Analyze website technical readiness and visibility within AI search engines. Audit schema markup, robots.txt, and llms.txt configurations to verify AI crawler access, while scanning content for specific citations and mentions across major LLM platforms.

Track client website visibility and performance metrics within Large Language Model outputs.

Analyze daily Google Ads performance trends by processing CSV exports containing granular keyword data. Evaluate weighted metrics including Quality Score, expected CTR, and ad relevance alongside standard impression and click volumes.

Aggregate and analyze raw Google Ads search term reports to consolidate performance data across multiple campaigns and match types.

Analyze historical Google Keyword Planner data to identify market trends and year-over-year growth rates. The tool aggregates search volume from uploaded CSV files to track consumer language shifts and isolate rising or falling keywords over a 24-month period.

Validate current Google Ads spend by matching search terms from recent reports against historical conversion data. Identify whether active budget is allocated to terms with a proven history of conversion or to unverified queries.

Analyze any company's Meta or LinkedIn advertising. See actual reach data, estimate ad spend, and discover top-performing ads based on official EU transparency data.

Measure organic search interest share against competitors using Google Ads Keyword Planner volume data. Compare market performance across up to four countries simultaneously and track brand momentum trends over a 36-month historical window.

Correlate entities with organic search metrics by processing Ahrefs keyword exports. Analyzes CSV data containing Keyword, Entities, Volume, and Current URL columns to identify correlatin between entities.

Cluster keywords by semantic intent using LLM. Process raw keyword lists or volume data to automatically clean, deduplicate, and organize terms into parent categories and specific page intents. Export structured hierarchies to CSV for site architecture planning.

Map source URLs to target URLs using a prioritized hierarchy of exact path, ID/SKU, and metadata matching. Leverage LLM capabilities to semantically analyze body content for ambiguous links, automatically applying category or homepage fallbacks where necessary.

Audit website tracking implementations to verify Google Consent Mode v2 compliance and identify server-side tagging gaps. Assess the impact of tracking scripts on Core Web Vitals across platforms like GTM, GA4, Meta, and LinkedIn.