codextde/autoseo

Set up AI visibility tracking for a project — the prompts buyers ask AI assistants, tags, and the competitors to benchmark — using prompt research and the project's context.

Report how visible a brand is in AI assistant answers (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude…): KPIs and trend, competitors, cited sources, sentiment, and the next actions.

Map SEO market leaders, winning content themes, keyword coverage, backlinks, and strategic gaps.

Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.

Find where competitors are named or cited in AI assistant answers and the brand is missing — prompts, cited sources and head-to-head claims — and turn the biggest gaps into actions.

Turn AI query fan-outs, prompts where the brand is invisible, and cited-source patterns into a prioritized content plan — optionally drafting briefs with AutoSEO's content generator.

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

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

Find link prospects, discover contact paths, and draft outreach from SERPs and backlink signals.

Audit a Google Business Profile, compare it to local competitors, and map Maps visibility around a location.

Review how AI assistants describe the brand — sentiment score, what they praise and criticise, head-to-head claims — with quotes and concrete fixes.

Audit a website, investigate its real search opportunities, and deliver a short data-backed report on the few changes most likely to grow organic traffic that converts.

Enter a friendly AutoSEO coach mode that explains workflows, recommends next steps, and helps users use agents, web search, scraping, and MCP data effectively.

Populate a project's shared AutoSEO context — site scope, goals, positioning, competitors, key pages, and preferences — plus MCP checks and Search Console / Google Analytics intake.

Write and save an AutoSEO report as one self-contained HTML page. Use when a skill has finished its research, and whenever the user asks for a report, check-in, or summary, or names a report template.

Turn a rough bug report, feature request, support note, or pull request into a short, plain-language issue focused on the problem and desired behavior. Use when a contributor asks to simplify an issue, explain what a PR is for, create the corresponding issue for a PR, remove implementation detail from a report, or invokes /simple-issue-description.

Find the third-party pages AI assistants cite most for the brand's topics, check whether the brand is listed there, and plan outreach to get included.