A deep-research protocol for turning a backlink gap export into page-level outreach targets, not just competitor domains.
- Inputs: backlink gap data, your URLs to promote, your niche or value proposition
- Finds the exact page on each domain worth targeting via site: searches
- Hunts down the real contact, an author or editor, via search patterns and LinkedIn
- Drafts a 150-200 word personalized outreach email referencing their exact article
- Output: domain, their page URL, your URL, link context, email copy, and contact
Give it the type of site, why the same content is reachable through multiple URLs (tagging, filtering, tracking parameters), and the CMS or platform in use, and it returns ready-to-paste canonical tag code for that exact stack.
A follow-up pass lists common implementation pitfalls, like self-referencing errors and conflicting canonicals, so you can sanity-check the fix, and flags when a permanent redirect is the better call instead of a canonical tag.
Takes a raw keyword export CSV with search volumes plus your current site structure and turns it into page-ready clusters instead of a flat keyword list. It groups semantically related terms, maps each cluster to an existing page or flags where a new page is needed, and scores opportunity by combined volume, competition, and business relevance. The output also flags cannibalization risk between overlapping clusters and ranks the top five clusters worth pursuing first.
Compares your full content inventory against a competitor's to surface exactly what they cover that you don't, beyond a single-keyword check.
- Inputs: your content inventory, the competitor's content inventory, and target audience
- Flags missing topics, differing angles on shared subjects, and content formats you lack
- Analyzes depth, meaning where competitors go further into a topic than you do
- Delivers a priority gap list ranked by opportunity plus a content creation roadmap
- Pairs well with the single-keyword Google first-page gap analysis for a narrower view
A fast, beginner-friendly gap check for one named competitor: feed in your blog link, niche, and the competitor's name and URL, and it lists the topics and subtopics they cover extensively that your blog hasn't touched yet.
A follow-up question prioritizes those gaps by search volume and user intent and recommends which content formats would work best for the highest-priority topics, delivered as a table. Needs a browsing-enabled model since it has to actually read the competitor's site.
A long, strategist-level competitive audit that goes past topic lists into how competitors structure content pillars and engagement psychology.
- Inputs: competitor content, your content, target market profile, industry sector, business objectives, audience segments
- Analyzes content pillars, audience targeting, and persuasion tactics
- Scores content depth and unique value proposition per competitor
- Outputs an executive summary, a gap-and-opportunity matrix, and a phased 0-3/3-6/6-12 month roadmap
- Best run against a handful of real competitor URLs, not an entire market
Reverse-engineers a competitor's product features straight from their URL structure and site architecture, without needing screenshots or a product tour. Feed it the competitor's URLs or a CSV export, their domain, and your own current feature set, and it returns a feature inventory table listing each feature's name, URL pattern, likely value proposition, the user need it serves, implementation complexity, and a priority score. Treat the results as a hypothesis list to validate manually, since it infers functionality from URLs alone.
For when several pages are competing for the same topic: paste in the content, URLs, and current ranking data for each overlapping page, and it produces a redundancy matrix showing overlap percentages between them.
It then recommends which pages to merge, keep, or delete, picks the canonical page to preserve SEO value, and maps out a content migration path with a redirect plan and expected SEO impact. Run it before any large-scale migration or content pruning pass.
Audits a single published page for three specific gaps: missing internal links, missing visual content, and poor scannability. Given the page content, target keywords, and optional competitor examples, it returns internal link opportunities with suggested anchor text, spots where images, charts, or video would help, scannability fixes for weak sections, and where to add takeaway summaries, all ranked into an implementation priority order. Pair it with the internal-link anchor text optimizer to turn flagged opportunities into finished anchors.