Amit Gaurav is a digital marketing consultant based in Gurugram, working with Delhi NCR businesses across SEO, Google Ads, social media, and AI-assisted marketing systems. The work started at 17, self-taught, before high school was even finished — buying a first domain and experimenting with SEO directly, years before it became a career. Over 10+ years that grew into full-stack digital marketing across SEO, SMM, SMO, PPC, and web design, and more recently into building AI tools directly into client marketing systems rather than treating AI as a buzzword bolted onto the same old process. Every engagement — audit, strategy, implementation — is run personally, with no outsourced execution passing work through a junior team member.

Five connected service lines, all delivered by the same person: AI marketing consulting (strategy, automation, and hands-on implementation connecting AI tools to existing marketing systems), AI SEO services (technical audits, AI-powered keyword clustering, and content built for hyperlocal Delhi NCR and Gurugram search), AI performance marketing (Google Ads budget planning and bid management, including a free budget calculator tool), AI social media marketing (content pipelines built to sound consistently on-brand), and AI for small business marketing (scaled-down systems for teams without a full in-house marketing department yet). Web and graphic design — the original specialization this all grew out of — is still handled directly where needed. The common thread across all five is the same: strategy and judgment stay human, AI handles the repeatable research and production work.

A typical agency often means a sales-facing account manager as the main point of contact, with the actual work done by a rotating set of junior specialists behind the scenes — reasonable for large budgets, but it can mean slower turnaround and diluted context on smaller accounts. Working with Amit means the person who ran the audit, built the strategy, and set up the automation is also the person answering questions about it later — there’s no handoff layer in between. The trade-off is capacity: this isn’t a large team that can take on an unlimited number of clients, which is exactly why a short fit and capacity conversation happens before any commitment, not after.

It can, if changes are made carelessly to an account or site that’s already performing well — worth stating plainly rather than glossing over. Any change to bidding, budget, keyword targeting, or site content carries some short-term risk while search engines or ad platforms re-adjust, especially on accounts with a long performance history. In practice this gets managed by auditing first and changing gradually: high-performing existing campaigns or pages are generally left alone at first, while new approaches are tested on a smaller slice of budget or on newer pages before being rolled out further. If something is already working, the honest recommendation is sometimes to leave it alone rather than change it to justify billing.

For Google Ads, expect roughly 2-4 weeks of data collection on a new account before there’s enough volume to make confident decisions, since Google’s own bidding algorithms need a similar learning period. For SEO, technical fixes can show measurable crawl and indexing improvement within 2-4 weeks, but meaningful ranking movement typically takes 2-4 months and often longer for competitive keywords, since Google needs time to recrawl and re-evaluate a site. For AI marketing automation like lead response systems, the fastest-moving win, initial impact is often visible within the first 2-3 weeks. Any promise of dramatic results within days, across any of these, should be treated with real skepticism.

Engagements are specifically scoped for small and mid-sized Delhi NCR and Gurugram businesses, not priced like an enterprise retainer with a large in-house team behind it. Rather than a single expensive all-encompassing program, work is scoped around the one or two highest-leverage systems a business needs first — often lead response automation, a keyword and content foundation, or a realistic Google Ads budget — before scaling further. Tool subscription costs, like Semrush access, are kept separate and transparent rather than folded invisibly into a package price, so there are no surprises after the engagement starts.

A free audit is a genuine review of what currently exists — a Google Ads account, a website’s SEO setup, a marketing funnel, or some combination — rather than a scripted sales pitch dressed up as an audit. Depending on what’s being reviewed, this typically covers: which campaigns or keywords are actually converting versus quietly burning budget, technical crawl and indexing issues suppressing rankings, competitor gaps worth closing, and where a marketing funnel is losing leads it doesn’t need to. You receive this as a written summary highlighting the two or three highest-impact fixes to prioritize — genuinely useful even if the fixes get implemented independently.

No. Anyone guaranteeing a specific Google ranking, ROAS, or traffic number is promising something they don’t fully control — search engine algorithms, ad auction dynamics, and a website’s own conversion rate all affect the outcome, and no consultant sets those variables. What can reasonably be committed to is the process: a documented baseline, honest reporting, recommendations grounded in real data, and clear communication about what’s working and what isn’t. A guaranteed outcome in either paid ads or SEO is one of the more reliable warning signs to watch for when evaluating any marketing provider, not a sign of confidence.

Claude (Anthropic) handles most long-form content and brand-voice consistency work across dozens of pages without drifting into generic AI phrasing. ChatGPT (OpenAI) gets used for fast first drafts, campaign brainstorming, and quick iteration on meta descriptions and schema markup. Perplexity is used for current, cited market and SERP research during the audit and strategy phase. Semrush is the source of truth for real keyword volume, difficulty, and competitor ranking data — AI clustering happens on top of this, never instead of it. Google Gemini gets used where a client already lives in Google Workspace, for reporting automation. None of these run unsupervised — every output is reviewed before it reaches a live campaign or a client’s site.

The most useful first step is usually the free audit — sending over a current Google Ads account, website, or marketing funnel for an honest review before any commitment is made. For anyone specifically unsure what a realistic Google Ads budget should be, the free budget calculator is a fast, no-commitment way to get a data-backed number first. From there, a direct conversation — via the contact form or WhatsApp — is the natural next step, with no pressure to sign anything on that first exchange. The goal is figuring out honestly whether it’s a good fit on both sides before any engagement begins.