Course dossier / 2026
The AI Search Manual
A public chapter-based manual on generative search and Relevance Engineering.
Our reading of the evidence
A reference work for deeper investigation
The manual organizes AI-search architecture, retrieval, content and measurement into chapters. Its reporting tools support applying the reading to an existing project.
Check before choosing
Use it as reference material rather than assuming a scheduled programme, instructor feedback or completion certificate.
Editorial interpretation of the linked public evidence, checked 2026-09-18. No first-hand course testing.
Is The AI Search Manual worth considering?
We have not taken or rated The AI Search Manual. Use its documented curriculum, access terms and prerequisites to judge fit for your work; the evidence below cannot establish learning outcomes or a return on the fee.
Curriculum at a glance
- Retrieval architecture, query fan-out and search intent
- Relevance engineering, entities and content design
- Measurement, simulation and operational team changes
- Specialist chapters on commerce, local search, YouTube and automation
Summary of the available public syllabus; not a complete inventory of private lessons.
Documented topics: GEO, LLM citations, Entity SEO, AI measurement, Traditional SEO, Technical SEO. These describe provider statements or labelled member reports, not tested learning outcomes.
Price, access & learning format
| Price | Free |
|---|---|
| Subject | ai search visibility |
| Product | guide |
| Format | guide |
| Level | unknown |
| Duration | 24 chapters plus appendices; self-directed reading |
| Certificate | unknown |
| Community | unknown |
| Live support | unknown |
| Prerequisites | unknown |
| Instructors | Michael King, Fajr Muhammad, Garrett Sussman, Francine Monahan, Annie Cushing, John Iwuozor |
| Refund terms | Not applicable to free course access |
No course fee; optional tools or upgrades may be separate
Product and subject classification: A public chapter-based manual on generative search and Relevance Engineering. Supporting fields.
Field-level evidence
Evidence records, checked 2026-09-18. Public statements and any labelled member reports describe coverage, not independently tested outcomes.
| Field | Recorded value | Evidence & status | Checked |
|---|---|---|---|
| description | A public chapter-based manual on generative search and Relevance Engineering. | confirmed A public chapter-based manual on generative search and Relevance Engineering. iPullRank ↗ | 2026-09-18 |
| price type | free | confirmed free iPullRank ↗ | 2026-09-18 |
| price amount | 0 | confirmed 0 iPullRank ↗ | 2026-09-18 |
| price currency | Not applicable (free) | confirmed The course or public learning resource has no access fee. iPullRank ↗Mapped by AI-assisted editorial research: The course or public learning resource has no access fee. | 2026-09-18 |
| price note | No course fee; optional tools or upgrades may be separate | confirmed The course or public learning resource has no access fee. iPullRank ↗Mapped by AI-assisted editorial research: The course or public learning resource has no access fee. | 2026-09-18 |
| format | guide | confirmed The provider presents this resource as a manual. iPullRank ↗ | 2026-09-18 |
| level | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| duration | 24 chapters plus appendices; self-directed reading | confirmed 24 chapters plus appendices; self-directed reading iPullRank ↗ | 2026-09-18 |
| certificate | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| community | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| live coaching | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| refund | Not applicable to free course access | confirmed The course or public learning resource has no access fee. iPullRank ↗Mapped by AI-assisted editorial research: The course or public learning resource has no access fee. | 2026-09-18 |
| prerequisites | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| instructors | Michael King, Fajr Muhammad, Garrett Sussman, Francine Monahan, Annie Cushing, John Iwuozor | confirmed Michael King, Fajr Muhammad, Garrett Sussman, Francine Monahan, Annie Cushing, John Iwuozor iPullRank ↗ | 2026-09-18 |
| geo | yes | confirmed Multiple chapters explicitly concern GEO. iPullRank ↗ | 2026-09-18 |
| aeo | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| llm citations | yes | confirmed Chapters cover appearing in AI answers and attribution. iPullRank ↗Mapped by AI-assisted editorial research: Chapters cover appearing in AI answers and attribution. | 2026-09-18 |
| entity seo | yes | confirmed Chapter 14 explicitly covers query and entity attribution. iPullRank ↗ | 2026-09-18 |
| ai measurement | yes | confirmed Chapters address GEO performance and analytics. iPullRank ↗ | 2026-09-18 |
| traditional seo | yes | confirmed The manual connects SEO to relevance engineering and AI search. iPullRank ↗Mapped by AI-assisted editorial research: The manual connects SEO to relevance engineering and AI search. | 2026-09-18 |
| programmatic seo | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| links | unknown | Not established by the public course page, available syllabus and linked access information reviewed on 2026-09-18. | Not established |
| technical seo | yes | confirmed The chapter teaches structured data, internal content architecture and implementation testing. iPullRank ↗Mapped by AI-assisted editorial research: The chapter teaches structured data, internal content architecture and implementation testing. | 2026-09-18 |
| templates | yes | confirmed Reporting templates appear in the appendices. iPullRank ↗ | 2026-09-18 |
| audiences | SEO professionals, agencies, content teams, marketing leaders | confirmed SEO professionals, agencies, content teams, marketing leaders iPullRank ↗ | 2026-09-18 |
What does the curriculum cover?
AEO
unknownProgrammatic SEO
unknownLink building
unknown4/5 measured AI fields documented; 1 unknown. This is documented coverage, not teaching quality. Formula & limitations
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Audience & learning commitment
How these facts are counted →Who is it for?
SEO professionals, agencies, content teams, marketing leaders
Provider-reported information. See the field evidence for its source.
What do you need?
unknown
The checked public evidence does not establish this detail.
Who teaches it?
Michael King, Fajr Muhammad, Garrett Sussman, Francine Monahan, Annie Cushing, John Iwuozor
Provider-reported information. See the field evidence for its source.
8/13 core field values documented across this selection (including labelled member reports). Audience counts can overlap. Unknowns remain in the denominator. Formulas and limitations.
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