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Guides
Long answers to the questions people ask about AI search, AI in operations, process work and AI accountability, each argued from The Internet Ninja’s own data.
01
AI search and visibility
How ChatGPT, Perplexity, Gemini and Google AI Overviews choose what to cite, measured on real sites, and what a company can do about it.
- 01 AI search optimization: what it is, what is measured, and where to startAI search optimization, argued from TIN's own measurement: what seven AI engines cite, which tactics the evidence supports, and where a business should start. 11 min
- 02 How to get cited by ChatGPT: what it takes to rank in itHow to rank in ChatGPT, argued from TIN's own measurement: what it cites, why most companies never appear in it, and what the schema and llms.txt studies found. 15 min
- 03 How to rank in AI Overviews and show up in Google's answersHow to rank in AI Overviews, from TIN's own measurement: how often Google's top 10 gets cited, what else AI Overviews cite, and the tactics Google says to skip. 14 min
- 04 How to rank in Perplexity: what it cites, and how to become one of its sourcesHow to rank in Perplexity and get cited by Perplexity, argued from TIN's count of 1,099 of its citations: what it cites, how it finds a page, and what to skip. 12 min
- 05 GEO vs SEO: what changes, what does not, and what TIN measuredGEO vs SEO, argued from TIN's own measurement: how much of a Google ranking carries into AI answers, what still pays, and which GEO tactics measured as nothing. 14 min
- 06 How to track brand mentions in AI search and ChatGPTHow to track brand mentions in AI search: which prompts, how many runs per engine, what to count and how long to watch, from TIN's studies and primary research. 15 min
02
AI in operations
AI agents and automation doing real work: who builds them, what they cost, what the deploying companies report, and what breaks.
- 01 AI agents examples: what deploying companies actually reportAI agents examples from named deployments: what each company reported, what its figure counts, and who measured it, from filings to trials and regulators. 17 min
- 02 AI ROI: what companies can show, and what their figures meanAI ROI on the record: what 26 TIN case files show about AI return on investment, who produced each figure, and five questions to ask before you trust one. 14 min
- 03 How to implement AI in business: what the public record says worksAI implementation in eight steps, each tied to a named company's public record: how it piloted, measured, reviewed and scaled AI, and where figures changed. 15 min
03
Process and operations
Process design and operational work, with or without AI: mapping, documenting and improving a process before anyone automates it.
- 01 Process improvement: steps, examples and measured resultsProcess improvement in plain steps: find where a process loses time, change the work, and measure against a baseline. With real examples and where their numbers come from. 16 min
- 02 How to write an SOP (standard operating procedure), with a free templateHow to write an SOP, a standard operating procedure, in eight steps, with a free template to copy and a real case of a procedure followed exactly and wrong. 17 min
04
AI accountability
When AI goes wrong on the public record: court sanctions, regulators’ orders, walk-backs and claims that did not hold up.
- 01 AI fails: the documented record of AI mistakes and what they costAI fails on the public record: lawyers fined, chatbots ruled on, AI claims ordered withdrawn and products pulled, each tied to the ruling, order or statement. 15 min
- 02 AI hallucination examples: 70 cases courts, tribunals and publishers put on recordAI hallucination examples from 70 records in 11 countries: fake court citations, invented quotes and books, company chatbots, what each cost and who recorded it. 15 min
- 03 Google AI fails: what AI Overviews got wrong, and what Google changedGoogle AI fails on the record: what AI Overviews got wrong in May 2024, what Google changed, the Munich injunction against Google, and what it cites now. 10 min
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