
Write down 30 questions buyers really ask, and keep them all quarter
Source questions from customers' words before buying, ad keywords, autocomplete and Search Console, and competitor pages. Never let AI invent them. Asking just "divorce lawyer", AI Mode listed 0 firms in 10 cities; adding "near me" restored every one (PRWeb, overseas). Our 6 Chinese questions drew 64 citations; fewer than 5 were Chinese pages, all in AI Mode.
06 / 11
AI copies first sentences, mostly from the top 30% of the page
On 15 of 18 law pages, the copied line opened a paragraph. Counter-example: an H2 opening "is a complicated matter" was skipped; a direct answer in the same page's FAQ was copied. Tables go whole, headers included. Positions are estimated by eye; answers were stored to 600 characters.
07 / 11
Price guide pages: build them like the ones AI cites
8 of 8 cited dental price blogs put the year in the title; 10 of 11 cited clinic pages used a statement H1. Exact numbers beat tidy layout: one tutor agency's card said $35–$55, its table $25–$35; AI used the table. Supporting data: price queries trigger AI Overviews 92%–97% of the time (Whitespark, 540 US queries).
08 / 11
The SEO extras you know are rare on cited pages
These are counts on cited pages, not experiments: they aren't what gets a page cited, but that doesn't prove they're useless. Cited pages ran as short as 40 words; the median was about 1,300–1,500. On medical pages, do name the doctor. 88.2% of sites blocking GPTBot still get cited (BuzzStream).
09 / 11
"Who's best?" isn't won by writing a page
Pool the sources across your 30 answers; the 20 most frequent are your targets. Correct what's wrong; if you're missing, start with free official directories and association profiles. Supporting data: 84% of AI citations come from others writing about you, 0.3% from paid placements (Muck Rack). Law and CRM rest on one question each.
10 / 11
Same questions monthly, three numbers
Re-ask your questions three times in one week to see how much results swing on their own; only bigger moves are real. Switch questions or tools and you can't compare. Put a number only you have on your price page, then search next month's answers for it. Nothing moving? Recheck access and identity. Watch just one? Make it errors.
11 / 11
46 cited page types, counted one by one
- 9Both engines60 buying-decision questions, both engines
- +33New wording"What is X", "how do I", ChatGPT only
- +5Outside teardownsPage types from public teardowns
- −1MergedData-report pages folded into statistics sources
- 46TotalOne blueprint each, in the full playbook
The full playbook, in English and Chinese: 17 chapters including 4 appendices, a blueprint for each of 46 page types, sources and sample sizes for key numbers, plus a Dental & Aesthetics Edition and a Law Firms Edition. The open-source version on GitHub is in English, ready for your AI assistant to check your site.
Want help with round one? admin@canlah.ai · WhatsApp +65 8110 0234
Contents · General Edition 17 chapters
Read it online, one page per chapter.
-
Chapter 0
- Start here: how to read this book, and how tightly your advertising is regulated
The 90-day reading order, how strict your industry's rules are, and which pages you can't build
- Start here: how to read this book, and how tightly your advertising is regulated
-
Chapter 1
- How AI picks its answers: what buyers ask, and which pages ChatGPT and Google's AI cite
AI reads pages live, the two engines cite different pages, and three things decide whether you get named
- How AI picks its answers: what buyers ask, and which pages ChatGPT and Google's AI cite
-
Chapter 2
- Let AI read your website: check first, then fix the settings
Access logs, robots.txt, firewalls and nosnippet; save how things stand before you change anything
9 sections
- 2.1 The five gates at a glance, and gate 0: access logs (read-only)
- 2.2 Gate 1 read-only audit: what to check in nosnippet, robots and the WAF
- 2.3 Gate 2: four identities, fetched live (read-only)
- 2.4 What each crawler is for, and judging the door leg by leg (read-only)
- 2.5 Gate 3, read-only: connect the two free AI reports
- 2.6 Fixing the door: nosnippet, the four-step robots merge, the WAF allowlist
- 2.7 Gates 3 and 4: indexing paths, and JSON-LD sealed once
- 2.8 The launch gate for every page
- 2.9 Door-layer troubleshooting and this chapter's acceptance checks
- Let AI read your website: check first, then fix the settings
-
Chapter 3
- Get AI to recognise your business: the same facts everywhere
Name, address, phone, licences and other facts, word for word the same on your site and every profile
6 sections
- 3.1 Why this comes before writing pages · The two-hour checklist
- 3.2 The fact table and the organisation facts page
- 3.3 Person pages and six-trace alignment
- 3.4 Third-party credential tiers, Wikidata and the five business profiles
- 3.5 The brand six questions, and what to do when you find an error
- 3.6 The positioning-statement myth, and the exits from this chapter
- Get AI to recognise your business: the same facts everywhere
-
Chapter 4
- Which questions to go after: pick 30 buyer questions and record how AI answers them today
Where the questions come from, which are worth winning, and saving today's answers as your starting point
8 sections
- 4.1 The full target-picking process and the twelve pre-start questions
- 4.2 The question pool: where the 30 questions come from, how they are balanced, how they are signed
- 4.3 Coarse screen and piles, full rounds, and the brand-six baseline
- 4.4 The web control leg and the frozen baseline (the book's only full spec)
- 4.5 Buyer types, annual opportunity value and the three checks
- 4.6 Four states, two denominators and the abstain line
- 4.7 Actions by state, the ten question types and this quarter's slots
- 4.8 Two shortcuts and this chapter's checklist
- Which questions to go after: pick 30 buyer questions and record how AI answers them today
-
Chapter 5
- Writing pages (1): the 46 page types AI cites, and the rules for every page
The page-type map, the limits by how tightly you are regulated, and the rules every page follows
10 sections
- 5.1 The page-type map: 46 types, six families, three evidence tiers, availability by side
- 5.2 Quick reference by side (1): identify the advertiser first; prices, promotions and freebies, result numbers
- 5.3 Quick reference by side (2): testimonials and reviews, comparisons, lists, titles, outbound links, FAQ and captions
- 5.4 The 30-day writing order and the three mechanical gates
- 5.5 The page unit: one intent cluster, one page
- 5.6 Two legs, two kinds of sentence
- 5.7 Seven rules that hold for every page type
- 5.8 The conclusion block, the density gate and the source gate
- 5.9 Content form, FAQ, Chinese pages and other-language pages
- 5.10 Shared parts for all page types: six checks for numbers, no public price, billing units, dates and schema
- Writing pages (2): the 9 most-cited page types, block by block
Full blueprints for price pages, price guides, comparisons, lists, one-question pages and more
10 sections
- 5.11 Single-service price page (pt01)
- 5.12 Price guide page (1): why it is always the first page (pt02)
- 5.13 Price guide page (2): blueprint, column headers, sentences (pt02)
- 5.14 Official pricing page (pt03)
- 5.15 Comparison page (pt04)
- 5.16 List page (pt05)
- 5.17 One question, one page (pt06)
- 5.18 Eligibility and process page (pt07)
- 5.19 Remedy and second-opinion page (pt08)
- 5.20 Entity anchor pages: three subtypes, and the product detail page (pt09)
- Writing pages (3): quick cards for 33 more page types
Subsidies, reviews, FAQs, step-by-step guides, branch pages, legislation and more
9 sections
- 5.21 Tier-B price types: subsidy limits, parameter basis, category lists, calculators, time-limited promotions
- 5.22 Tier-B selection and reputation types: third-party reviews, sentiment and forums, review aggregates, self-built reputation, verdict-first
- 5.23 Tier-B questions and rules types (1): regulatory obligations, definitions
- 5.24 Tier-B questions and rules types (2): procedure steps, preparation lists
- 5.25 Tier-B questions and rules types (3): schedules, collected FAQ, policy hubs, change notices, misconceptions
- 5.26 Tier-B entity and product facts types (1): branches, verification pages, directory listings
- 5.27 Tier-B entity and product facts types (2): compliance proof, terms, how-to docs and integrations
- 5.28 Tier-B primary sources (1): legislation, regulator guidance, official replies, device documents, case law
- 5.29 Tier-B primary sources (2): statistics sources, registers
- Writing pages (4): 4 unverified page types, and checks before you publish
Five steps before each page goes live, the red line on lying, and common mistakes
- Writing pages (extra): producing hundreds of pages, from studying a competitor to launching in batches
Picking who to learn from, choosing topics, the writing pipeline, checking the numbers, launch and review
10 sections
- 5.D1 The seven steps at a glance, and what to tell clients
- 5.D2 Pick the right study target: the competitor that wins on on-site form
- 5.D3 Take the architecture apart until you can write from it
- 5.D4 Correct with measurement: the competitor sets the skeleton, measurement sets the details
- 5.D5 Topic selection: turn every head and long-tail keyword into a list with one main query per page
- 5.D6 The production pipeline: three agent passes per article, plus automated lint gates
- 5.D7 Six traps we hit: build the safeguards in before you start
- 5.D8 Source audit: trace every number in data reports to its source
- 5.D9 Launch in batches: from launch day to the keep-or-cut decision on day 45
- 5.D10 Add new keywords every month: new keywords come in, a person reviews before anything goes out
- Writing pages (1): the 46 page types AI cites, and the rules for every page
-
Chapter 6
- Beyond your website: get onto the 20 pages AI already cites
Directories, media, associations, reviews and lists, checked every month
8 sections
- 6.1 Where the effort goes, and two numbers that must not sit side by side
- 6.2 The send gate, paid listings and the citation-slot table
- 6.3 Six dispositions, bylined contributions and outreach letters
- 6.4 Three source groups, and the Group B actions
- 6.5 Reviews: how to ask, how to reply, how to fill the empty slot
- 6.6 Annual rankings and off-site asset decay
- 6.7 Long videos narrated by the named expert
- 6.8 Off-site verdicts, common mistakes and rituals to cut
- Beyond your website: get onto the 20 pages AI already cites
-
Chapter 7
- Monthly retest: how to tell whether it's working and what to do next month
Ask the same questions every month, and tell real change from random noise
- Monthly retest: how to tell whether it's working and what to do next month
-
Chapter 8
- Using this in a new industry: four steps to work out your approach
Ten questions, how tightly you are regulated, ten factors and one decision table
9 sections
- 8.1 Four steps for a new industry: ten questions → side check → ten axes → decision table
- 8.2 Five steps to decide the side, and three criteria
- 8.3 The ten axes (1): page types, containers, anchors, regulation, question shapes
- 8.4 The ten axes (2): decision-makers, capacity, attribution, half-life, language
- 8.5 The decision table and rulings
- 8.6 Seven tactics: how regulated and unregulated sides differ, and why each moves rankings
- 8.7 Cheap tactics on the unregulated side, and substitutes on the regulated sides
- 8.8 Unregulated ≠ easy: admission criteria J0–J7
- 8.9 Cross-border: whose law applies
- Using this in a new industry: four steps to work out your approach
-
Appendix A
- The evidence: the numbers and sources behind every conclusion
Conclusions, sample sizes, and what you can say publicly
5 sections
- The evidence: the numbers and sources behind every conclusion
-
Appendix B
- Templates: robots.txt, wording, outreach letters and tables
Copy-ready masters, what to tell clients, outreach and review replies, and work-order headers
- Templates: robots.txt, wording, outreach letters and tables
-
Appendix C
- Five industries side by side
Dental and aesthetics, family law, tuition, B2B software and e-commerce across ten factors
- Five industries side by side
-
Appendix D
- How to write numbers, and the glossary
Rules for labelling numbers, and the book's terms
- How to write numbers, and the glossary
Industry editions
Each industry edition covers only what differs from the General Edition and links back to the sections it builds on.
- Dental & Aesthetics Edition 13 chapters Written for Singapore dental and aesthetic clinics: prices, doctor pages and reviews, within the healthcare advertising rules. Open this edition →
- Law Firms Edition 13 chapters Written for Singapore law firms: how to show fees, why success rates stay off the page, and how to ask for reviews, within the legal publicity rules. Open this edition →
Your industry isn’t here? General Edition Chapter 8 shows how to judge a new industry yourself →
Downloads
- Full playbook, General Edition (PDF) 7.2 MB
- Quick guide (PDF, English) 409 KB
- Quick guide (PPTX, English) 1.1 MB
- Full playbook, General Edition (Markdown) 994 KB
The Chinese original, with its own PDFs and PPTX, is on the Chinese page.
Version for AI assistants
On GitHub the same method is written as instructions an AI assistant can follow to check your site step by step, each step linking back to the matching chapter here. Every chapter of the full playbook also has a Markdown file an AI assistant can read on demand; the contents are at /playbook/index.md.
GitHub: Canlah-AI/geo-playbook
The measurements behind every number are public too: 110 questions, 917 citation rows, 141 ChatGPT answers, CC BY 4.0. Dataset (DOI 10.5281/zenodo.23005020) · Cite the playbook: doi:10.5281/zenodo.23005022
CC BY 4.0 · Content is licensed CC BY 4.0, code MIT · © Canlah AI. When you reuse or adapt it, credit “Canlah AI · GEO Playbook” and link the original page.
Want help with round one?
Book a call, email, WhatsApp or WeChat — tell us your website and your industry.
- Book a 30-min call
- admin@canlah.ai
- WhatsApp +65 8110 0234
- WeChat:CanlahAI