Visible and Accurate in AI Search and Assistants

What's inside

1. Level 1: Training Data Versus Live RetrievalFree
   Learn the two ways an AI assistant answers a question about your brand: from what the model learned in training, or from web pages it fetches at answer time and cites, and why only the second one sends clicks.
2. Level 2: How Google AI Overviews and AI Mode Pick SourcesFree
   Understand what Google's own documentation says about how AI Overviews and AI Mode pick and link sources from the Search index, and which controls (Googlebot, snippet controls, Google-Extended) do and do not affect them.
3. Level 3: How ChatGPT, Copilot, Claude, Perplexity and Gemini Cite
   Compare how each major assistant gets live web results (its own index, a partner search engine, or fetching pages on a user's request) and how each one shows citations.
4. Level 4: Documented Facts Versus Industry Speculation
   Learn to sort claims about generative engine optimisation into three groups: confirmed by vendor documentation, supported by independent studies, or speculation, and record the source and date read for each.
5. Level 5: Entities and Knowledge Panels
   Understand how search engines and assistants treat a brand as an entity with linked attributes, and how to claim, check and suggest corrections to a Google knowledge panel.
6. Level 6: Wikipedia and Wikidata: Notability and COI Rules
   Learn the notability, sourcing and conflict-of-interest rules of Wikipedia and Wikidata, and how a business can take part openly without breaking them.
7. Level 7: Consistent Brand Facts in Directories and Reviews
   Make your brand facts match across business profiles, industry directories, marketplaces and review platforms, which assistants often retrieve and cite.
8. Level 8: Honest Participation on Reddit and Forums
   Understand why forum and community discussions show up often in AI answers, and how to take part openly and usefully without astroturfing or breaking community rules.
9. Level 9: Original Data and First-Hand Evidence
   Learn why original research, proprietary data and documented first-hand experience give assistants a source they can cite that cannot be found elsewhere.
10. Level 10: Clear Answers and Fair Comparisons
    Structure pages so each question gets a direct, self-contained answer, and write balanced comparisons that assistants can safely quote.
11. Level 11: Expert Authorship and Trust Signals
    Show who wrote and reviewed your content and why they are qualified, in line with Google's guidance on helpful, people-first content and E-E-A-T.
12. Level 12: Structured Data: Its Real Role
    Separate what schema markup documentably does (eligibility for rich results, clear entity information) from unproven claims that it directly increases AI citations.
13. Level 13: robots.txt Rules for Each AI Crawler
    Write robots.txt rules that separate training crawlers, search-index crawlers and user-triggered fetchers for each vendor, and weigh the visibility trade-offs of each choice.
14. Level 14: Rendering, Speed and Retrievability
    Make sure the main content can be read without client-side JavaScript, loads fast and is not blocked by bot protection, so AI fetchers can retrieve and quote it.
15. Level 15: llms.txt and Other Proposals, Stated Honestly
    Assess llms.txt and similar proposals for what they are today: voluntary proposals that, as far as their documentation shows, the major assistants do not confirm they use.
16. Level 16: Product Feeds and Shopping in Assistants
    Get an outline of how product data reaches shopping features in assistants and AI search through merchant feeds, structured product data and merchant programmes, checked against current vendor documentation.
17. Level 17: Measuring AI Visibility
    Measure AI visibility with a repeatable prompt panel, citation tracking tools and GA4 referral data from AI assistants, and understand the limits of each method.
18. Level 18: Finding and Correcting Wrong Statements
    Find out which source causes a wrong AI statement about your brand, fix it there, and use each vendor's feedback channel.
19. Level 19: Ethics and Spam Policies
    Stay within Google's spam policies and other vendors' usage rules by recognising manipulation tactics such as scaled low-value content, hidden prompt injection, fake reviews and astroturfing.
20. Level 20: Final Challenge: Your 90-Day AI Visibility Plan Exam
    Bring the whole course together in a measurable 90-day plan for your own brand, then pass a comprehensive review of every mechanism covered.

Access

The first 2 levels are free with a free account. Every level, the podcast edition and the AI tutor come with All Access at £4.99/month or any Creator plan — see pricing.

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