Keyword Research

Builds a prioritized keyword list for technical search queries (error strings, "how to X in Y" tasks, integration intents, comparisons, migrations) mined from docs search logs, support tickets, issue trackers and first-party query data rather than keyword-tool volume.

Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy.

Discover keyword opportunities, evaluate metrics and SERPs, and save/tag promising terms.

Strategic SEO planning for new or existing websites.

Cluster keywords by SERP overlap and design hub-and-spoke content architecture with internal links.

Build a prioritized keyword list for a website, topic, or campaign.

Cluster keywords by intent and map them to existing or proposed pages.

SEO strategy and optimization - keyword research, on-page SEO, technical audits, content optimization, and rank tracking

Analyzes keyword usage in provided content, calculates density, suggests semantic variations and related terms based on the topic.

SEO keyword clustering with topic organization, content hub architecture, internal linking strategies.

Research, expand, and cluster keywords for content strategy.

The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content recommendations.

Monitor keyword rankings with drop alerts and SERP features.

Build a content cluster plan from seed keywords: intent-grouped clusters, pillar+spokes architecture with H1/H2 suggestions per spoke, prioritised build order, and an internal-linking map.

Mine longtail keywords + question keywords for a topic at scale to surface niche content opportunities.

Know what queries drive traffic to your site, which pages are indexed, click-through rates, organic search performance, or technical indexing issues.

Analyzes an app's codebase and cross-references Google Search Console, PostHog, and Google Keyword Planner to identify low-competition keyword footholds and track expansion into adjacent terms.

Use it when you want the best untapped keywords for an app tracked in ASOScan (gap-scored suggestions ranked by opportunity score, each showing which competitors already rank for the term).

Nexscope Ozon keyword reverse lookup: reverse-looks up Ozon (and Wildberries) search keywords by a list of product SKUs (up to 20), returning which search terms those products appear under (organic/ad search terms), with multi-dimensional filtering by search volume, growth, product count, seller count, competitor count, natural rank, ad rank, exposure, conversion, cart-add conversion, etc.

Covers seed expansion, intent classification, clustering, entity/topic research, platform field translation for Etsy, Amazon, Shopify, SaaS/content sites, long-tail marketplace strategy, marketplace semantic-intent (Amazon COSMO/Rufus) chec

Find queries where two or more of your own pages split Google impressions, from a Google Search Console query+page export, and rank them HIGH/MEDIUM/LOW.

Group a keyword list into topic clusters with a pillar keyword, majority search intent and suggested page type, so one page targets each cluster.