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.
Runs an existing page through a four-stage query fan-out analysis to find every related question it should be answering but isn't.
- Inputs: existing content, primary topic/keyword, target audience, content goal
- Extracts entities and themes, then maps likely user queries per theme
- Scores each query as fully, partially, or not addressed, with a 1-10 depth rating
- Splits gaps into critical, opportunity, and enhancement tiers
- Rebuilds the piece as a 20-25 heading outline flagging new gap-filling sections
Diagnoses why a specific CTA or form is underperforming by reviewing the current CTA copy, form fields, funnel steps, and any drop-off data you can supply.
It returns three rewritten CTA variations per button, a keep/remove/modify audit of each form field, micro-copy fixes, a friction score per element, progressive disclosure ideas, and an expected conversion lift estimate. Works even without drop-off data, since it still flags obvious friction from the funnel description alone.
Scores a piece of content against Google's Experience, Expertise, Authoritativeness, and Trustworthiness framework, using the content itself plus author bio and website context as inputs. It returns a scorecard rating each E-E-A-T element as present, weak, or strong with specific evidence pulled from the text, a ranked list of priority improvements, and concrete implementation examples for the top three fixes, such as adding a credentialed author bio. Apply the stricter YMYL standard whenever the topic touches health, finance, or legal advice.
A pre-publish QA pass for AI-assisted or human drafts, checking the things a spellchecker won't catch.
- Inputs: draft content, target keywords, brand guidelines, and source materials to fact-check against
- Flags potential AI hallucinations, unsupported claims, and factual inaccuracies
- Runs a citation audit for missing or needed sources
- Checks style consistency and brand voice alignment
- Outputs an originality score with flagged passages plus a prioritized list of revisions
- Run in deep-research mode so claims get checked against the actual source materials