# SEO Competitor Gap Analyzer - AI Content Gap Finder (`fetchcraft/seo-competitor-gap`) Actor Find SEO content gaps versus competitors using AI. Crawls your sitemap and up to 5 competitor sitemaps, diffs topic coverage, returns target keywords with search-volume bands, word counts, and rationale per gap. Bring your own LLM key. Pay per competitor analyzed. - **URL**: https://apify.com/fetchcraft/seo-competitor-gap.md - **Developed by:** [Emily Ward](https://apify.com/fetchcraft) (community) - **Categories:** SEO tools, AI, Marketing - **Stats:** 2 total users, 1 monthly users, 78.6% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $500.00 / 1,000 competitor analyseds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## SEO Competitor Content Gap (AI) **Drop in your site URL + up to 5 competitor URLs. Get back the exact topical gaps with suggested post titles, target keywords, and word counts. Powered by Claude Sonnet 4.6.** ### Why this exists Ahrefs charges $99 to $999 per month to do this. SEMrush charges $129 to $499. You use the feature once a quarter. This actor charges $0.50 per competitor analysed. No subscription. No annual contract. ### What you get back per competitor | Field | Description | | --- | --- | | `competitor_url` | URL analysed | | `your_topic_count` | Topic slugs found on your site (from sitemap) | | `competitor_topic_count` | Topic slugs found on competitor (from sitemap) | | `overlap_count` | Slugs you both cover | | `gaps_count` | Slugs only the competitor covers, after AI filtering | | `top_gap_title` | The single highest-priority post title to write | | `gaps[]` | Full ranked list of gaps | Each gap object includes: - `source_slug` (the exact competitor URL slug) - `suggested_post_title` (sharper than the competitor's, often as a question or contrarian angle) - `target_keyword` - `estimated_search_volume_band` (low / medium / high) - `recommended_word_count` (800 to 3000) - `primary_intent` (informational / transactional / navigational / commercial) - `rationale` (one sentence on why this gap matters) ### Pricing **$0.50 USD per competitor analysed.** You only pay for successful analyses. Failed sites (no sitemap, blocked, error) are not charged. | Use case | Competitors | Cost | | --- | --- | --- | | Single competitor check | 1 | $0.50 | | Quarterly competitive review | 5 | $2.50 | | Annual industry scan | 20 | $10.00 | Compare to Ahrefs Standard at $179/mo or SEMrush Guru at $229/mo. ### How it works 1. Sitemap-first extraction: fetches `/sitemap.xml`, follows nested sitemap indexes, falls back to homepage link crawl if no sitemap. 2. Slug-based topic comparison: extracts the meaningful slug from each URL (last path segment, cleaned). 3. Set diff: identifies slugs unique to the competitor. 4. AI ranking: Claude Sonnet 4.6 filters out low-value slugs (login, terms, tags), prioritises matches with your target audience, and suggests sharper post titles than the competitor uses. ### Inputs - **your_url**: your homepage URL - **competitor_urls**: array of up to 5 competitor homepage URLs - **your_target_audience**: one paragraph describing who you write for. The AI uses this to prioritise gaps that matter for your audience. - **max_pages_per_site**: default 60. Higher = more coverage but slower and more compute. - **max_concurrency**: default 2. Number of competitors processed in parallel. ### Use cases - Quarterly content strategy: pick your top 5 competitors, get a 50-gap ranked backlog. - New-site launch: see what the category leader covers that you do not. - Agency client onboarding: ship the gap report as a $500 deliverable, spend $2.50 to make it. - Programmatic SEO planning: pull 100s of competitor slugs and prioritise which to write first. ### What this actor does NOT do - It does not check search volume against Google. Use Ahrefs or Keyword Planner for hard volume numbers. The `estimated_search_volume_band` is an AI estimate, not a measured value. - It does not write the posts. Pair this with your existing AI writing workflow. - It does not crawl behind authentication. Public sitemaps only. - It does not check current rankings. Use a rank tracker for that. ### Tags `seo` `content-marketing` `competitor-analysis` `ai` `claude` `keyword-research` `content-strategy` `b2b` `saas` ### Companion actors - **[AI Sales Personalizer](https://apify.com/fetchcraft/ai-sales-personalizer)** ($0.15/result). Use the gaps surfaced here to drive personalized outbound to the prospect's competitive set. - **[Cold Email Rewriter](https://apify.com/fetchcraft/cold-email-rewriter)** ($0.10/rewrite). Reference a gap-filled blog post in the cold-email outreach. - **[LinkedIn Post Personalizer](https://apify.com/fetchcraft/linkedin-post-personalizer)** ($0.10/opener). Use the gap insights as a hook in LinkedIn DMs to the competitor's customer base. --- Made with Claude Sonnet 4.6 by Emily Ward, Cancel Costs. ### Integrations This actor works out of the box with every Apify-supported integration: - **API**: call via Apify API or any official SDK (Python, JavaScript, PHP, .NET). Returns a clean dataset URL. - **Schedule**: set a daily, weekly, or custom cron cadence in Apify Console. Combine with `notification` for fresh feeds. - **Webhooks**: wire `ACTOR.RUN.SUCCEEDED` to Slack, Discord, Zapier, Make, n8n, Pipedream, or any HTTPS endpoint. - **MCP**: this actor is discoverable through Apify's hosted MCP server at `mcp.apify.com` for Claude, Cursor, Cline, Windsurf, and other MCP clients. - **n8n / Make / Zapier**: native HTTP-Request integration. Trigger the actor on schedule, pipe results to Google Sheets, Airtable, your CRM, or any database. ### Try it free Every Apify user gets **$5/month in free platform credits** (around 250 events at this actor's per-event price). Run preview mode first to confirm output shape before scaling. New to Apify? [Sign up here](https://apify.com/sign-up?fpr=fetchcraft) to get free credits on signup. ### What's New - 2026-06-03: Metadata, categories, and SEO refreshed. Latest version live on Apify Store. ### Last Updated 2026-06-03 # Actor input Schema ## `your_url` (type: `string`): Your homepage URL. We crawl its sitemap to extract your topic coverage. ## `competitor_urls` (type: `array`): Up to 5 competitor homepage URLs. We crawl each one's sitemap and diff against yours. ## `your_target_audience` (type: `string`): Who do you write content for? Role, company size, what they search for. The AI prioritises gaps relevant to this audience. ## `max_pages_per_site` (type: `integer`): Maximum sitemap URLs to ingest per site. Higher = more coverage but slower. ## `max_concurrency` (type: `integer`): How many competitors to analyse in parallel. ## `llm_provider` (type: `string`): Pick which LLM you want. Gemini is recommended (1500 free requests/day at https://aistudio.google.com/apikey). Groq also good (14400 free/day at https://console.groq.com/keys). Leave blank to use the actor owner's configured key (if any). ## `llm_api_key` (type: `string`): Paste the API key for the provider you selected. Never leaves the Apify run, never logged. Free tier providers (Gemini, Groq) give thousands of free results per day. ## Actor input object example ```json { "your_url": "https://www.cancelcosts.com", "competitor_urls": [ "https://www.smartlead.ai", "https://www.lemlist.com" ], "your_target_audience": "B2B SaaS founders and SDR teams looking to cut cold-outreach tooling spend.", "max_pages_per_site": 60, "max_concurrency": 2, "llm_provider": "" } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "your_url": "https://www.cancelcosts.com", "competitor_urls": [ "https://www.smartlead.ai", "https://www.lemlist.com" ], "your_target_audience": "B2B SaaS founders and SDR teams looking to cut cold-outreach tooling spend." }; // Run the Actor and wait for it to finish const run = await client.actor("fetchcraft/seo-competitor-gap").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "your_url": "https://www.cancelcosts.com", "competitor_urls": [ "https://www.smartlead.ai", "https://www.lemlist.com", ], "your_target_audience": "B2B SaaS founders and SDR teams looking to cut cold-outreach tooling spend.", } # Run the Actor and wait for it to finish run = client.actor("fetchcraft/seo-competitor-gap").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "your_url": "https://www.cancelcosts.com", "competitor_urls": [ "https://www.smartlead.ai", "https://www.lemlist.com" ], "your_target_audience": "B2B SaaS founders and SDR teams looking to cut cold-outreach tooling spend." }' | apify call fetchcraft/seo-competitor-gap --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetchcraft/seo-competitor-gap", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEO Competitor Gap Analyzer - AI Content Gap Finder", "description": "Find SEO content gaps versus competitors using AI. Crawls your sitemap and up to 5 competitor sitemaps, diffs topic coverage, returns target keywords with search-volume bands, word counts, and rationale per gap. Bring your own LLM key. Pay per competitor analyzed.", "version": "0.1", "x-build-id": "mfNXRMNLoh4qbUGNC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetchcraft~seo-competitor-gap/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetchcraft-seo-competitor-gap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fetchcraft~seo-competitor-gap/runs": { "post": { "operationId": "runs-sync-fetchcraft-seo-competitor-gap", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fetchcraft~seo-competitor-gap/run-sync": { "post": { "operationId": "run-sync-fetchcraft-seo-competitor-gap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "your_url", "competitor_urls", "your_target_audience" ], "properties": { "your_url": { "title": "Your site URL", "type": "string", "description": "Your homepage URL. We crawl its sitemap to extract your topic coverage." }, "competitor_urls": { "title": "Competitor URLs", "type": "array", "description": "Up to 5 competitor homepage URLs. We crawl each one's sitemap and diff against yours.", "items": { "type": "string" } }, "your_target_audience": { "title": "Your target audience (one paragraph)", "minLength": 20, "maxLength": 1500, "type": "string", "description": "Who do you write content for? Role, company size, what they search for. The AI prioritises gaps relevant to this audience." }, "max_pages_per_site": { "title": "Max pages per site", "minimum": 10, "maximum": 300, "type": "integer", "description": "Maximum sitemap URLs to ingest per site. Higher = more coverage but slower.", "default": 60 }, "max_concurrency": { "title": "Max parallel competitors", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many competitors to analyse in parallel.", "default": 2 }, "llm_provider": { "title": "LLM provider (bring your own key)", "enum": [ "", "gemini", "groq", "cerebras", "openrouter", "huggingface", "anthropic" ], "type": "string", "description": "Pick which LLM you want. Gemini is recommended (1500 free requests/day at https://aistudio.google.com/apikey). Groq also good (14400 free/day at https://console.groq.com/keys). Leave blank to use the actor owner's configured key (if any).", "default": "" }, "llm_api_key": { "title": "Your LLM API key (paired with llm_provider above)", "type": "string", "description": "Paste the API key for the provider you selected. Never leaves the Apify run, never logged. Free tier providers (Gemini, Groq) give thousands of free results per day." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```