How Klyverai Works: Frameworks, Audits, and Methodologies Across Every Service

Before checking a single keyword, we verify Google can find and index your pages correctly. We cross-reference Search Console coverage data against a full crawl to identify pages that exist but are not being indexed, pages being indexed that should not be, and canonicalization conflicts silently splitting authority. We also audit your robots.txt for accidental disallow rules blocking important page categories, check crawl budget consumption on large sites to identify wasteful crawl traps like infinite scroll parameters and session ID URLs, and verify that hreflang tags on multilingual sites are bidirectionally consistent.

We run PageSpeed Insights on mobile for your 10 highest-traffic pages and your 5 most important commercial pages. We do not aggregate scores. A homepage passing LCP but a product page failing is still a conversion problem. Each failing page gets a specific fix: identified render-blocking scripts, unoptimized image formats, missing resource hints, third-party tag load order issues, and server response time breakdowns. We also pull CrUX field data to compare lab scores against real-user measurements, since lab scores alone can be misleading on pages with heavy personalisation or A/B test scripts.

We map how PageRank flows through your site using a crawl depth analysis. Pages more than 3 clicks from the homepage typically rank poorly regardless of content quality. We identify your most valuable pages that are buried and map the internal link changes that fix it. We also audit anchor text distribution across internal links to ensure contextually relevant anchors are used instead of generic "click here" or "learn more" text, and we identify orphan pages that receive no internal links at all — these are entirely invisible to Google's internal link graph.

We map every redirect chain and loop in your site. Redirect chains longer than one hop bleed PageRank and slow page load. We identify all 301s pointing to pages that themselves redirect, all 302s that should be 301s, and any redirect targets returning 404 errors. We also audit your URL parameter handling in Search Console to confirm that faceted navigation, tracking parameters, and sorting parameters are not generating thousands of duplicate URLs being indexed.

We audit title tags, H1s, meta descriptions, schema markup, and image alt attributes across your top 50 pages. Not for length compliance but for keyword intent alignment. A title tag can be the right length and still be targeting the wrong intent entirely. We also check for duplicate title tags across the site, missing H1s, multiple H1s on the same page, and pages where the primary keyword is absent from all key on-page signals simultaneously. We audit structured data implementation using Google's Rich Results Test and Schema.org validator to catch markup errors preventing rich result eligibility.

For sites with more than 500 pages we request server log files and analyse Googlebot's actual crawl behaviour over the last 30 days. This reveals which pages Google is visiting most frequently, which important pages are being crawled rarely or never, and whether crawl budget is being consumed by URLs that should be blocked. Log file analysis frequently uncovers crawl waste that Search Console alone does not surface.

We pull your full backlink profile from Ahrefs and segment it by domain authority, topical relevance, and anchor text distribution. We identify toxic links requiring disavowal, missed link opportunities from unlinked brand mentions, and competitor link sources you should be targeting. We also analyse your anchor text profile for over-optimisation signals — a backlink profile with more than 20 percent exact-match commercial anchors carries a manual action risk even when the links themselves are legitimate.

Google's helpful content system and quality rater guidelines weight Experience, Expertise, Authoritativeness, and Trustworthiness signals heavily. We audit your site for author bylines and bio pages with credential detail, About page depth, contact information completeness, editorial policy and review date visibility, citations and outbound links to authoritative sources, and whether your content demonstrates genuine first-hand experience rather than generic information aggregation. Thin EEAT is increasingly a ranking ceiling regardless of technical and link performance.

Before touching a keyword tool, we map your service or product lines to buyer stages: awareness, consideration, decision, and retention. This becomes the skeleton every keyword fits into. A keyword without a buyer stage assignment is a keyword without a business case. We also identify which buyer stages are currently underserved in your existing content, since most sites have an excess of informational content and a gap at the decision and comparison stages where purchase intent is highest.

We pull the top five organic competitors and use Ahrefs to find every keyword they rank for in positions 1 to 20 that you do not rank for at all. These are proven search terms with proven demand. We prioritise by your ability to rank given your current domain authority versus the ranking difficulty. We also identify which competitors are dominant in which topic areas, so we can find categories where the competitive field is weaker and build topical authority faster.

For every priority keyword we analyse the current SERP to understand what Google is rewarding. A keyword that shows AI Overviews, featured snippets, People Also Ask boxes, image packs, or video carousels requires a different content strategy than a keyword showing only blue links. We match content format recommendations to SERP feature composition, not just keyword intent.

Every keyword is assigned to an intent cluster: informational, commercial, navigational, or transactional. Each cluster maps to a different content format. A transactional keyword needs a product or service page. An informational keyword needs a pillar article. Mismatching format to intent is the single most common reason good content fails to rank. We also identify keywords where intent is mixed or ambiguous and recommend how to structure a single page to serve multiple intents without diluting relevance.

Before building out new content we audit your existing pages for cannibalisation: multiple pages targeting the same or very similar keywords and splitting ranking signals between them. We use Search Console performance data to identify where two or more pages are alternating in rankings for the same query, and we recommend whether to consolidate, redirect, or differentiate the competing pages.

For domains with low authority we prioritise long-tail keywords under 200 monthly searches with low keyword difficulty. These rank faster, build topical authority, and compound. One client ranked for 22 long-tail terms in month three that collectively drove more leads than any broad term they had been targeting for two years. Long-tail terms also convert at higher rates because the search intent is more specific and the searcher is further along in their buying journey.

We adjust raw monthly search volume figures for seasonality using Google Trends data before finalising keyword priorities. A keyword showing 500 average monthly searches may peak at 3,000 in a specific month and drop to 50 in others. Misjudging seasonality leads to content going live after peak demand and sitting unused until the following year.

The keyword architecture becomes a 12-month content calendar with page type, target keyword cluster, estimated traffic potential, and internal linking destinations mapped for each piece. Nothing goes into production without a clear place in the architecture. Publication sequencing follows topical authority logic: pillar pages publish first, supporting articles follow in a planned sequence that builds cluster depth before Google is asked to rank the pillar for competitive terms.