AEO & GEO skill 04 of 13
Answer-Ready Content for AI Search SKILL.md
The Answer-Ready Content skill makes Claude, Codex or another AI agent rewrite pages so AI answer engines can use them and credit them. It compares your page with the sources engines already cite, replaces commodity sections with first-hand evidence, adds direct answer passages, sourced statistics, expert quotes, comparison tables and original data, and ignores the myths that waste time.
answer-ready-content/SKILL.md, version 1.0.0, 1,293 words.
By Afeez Adebayo, Marketing, SEO & Growth Expert with 10+ years of experience.
Created 10 October 2026. Updated 10 October 2026. Free to use under CC BY 4.0.
When an AI engine builds an answer, it retrieves passages and decides which ones to use and credit. Pages that get cited tend to say something specific and checkable, in a passage that makes sense on its own, from a source the engine has reason to trust. Pages that restate common knowledge give the engine nothing it couldn't write itself.
This skill audits and rewrites pages so they are worth citing: original, specific, well organised and accurate, without the myths that waste time.
What the evidence says
| Finding | Source | Label |
|---|---|---|
| Unique, non-commodity content with first-hand experience matters most for Google's AI features | Google Search Central guide to generative AI features, 2026 | Confirmed |
| Chunking content or rewriting it just for AI isn't required; there's no ideal page length | Same guide | Confirmed |
| Structured data isn't required for AI features and there's no special markup | Same guide | Confirmed |
| Adding citations, quotations and statistics raised visibility in generative answers by up to about 40% on a research benchmark | Aggarwal et al., GEO, KDD 2024 | Research finding, not tested on live engines |
| Clear, self-contained sections are easier for retrieval systems to use | Practitioner studies | Consensus |
Operating principles
- Non-commodity first. Google contrasts "7 Tips for First-Time Homebuyers" with a first-hand account of waiving an inspection; the second is the kind of content AI systems value. [Confirmed] Bring data, cases, tests and opinions only you can provide.
- Answer, then expand. Put the direct answer under the heading that asks the question, then give the detail.
- Make facts checkable. Every figure has a source and date; every claim can be traced.
- Write for people. Organisation that helps readers (headings, short paragraphs, tables, images) also helps retrieval. Don't write strangely "for the AI".
- Keep it current. Engines value fresh information for time-sensitive topics; dated facts get you cited wrongly.
When to use, and when not to
Use it for pages that rank but aren't cited, pages that matter for buyer questions, comparison and pricing pages, definitions in your field, and before publishing new guides.
Don't use it to fix access or rendering (use ai-crawler-access), to plan which questions to answer (use query-fan-out-mapping) or for classic on-page SEO alone (use the Content SEO skills).
Inputs to ask for, in one message
- The pages and the prompts or sub-queries they should answer.
- Which sources AI engines currently cite for those prompts.
- First-hand material: data, screenshots, case results, expert notes, test results.
- Brand voice and the facts that must be accurate (prices, features, regulation).
Raw SKILL.md file
This is the exact file agents read, including the credit header and licence notice. Save it as answer-ready-content/SKILL.md.
---
name: answer-ready-content
description: "Rewrite pages so AI answer engines can use and credit them: non-commodity content with first-hand evidence, direct answer passages under question headings, sourced statistics and expert quotes, comparison tables, original data, explicit brand and author attribution and current facts, while ignoring myths such as chunking, special markup and writing for robots. Use whenever someone asks how to get cited by ChatGPT, Perplexity or AI Overviews, how to write for AI search, what GEO content looks like, why a ranking page isn't cited, or how to make content more citable."
license: CC-BY-4.0
metadata:
author: Afeez Adebayo
author_url: https://afeezadebayo.com
author_linkedin: https://www.linkedin.com/in/afeez-adebayo/
author_x: https://x.com/za_icon
source: https://afeezadebayo.com/skills-md/marketing/aeo-geo/answer-ready-content/
category: marketing
subcategory: aeo-geo
version: "1.0.0"
created: "2026-10-10"
updated: "2026-10-10"
---
# Answer-Ready Content for AI Search
When an AI engine builds an answer, it retrieves passages and decides which ones to use and credit. Pages that get cited tend to say something specific and checkable, in a passage that makes sense on its own, from a source the engine has reason to trust. Pages that restate common knowledge give the engine nothing it couldn't write itself.
This skill audits and rewrites pages so they are worth citing: original, specific, well organised and accurate, without the myths that waste time.
## What the evidence says
| Finding | Source | Label |
|---|---|---|
| Unique, non-commodity content with first-hand experience matters most for Google's AI features | Google Search Central guide to generative AI features, 2026 | Confirmed |
| Chunking content or rewriting it just for AI isn't required; there's no ideal page length | Same guide | Confirmed |
| Structured data isn't required for AI features and there's no special markup | Same guide | Confirmed |
| Adding citations, quotations and statistics raised visibility in generative answers by up to about 40% on a research benchmark | Aggarwal et al., GEO, KDD 2024 | Research finding, not tested on live engines |
| Clear, self-contained sections are easier for retrieval systems to use | Practitioner studies | Consensus |
## Operating principles
1. **Non-commodity first.** Google contrasts "7 Tips for First-Time Homebuyers" with a first-hand account of waiving an inspection; the second is the kind of content AI systems value. [Confirmed] Bring data, cases, tests and opinions only you can provide.
2. **Answer, then expand.** Put the direct answer under the heading that asks the question, then give the detail.
3. **Make facts checkable.** Every figure has a source and date; every claim can be traced.
4. **Write for people.** Organisation that helps readers (headings, short paragraphs, tables, images) also helps retrieval. Don't write strangely "for the AI".
5. **Keep it current.** Engines value fresh information for time-sensitive topics; dated facts get you cited wrongly.
## When to use, and when not to
Use it for pages that rank but aren't cited, pages that matter for buyer questions, comparison and pricing pages, definitions in your field, and before publishing new guides.
Don't use it to fix access or rendering (use `ai-crawler-access`), to plan which questions to answer (use `query-fan-out-mapping`) or for classic on-page SEO alone (use the Content SEO skills).
## Inputs to ask for, in one message
1. The pages and the prompts or sub-queries they should answer.
2. Which sources AI engines currently cite for those prompts.
3. First-hand material: data, screenshots, case results, expert notes, test results.
4. Brand voice and the facts that must be accurate (prices, features, regulation).
## Workflow
### Step 1. Compare with what gets cited
Read the pages engines cite for your prompts. Note what they offer: a clear definition, a table, original data, a named expert, a recent date.
### Step 2. Find the commodity sections
Mark every section that only restates common knowledge. Either replace it with something original or cut it.
### Step 3. Add answer passages
Under each question-style heading, write a 40 to 80 word direct answer that stands alone: it names the subject, gives the answer and one supporting fact. Then expand.
### Step 4. Add evidence
- Statistics with source, sample and date.
- Short quotes from named experts with roles.
- Original data: surveys, usage data, test results, benchmarks.
- Worked examples and screenshots with capture dates.
### Step 5. Structure for scanning
Descriptive headings, comparison tables in HTML, step lists for processes, definitions near the top. Keep key facts in text, not only in images.
### Step 6. Make the entity explicit
Name the brand, product and author in context ("In our 2026 survey of 400 finance teams..."), so passages carry attribution when lifted.
### Step 7. Check accuracy and freshness
Verify every fact. Add "last updated" with real changes. Remove contradictory older pages or redirect them.
## Passage patterns that work
| Pattern | Example |
|---|---|
| Definition | "Payroll compliance is ... It covers ... In the UK, employers must ..." |
| Direct comparison | A table of options with price, best for, limits, source date |
| Quantified claim | "In our analysis of 1,200 invoices (January to June 2026), the median payment delay was 23 days." |
| Step answer | Numbered steps with the outcome of each |
| Expert view | "'We stopped using X because...' says [name], [role] at [company]." |
## Original data: the most valuable asset
Surveys, anonymised product data, price indexes and benchmark tests are cited by journalists, communities and AI answers alike. Plan one substantial dataset per quarter, publish the method, and update it on a schedule.
## Worked example
A cybersecurity vendor's "what is phishing-resistant MFA" guide ranked fifth but was never cited. Cited competitors had a crisp definition, a comparison table of methods and recent attack data. The rewrite added a 60-word definition under the first heading, a table comparing passkeys, FIDO2 keys, push and SMS with phishing resistance and cost, results from the vendor's own phishing simulation of 3,000 employees (with method), and a quote from its head of research. Within two months the page was cited in Perplexity and AI Overviews for definition and comparison prompts.
## Output format
```
# Answer-readiness review: <URL>, <date>
## Prompts and sub-queries the page should answer
## Cited competitors and what they offer
## Findings
| Section | Issue (commodity, no answer, no evidence, outdated) | Fix |
## Rewritten answer passages
## Evidence to add (owner)
## Re-check date
```
## Edge cases and judgement calls
| Situation | What to do |
|---|---|
| No original data available | Use first-hand experience: worked examples, tests, screenshots, decisions and their outcomes |
| Commodity topic everyone covers | Find the angle only you have: your market, customers, numbers or method |
| Product pages | Make facts explicit: prices, limits, compatibility, policies, in text and tables |
| Pages that must stay short | One strong answer passage and one table beat padding |
| Engines cite an outdated version of your page | Update the facts, add a dated change note and check for duplicates still indexed |
| Competitor page is cited for your brand facts | Publish a clear, current fact page and link it from your About and product pages |
## Answer passage checklist
- Starts by naming the subject.
- Gives the answer in the first sentence.
- Adds one fact, number or condition that makes it specific.
- Makes sense if read alone, without the rest of the page.
- Stays under about 80 words; detail follows below.
## Handoffs to related skills
- Choosing the questions: `query-fan-out-mapping`
- Checking Google citations: `ai-overviews-ai-mode`
- Brand attribution: `entity-optimisation`
- Getting original data covered: `ai-citation-earning`
- Writing quality and trust: the Content SEO `seo-content-writing` and `eeat-content-quality` skills
## Quality bar: what an excellent rewrite includes
- An original element in every key section.
- Direct answers under question headings.
- Every figure sourced and dated.
- No myths sold as tactics.
## Common mistakes
- Splitting pages into tiny fragments because someone said AI likes chunks.
- Adding FAQ blocks of generic questions nobody asks.
- Statistics with no source or date.
- Burying the answer under background.
- Publishing AI-written summaries of other people's content.
## Questions to ask before you rewrite
- What can this business say that nobody else can?
- Which facts must never be wrong in an AI answer?
- Who can supply data and expert input?
## Self-check before you answer
- Does each key section contain an original element or a clear answer?
- Is every figure sourced and dated?
- Did I avoid myths (chunking, special markup, llms.txt) as ranking levers?
- Would a reader find the page satisfying without AI in mind?
## Official documentation and research
- Google: generative AI features in Search, site owner guide: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
- Creating helpful, reliable, people-first content: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Guidance on using generative AI content: https://developers.google.com/search/docs/fundamentals/using-gen-ai-content
- GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024): https://arxiv.org/abs/2311.09735
---
Created by Afeez Adebayo, Marketing, SEO & Growth Expert
Website: https://afeezadebayo.com
LinkedIn: https://www.linkedin.com/in/afeez-adebayo/
X: https://x.com/za_icon
Source: https://afeezadebayo.com/skills-md/marketing/aeo-geo/answer-ready-content/
Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). You may copy, share and adapt this skill, including for commercial use, as long as you credit Afeez Adebayo and link to the source URL above. Keep this notice in any copy or adapted version.
Workflow
Step 1. Compare with what gets cited
Read the pages engines cite for your prompts. Note what they offer: a clear definition, a table, original data, a named expert, a recent date.
Step 2. Find the commodity sections
Mark every section that only restates common knowledge. Either replace it with something original or cut it.
Step 3. Add answer passages
Under each question-style heading, write a 40 to 80 word direct answer that stands alone: it names the subject, gives the answer and one supporting fact. Then expand.
Step 4. Add evidence
- Statistics with source, sample and date.
- Short quotes from named experts with roles.
- Original data: surveys, usage data, test results, benchmarks.
- Worked examples and screenshots with capture dates.
Step 5. Structure for scanning
Descriptive headings, comparison tables in HTML, step lists for processes, definitions near the top. Keep key facts in text, not only in images.
Step 6. Make the entity explicit
Name the brand, product and author in context ("In our 2026 survey of 400 finance teams..."), so passages carry attribution when lifted.
Step 7. Check accuracy and freshness
Verify every fact. Add "last updated" with real changes. Remove contradictory older pages or redirect them.
Passage patterns that work
| Pattern | Example |
|---|---|
| Definition | "Payroll compliance is ... It covers ... In the UK, employers must ..." |
| Direct comparison | A table of options with price, best for, limits, source date |
| Quantified claim | "In our analysis of 1,200 invoices (January to June 2026), the median payment delay was 23 days." |
| Step answer | Numbered steps with the outcome of each |
| Expert view | "'We stopped using X because...' says [name], [role] at [company]." |
Original data: the most valuable asset
Surveys, anonymised product data, price indexes and benchmark tests are cited by journalists, communities and AI answers alike. Plan one substantial dataset per quarter, publish the method, and update it on a schedule.
Worked example
A cybersecurity vendor's "what is phishing-resistant MFA" guide ranked fifth but was never cited. Cited competitors had a crisp definition, a comparison table of methods and recent attack data. The rewrite added a 60-word definition under the first heading, a table comparing passkeys, FIDO2 keys, push and SMS with phishing resistance and cost, results from the vendor's own phishing simulation of 3,000 employees (with method), and a quote from its head of research. Within two months the page was cited in Perplexity and AI Overviews for definition and comparison prompts.
Output format
# Answer-readiness review: <URL>, <date>
## Prompts and sub-queries the page should answer
## Cited competitors and what they offer
## Findings
| Section | Issue (commodity, no answer, no evidence, outdated) | Fix |
## Rewritten answer passages
## Evidence to add (owner)
## Re-check dateEdge cases and judgement calls
| Situation | What to do |
|---|---|
| No original data available | Use first-hand experience: worked examples, tests, screenshots, decisions and their outcomes |
| Commodity topic everyone covers | Find the angle only you have: your market, customers, numbers or method |
| Product pages | Make facts explicit: prices, limits, compatibility, policies, in text and tables |
| Pages that must stay short | One strong answer passage and one table beat padding |
| Engines cite an outdated version of your page | Update the facts, add a dated change note and check for duplicates still indexed |
| Competitor page is cited for your brand facts | Publish a clear, current fact page and link it from your About and product pages |
Answer passage checklist
- Starts by naming the subject.
- Gives the answer in the first sentence.
- Adds one fact, number or condition that makes it specific.
- Makes sense if read alone, without the rest of the page.
- Stays under about 80 words; detail follows below.
Handoffs to related skills
- Choosing the questions:
query-fan-out-mapping - Checking Google citations:
ai-overviews-ai-mode - Brand attribution:
entity-optimisation - Getting original data covered:
ai-citation-earning - Writing quality and trust: the Content SEO
seo-content-writingandeeat-content-qualityskills
Quality bar: what an excellent rewrite includes
- An original element in every key section.
- Direct answers under question headings.
- Every figure sourced and dated.
- No myths sold as tactics.
Common mistakes
- Splitting pages into tiny fragments because someone said AI likes chunks.
- Adding FAQ blocks of generic questions nobody asks.
- Statistics with no source or date.
- Burying the answer under background.
- Publishing AI-written summaries of other people's content.
Questions to ask before you rewrite
- What can this business say that nobody else can?
- Which facts must never be wrong in an AI answer?
- Who can supply data and expert input?
Self-check before you answer
- Does each key section contain an original element or a clear answer?
- Is every figure sourced and dated?
- Did I avoid myths (chunking, special markup, llms.txt) as ranking levers?
- Would a reader find the page satisfying without AI in mind?
Official documentation and research
- Google: generative AI features in Search, site owner guide: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
- Creating helpful, reliable, people-first content: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Guidance on using generative AI content: https://developers.google.com/search/docs/fundamentals/using-gen-ai-content
- GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024): https://arxiv.org/abs/2311.09735
On this page
- When to use this skill, and when not to
- Example prompts
- Example output
- What the agent needs from you
- How this skill hands off to related skills
- How to run the Answer-Ready Content skill step by step
- Situations this skill handles
- What makes this skill different
- Practical tips from real projects
- Frequently asked questions
- Changelog
When to use this skill, and when not to
Use it for pages that rank but aren’t cited, pages that answer buyer questions, comparison and pricing pages, definitions in your field and new guides before publishing.
Google’s own guidance says unique, non-commodity content will likely influence presence in its AI features more than anything else, and gives a clear contrast: a generic “7 tips” list versus a first-hand account only the author could write. The same guide says you don’t need to chunk content, rewrite it for AI or add special markup. This skill follows that line.
Don’t use it to fix access or rendering (use AI Crawler Access) or to decide which questions to answer (use Query Fan-Out Mapping).
Example prompts
- “This guide ranks fifth but is never cited in AI answers. Make it citable.”
- “Compare our comparison page with the pages Perplexity cites and list the gaps.”
- “Rewrite our definition section so it can be quoted on its own.”
- “Find every commodity section in this article and suggest original replacements.”
- “Plan a quarterly original-data study our customers and AI engines would cite.”
Example output
The skill returns a fixed structure. A shortened example for an imaginary site:
# Answer-readiness review: /guides/phishing-resistant-mfa/, 10 October 2026 ## Cited competitors offer A 60-word definition, a methods comparison table, 2026 attack data. ## Findings | Section | Issue | Fix | | Intro | History of MFA, no definition | 60-word definition first | | Methods | Prose only | HTML table: method, phishing resistance, cost | | Evidence | None | Results of our 3,000-employee phishing simulation, with method | | Expert view | None | Quote from head of research | ## Rewritten answer passage "Phishing-resistant MFA is ..."
Every rewrite adds something the business can say that others can’t, because restating common knowledge gives an AI engine no reason to cite you.
What the agent needs from you
The skill asks for the pages and the prompts they should answer, the sources engines currently cite for those prompts, first-hand material such as data, screenshots, case results, test results and expert notes, your brand voice and the facts that must always be accurate.
Research behind this skill
| Finding | Source | Label |
|---|---|---|
| Unique, non-commodity, people-first content matters most for Google’s AI features | Google Search Central, 2026 | Confirmed |
| Chunking, AI-only rewriting and special markup aren’t required | Google Search Central, 2026 | Confirmed |
| Citations, quotations and statistics raised generative visibility by up to about 40% on a benchmark | Aggarwal et al., GEO, KDD 2024 | Research, not live engines |
| Self-contained sections are easier for retrieval systems to use | Practitioner studies | Consensus |
How this skill hands off to related skills
Answer-ready pages depend on the rest of the set. Questions come from Query Fan-Out Mapping, Google citation checks from AI Overviews and AI Mode, entity attribution from Entity Optimisation and original data outreach from Earning Citations. For classic writing and quality, it pairs with SEO Content Writing and E-E-A-T and Content Quality.
How to run the Answer-Ready Content skill step by step
- Install the skill as
answer-ready-content/SKILL.md. - Name the pages and the prompts or sub-queries each should answer.
- Collect what engines cite now for those prompts, so the skill can compare.
- Gather first-hand material: data, screenshots, case results, test results and expert notes.
- Review the findings and rewritten answer passages, section by section.
- Publish and re-check citations in the Generative AI report, Bing AI Performance and your tracking.
Situations this skill handles
Pages fail to get cited for different reasons. The skill handles these situations:
| Situation | What the skill does |
|---|---|
| Page ranks but isn’t cited | Compares it with cited pages and adds what they offer |
| Commodity topic everyone covers | Finds the angle only the business has: data, customers, method |
| No original data | Uses first-hand experience: tests, screenshots and decisions with outcomes |
| Competitor cited for your brand facts | Publishes a clear, current fact page and links it from key pages |
| Outdated version cited | Updates facts, adds a change note and removes duplicates |
| Someone wants to chunk everything | Explains Google’s position and keeps pages organised for readers |
What makes this skill different
Most GEO advice is a list of formatting tricks: chunk your content, add FAQ blocks, write for robots. Google has said in writing that chunking and special markup aren’t required, and that unique, non-commodity content matters most for its AI features. This skill follows that evidence.
It replaces commodity sections with things only the business can say, adds direct answer passages that stand alone, sources every figure and makes the brand explicit in context, so passages carry attribution when engines lift them.
Practical tips from real projects
- Answer in the first sentence under each question heading, then expand.
- Name the subject in each answer passage so it makes sense alone.
- Source and date every figure.
- Plan one substantial dataset a quarter; original data is cited by people and engines alike.
A worked example: a cybersecurity vendor’s guide to phishing-resistant MFA ranked fifth but was never cited. Cited competitors had a crisp definition, a comparison table and recent attack data. The rewrite added a 60-word definition, a table comparing passkeys, FIDO2 keys, push and SMS, results from the vendor’s own phishing simulation of 3,000 employees with method, and a quote from its head of research. Within two months the page was cited in Perplexity and AI Overviews.
Research supports the direction: a 2023 study found that adding citations, quotations and statistics raised visibility in generative answers on its benchmark. It hasn’t been proven on live engines, which the skill says plainly, but sourced facts help readers either way.
Frequently asked questions
What is answer-ready content?
Content an AI engine can use and credit: specific, accurate, well organised and original, with direct answers under question headings, sourced facts and evidence only your business can provide.
Do I need to chunk content for AI?
No. Google says it isn’t required and there’s no ideal page length. Clear sections help readers and retrieval, but splitting pages into fragments isn’t a strategy.
Does adding statistics help AI citations?
A 2023 research paper found that adding citations, quotes and statistics raised visibility in generative answers on its benchmark. It hasn’t been proven on live engines, but sourced facts help readers either way.
What is non-commodity content?
Content that goes beyond common knowledge: first-hand experience, original data, expert judgement or a unique point of view. Google uses the term in its guide to AI features.
Should I add FAQ sections everywhere?
Only with real questions people ask. Generic FAQ blocks add length without value, and FAQ rich results are limited to a few site types.
How do I know if a page is cited?
Check Google’s Generative AI performance report, Bing AI Performance and your prompt tracking, and compare cited pages before and after the rewrite.
Changelog
- 1.0.0, 10 October 2026: first release.
Use, adapt and share this skill under CC BY 4.0: credit Afeez Adebayo and link to this page.
All AEO & GEO skills
- AI Search Visibility Audit
- AI Visibility Tracking and Reporting
- Query Fan-Out and Prompt Research
- Google AI Overviews and AI Mode
- ChatGPT Search Visibility
- Perplexity, Copilot, Claude and Gemini Visibility
- Entity Optimisation for AI Search
- Earning Citations and Mentions for AI Answers
- AI Crawler Access and Technical Readiness
- Brand Accuracy in AI Answers
- Agent Readiness for AI Browsers and Assistants
- Product Visibility in AI Shopping and Commerce
