Technical SEO

The telltale pattern is good content underperforming: pages that answer searches better than competitors yet rank below them, new content taking weeks to index, or Search Console showing large gaps between discovered, crawled and indexed pages. Falling traffic after a redesign or migration is another strong signal. The definitive answer comes from diagnosis — a crawl compared against coverage data shows exactly what search engines cannot see or refuse to index. Our audit gives you that answer with evidence, including the honest one if technique is not your bottleneck.

Crawl budget is the attention Google allocates to fetching your pages, shaped by your site’s authority and server capacity. Small sites rarely exhaust it; it becomes decisive when URL counts explode — ecommerce facets, parameters, search pages, calendars — so Google burns its visit on junk while money pages wait. The symptoms appear in crawl stats and log files: thousands of hits on URLs you never wanted indexed. If your site generates URLs faster than it generates content, crawl discipline is likely among your highest-leverage fixes.

Rendering at Google’s scale is capable but not free: JavaScript-dependent content can be indexed later, partially, or occasionally not at all, especially when it loads behind interactions, errors, or slow hydration. AI crawlers are weaker still — several barely execute JavaScript, which means content invisible without it may be absent from AI answers entirely. Our framework audits compare rendered output against what crawlers receive, then fix the gaps through server-side rendering, pre-rendering or restructuring — so your content exists for every machine that matters, not just patient ones.

Start with Largest Contentful Paint — how fast the main content appears — because on the mid-range Android devices and 4G connections most Indian users browse with, LCP failures are both the most common and the most damaging to bounce rates. Interaction to Next Paint matters next, particularly on script-heavy stores where taps lag. Cumulative Layout Shift is usually the quickest fix. But the honest sequencing comes from your field data, which records real user experience — we prioritise from that, not from generic advice.

Usually yes, and speed of response matters. Redesign collapses almost always trace to identifiable causes: URLs changed without redirects, titles and headings rewritten wholesale, content trimmed for aesthetics, noindex tags escaping staging, or rendering shifts from a new framework. We diagnose by comparing pre-launch crawls or archives against the current site, then restore what was lost — redirects, signals, content — in priority order. Recovery timelines depend on how much equity leaked, but most sites regain their footing once the specific breakages are repaired.

Free checkers pattern-match one page against a generic checklist and cannot see the systemic layer where real problems live: sitewide crawl behaviour, index coverage gaps, log-file reality, rendering differences, canonical conflicts across thousands of URLs. They also cannot prioritise — everything is a red warning, whether it costs you nothing or half your traffic. Our audit is diagnosis: full crawls, coverage and log analysis, findings verified by hand, and a roadmap ordered by revenue impact with developer-ready specifications. One is a thermometer; the other is medicine.

If you serve meaningfully different audiences with separate URLs — an Indian store in rupees and a US version in dollars, or English and Hindi editions — hreflang tells Google which version belongs to which audience, preventing the wrong one ranking in the wrong market. If one English site serves everyone identically, hreflang adds nothing. Implementation errors are common and quietly harmful — wrong codes, missing return links — so when internationalisation is on your roadmap, we design and validate the setup rather than bolting it on afterwards.

Yes — that is our preferred mode for technical work. We deliver findings as precise, tested tickets in your workflow — reproduction, specification, acceptance criteria — join sprint discussions where useful, and review significant releases before launch so regressions are caught pre-deployment rather than post-mortem. Your developers keep ownership of the codebase; we supply the search-engineering judgement and the verification pass after each change ships. Teams generally find this faster and less painful than receiving a hundred-page PDF audit to interpret alone.

Directly — AI systems can only represent what they can fetch and parse. Their crawlers favour fast servers, clean HTML, content available without JavaScript execution, unambiguous structure and schema that states facts machine-readably. Sites failing on these are underrepresented or misdescribed in AI answers regardless of content quality. The same foundation we build for Google — crawlability, rendering, structured data, speed — is what makes a site legible to answer engines, which is why technical work now protects visibility on surfaces that did not exist a few years ago.

The rescue is finished; the maintenance begins. Sites regress: releases ship an accidental noindex, plugins update canonical behaviour, new sections launch outside the architecture, vitals drift as features accumulate. That is why we offer ongoing monitoring — coverage, vitals, crawl anomalies watched continuously, plus release review for teams that ship often — catching issues in days instead of discovering them in a quarterly traffic drop. Sites that change rarely can genuinely stop after verification; sites that change weekly should treat technical health as a maintained state.