AI SEO

Create the AI SEO Expert (fundamentals)

Load sources to the whiteboard

• Guides, threads and videos from creators who have already demonstrated results in AI SEO / AEO (Answer Engine Optimization).

Set up the "AI SEO Expert" chat

• Paste all that material and ask for the master framework.

Recommended prompts

Summarize the content

Create the ultimate framework for AI SEO (Answer Engine Optimization) in 2025. Focus on discoverability, understandability, and verifiability.

What we're looking for: a clear 3-pillar framework

• Discoverability: that they find you (crawl, index, sitemap, links, performance).
• Understandability: that they understand you (entities, schema, clear titles/Q&As).
• Verifiability: that they cite you (unique data, sources, authorship, update date).

Analyze what each answer engine demands

Load sources

• Notes and resources on how ChatGPT, Gemini, Claude and Grok respond (styles, when they cite, how they use the web).

"Engine Landscape" chat

• Objective: map differences by engine (preference for brief definitions, tables, FAQs, steps, external sources, etc.).

Prompts

Compare how ChatGPT, Gemini, Claude, and Grok select and present sources. Extract common patterns that increase citation likelihood.

List the answer formats most likely to be quoted (definitions, how-to steps, tables, glossaries, checklists).

Define who we are (Our Brand)

Load our own information

• Website
• Key pages (About, Product, Pricing)
• Social media
• Blog
• Our own studies/data
• Documents
• Voice notes with brand tone

"Our Brand" chat

• Let it learn value proposition, verifiable claims, prohibited/allowed messages, tone and vocabulary.

Prompts

Summarize the content

Make a full analysis of (company). Focus on value prop, claims we can prove, tone, and the exact vocabulary we use.

LLM-Friendly Content Blueprint

Types of pieces that LLMs love to cite

• Answer Packs: short and precise definitions (what it is, why it matters, TL;DR).
• How-to / Step-by-step: numbered steps.
• Comparison tables: clear, scannable.
• FAQs: one direct answer per question (+ FAQPage schema).
• Term glossaries: well-defined entities + ItemList.
• Case studies: with original data (metrics, method, date).
• Cheat sheets / checklists.

Editorial specifications

• Unambiguous H1, first paragraph answers the question in 1–3 lines.
• H2/H3 subtitles reflect intents (real questions).
• One idea per section, no filler.
• Sources and last update date.
• Author with credentials (EEAT) + solid "About" page.

Prompt

From (@AI SEO Expert + @Engine Landscape), generate a library of LLM-friendly content specs (answer packs, FAQs, tables, how-tos) for our topics.

Entity SEO and structured data

Entity map

• What is your entity (company/product/person)?
• What others does it relate to?
• "About/Organization" page with Organization schema and sameAs (site, LinkedIn, X, Crunchbase/Wikidata if applicable).

Key schema

• Organization
• Product
• FAQPage
• HowTo
• Article
• BreadcrumbList
• ItemList
• Review/Rating (if applicable)

Technical checklist

• Updated sitemap
• Correct canonicals
• Optimized performance
• Correct robots.txt
• Hreflang (if applicable)
• No thin duplicates
• Update logs ("Last updated")

Prompt

Generate an entity map and JSON-LD schema plan for (@Our Brand), including sameAs, key properties, and recommended supporting pages.

Strategy & Campaign Plan (90 days)

Inputs we combine

• @AI SEO Expert
• @Engine Landscape
• @Our Brand

Expected output

• Topic clusters prioritized by question-type intent.
• For each cluster:
  • 1 pillar (main LLM-friendly guide)
  • 3–7 answer packs / FAQs / satellite tables
  • 1 case study with our own data (if possible)
  • 1 cheat sheet or checklist
• Editorial calendar (weekly), responsible parties, SLA, metrics.

Prompt

Create a 90-day AI SEO plan for (@Our Brand) to rank as a cited source in ChatGPT, Gemini, Claude, and Grok. Include topic clusters, page types (answer packs, FAQs, tables, how-tos), schema per page, editorial specs, and weekly publishing cadence.

Page production (ready to publish)

Ready templates

• Answer Pack (600–900 words): definition + why + quick steps + brief table + sources.
• How-to (700–1200): objective → requirements → steps → common errors → CTA.
• FAQ: 6–12 questions, one paragraph answer each.
• Comparison table: fixed criteria, short cells, conclusions.
• Case study: context → method → results → learnings.

QA before publishing

• Does it answer in the first 3 lines?
• Does it have a credible date and author?
• Are there sources/citations?
• Is the schema valid (Rich Results Test)?
• Does it load fast and is mobile readable?

Prompt de creación

Draft an LLM-friendly Answer Pack on (topic) using (@Our Brand + @AI SEO Expert). Include a crisp definition, step-by-step guidance, a small comparison table, sources, last-updated date, and JSON-LD suggestions.

Measurement & Iteration (what isn't measured, doesn't grow)

"LLM Radar" dashboard (bi-weekly)

• Target queries in each engine → does it cite your site? what fragment? what format won?
• Record of non-citations and hypotheses (missing source, missing table, ambiguous title, etc.).

Continuous improvements

• Update date
• Add our own data
• Strengthen schema
• Polish H1/H2 and FAQs

Prompt de auditoría

Audit these 10 pages for AI SEO readiness and produce a prioritized fix list (content, structure, schema, authority).

Distribution and authority signals

• Publish summaries on LinkedIn/X with link to the piece (and embedded table/cheat sheet).
• Get contextual links from relevant sites and official profiles.
• Upload datasets, screenshots, micro-studies (original data = high citability).