AI SEO · GEO · AEO
AI Search Optimization
Being surfaced, quoted and cited inside AI-generated answers on ChatGPT, Perplexity, AI Overviews, Gemini and Copilot. Retrieval and citation, not just position.
Twelve years of SEO.
Now built for how search answers.
Lalit Patel - SEO Specialist · AI SEO, GEO & AEO · Mumbai
The fundamentals still decide who wins: technical SEO, topical authority, content built for real buying intent. What changed is the destination. Ranking first is no longer the same as being found, so I build for both - the ranking and the citation.
AI SEO
GEO
AEO
Technical SEO
E-E-A-T
YMYL
AI-assisted search
43%2026
of Google searches
AI Assistant
Which CRM is best for a small sales team?
For teams under 20 people, the top options balance pipeline visibility with a setup you can run without an admin.
1 yourbrand.com
2 reviewsite.com
Illustration - a customer asks, the model answers, and only some sources get named. GEO is the work of being one of them.
Projected
83%2032
directional model
12+
Years in SEO and performance marketing
12
Disciplines across the growth system
5
AI platforms optimised for
1
Metric that counts: revenue
01 Professional Profile
SEO is the base. AI search is the frontier.
Twelve years of search fundamentals, applied to a landscape that changed shape in the last two. Measured on citations and revenue, not vanity rankings.
Search is being re-mediated by AI. People increasingly ask a question and get a synthesised answer instead of browsing ten links. If a brand is not cited inside that answer, it is absent at the moment the decision gets made.
Lalit Patel has spent more than 12 years in search, working across technical SEO, content systems, conversion optimization and paid media for brands that need search to produce revenue rather than impressions. Over that time discovery moved from ten blue links, to featured snippets, to answers written by a model that may never send a click at all.
The response is not to abandon SEO but to extend it. The same crawl, authority and intent fundamentals now have to satisfy a retrieval system as well as a ranking algorithm. That extension is AI Search Optimization - AI SEO, Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO), built on top of the technical and content foundation rather than in place of it. Trust signals matter more than ever: E-E-A-T and the higher bar applied to YMYL categories now decide which sources a model is willing to name.
He also works on agentic AI and marketing workflows, making sites readable and actionable for AI agents and automating the research and reporting around them. That is supporting work, not the headline.
The click is no longer the only win. If an AI answer does not cite you, your customer never sees you.
Working principle
What gets measured
AI visibility + search
AI citationsHow often models name the brand
Share of answerPresence across a tracked prompt set
AI referral trafficSessions from ChatGPT, Perplexity, Gemini
Organic sessions & rankingsThe classic baseline, still tracked
Qualified leadsForms, calls and demos, not raw clicks
CAC & paybackWhat acquisition actually costs
Reported monthly against a baseline taken before any work starts.
Built for scaleSystems that hold up at 10,000 pages and several teams, not 10 pages.
No fluff reportingCitations, share of answer and AI referral traffic. Numbers that tie to revenue.
Senior and hands-onDirect access. Senior time on the actual work, not a handover deck.
02 The Data
What actually changed, in numbers
Published industry research, not estimates. Every figure links to its source.
68%
of US Google searches end without a click
Up from 60.45% in 2024. Only 276 of every 1,000 searches now reach the open web.
SparkToro, 2026 →
43%
of Google searches now show an AI Overview
Up from roughly 15% a year earlier. Prevalence varies by query set and industry.
Similarweb, 2026 →
~60%
drop in click-through when an AI Overview appears
Queries with an AI Overview average an 83% zero-click rate, against about 60% without one.
SparkToro, 2026 →
48%
of tracked queries carry an AI Overview
Measured February 2026, up from 31% a year earlier across the same tracked set.
BrightEdge, 2026 →
Figures differ between studies because each uses a different keyword sample and method: conservative mixed-intent panels land nearer 20-25%, informational-heavy panels nearer 48-50%. The direction is consistent across all of them, which is the part that matters for planning.
03 The Shift
Search is being re-mediated by AI
The long arc: AI-assisted discovery compounding while blue-link click-through erodes. The crossover lands mid-decade.
View the underlying figures
| Year | AI-assisted discovery | Blue-link click-through |
|---|---|---|
| 2022 | 2 | 78 |
| 2023 | 7 | 74 |
| 2024 | 17 | 67 |
| 2025 | 30 | 58 |
| 2026 | 43 | 49 |
| 2027 | 54 | 42 |
| 2028 | 63 | 36 |
| 2029 | 70 | 32 |
| 2030 | 76 | 29 |
| 2031 | 80 | 27 |
| 2032 | 83 | 26 |
04 How An Answer Is Built
The answer picks its sources. GEO is the work of being picked.
A model retrieves a handful of candidate documents, synthesises them, then names only some of them. Being retrieved and being cited are not the same thing.
05 What I Do
Search, first and foremost
The core practice is search: traditional SEO and the AI layer now sitting on top of it. Everything else is support work I can take on when a project needs it.
Primary practice
The foundation
Technical & On-Page SEO
Crawl budget, indexation, rendering, Core Web Vitals, site architecture, internal linking, canonicalisation and structured data. Twelve years of it.
Trust signals
E-E-A-T & YMYL
Experience, Expertise, Authoritativeness and Trust, applied hardest on Your Money or Your Life topics where Google and AI models hold sources to a higher bar.
Secondary - available when a project needs it
- Content Strategy
- Performance Marketing
- Google Ads & Paid Media
- Conversion Rate Optimization
- Analytics & Measurement
- AI & Agentic Workflows
06 How A Citation Is Earned
Four gates between your page and the answer
Miss any one of them and the model quotes someone else. Most sites fail at gate three.
1
Crawl
Can the crawler reach and read the page? Robots rules, rendering and speed decide this. Classic technical SEO.
2
Retrieve
Does the page surface for the query sitting behind the question the user actually asked?
3
Trust
Do entity signals, corroboration and authority make the source safe enough to quote by name?
4
Cite
Does the answer name the brand and link back, rather than absorbing the fact anonymously?
07 Core Expertise
The search stack, end to end
Where the day-to-day work actually happens, from crawl budget to citation.
- Search Engine OptimizationArchitecture and intent
- Technical SEOCrawl, index, render, speed
- AI SEO & GEOCited inside AI answers
- Answer Engine OptimizationClean extraction
- E-E-A-T SignalsExperience to trust
- YMYL CategoriesFinance, health, legal
- Structured Data & SchemaMachine-readable entities
- Entity & Brand AuthorityLegible to models
- Core Web VitalsLCP, INP, CLS
- Crawl Budget & Log AnalysisWhat bots actually fetch
- Topical AuthorityDepth over keyword count
- Search Intent MappingQuery to page fit
- Information GainAdding what is not there
- SERP FeaturesSnippets, PAA, packs
- AI Crawler Accessrobots.txt, llms.txt
- Agentic AI & WorkflowsAgent-ready sites, automation
08 Platform Coverage
Optimised across every answer surface
ChatGPTSearch + browsing
PerplexityAnswer engine
AI OverviewsGoogle SERP
GeminiGoogle assistant
CopilotMicrosoft / Bing
09 Approach
Marketing should be accountable to business results
- Fundamentals firstTechnical SEO, authority and intent still decide who wins. AI search is built on that base, not instead of it.
- Optimise for the answer as well as the rankingBeing cited by an AI assistant is a distinct discipline from ranking in a results page.
- Integrated, not siloedOrganic, AI and paid are planned as one acquisition system.
- Measured against revenueRankings and citations are diagnostics. Pipeline, CAC and revenue are the scoreboard.
“I help businesses grow by combining SEO, AI-powered search optimization and performance marketing into measurable growth systems.
Lalit Patel
10 Frequently Asked Questions
About Lalit Patel
Who is Lalit Patel?
Lalit Patel is an SEO and performance marketing specialist based in Mumbai, India, with more than 12 years of experience in search. He now focuses on AI Search Optimization - AI SEO, Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) - helping brands rank in traditional search engines and get cited inside AI-generated answers.
How many years of experience does Lalit Patel have?
Lalit Patel has over 12 years of experience in search and performance marketing at A&B Luxury Digital Agency in Mumbai, spanning the shift from traditional blue-link SEO through featured snippets to today's AI-generated answers.
What is A&B Luxury Digital Agency?
A&B Luxury Digital Agency is a Mumbai-based digital marketing agency focused on driving measurable business growth through search, AI and performance marketing. Lalit Patel is a co-founder of the agency and has spent more than 12 years in the industry there.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of optimising a brand's content and entity signals so that generative AI platforms - such as ChatGPT, Perplexity, Google AI Overviews and Gemini - surface, quote and cite that brand in the answers they produce. Unlike traditional SEO, which competes for a position in a list of links, GEO competes to be the source a model draws on when it writes an answer.
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) is the practice of structuring content so that answer engines can extract a direct, self-contained response from it. In practice this means clear question-shaped headings, definitional opening sentences, factual precision, and structured data that makes the relationships between entities explicit.
How is AI SEO different from traditional SEO?
Traditional SEO optimises for ranking position and the click that follows it. AI SEO optimises for retrieval and citation: whether a model can find your content, whether it trusts the source enough to use it, and whether it names your brand in the answer. The two are not alternatives. AI search optimization is built on the same technical and content foundation as traditional SEO, which is why 12 years of search experience underneath it matters.
What is YMYL in SEO?
YMYL stands for Your Money or Your Life. It describes topics that could affect a person's health, financial stability, safety or wellbeing, such as finance, medical, legal and insurance content. Google holds YMYL pages to a higher quality bar than ordinary content, and AI systems apply similar caution before citing a source on these subjects. In practice this means YMYL pages need verifiable authorship, clear credentials, cited sources and accurate, current information before they will rank or be quoted.
What is E-E-A-T and why does it matter for AI search?
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It is the framework Google's quality raters use to judge content quality, and it maps closely to how AI models decide which sources are safe to cite by name. Strengthening E-E-A-T means making authorship and credentials explicit, corroborating the brand as an entity across independent sources, and backing claims with evidence. It matters most on YMYL topics, where an unverified source is unlikely to be surfaced at all.
Does Lalit Patel work with Agentic AI?
Yes. Alongside search, Lalit Patel works on agentic AI and marketing workflows: making sites readable and actionable for AI agents, and automating research, production and reporting tasks. This is a supporting capability rather than the core practice, which remains SEO and AI search optimization.
Which AI platforms does Lalit Patel optimise for?
Lalit Patel optimises brands for ChatGPT, Perplexity, Google AI Overviews, Google Gemini and Microsoft Copilot, alongside traditional search engines such as Google and Bing.
Where is Lalit Patel based?
Lalit Patel is based in Mumbai, Maharashtra, India, and works with clients internationally.
How can you contact Lalit Patel?
Lalit Patel can be reached by email, on WhatsApp, or via his LinkedIn profile at linkedin.com/in/lalitpatell. Direct contact links are in the contact section of this page.
11 Biography
The short version
Lalit Patel is an SEO specialist based in Mumbai with more than 12 years in the industry. His work covers technical SEO, E-E-A-T and YMYL categories, structured data and content built for real buying intent, and now extends into AI Search Optimization - AI SEO, GEO and AEO - helping brands stay visible as discovery moves from traditional search engines to AI assistants and answer engines. He also works on agentic AI and marketing workflows. Everything is measured against business outcomes rather than vanity metrics: citations, qualified pipeline, customer acquisition cost and revenue.