'keywords' 검색 결과

Use AltoRank to check whether search engines and AI assistants can read a site, review stored Search Console data, research keywords, and create SEO article drafts. Drafts enter a review queue where a person decides what to publish.

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• Check a site's readiness for search engines and AI assistants
• Review stored Search Console performance and coverage data
• Research keywords for future articles

Find relevant QwenPaw documentation and source files for questions about setup, configuration, skills, memory, and other features. It maps question keywords to likely file paths so the agent can read and verify the right material.

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• Find documentation for installation or configuration questions
• Locate source files related to skills or memory
• Identify where to investigate errors or CLI behavior

Review a resume against a job description to identify missing keywords and formatting that applicant tracking systems may struggle to read. Get a keyword match score and specific suggestions for wording, placement, and layout.

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• Check resume formatting before applying
• Compare resume keywords with a job description
• Revise a resume for a career change

Group keywords by what searchers want and assign each group to an existing or proposed page. Produce a page map, priorities, and content briefs, while checking whether multiple pages compete for the same searches.

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• Mapping keyword lists to pages
• Planning new pages and updates
• Checking competition between pages on the same site

Turn topics, products, or audience problems into a prioritized keyword list. Compare search volume, ranking difficulty, search intent, and search results to recommend target terms and pages, with optional saving and tagging after confirmation.

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• Finding target keywords for a new topic
• Prioritizing queries already close to strong rankings
• Researching keyword demand in a specific region

Review daily Google Ads and Meta Ads results for budget pacing, declining performance, and unusual activity. Get prioritized findings with supporting numbers and concrete recommendations for a marketing team to assess and carry out.

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• Checking whether campaign budgets are being spent on schedule
• Investigating rising acquisition costs or falling ad returns
• Finding ads and keywords that spend without converting

Turn Matomo analytics into reports on organic traffic, landing pages, devices, countries, referrers, and search keywords. Use data from a self-hosted instance or Matomo Cloud to support reporting alongside GA4 or as an alternative.

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• Review organic traffic trends in Matomo
• Identify popular landing pages
• Compare visits by device, country, and referrer

Use Ahrefs through Composio to research keywords, inspect backlinks, review organic search rankings, and track domain metrics over time. Compare SEO performance across competitors or site sections with batch analysis of up to 100 URLs.

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• Inspecting backlinks and referring domains
• Finding keyword ideas with search volume and difficulty
• Comparing organic search rankings across dates

Create a resume tailored to a specific job posting by matching requirements with relevant experience and achievements. Adjust keywords for applicant tracking systems, software used to manage applications, and identify strengths and qualification gaps.

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• Tailor an existing resume to a job posting
• Highlight transferable experience for a career change
• Adjust resume keywords for applicant tracking systems

Use Chainbase CLI to investigate blockchain records, including token holders, prices, wallet activity, and DeFi positions. Use Tops to discover trending crypto topics, inspect related posts, and track recent Twitter/X mentions of projects or keywords.

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• Check major token holders and transfer history
• Review wallet balances and DeFi positions
• Run custom SQL queries on blockchain records

Find YouTube channels by keyword and collect channel names, links, subscriber counts, descriptions, and verification status through the BrowserAct API. Filter by recent uploads to research competitors, discover creators, or compile a channel database.

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• Finding creators in a specific niche
• Collecting competitor channel information
• Finding recently active channels for partnerships

Collect Reddit posts and comments through the BrowserAct API using keywords, date filters, and sorting options. Results include votes, authors, timestamps, and reply relationships, providing structured source data for competitor research and reviews of community feedback.

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• Collecting Reddit mentions of competitors
• Gathering comments about a brand’s reputation
• Researching user feedback on products and topics

Collect structured Google Images search results through the BrowserAct API. Set keywords, country, language, scrolling, and result limits to obtain titles, thumbnail URLs, source names, source logos, and destination links for visual research.

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• Find visual references for a topic
• Research competitor product imagery
• Compare image results across countries and languages

Collect structured YouTube search results for videos, Shorts, channels, or playlists. Retrieve titles, displayed view counts, publication times, and URLs to build topic lists, research competitors, or gather tutorial resources.

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• Collect videos about a specific topic
• Research channels in a niche
• Compare view counts across keyword searches

Gather structured product data from Amazon search results using keywords, a brand filter, and a product limit. Collect prices, ratings, review counts, availability, and delivery details for market research or product catalog preparation.

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• Research products from a specific brand
• Compare prices and purchase availability
• Collect ratings and review counts for competitor research

Analyze an Amazon competitor by ASIN, its product identifier, using listing text, keywords, images, and reviews. Identify competitor strengths and unmet buyer needs, then turn those findings into positioning and product opportunities for your brand.

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• Analyze a competitor's titles and selling points
• Review keyword placement across a listing
• Find unmet buyer needs in reviews

Extract Amazon search results with product titles, prices, ratings, identifiers, and available specifications. Set keywords, brand, page count, and browsing language to gather structured information for market research, competitor comparisons, and product catalog updates.

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• Comparing prices across competing brands
• Researching highly rated products by keyword
• Adding product identifiers and attributes to a catalog

Find key figures in tabular data using column names or row keywords, calculate category averages and percentages, and export the results as a structured Excel report and a pie chart.

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• Find figures using keywords in rows
• Calculate averages for a selected category
• Calculate one figure as a percentage of another

Review Google Ads search term reports to find converting queries without dedicated keywords. Group opportunities by theme and estimate volume and cost per conversion, with suggested matching settings, starting bids, and exclusions to reduce overlap.

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• Monthly reviews to expand advertising keywords
• Finding keyword opportunities when search campaign growth stalls
• Exploring search demand after a product or feature launch

Tailors resumes to a target job description by checking keyword coverage, rewriting experience around context, actions, and measurable results, and reviewing compatibility with applicant tracking systems, software used to process applications. Outputs recommendations and revised resume text.

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• Tailoring a resume to a specific job opening
• Checking missing keywords against a job description
• Rewriting experience with measurable results

Use when the user asks to "mine my search terms", "find new keywords from converting queries", "build a negative-keyword list", or "cut wasted paid spend"; harvests converting queries into new keywords/ad-groups, builds a standing negative-keyword list and an n-gram waste report from the search-terms export, and delivers a maintenance diff (add / negate / move). Not for account structure — use campaign-architect; not for budget split — use budget-optimizer; not for computing the final RQS — use ad-account-auditor. 付费广告搜索词挖掘/否定关键词/浪费词清单

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Detect keyword cannibalization across blog posts by extracting primary keywords from titles and headings, clustering semantically similar targets, and flagging posts competing for the same search intent. Supports local-only mode (grep-based) and DataForSEO API mode (Page Intersection endpoint at ~$0.01/call). Outputs severity-scored report with merge or differentiate recommendations. Use when user says "cannibalization", "keyword overlap", "competing pages", "duplicate keywords", "cannibalize".

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Turn new AI names or unstructured AI market signals into a keyword priority table. For each name it finds the generic search terms downstream of it, screens them for relevance, and checks novelty, demand size and momentum against Google Ads volume and Google Trends, ending in prioritize, watch or skip. Use when the user has new model, product or repository names (or an AI listening report, a batch of posts, a changelog) and asks which keywords to build pages or tools for. Runs the new-term-radar command line; needs an AISA_API_KEY, and a GOANYAPI_API_KEY improves it.

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Run keyword research, classify by search intent, cluster into topical groups, and prioritize for content production. Use this skill whenever the user asks to do keyword research, find target keywords, identify ranking opportunities, classify search intent, build a topical map, or plan a content strategy around what people search for. Triggers on keyword research, keyword strategy, search intent, keyword clustering, topic clusters, keyword difficulty, search volume, ranking opportunity, content gap, what should I write about, target keyword, primary keyword, secondary keyword, long-tail. Also triggers when planning a content calendar or new site without keywords yet defined.

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