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Agent Context Files

Structure the files a long-running agent reads so its instructions stay current instead of going stale.

Skunky: Local-First Compartmentalized LLM Work

Hand bounded, sanitized work to untrusted LLM workers without exposing raw project files, identifiers, local paths, or secrets.

Branded ECharts Visualizations

Turn your brand's colours + fonts into polished, on-brand Apache ECharts charts — bar, line, pie, heatmap, radar, dashboards — rendered to SVG + PNG.…

Auditing a Page's Extractable Units

Inventories the liftable blocks on a page — direct answer, definition, list, table, Q&A — so you know how many ways AI can quote it.

Optimizing for People Also Ask

Maps the related follow-up questions a page should answer and flags the gaps, so you capture the whole question cluster.

Structuring Comparison Tables for Extraction

Validates that a comparison table has enough options, enough attributes, and no empty cells — the form AI lifts for 'X vs Y'.

Writing Definitions AI Will Quote

Checks that a definition is self-contained, leads with the term, and is the right length to be lifted verbatim by AI.

Log-File Analysis for Crawl Insights

Summarizes which pages bots actually crawl and how often — ground truth that no rendered report gives you.

Managing Redirects & Status Codes

Detects redirect chains and loops that waste crawl budget and break the path between a link and your content.

Fixing JavaScript Rendering for Crawlers

Decides whether a page needs SSR or prerendering by checking if its critical content is locked behind JavaScript.

Auditing Core Web Vitals for AI & Search

Checks LCP, INP, and CLS against the pass thresholds — because slow, unstable pages get crawled less and rank worse.

Measuring Content Refresh Impact

Quantifies before/after traffic lift from a refresh so you know which refreshes worked and which pages need more.

Running a Historical Optimization Refresh

A step-complete playbook for refreshing a decaying page so the update is thorough and actually counts.

Consolidating Cannibalizing Content

Finds pages competing for the same search intent and plans the consolidation that concentrates authority on one.

Auditing Content Freshness Signals

Checks the signals that tell crawlers and AI engines a page is current — dateModified schema, visible dates, real body updates, sitemap lastmod.

Detecting Index Bloat & Pruning

Finds indexed pages with no traffic, no links, and no strategic value — the bloat to prune so your good pages rank.

Managing Crawl Budget at Scale

Prioritizes which pages crawlers spend budget on, so your most valuable pages get crawled and refreshed first.

Validating Data Quality for Programmatic SEO

Gates each source data row for completeness and freshness so only quality rows become pages.

Designing a Programmatic SEO Template

Validates a pSEO template is publish-ready — unique value, enough dynamic fields, unique titles, a real data source — before it scales.

Tracking Citation Position & Prominence in AI Answers

Scores not just whether you're cited but how prominently — earlier, higher-placed citations carry more influence.

Attributing Conversions to AI Channels

Applies last-non-direct attribution across journeys so AI-driven conversions stop hiding in your direct bucket.

Benchmarking AI Share-of-Voice Against Competitors

Ranks your brand against competitors by AI share-of-voice per engine, so visibility becomes a competitive scoreboard.

Building an AI Visibility Dashboard

Defines the KPIs a credible AI-visibility dashboard must cover and checks yours isn't missing the metrics that matter.

Implementing Article & Author (E-E-A-T) Schema

Adds Article + named-Author schema so AI can attribute authorship and experience — the E-E-A-T signals it rewards.

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