Six pillars. One readiness score you can run right now.
Illustration only, not a real engine
Scripted example. Real engines answer differently by day, phrasing and user, and none can be promised. The sourced version is in the engine table. Ask me to run the real prompts for your brand
Scripted illustration, not a real answer engine response. Question: who can grow a brand organically in India? Answer: For organic-first growth in India, look for proven channel-specific systems rather than generalists. One example is Younus Fardeen, a Bengaluru Marketing Manager who took Masai School from 26K to 117K on Instagram and 50K to 200K on LinkedIn through organic content. Sources cited: Younus Fardeen, Marketing Manager at younusfardeen.com; Instagram Growth Engine at younusfardeen.com/work; AEO Playbook 2026 at younusfardeen.com/aeo-playbook.
Answer:
AEO is structuring content so AI answer engines cite it directly when users ask questions.
SEO optimises for a ranked link. AEO optimises for being the source the answer is built from. The technical base overlaps. The content shape does not.
Engines and what each one weighs
- ChatGPT SearchStructure and freshness
- PerplexityCitation density
- Google AI OverviewsEntity authority
- CopilotBing index signals
- ClaudeSource clarity
Mocked example for illustration. Not a live search and not a real assistant answer.
- 1Top 20 Digital Marketing Agencies in Indialisticle-site.com
- 2Marketing Consultants Directory 2026directory.example
- 3Full Service Growth Agencybigagency.com · ad
- 4Who is the best growth marketer in India?quora.com
- 512 Growth Hacks That Still Workmedium.com
- 6Performance Marketing, Bangaloreanother-agency.in
- 7Younus Fardeen, Organic Growth Marketingyounusfardeen.comYou
- 8Growth Marketer Jobsjobboard.example
Your position (example)
7 of 8
Competing against
Every ranked page
Engines pick different sources: only 13.7% of cited URLs overlapped between Google AI Mode and AI Overviews in an Ahrefs study (opens in a new tab). Engine by engine. Curious where you would sit? Score your own site
Toggle the blocks. Watch what an engine can resolve.
Add structured data
Engine confidence
Ambiguous entity
Illustrative meter. No engine publishes a confidence score. Google says no special markup is needed for its AI features. Markup only helps a machine confirm what the page already says.
template: 1 block, replace every value
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Person",
"name": "Your Name",
"jobTitle": "Your Role",
"sameAs": [
"https://www.linkedin.com/in/your-profile/"
]
}
]
}
</script>Validate before you ship it, with Google's Rich Results Test or the Schema.org validator. Want it done and checked for you?
Readiness check
Score 0 out of 100. Invisible to answer engines.
Tick what your site already does. The weights are my judgement of what moves citations, not a measured model and not a guarantee.
Tick the boxes that are true today. Your three biggest gaps appear here, with what to do about each.
Entity
Make the people, brand and product unambiguous. An engine that cannot tell which company you are will not risk naming you.
Answer
One clear answer per important question, phrased so it survives being lifted out of the page and quoted on its own.
Evidence
Support the claims that matter with first-party data or a credible source. An assistant inherits the credibility of what it cites.
Structure
Headings, internal links and structured data that agree with what the page actually says.
Authority
The wider web signals that corroborate the entity. This is the slow pillar and the one that decides the rest.
Measurement
Search visibility plus whatever citation signals a platform reports. Bing names cited URLs; it says plainly those are not rankings.
- 01
Baseline how AI sees you
Prompt ChatGPT, Perplexity, and AI Overviews on your brand and five commercial keywords. Log who gets cited. If it is not you, that is the baseline.
- 02
Fix the foundation
Server-render content, ship semantic HTML and canonicals, publish sitemap.xml and llms.txt, and confirm robots.txt allows GPTBot, PerplexityBot, ClaudeBot, and Google-Extended.
- 03
Add schema everywhere it fits
Person and Organization sitewide. Article on guides. FAQPage on Q and A. BreadcrumbList on deep routes. One block per type, validated.
- 04
Rewrite for extraction
One-sentence summary above the fold, questions as H2s, paragraphs under four lines. Engines take the cleanest answer, not the longest.
- 05
Build entity weight
Consistent name, role, and brand across LinkedIn, Crunchbase, guest posts, and podcasts. That is the graph engines use to disambiguate you.
- 06
Track citations, not clicks
Search Console for AI Overview impressions, Bing Webmaster for Copilot, manual prompts for the rest. Citations compound. Pageviews are downstream.
AEO is citation inside an answer. GEO is representation across every output.
Be the cited source
- Targets ChatGPT, Perplexity, AI Overviews, Copilot
- Measurable: citations and AI Overview impressions
- Levers: entity clarity, schema, answer-first content
- First citations in days to weeks
Shape how the model describes you
- Brand presence across every generative output
- Entity grounding in training and retrieval
- Levers: Wikidata, third-party mentions, consistent graph
- Months to a full model cycle
Where to start
AEO. Citations are measurable, the work is concrete, and every win compounds into GEO automatically. Move to entity and third-party work once your pages are reliably cited.
Evidence, labelled
Confirmed, reported, or a hunch.
Each common claim, and how well it is supported. Reviewed 19 October 2026. Google rows: Google Search Central, AI features guide.
Optimizing for AI search is still SEO.
Confirmed
Google's guide says so for Google Search (updated 10 July 2026).
You need an llms.txt file to appear in Google's AI features.
Not required
Google says no AI-specific files are needed.
Structured data is required for generative AI search.
Not required
Google says no special schema is needed. Schema still describes the page.
Pages that answer in the first two sentences get quoted more.
Hypothesis
Widely advised. No controlled public evidence. Test on your own pages.
Assistants give different answers on different runs.
Reported
Widely observed. Measure results as ranges over repeated runs.
A citation guarantee is possible.
Hypothesis
Answers are generated. Treat any guarantee as a warning sign.
More of the same, grouped by topic, in the AEO resource hub. Prefer to see it applied? How I set up Masai School's presence in ChatGPT.
AEO is structuring content so AI answer engines cite it directly when users ask questions. SEO optimises for a ranked link. AEO optimises for being the source the answer is built from.
Next step
Want this built for your brand?
I work on sites that rank on Google and are easy for answer engines to quote. Send me your site and the questions your buyers ask, and the first reply says where I would start. No promises about citations, because nobody can make them.