Free 12 Months of SEO strategy to help your business grow – no strings attached. Claim it now ⭷
Free 12 Months of SEO strategy to help your business grow – no strings attached. Claim it now ⭷
Large language models are quietly becoming the front door to the internet. People ask ChatGPT, Claude, Gemini and Perplexity for recommendations and trust what comes back — often without ever visiting a search page. LLM SEO is the work of making sure that when these models answer questions in your space, your brand is part of the answer.
A real person checks whether ChatGPT, Claude and Gemini currently mention you, which questions you could win, and where the honest opportunities are — then sends a plain-English summary.
We’ll be honest about what’s realistic. No spam, ever.
A growing share of people now ask an AI model instead of searching — and take its answer at face value. If the models don’t know or trust your brand, you’re invisible in those conversations, no matter how well you rank on Google.
More and more buying journeys now start with a question to ChatGPT, Claude, Gemini or Perplexity — ‘what’s the best tool for X’, ‘who should I hire for Y’. If the model doesn’t mention you, you never even enter the shortlist.
When a model gives a confident answer, many people act on it without visiting a single website. That means the old game of ranking to earn a click matters less — what matters is being part of the answer itself.
When an AI names your brand as a recommendation, that carries real weight — it feels like a trusted, neutral suggestion. Getting mentioned in the right answers is becoming one of the most valuable forms of visibility there is.
Most businesses haven’t thought about how they appear in AI answers yet. That’s exactly why acting now matters: the brands that establish themselves in these models early will be hard for latecomers to displace.
LLM SEO isn’t one task — it’s coordinated work across understanding your current standing, strengthening your content and entities, building trust, and tracking how models talk about you. Here’s the actual work, grouped the way we run it.
Before we write a word, we figure out who’s searching, what they actually mean, and which searches are closest to a signed deal.
A CFO, a CTO and an end user search for the same product in totally different ways. We list out every person involved in the buy and find the questions each of them types — so no decision-maker is left without a page that speaks to them.
We focus on keywords that show strong commercial intent and connect your content with people who are already looking for a solution.
We look at what your competitors rank for, what they're missing, and where there's real search demand with weak content. Those gaps become your fastest, cheapest wins.
We make sure search engines can properly crawl, understand and index your website.
We identify technical problems that can stop search engines from crawling, understanding or ranking important pages on your website.
We create content that is easy to understand, useful for visitors and designed to support business goals.
Every page has a clear purpose. We combine search intent, useful information and strong messaging to create content that helps visitors take the next step.
We structure your content so answer engines can easily understand your expertise and provide useful answers.
We organise important information around the questions your audience is actually asking.
We improve how your brand and expertise can be understood across modern AI and language-model driven search.
We create a consistent information structure that helps search systems and AI models understand what your business does and why it matters.
We strengthen the structured signals that help search engines understand your business, pages and expertise.
We improve the structure and consistency of important information across your website so search engines can better understand your organisation and content.
This is a new and evolving area, so we keep it flexible — start by understanding where you stand, then choose how far to take it. We’ll scope the right fit on a quick, honest call.
A full picture of a large site and a prioritised plan.
Our most-common engagement — an ongoing, coordinated programme..
A deeper partnership for complex, high-stakes estates.
Founder, Road to Top 5
When people hear 'enterprise SEO' they often imagine some advanced, secret set of tactics. In my experience it's the opposite. The tactics are usually the same fundamentals — good architecture, solid technical health, content that matches intent. What changes completely is the scale and the context. You're not editing a handful of pages; you're working with thousands generated by templates, across teams that each have their own priorities and their own roadmap.
That's why I think the real skill in enterprise SEO is coordination, not cleverness. On a big site, knowing what to do is rarely the hard part. Getting it agreed across developers, content, brand, legal and regional teams — and actually shipped through approval chains and release cycles — is where most SEO programmes stall. We spend as much energy on fitting into how a large organisation moves as we do on the SEO itself, because a brilliant recommendation that never gets implemented is worth nothing.
The scale also raises the stakes. On a small site a mistake is a minor annoyance. On an enterprise site, a careless systemic change can wipe out visibility across whole sections overnight. So we lean hard on governance, testing and careful rollout — standards that stop avoidable mistakes, and staged changes with monitoring so nothing big goes wrong quietly. It's less glamorous than 'growth hacks', but it's what actually protects a large business.
And in a market like India, there's the added reality of regions and languages. A large Indian organisation is really operating in many markets at once, and treating it as one flattens all the local intent that drives results. We build structures that stay consistent as a brand while giving regional and language differences the room they need. Put simply: enterprise SEO, done well, is disciplined, coordinated, and honest about complexity — and that's exactly the kind of work we like doing.
LLM SEO is new, evolving and full of hype. We cut through it with genuine understanding of how these models pick sources, honest expectations, and the same simple system we use across all our work.
Find, Prioritise, Discover, Plan & Execute — the same repeatable system we use across our work, applied to LLMs: finding where the models currently place you, prioritising the queries that matter, and doing the work to become part of those answers.
Find where LLMs place you
Prioritise the queries that matter
Discover how to become a source
Plan & execute the work
LLM SEO isn’t separate from good SEO — it builds on it. We connect it to your traditional search and answer-engine work, so the same strong foundation earns you visibility in Google, AI Overviews and the models themselves.
our goal is simple — get your brand named inside the answers models give
LLMs favour content that’s clear, well-structured, trustworthy and consistent across the web. We know what these models tend to reward and build your presence around it, rather than guessing.
Models think in entities and relationships, not just keywords. We strengthen how your brand is understood and connected across the web — the foundation for being recognised and recommended by AI.
This space changes monthly and nobody has it perfectly figured out. We’re straight about what we know, what’s still uncertain, and what’s worth doing now — with senior people and the founder close to your account, not juniors chasing hype.
Find → Prioritise → Discover → Plan & Execute. A clear, step-by-step loop adapted for LLMs — each step lights up as you scroll into it.
We start by getting a full, honest picture of a large and often messy site — technical health across templates, content overlap, regional structure and where visibility is being lost. On an enterprise site, simply seeing the whole thing clearly is half the battle.
There's always more to fix than resources allow. We rank everything by likely business impact and effort, and align it with your teams — so the programme goes after the changes that matter most to revenue and pipeline, not just the easy or interesting ones.
On a big site, the right fix is usually systemic — at the template, platform or structural level — so one change corrects thousands of pages. We work out those scalable solutions, and the safe way to roll them out, rather than patching page by page.
Then we execute in a way that fits how a large organisation moves — clear specs for developers, work planned around release cycles and approvals, careful rollout with monitoring, and standards that keep the site healthy. We report to leadership in business terms and keep the loop running.
The questions founders in India actually ask us about LLM SEO — answered plainly and honestly, hype stripped out.
LLMs are changing content creation in two ways: they’re powerful tools for producing and researching content faster, and they’re becoming a destination that content now needs to be written for, not just search engines.
There are really two sides to this. First, as a tool: businesses in India are increasingly using LLMs like ChatGPT to help research, draft and structure content faster, which lowers the cost of producing a lot of content. That’s useful, but it comes with a catch — if everyone uses the same tools the same way, the web fills up with similar, generic content, and both search engines and readers reward what actually stands out with real expertise and originality. Second, and more strategically, LLMs are becoming a destination: people ask them questions directly, so content now has to be created not just to rank on Google but to be understood, trusted and quoted by these models.
In practice this means writing clear, genuinely useful, well-structured content that answers real questions, adding first-hand experience and specifics that generic AI output lacks, and making sure your brand is consistently and accurately described. So LLMs both speed up how content is made and raise the bar for what content needs to achieve — the businesses that win use AI to work faster while keeping the human expertise and originality that models and readers actually value.
AI brings speed, scale and insight — faster research and content, the ability to handle large sites and multiple languages, and sharper analysis — which is especially valuable in a market as large and diverse as India.
Used well, AI offers real advantages for SEO in India. Speed and scale: AI tools accelerate keyword research, content drafting, and technical analysis, letting even small teams cover more ground — which matters in a competitive market. Handling diversity: India’s many languages and regional variations are hard to cover manually, and AI can help research and adapt content across them more efficiently. Sharper insight: AI can spot patterns in large amounts of search and performance data — content gaps, intent clusters, technical issues — that would take far longer to find by hand. Personalisation and intent: AI helps understand what searchers actually want, so content can be matched to real intent rather than just keywords.
The important caveat is that AI is a force multiplier, not a replacement for judgement. In India’s market, where competition is fierce and generic content is everywhere, the advantage comes from combining AI’s speed with genuine human expertise, local understanding and originality. Businesses that lean on AI for efficiency while keeping the strategy and quality human tend to get the best of both.
AI tools make keyword research faster and deeper — clustering keywords by intent, uncovering long-tail and question-based queries, helping with multiple languages, and revealing gaps competitors have missed.
Traditional keyword research is often a manual slog through lists of terms. AI enhances it in several practical ways. Intent clustering: rather than treating keywords in isolation, AI can group them by the underlying intent, so you understand the topics and questions behind searches and can plan content around them. Long-tail and questions: AI is good at surfacing the specific, conversational and question-based queries people actually use — increasingly important as search becomes more natural-language. Language and regional coverage: for the Indian market, AI can help research keywords across multiple languages and regional phrasings that would be impractical to do manually.
Gap analysis: AI can quickly compare your coverage against competitors and highlight valuable topics you’re missing. Prioritisation: it can help weigh terms by relevance and opportunity so effort goes where it counts. The result is research that’s not just faster but richer — grounded in intent and topics rather than flat keyword lists. As always, the AI does the heavy lifting on data, but human judgement decides which opportunities actually fit the business and are worth pursuing, which is where the real value is added.
The core principles are honesty, accuracy and value: disclose where appropriate, always fact-check AI output, never mislead readers or search engines, and keep genuine human expertise and originality in the work.
As AI content becomes common, using it ethically matters — both for trust and for performance, since search engines and users increasingly penalise low-value AI spam. A few sensible guidelines. Prioritise value and accuracy: AI can draft, but you must fact-check everything, because models can produce confident, wrong information — publishing that damages your credibility. Don’t mislead: avoid using AI to mass-produce thin content purely to game rankings, or to impersonate expertise you don’t have; search engines are actively targeting this. Keep humans in the loop: use AI to assist, but add real experience, judgement and originality, especially for topics affecting people’s money, health or safety, where trust is critical.
Be transparent where it matters: in sensitive contexts, being honest about AI involvement builds trust. Respect originality and IP: don’t pass off or plagiarise others’ work that AI may surface. And follow both search-engine guidelines and any applicable Indian regulations around data and disclosure. The simplest test: are you using AI to genuinely serve your audience better, or just to cut corners? Ethical AI use in SEO comes down to keeping quality, honesty and the reader’s interest at the centre.
Because it’s a new field, look at forward-thinking SEO agencies and specialists who are actively working on AI search — found via LinkedIn, referrals and their published thinking — and judge them on genuine understanding rather than hype.
LLM SEO is new enough that dedicated ‘LLM SEO consultants’ are still relatively rare, so the most reliable route is finding SEO specialists and agencies who clearly understand and are actively working on AI-era search. You’ll find them through professional networks like LinkedIn, referrals from other founders, and — tellingly — by looking at who is publishing genuinely thoughtful, non-hype content about how LLMs and AI search actually work. That published thinking is a good filter in itself. When evaluating anyone, be careful: this is a field where hype outpaces substance.
A credible consultant will be honest that it’s early and evolving, will explain how these models tend to pick and trust sources rather than promising a magic result, and won’t guarantee you’ll be ‘the top answer in ChatGPT’ — because nobody can. They should also understand that LLM SEO builds on solid traditional SEO, not replaces it. Look for someone who can clearly explain their approach, show they understand both classic SEO and the AI shift, and set realistic expectations. Substance and honesty matter far more here than a flashy pitch.
Costs vary and the field is new, but for LLM-focused SEO in cities like Delhi, engagements often start with an audit in the tens of thousands of rupees, with ongoing monthly work commonly ranging from roughly ₹50,000 to well over ₹1 lakh depending on scope.
Because LLM SEO is emerging, pricing is less standardised than traditional SEO, and any figure is a rough guide. In practice, a sensible starting point is an AI visibility audit — understanding how the models currently see you — which might sit in the tens of thousands of rupees as a one-time piece. Ongoing programmes, which include content, entity and authority work plus monitoring, commonly range from around ₹50,000 per month upward, with more comprehensive engagements that combine LLM SEO with traditional and answer-engine SEO costing more again.
Delhi rates can be marginally higher than smaller cities simply because agency costs in metros are higher, though many capable providers work remotely at similar prices. A word of caution specific to this field: because it’s hyped, some will charge premium prices for vague ‘AI SEO’ with little substance. The right question isn’t just the price but what you’re actually getting and whether they’re honest about what’s achievable. A good agency will be transparent about scope, realistic about this being a new area, and clear that LLM SEO works best built on a solid SEO foundation — we’re happy to talk through exactly what makes sense for your situation and budget.
You get early-mover advantage in AI answers, expertise in a confusing and hype-filled field, a strategy grounded in how models actually work, and visibility that complements your traditional SEO — all without wasting effort on tactics that don’t work.
The main benefit is getting ahead in a shift that’s already happening while most competitors are still ignoring it. LLM SEO experts help you show up in the answers ChatGPT, Claude, Gemini and Perplexity give — increasingly where buying decisions start — which is hard to achieve without understanding how these models select and trust sources. A good expert brings several things: clarity in a field full of hype, so you invest in what actually works rather than gimmicks; a proper baseline of where you currently stand in AI answers; and the content, structure, entity and trust work needed to improve it.
They also connect LLM SEO to your traditional and answer-engine SEO, so one strong foundation earns you visibility everywhere rather than treating AI as a separate silo. And crucially, an honest expert saves you from wasting money — this is an area where a lot of nonsense is being sold, and someone who’s straight about what’s known, what’s uncertain and what’s worth doing is genuinely valuable. For a forward-thinking business in India, establishing presence in these models early, done properly, is an advantage that compounds as AI search keeps growing.