Rank My Business is an LLM SEO company in India that makes your brand easy for large language models to find, understand, trust and cite — so when a customer asks ChatGPT, Gemini, Perplexity or Google's AI Overviews for a recommendation, you're the one named, not a competitor.
500+
Brands Served
1000 +
Leads Generated
10+
Years of Experience
3X
Organic Growth
LLM SEO is the practice of optimizing your website and your brand's presence across the web so that large language models — the engines behind ChatGPT, Gemini, Perplexity, Copilot, Claude and Google's AI answers — can understand who you are, trust what you say, and cite you when someone asks a question you should be the answer to. It builds on classic SEO, but it is judged differently: not by where you rank, but by whether you are named, quoted or linked inside the answer.
Models absorb an impression of brands, products and topics from broad web signals. When someone asks "who are the best providers of X?", brands the model already associates with X get named. Building that association takes consistent, corroborated mentions across sources you don't fully control.
When an assistant searches the live web to answer, it picks pages to read and quote. Those pages tend to answer the question directly, load quickly, look trustworthy and sit in an index the assistant can reach. This is the layer you can influence fastest, page by page.
Chasing only retrieval misses the answers where no search happens; chasing only brand mentions misses the live citations that send measurable traffic today. We work both layers and track them against the same prompt set so you can see which is moving.
The industry uses several overlapping labels. GEO (generative engine optimization), AEO (answer engine optimization) and LLM SEO describe largely the same work with different emphasis. Here is how we draw the lines so you know what you are buying. If you also want to cover Google's own AI Overviews and voice search under one strategy, see our broader AI SEO services.
| Classic SEO | AEO | LLM SEO / GEO | |
|---|---|---|---|
| Goal | Rank pages in search results | Win featured snippets, voice and direct answers | Be named, cited and accurately described inside AI-generated answers |
| Unit of success | Position and clicks | Snippet or answer ownership | Share of answers across a tracked set of prompts |
| Where it shows up | Google and Bing results pages | Snippets, People Also Ask, voice assistants | ChatGPT, Gemini, Perplexity, Copilot, Claude, AI Overviews and AI Mode |
| Key inputs | Content, links, technical health | Concise answers, FAQ and how-to structure | Answer-first content, entity clarity, third-party corroboration, crawler access, freshness |
| Overlap | The foundation the other two build on | A subset of LLM SEO tactics | Extends both — you still need the SEO foundation underneath |
AI answers compress the buying journey. Instead of comparing ten tabs, the customer gets a shortlist — and the shortlist is where the decision starts. Businesses that aren't on it are rarely even considered.
An AI answer usually names a few options with a sentence on each. Being one of them puts you in the consideration set before the customer has visited a single website.
A page can rank well and still never be cited, while a clearer page from a smaller competitor gets quoted. The signals overlap with SEO but are not identical, so rankings alone can't tell you where you stand.
Fewer people click through from AI answers, but those who do have usually been pre-sold by the answer itself. The visitors are fewer and warmer — which is why we track enquiries, not just sessions.
Models sometimes state outdated services, wrong locations or confused pricing about a brand. Left alone, customers hear that version first. Fixing the underlying sources corrects it over time.
Once a model consistently associates a topic with certain brands, that association is reinforced by every source that repeats it. Building it now is cheaper than displacing an entrenched competitor later.
Clear structure, real expertise, fast pages and corroborated facts also help Google rankings. The work compounds across both, so it isn't a bet against your existing SEO.
Unlike rankings, AI answers show who is being recommended and why. That makes the gap measurable and the competitor's winning pages studyable from day one.
Customers now split questions across Google, ChatGPT, Perplexity and social search. Optimizing for a single engine leaves the others to your competition.
Talk to our LLM SEO experts directly — call now for a quick, no-obligation chat about your brand's AI visibility.
As a Mumbai-based digital marketing company in India, we run this as a full-service LLM SEO offering — covering every workstream that decides whether you're cited, from how your content is written to how your brand is described to how machines reach your site, each planned and delivered by dedicated LLM SEO specialists and measured against real prompts.
We run a defined set of customer prompts across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews, then log whether you're mentioned, cited or absent — and who appears instead.
We map the real questions buyers ask at each stage — discovery, comparison, objection, purchase — including conversational phrasing that keyword tools miss, then prioritise by commercial value.
We rework key pages so the direct answer appears early, headings mirror real questions, and claims are specific and quotable — the format assistants extract from most reliably. See our on-page SEO process.
We make sure your name, services, locations and founders are described consistently across your site, profiles and directories, so a model can tell exactly who you are and what you're known for.
Organization, Service, Product, FAQ, Article, Review and Breadcrumb markup that states facts explicitly instead of leaving a model to infer them from prose.
We audit robots rules for AI crawlers, Bing and Google indexing, rendering, page speed and server responses — the plumbing that decides whether your content can be retrieved at all.
Reviews, editorial mentions, expert quotes, industry listings and comparison-site presence that corroborate your claims from independent sources — a major input to whether models trust you.
We build the page types assistants cite most: comparison pages with tables, clear definitions, original data and pricing explainers that give a model something concrete to quote.
Monthly reporting on share of answers, citation rate, accuracy of what AI says about you, AI referral traffic and enquiries — sampled repeatedly because AI answers vary between runs.
The engines don't behave identically, which is why one-size-fits-all "AI optimization" underperforms. These are tendencies we plan around — not fixed rules, and they change as the products do.
| Platform | How it sources answers | What we prioritise |
|---|---|---|
| Google AI Overviews & AI Mode | Built on Google's own index and ranking systems, so visibility is closely tied to being indexed and trusted by Google. | Strong classic SEO, E-E-A-T signals, structured data, clear answer blocks |
| ChatGPT | Blends what the model already knows about brands with live web retrieval when it searches. | Brand corroboration across third-party sources, quotable answer blocks, Bing and crawler access |
| Perplexity | Retrieves live sources for nearly every answer and displays citations prominently. | Direct, well-sourced, recently updated pages that load fast |
| Gemini | Draws on Google's ecosystem, including entity data such as business profiles and knowledge panels. | Entity consistency, Google Business Profile, schema, Search fundamentals |
| Microsoft Copilot | Leans on Bing's index and Microsoft's search stack. | Bing indexing, Bing Webmaster Tools, clean technical setup |
| Claude | Can retrieve live sources when web search is enabled, otherwise relies on what it learned in training. | Clear, factual, well-sourced pages plus durable brand presence |
Each platform also uses its own crawlers. For example, OpenAI distinguishes between crawlers used for training and for search, and Google's Google-Extended token controls Gemini use without affecting Search or AI Overviews. We audit your robots rules so you're making deliberate choices instead of blocking or allowing crawlers by accident.
"Optimize for AI" is vague. These are the concrete edits we make to a page — the same edits we'd show you in a before-and-after.
The direct answer to the page's main question moves to the opening lines, in a short self-contained paragraph a model can lift without needing context from elsewhere on the page.
Sections are titled the way customers actually ask — "How much does X cost in Mumbai?" — so retrieval systems can match a heading to a prompt.
Vague marketing lines are replaced with concrete facts: what's included, how long it takes, what it costs, who it's for. Models favour statements they can quote and corroborate.
Where a buyer is comparing options, we add real tables and step lists. Structured formats are easier for a model to extract accurately than the same information buried in paragraphs.
Pages carry a real author, a visible last-updated date and links to primary sources, which supports both human trust and the credibility signals assistants weigh.
FAQ, Service, Product and Organization markup is added only where the page genuinely contains that content, and validated so it states facts unambiguously.
Related pages are linked with descriptive anchors so a topic cluster reads as one authoritative body of work rather than isolated posts.
Name, address, services, pricing model and positioning match across the page, your profiles and your listings — inconsistency is one of the fastest ways to get described wrongly.
"Prompt tracking" is easier to grasp with real examples. Here's the flavor of prompts we'd build into a tracking set for a few different kinds of businesses — the exact set is always built around your own customers' language, not a generic list.
| Business Type | Sample Prompt We'd Track | What Winning It Looks Like |
|---|---|---|
| Dental clinic | "Which dentist in Andheri is good for a root canal?" | Named directly, with the assistant citing a specific page on your site |
| SaaS product | "What's a good alternative to [competitor] for small teams?" | Listed in a comparison the assistant generates, with a correct feature summary |
| Law firm | "Do I need a lawyer to draft a rental agreement in Mumbai?" | Your firm's guidance page cited as the source of the answer |
| E-commerce store | "Best budget wireless earbuds under ₹3,000 in India" | Your product page referenced by name with accurate pricing |
| Physiotherapy clinic | "How long does physio take to recover from a knee sprain?" | Your explainer content quoted as the source for recovery timelines |
This is exactly the exercise we run in your baseline audit — except with prompts built from your real customer questions, service list and city, then checked against ChatGPT, Perplexity, Gemini and Google AI Overviews side by side.
Any business where customers research before they buy — and increasingly ask an AI to do the research for them — benefits. These are the segments where we see the clearest opportunity.
Buyers ask AI to compare tools and shortlist vendors. Comparison content and clear pricing pages decide who's named. See our SaaS SEO work.
People ask AI who to see and what a treatment involves. Accurate, expert-authored content matters most here. See healthcare SEO and dental SEO.
Law firms, accountants and consultants win on trust. Corroborated expertise and clear service definitions get cited. See law firm SEO and accounting SEO.
Shoppers ask for "the best X under ₹Y". Product comparisons, reviews and clean product data determine inclusion. See ecommerce SEO.
"Best near me" questions increasingly get AI answers. Consistent listings and reviews across locations drive inclusion. See real estate and hotels.
Want to offer LLM SEO to your own clients without building the capability? We fulfil it under your brand through our white label SEO services.
We'll run your priority prompts across the major AI platforms and show you exactly where you're cited, where you're missing and who's taking your place.
You can often spot the problem before running a full audit. These are the patterns we see again and again:
Ask an assistant for the best providers in your category and city. If rivals appear and you don't, you have a retrieval or brand-association gap.
Wrong services, old addresses, mixed-up pricing or confusion with a similarly named business — a sign your brand facts are inconsistent or thinly sourced.
You rank on page one but never get quoted. Usually the content buries its answer, lacks structure, or isn't backed up by third-party sources.
A blanket robots rule, a CDN bot filter or a security plugin quietly turns away the crawlers assistants use — and nobody notices for months.
If the only place describing your business is your own website, models have little independent evidence to trust. Reviews and editorial mentions fix this.
Pages with no update date, old statistics or outdated pricing get passed over for fresher, corroborated sources — particularly on live-retrieval platforms.
AI answers are less predictable than rankings — the same prompt can produce different answers on different days. So we measure by sampling a fixed prompt set repeatedly and reporting trends, not single lucky screenshots.
Across your tracked prompts, the percentage of answers that mention your brand, compared with each named competitor, per platform and per month.
How often your URLs are linked or referenced as sources — and which pages earn them, so we know which formats to replicate.
Whether AI states your services, locations and positioning correctly, tracked as a checklist so corrections show up in the report.
Visits from AI platforms segmented in GA4 where the referrer is identifiable, with a note on what can't be attributed.
Growth in searches for your brand name and brand-plus-service queries, a common downstream effect of being recommended by AI.
Form fills, calls and "how did you hear about us" responses mentioning AI tools — because the goal is business outcomes, not mentions.
Anyone guaranteeing a specific ChatGPT mention is guessing. Here's what we'll commit to and what we won't.
Measure your baseline, fix the technical and content issues that block citation, build corroborating third-party presence, and report movement in share of answers every month with the raw prompts behind it.
Promise a guaranteed position, a specific number of mentions, or an overnight result. Models, retrieval systems and answers change constantly, and no agency controls them.
Technical and on-page fixes can show up in retrieval-driven platforms within weeks once re-crawled. Brand-association and third-party corroboration usually take several months of consistent work to shift.
Start with a one-time diagnostic to see where you stand, or move straight to ongoing citation-building. Exact scope and pricing are set after the free audit, since a single-city clinic and a multi-product SaaS need very different coverage.
| What's Included | SnapshotOne-time audit + roadmap | MomentumOngoing, monthly | CommandMulti-product / multi-market |
|---|---|---|---|
| Prompts tracked | Up to 25 | Up to 75 | 150+, segmented by market and product |
| Platforms monitored | ChatGPT, Perplexity, Gemini, AI Overviews | All four, plus Copilot and Claude | All major platforms, plus regional variants |
| Pages restructured | Priority-page recommendations | Up to 10 pages per month | 25+ pages per month |
| Third-party mentions & PR | Gap analysis only | Ongoing mention and review building | Dedicated outreach and digital PR |
| Technical & crawler audit | Full audit and fix list | Audit plus implementation support | Implementation with your dev team |
| Reporting | One report with roadmap | Monthly report and dashboard | Monthly report, dashboard and stakeholder reviews |
| Strategy calls | One walkthrough call | Monthly | Monthly, plus on-demand |
What moves the price most between these three: how many prompts and competitors you want tracked, how many pages need restructuring, how much third-party presence has to be built from scratch, and whether the work spans one city or several markets and languages.
Searching for an "LLM SEO agency near me" or comparing LLM SEO companies in India? Here's what sets our team of LLM SEO experts apart, and why our LLM SEO specialists treat this as an extension of solid SEO, not a replacement for it.
Ten-plus years of SEO means the retrieval layer — indexing, speed, structure, authority — is handled properly rather than bolted on.
Every report includes the actual prompts, dates and platforms behind the numbers, so you can rerun them yourself and verify the story.
No guaranteed-mention promises. We tell you what's within our control, what isn't, and what to expect on timing.
Every edit still has to serve a real reader. We don't stuff pages with machine-bait that would put off the customers you're trying to win.
Our industry work spans healthcare, legal, SaaS, e-commerce and local services, so we understand each sector's trust signals.
Entity clarity, corroborated facts and quality content stay valuable however individual AI products change — the durable part of the work.
We learn your offer, customers and competitors, then build the prompt set that reflects how buyers really ask.
Prompts run across platforms and logged: who's cited, who's named, what's said about you, and where it's wrong.
Robots rules, indexing in Google and Bing, rendering, speed and schema checked and fixed so content is reachable.
Priority pages rewritten answer-first; brand facts made consistent across your site, profiles and listings.
Reviews, listings, expert mentions and comparison-site presence built to back your claims from independent sources.
Monthly re-runs of the prompt set, trend reporting, and a refreshed priority list based on what's moving.
Industries
LLM SEO is optimizing your website and brand presence so large language models — behind ChatGPT, Gemini, Perplexity, Copilot, Claude and Google's AI answers — can find, understand, trust and cite you. Success is measured by being named or linked in AI-generated answers, not just by ranking position.
An LLM SEO company audits how AI platforms currently describe and cite your brand, fixes the technical and content gaps blocking citation, builds third-party corroboration that backs your claims, and tracks a fixed set of prompts over time to prove the work is moving the needle.
Look for a team that shows you the actual prompts and platforms they track, is upfront that no citation can be guaranteed, and treats LLM SEO as built on top of solid SEO rather than a shortcut around it. Ask to see a sample AI visibility audit before committing.
The terms overlap heavily. GEO and LLM SEO generally mean optimizing to be cited in generative AI answers; AEO is often used for winning direct answers such as featured snippets and voice results. In practice the work is one continuous discipline, and we cover all of it.
No. Many AI answers retrieve pages through search indexes, so indexing, speed, authority and content quality still matter. LLM SEO extends SEO with answer-first structure, entity clarity, third-party corroboration and citation tracking. Skipping the SEO foundation usually caps how far LLM SEO can take you.
No, and be cautious of anyone who does. AI answers vary between runs and change as models and retrieval systems update. We commit to measuring your baseline, fixing what blocks citation, and reporting movement in share of answers with the underlying prompts so you can verify it.
Technical and on-page fixes can influence retrieval-based platforms within weeks once pages are re-crawled. Shifting how models associate your brand with a topic, which depends on third-party corroboration, typically takes several months. We report interim indicators so you're not waiting blind.
It's a business decision, not a default. Allowing search-related crawlers generally helps visibility in the assistants that use them, while some businesses deliberately block training crawlers. We audit your current robots rules and any firewall or CDN filters, explain what each choice affects, and set it up deliberately.
It's optional. llms.txt is a proposed convention for pointing AI systems to your key content, but no major platform has confirmed that it influences citations. It's cheap to add, so we include it as low-risk hygiene, but we don't rely on it — the real gains come from content, entity and technical work.
We can improve it, though we can't edit a model directly. We identify where the wrong facts likely originate — outdated listings, inconsistent site copy, thin or conflicting sources — and correct them at the source, then re-run the prompts to confirm the answers change over time.
We run a fixed set of prompts repeatedly across platforms and report trends in share of answers, citation rate and accuracy, rather than one-off screenshots. We also track AI referral traffic, branded search growth and enquiries to tie visibility back to business outcomes.
Yes. Agencies and consultants can resell LLM SEO under their own brand with branded reporting and NDA-backed delivery. See our white label SEO services for how the partnership works.
Get a free AI visibility audit and a clear plan to earn citations across ChatGPT, Gemini, Perplexity and Google AI Overviews.