SEO
Search work that starts with whether your site can be crawled, rendered and understood, by Google and increasingly by the AI systems people now ask instead. Rankings follow the technical foundation, not the other way round.
Search work that starts with whether your site can be crawled, rendered and understood, by Google and increasingly by the AI systems people now ask instead. Rankings follow the technical foundation, not the other way round.
There is no content strategy that rescues a site search engines cannot render, a URL structure that duplicates itself four ways, or a page that takes six seconds to show anything on a phone. We fix the foundation first: crawl budget, indexation, canonicals, redirects, structured data, Core Web Vitals.
Two terms have grown up around this work. Answer Engine Optimisation (AEO) is about being the source a system quotes when someone asks a direct question. It rewards content that answers plainly, close to the question, in text a machine can lift without interpretation. Generative Engine Optimisation (GEO) is about being a brand those systems recognise and cite at all, entity clarity, consistent facts about who you are across the web, and structured data that ties it together.
They are layers on top of technical SEO, not replacements for it. A site that cannot be crawled or rendered will not be quoted either. We treat all three as one body of work, because the underlying fixes overlap almost entirely.
What none of it is: a guarantee. No one can promise a mention in ChatGPT or a place in an AI overview, those systems are not ours to control, and any agency saying otherwise is selling certainty it does not have. What we can do is remove the reasons you are not eligible.
A growing share of research now happens inside ChatGPT, Gemini, Claude and Perplexity, which read pages differently from a traditional crawler. They favour clear semantic structure, direct answers near the question, explicit entity information in JSON-LD, and content that states facts plainly rather than building to them.
That is not a separate discipline from good technical SEO. It is the same discipline with the emphasis moved. We structure content so both a crawler and a language model can extract an accurate answer.
Crawl, index, render, duplication, redirects, log review.
Field data diagnosis and the fixes, in priority order.
A connected JSON-LD graph, validated, not scattered snippets.
Pillars, clusters and internal linking with intent.
hreflang, market targeting and duplicate management.
Consistent identity data across the graph, for GEO eligibility.
Questions answered plainly and near the top, for AEO.
Search Console and Bing, with the AI-citation picture alongside.
Technical fixes can move things in weeks, indexation and Core Web Vitals problems often show improvement inside a month. Competitive ranking gains from content and authority realistically take six months or more. Anyone promising page one in thirty days is selling something else.
Largely by being genuinely citable: clear semantic HTML, direct answers to real questions, accurate structured data describing who you are, and content that exists as text rather than inside images or client-rendered JavaScript. It also helps to be referenced on sites those systems already trust.
No. Both sit on top of technical SEO and depend on it. Answer Engine Optimisation shapes how directly your content answers a question; Generative Engine Optimisation is about whether AI systems recognise your brand as an entity worth citing. Neither works on a site that cannot be crawled, rendered or understood, so the technical foundation comes first either way.
No, and neither can anyone else, the ranking systems are not ours to control. We commit to the work, the measurement and honest reporting on what moved.
New Delhi. Search work does not depend on sharing a city, crawlability, structured data and Core Web Vitals are the same wherever the team sits, so we take on search projects for companies across India and internationally.
Usually yes. Most failures come from a handful of causes, unoptimised images, render-blocking resources, third-party scripts and layout shift from unsized elements. We diagnose from field data rather than lab scores, because that is what Google actually uses.