AI SEO covers AEO, GEO and LLMO - three related disciplines that decide whether an AI engine understands, trusts and cites your business when someone asks it a question.
Further reading: What Is AI SEO (GEO) and Why Your Website Needs It Now
Millions of people now ask ChatGPT, Perplexity, Google's AI Overviews or Gemini a question instead of typing it into a search box. These tools don't return ten blue links - they read across multiple sources, synthesise one answer, and decide who gets credited for it. AI SEO (an umbrella that covers GEO, AEO and LLMO) is how you become the source they pick, instead of one of the pages they skimmed and ignored.
AI referral traffic, visits arriving from ChatGPT, Perplexity, Gemini and similar tools, is still a small share of total web traffic, but it's growing fast, with referral traffic from ChatGPT to external sites reportedly up well over 200 percent year on year, and it converts at a meaningfully higher rate than average organic search traffic once it arrives. A site that's invisible to these engines isn't just missing a nice-to-have channel, it's missing a channel that's growing while traditional organic search's overall share of total web traffic has reportedly started shrinking.
The concentration effect makes this more urgent, not less. Most AI engine citations flow to a relatively small pool of trusted domains for any given topic, so once an AI engine settles on its trusted sources for a query, it tends to keep citing them. Getting into that trusted pool early, before it fully solidifies around your competitors, is a genuine first-mover advantage, not just an optimisation nicety.
You rank on Google but have never once been cited when someone asks ChatGPT or Perplexity a question in your category.
You've never added schema markup to your site and aren't sure what it would even do.
Your own about page, homepage and social profiles state different numbers for the same claims.
You're not seeing a problem yet, but can see where search is heading and want to be ready before competitors catch on.
If any of these sound familiar, your Google rankings won't tell you - AI visibility has to be checked separately, on its own terms.
These terms get thrown around interchangeably online. They're not the same thing, and knowing the difference is exactly what lets us build a strategy instead of guessing.
Ranking in traditional search results - the blue links on Google and Bing. Built on keywords, backlinks, site speed and technical health.
Answer Engine Optimization - winning the single direct-answer spot inside one engine, like a featured snippet, an AI Overview, or a voice assistant's spoken reply.
Generative Engine Optimization - earning a citation inside a fully AI-generated answer, like ChatGPT or Perplexity pulling your page into a response it writes from scratch.
Large Language Model Optimization - the broader technical layer of structured data, consistent facts and crawler access that helps any LLM-based system parse your brand correctly.
In practice, these overlap constantly. We don't treat them as four separate projects - just four lenses on the same goal: being the source that gets trusted.
We'll show you exactly where you stand on a free call - no jargon, no upsell script.
Book a Free AI-Visibility CheckNot a one-time schema pass - each piece below is scoped to what your site actually needs. See how that scoping works just below.
Organization, Service, FAQPage and HowTo structured data added site-wide, including the FAQPage schema powering the questions further down this page.
Key pages rewritten so the direct answer sits right under the heading, with supporting detail after it, not before.
Same numbers, same claims, on every page - inconsistent data is the fastest way to lose AI trust.
robots.txt and llms.txt configured to allow, not accidentally block, AI crawlers like GPTBot, PerplexityBot and Google-Extended.
Time-sensitive pages updated on a real schedule - AI Overviews consistently favour recently updated sources over stale ones.
Your own numbers and point of view presented as the original source, not a repeat of what's already online.
Separate playbooks for Google AI Overviews, ChatGPT and Perplexity, since each one weighs these signals differently.
AI referral traffic and manual citation checks tracked monthly, alongside your regular SEO numbers.
These describe the depth of work at each stage, not a price - we quote after understanding your actual goals and current state.
Manually testing your target queries across ChatGPT, Perplexity, Gemini and Google AI Overviews to establish exactly where you do and don't appear.
Checking robots.txt and llms.txt so crawlers like GPTBot, PerplexityBot and Google-Extended aren't accidentally blocked from reading your site.
Organization, Service, FAQPage and HowTo schema added site-wide, giving an AI engine a machine-readable summary instead of forcing it to guess.
A direct, citable answer near the top of each section with supporting depth underneath, since that's the format AI engines extract most reliably.
The same numbers and claims repeated identically across every page, since inconsistent data is one of the fastest ways to lose an AI engine's trust.
Brand mentions, reviews and digital PR built in parallel, since AI engines build their picture of a brand from the whole web, not just its own pages.
AI referral traffic and manual query re-tests tracked monthly, tuning separately for Google AI Overviews, ChatGPT and Perplexity.
Schema, crawler access and answer-first rewrites can go live within the first couple of weeks, but AI engines don't recrawl and re-evaluate sources on a fixed public schedule the way Google Search does, so visibility can lag technical readiness by weeks.
Watch AI referral traffic in your analytics and manual query testing for early signs your brand is starting to surface.
Typical for consistent citation across multiple AI engines, since it depends on your content genuinely being the clearest, most trustworthy answer available, not just correctly tagged.
We report AI referral traffic and manual citation checks alongside your regular SEO numbers every month, since this is still a newer, less measurable channel than traditional search and we won't pretend otherwise.
Most "AI SEO" advice stops at your own pages. But AI engines build their picture of you from the whole web, not just what you say about yourself - so the off-site layer carries real weight too.
How often, and how positively, your brand gets talked about elsewhere - a signal that tends to matter to AI engines even more than traditional backlinks.
Google Business Profile, industry directories and review sites feed directly into how confidently an AI engine describes your business.
Press coverage, expert quotes and being referenced by other credible sites build the third-party trust an AI engine can't get from your own copy.
The same brand name, description and facts across LinkedIn, business listings and your own site, so AI systems build one clear picture of who you are.
This is exactly why we pair AI SEO with real off-page work, not just on-site tags - see our Off-Page SEO service for how we build that layer.
Ask us the hard questions on a free call - we'll tell you honestly what's realistic for your site.
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We test how your brand currently shows up across ChatGPT, Perplexity, Gemini and Google AI Overviews, and note exactly where you're missing.
Schema markup added across your site so AI engines can parse your entity and offerings with certainty, not guesswork.
Key pages restructured with direct, citable answers near the top, built around the real questions your customers ask.
AI referral traffic and citation checks tracked monthly, with separate tuning per platform, reported in plain language.
Straight answers, including the ones that don't sound like a sales pitch.
AI SEO, also called Generative Engine Optimization (GEO), is the practice of structuring your website so AI-powered tools like ChatGPT, Perplexity, Gemini and Google AI Overviews can understand, trust and cite your content when they answer a user's question.
Answer Engine Optimization (AEO) is about winning the direct-answer spot inside a single engine, like a Google featured snippet, an AI Overview, or a voice assistant reply. GEO is broader - it's about earning a citation inside a fully generated answer from a conversational AI tool like ChatGPT or Perplexity, which may pull from several sources at once. In practice the two overlap heavily and we optimise for both together.
Traditional SEO competes for a ranking position in a list of links. AI SEO competes to be the single source an AI engine quotes directly in its answer - which depends more on structured data, clear factual claims and trust signals than on keyword placement.
It's worth having, but treat it as a nice-to-have, not a magic switch. An llms.txt file is a plain-text guide that tells AI crawlers which pages matter most on your site, similar in spirit to a sitemap. It's currently a community convention, not an official standard, and no major AI provider has publicly committed to reading it on a fixed schedule - so we set it up as part of a complete technical foundation, not as a standalone fix.
No, and we won't tell you it does. Schema markup helps an AI engine understand who you are and what you offer with certainty instead of guesswork, which makes citation more likely. But the actual decision to cite you still comes down to whether your content is the clearest, most trustworthy answer to the question being asked.
Direct citation tracking is still limited compared to Google Search Console, but we monitor referral traffic from AI platforms, manually test your target queries across major AI engines, and track whether your brand and facts appear consistently in their answers.
Structured data and technical fixes can go live within the first couple of weeks. Getting consistently cited takes longer, usually 2-4 months, since it depends on your content genuinely being the clearest answer available, not just correctly tagged. We share realistic timelines on your free AI-visibility check rather than a generic promise.
Not in the foreseeable future. Traditional search still handles a huge share of queries, especially transactional and local ones like "plumber near me". AI answer tools are growing fast for research and comparison-style questions, which is exactly why we build for both instead of picking one.
Yes. Each one weighs signals differently. Google AI Overviews lean on your existing search rankings and freshness. Perplexity favours clearly sourced, citation-style content. ChatGPT search leans more on broad topical authority. We test and tune for each platform separately instead of using one generic approach everywhere.
Yes, and it's one of the most overlooked parts of AI SEO. AI engines build their picture of a brand from mentions across the whole web, not just the brand's own pages, so press coverage, reviews and consistent listings elsewhere genuinely move the needle. This is why we pair AI SEO with our regular off-page work rather than treating them as separate services.
Full-funnel SEO covering on-page, off-page, technical and AI/GEO optimisation for businesses across Delhi, Gurgaon, Noida and India.
Learn more →Title tags, content structure, internal linking, schema markup and Core Web Vitals - on-page SEO that turns pages into ranking, converting assets.
Learn more →SEO content written for search intent and E-E-A-T - blog posts, landing pages and product copy that rank and actually get read.
Learn more →We'll run a free AI-visibility check across ChatGPT, Perplexity, Gemini and Google AI Overviews - and tell you honestly what's realistic before you spend a rupee.