Be the answer ChatGPT, Gemini, and AI Overviews give
AEO, also called generative engine optimization, is the practice of making a business the source AI assistants cite. Digital Door Agency structures answer-first content, entity data, and schema so ChatGPT Search, Google AI Overviews, Perplexity, Gemini, and Copilot can retrieve and recommend you confidently.
- Starting investment
- From ₹50,000 per month
- Typical timeline
- First citations typically appear in 4 to 10 weeks. Entity consistency compounds from month 3.
- Built for
- SaaS, AI startups, Healthcare, Professional services
Who this is for
- Businesses whose buyers now research inside ChatGPT and Gemini
- Categories where AI Overviews already absorb the clicks
- Founders who want to own a definition, not just a keyword
- Companies with real expertise and no structured way to expose it
- Businesses with no differentiated point of view to publish
- Anyone expecting AI visibility without content
What you get
- 01AI visibility baseline across ChatGPT, Gemini, Perplexity, and AI Overviews
- 02Prompt-level research: the actual questions buyers ask assistants
- 03Answer-first content architecture, 60-word answer blocks per page
- 04Entity engineering: Organization, Person, Service, and sameAs graph
- 05Schema build-out including FAQPage, QAPage, HowTo, and Speakable
- 06llms.txt and machine-readable business summary
- 07Definition, comparison, alternatives, and pricing pages built to be quoted
- 08Off-site citation plan across Reddit, Quora, YouTube, and directories
- 09AI referral tracking in analytics as a first-class channel
How the work runs
- 01
Baseline
Test how each assistant currently answers your money questions.
Week 1 - 02
Entity work
Make the company, founder, and services machine-resolvable.
Week 1 to 3 - 03
Answer architecture
Rebuild key pages around extractable answers, tables, and lists.
Week 2 to 6 - 04
Citation building
Earn mentions on the sources LLMs actually pull from.
Ongoing - 05
Measure
Track assistant citations and AI referral traffic monthly.
Monthly
Common mistakes
- Burying the answer under 400 words of narrative
- Different company descriptions on the site, LinkedIn, and GBP
- No pricing information anywhere, so assistants recommend competitors who publish it
- Marketing claims with no numbers or sources to cite
- Ignoring Reddit, Quora, and YouTube, where assistants find opinions
Our checklist
- First 60 words of every page answer the query outright
- One canonical company description used everywhere, byte for byte
- Price bands, timelines, and process published as tables
- Founder exists as a Person entity with consistent sameAs links
- FAQ and QAPage schema on every commercial page
- llms.txt published and current
- Original statistics you own and others can cite
AEO / AI Search Optimization FAQs
What is AEO?
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Answer engine optimization is the practice of structuring a site so AI assistants and answer engines can retrieve, trust, and cite it as the answer to a user's question.
How is AEO different from SEO?
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SEO competes for a ranked list of links. AEO competes to be the sentence inside the generated answer. They share technical foundations but differ in content structure and off-site citation strategy.
What is GEO?
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Generative engine optimization is another name for the same discipline, focused on generative assistants like ChatGPT, Gemini, Claude, and Perplexity.
How do I get cited by ChatGPT?
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Be consistently described across the sources it retrieves, publish answer-first pages with extractable facts, and earn mentions on high-trust third-party sites.
Does schema markup help AI search?
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Yes. Schema removes ambiguity about what your business is, who runs it, what you sell, and at what price, which is exactly what a retrieval system needs.
Is llms.txt worth publishing?
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It is cheap, machine-readable, and already respected by several crawlers. We publish and maintain it as part of the engagement.
How do you measure AI visibility?
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Repeatable prompt tests across assistants, brand-mention tracking, and referral traffic from chatgpt.com, perplexity.ai, gemini.google.com, and copilot.microsoft.com.