{ "edges": [ { "to": "4ac523fc-0ddf-42a0-b797-7c050bbd9b9e", "from": "2ea4072f-acf6-4c7f-98af-abd531ab0a68", "toPort": "0", "fromPort": "0" }, { "to": "9aae62eb-881d-4ba0-93ee-4ddf2624b6a1", "from": "9b4fde9e-5d58-4762-8dc2-b53eff25e1ca", "toPort": "0", "fromPort": "0" }, { "to": "461dc0fa-29ed-4162-8b44-44678b3405a9", "from": "c96ed505-2b84-4bf3-8e38-e9701f6f7886", "toPort": "0", "fromPort": "0" }, { "to": "2ea4072f-acf6-4c7f-98af-abd531ab0a68", "from": "606c9887-c104-4f5c-8b44-f21f55db5f06", "toPort": "0", "fromPort": "0" }, { "to": "c022594f-0f11-4b01-9422-5c44369f8b46", "from": "6376bb20-06e3-4ae3-9d61-28ba339555d0", "toPort": "0", "fromPort": "0" }, { "to": "9b4fde9e-5d58-4762-8dc2-b53eff25e1ca", "from": "4ac523fc-0ddf-42a0-b797-7c050bbd9b9e", "toPort": "0", "fromPort": "0" }, { "to": "c96ed505-2b84-4bf3-8e38-e9701f6f7886", "from": "4ac523fc-0ddf-42a0-b797-7c050bbd9b9e", "toPort": "0", "fromPort": "1" }, { "to": "606c9887-c104-4f5c-8b44-f21f55db5f06", "from": "c022594f-0f11-4b01-9422-5c44369f8b46", "toPort": "0", "fromPort": "0" }, { "to": "ab2ba7f5-9d82-4c06-9350-132522dfbf79", "from": "461dc0fa-29ed-4162-8b44-44678b3405a9", "toPort": "0", "fromPort": "0" }, { "to": "e224592f-fecb-414e-a598-e3bdfc326afe", "from": "8778a112-c980-4c2f-a14c-ec98d8152a75", "toPort": "0", "fromPort": "0" }, { "to": "4ac523fc-0ddf-42a0-b797-7c050bbd9b9e", "from": "7c4cdb90-cb54-4893-9e27-8002af3c4320", "toPort": "0", "fromPort": "0" }, { "to": "7c4cdb90-cb54-4893-9e27-8002af3c4320", "from": "e0a12b7c-151e-4b52-ae88-06630ad4348a", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "8778a112-c980-4c2f-a14c-ec98d8152a75", "from": "9aae62eb-881d-4ba0-93ee-4ddf2624b6a1", "toPort": "0", "fromPort": "0" }, { "to": "9aae62eb-881d-4ba0-93ee-4ddf2624b6a1", "from": "8df1f5a1-927a-4397-bc4a-60d261d3bf12", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "7c4cdb90-cb54-4893-9e27-8002af3c4320", "from": "ab2ba7f5-9d82-4c06-9350-132522dfbf79", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "6376bb20-06e3-4ae3-9d61-28ba339555d0", "name": "JotForm Trigger", "type": "integration", "params": { "form": "=", "service": "jotformtrigger", "operation": "run", "__originalType": "n8n-nodes-base.jotFormTrigger" }, "position": [ 1296, 272 ] }, { "id": "c022594f-0f11-4b01-9422-5c44369f8b46", "name": "Code in JavaScript", "type": "code", "params": { "jsCode": "const items = $input.all();\n\nreturn items.map(item => {\n let website = item.json[\"Company Website\"] || \"\";\n\n // Clean whitespace\n website = website.trim();\n\n // Add protocol if missing\n if (!website.startsWith(\"http://\") && !website.startsWith(\"https://\")) {\n website = \"https://\" + website;\n }\n\n try {\n const url = new URL(website);\n let domain = url.hostname.replace(/^www\\./, \"\"); // remove \"www.\"\n\n return {\n json: {\n ...item.json,\n Domain: domain\n }\n };\n } catch (e) {\n // If not a valid URL, fallback to plain string\n const fallbackDomain = website\n .replace(/^https?:\\/\\//, \"\")\n .replace(/^www\\./, \"\")\n .split(\"/\")[0];\n\n return {\n json: {\n ...item.json,\n Domain: fallbackDomain\n }\n };\n }\n});\n" }, "position": [ 1504, 272 ] }, { "id": "606c9887-c104-4f5c-8b44-f21f55db5f06", "name": "Google search", "type": "integration", "params": { "q": "=site:{{ $json.Domain }}", "service": "serpapi", "operation": "run", "__originalType": "n8n-nodes-serpapi.serpApi", "requestOptions": {}, "additionalFields": {} }, "position": [ 1712, 272 ] }, { "id": "c96ed505-2b84-4bf3-8e38-e9701f6f7886", "name": "HTTP Request", "type": "http", "params": { "url": "={{ $json.url }}", "options": {} }, "position": [ 2544, 576 ] }, { "id": "ab2ba7f5-9d82-4c06-9350-132522dfbf79", "name": "WebpageContentExtractor", "type": "integration", "params": { "html": "={{ $json.data }}", "service": "webpagecontentextractor", "operation": "run", "__originalType": "n8n-nodes-webpage-content-extractor.webpageContentExtractor" }, "position": [ 3104, 576 ] }, { "id": "7c4cdb90-cb54-4893-9e27-8002af3c4320", "name": "Information Extractor", "type": "llm", "params": { "text": "=Company name : {{ $('JotForm Trigger').item.json['Company Name'] }}\nWebpage Content : {{ $json.textContent }}", "prompt": "=Company name : {{ $('JotForm Trigger').item.json['Company Name'] }}\nWebpage Content : {{ $json.textContent }}", "options": { "systemPromptTemplate": "=You are an expert information extraction algorithm.\nYour task is to extract only essential and relevant information about the company named \"{{ $('JotForm Trigger').item.json['Company Name'] }}\" and its context within the article text.\nIf a field or value is not available, omit it completely. Do not fabricate or infer information.\nReturn only a clean and valid JSON object following the provided schema." }, "provider": "openai", "schemaType": "fromJson", "approximated": true, "jsonSchemaExample": "{\n \"companyName\":\"11x.ai\",\n \"relatedToBrand\": \"reply.io\",\n \"isRelated\": true,\n \"relationType\": \"positioning\",\n \"reason\": \"The article mentions 11x as an AI sales automation platform and includes a demo link.\",\n \"articleGoal\": \"To compare UberConference alternatives and highlight 11x's position within the sales tools ecosystem.\",\n \"excerpt\": \"Transform your revenue team with digital AI workers that execute, learn, and optimize.\",\n \"summary\": \"The article introduces 11x as an AI-driven solution for automating sales and prospect management.\",\n \"keyPoints\": [\n \"11x positions itself as an AI sales automation platform.\",\n \"The article compares various meeting and communication tools.\",\n \"Includes a demo link to showcase 11x’s capabilities.\",\n \"Focuses on digital AI workers improving sales efficiency.\"\n ]\n}" }, "position": [ 3328, 576 ] }, { "id": "e0a12b7c-151e-4b52-ae88-06630ad4348a", "name": "OpenRouter Chat Model", "type": "llm", "params": { "model": "google/gemini-2.0-flash-exp:free", "options": {}, "provider": "openai" }, "position": [ 3328, 800 ] }, { "id": "4ac523fc-0ddf-42a0-b797-7c050bbd9b9e", "name": "Loop Over Items", "type": "passthrough", "params": { "mode": "noOp", "options": {} }, "position": [ 2128, 272 ] }, { "id": "9aae62eb-881d-4ba0-93ee-4ddf2624b6a1", "name": "Information Extractor1", "type": "llm", "params": { "text": "=companyName : {{ $json.companyName }}\nrelatedToBrand : {{ $json.relatedToBrand }}\nrelationType: {{ $json.relationType }}\nreason : {{ $json.reason }}\narticleGoal : {{ $json.articleGoal }}\nexcerpt : {{ $json.excerpt }}\nsummary : {{ $json.summary }}\nkeyPoints : {{ $json.keyPoints }}", "prompt": "=companyName : {{ $json.companyName }}\nrelatedToBrand : {{ $json.relatedToBrand }}\nrelationType: {{ $json.relationType }}\nreason : {{ $json.reason }}\narticleGoal : {{ $json.articleGoal }}\nexcerpt : {{ $json.excerpt }}\nsummary : {{ $json.summary }}\nkeyPoints : {{ $json.keyPoints }}", "options": { "systemPromptTemplate": "=You are a brand strategist.\nMerge multiple extraction results into one concise Brand DNA for the company named \"{{ $json.relatedToBrand }}\".\nReturn STRICT JSON only, no extra text. Be factual; do not invent details.\nConsolidate duplicates, remove overlap, and keep language neutral and concise.\nIf a field has no evidence, omit it entirely.\n" }, "provider": "openai", "schemaType": "fromJson", "approximated": true, "jsonSchemaExample": "{\n \"companyName\":\"\",\n \"companyDescription\": \"\",\n \"idealCustomerProfile\": [],\n \"painPoints\": [],\n \"valueProposition\": [],\n \"proofPoints\": [],\n \"reasonsToOutreach\": [],\n \"outreachChannels\": [],\n \"suggestedKeywords\": [],\n \"brandTone\": \"\"\n}" }, "position": [ 2752, -48 ] }, { "id": "8df1f5a1-927a-4397-bc4a-60d261d3bf12", "name": "OpenRouter Chat Model1", "type": "llm", "params": { "model": "google/gemini-2.0-flash-exp:free", "options": {}, "provider": "openai" }, "position": [ 2752, 112 ] }, { "id": "9b4fde9e-5d58-4762-8dc2-b53eff25e1ca", "name": "Merge Data", "type": "code", "params": { "jsCode": "// n8n Code node — Simple Combine to One\n// Combine multiple extractor results into one object without complex heuristics.\n\nconst items = $input.all();\n\n// --- CONFIG ---\nconst AS_ARRAYS = true; // true: save as array; false: join string \" | \"\nconst JOINER = \" | \"; // separator when AS_ARRAYS=false\n\n// Fields processed as \"list\" (will be merged & deduplicated)\nconst LIST_FIELDS = new Set([\n \"keyPoints\", // array\n \"relationType\", // can appear in various forms → make it a list\n \"reason\", // reasons can be more than one\n \"articleGoal\", // goals can vary between pages\n \"excerpt\", // can save all excerpts (or take first in SCALAR_PREFERS_FIRST)\n \"summary\" // can save all summaries (or take first in SCALAR_PREFERS_FIRST)\n]);\n\n// If you want some fields to remain scalar (take first), put them here:\nconst SCALAR_PREFERS_FIRST = new Set([\n \"relatedToBrand\" // take the first non-empty one\n]);\n\n// Helper\nconst norm = (v) => (v == null ? \"\" : String(v).trim());\nconst toArr = (v) => Array.isArray(v) ? v : (v == null ? [] : [v]);\nconst dedupe = (arr) => {\n const seen = new Set(); const out = [];\n for (const x of arr) {\n const s = norm(x);\n const k = s.toLowerCase();\n if (s && !seen.has(k)) { seen.add(k); out.push(s); }\n }\n return out;\n};\n\n// Extract record from various forms\nconst extractRecord = (it) => {\n if (it?.json?.output && typeof it.json.output === \"object\") return it.json.output;\n if (it?.json && typeof it.json === \"object\") return it.json;\n return {};\n};\n\n// Collect all records\nconst records = items.map(extractRecord);\n\n// Initial combination\nconst combined = {};\nlet anyRelatedTrue = false;\n\n// Loop to combine\nfor (const rec of records) {\n for (const [k, v] of Object.entries(rec)) {\n if (k === \"isRelated\") {\n if (v === true || v === \"true\") anyRelatedTrue = true;\n continue;\n }\n\n // If field is set for scalar-first → save only the first one\n if (SCALAR_PREFERS_FIRST.has(k)) {\n if (!combined[k]) {\n const val = Array.isArray(v) ? v.find(x => norm(x)) : v;\n if (norm(val)) combined[k] = norm(val);\n }\n continue;\n }\n\n // Otherwise, treat as list so all values are included\n const list = toArr(v);\n if (!combined[k]) combined[k] = [];\n combined[k].push(...list);\n }\n}\n\n// Dedupe for all fields that are lists\nfor (const k of Object.keys(combined)) {\n if (Array.isArray(combined[k]) || LIST_FIELDS.has(k)) {\n combined[k] = dedupe(toArr(combined[k]));\n }\n}\n\n// Set boolean isRelated\ncombined.isRelated = anyRelatedTrue;\n\n// Final output:\n// - If AS_ARRAYS=false → join lists into string with JOINER\nif (!AS_ARRAYS) {\n for (const [k, v] of Object.entries(combined)) {\n if (Array.isArray(v)) combined[k] = v.join(JOINER);\n }\n}\n\n// Clean empty fields\nfor (const k of Object.keys(combined)) {\n const v = combined[k];\n if (Array.isArray(v) && v.length === 0) delete combined[k];\n if (typeof v === \"string\" && !v.trim()) delete combined[k];\n}\n\nreturn [{ json: combined }];\n" }, "position": [ 2544, -48 ] }, { "id": "8778a112-c980-4c2f-a14c-ec98d8152a75", "name": "Code in JavaScript2", "type": "code", "params": { "jsCode": "// n8n Code Node — Format per-section (strings) for Notion blocks UI\n// Input: items[0].json.output\n// Output: multiple string fields: h1, h2_xxx, p_xxx (each <= ~1900 chars)\n\nconst item = $input.item;\nconst d = item.json.output || item.json || {};\n\n// Safe content limit per Notion block (~2000 chars, using 1900)\nconst LIMIT = 1900;\n\nconst clip = (s) => String(s ?? '').slice(0, LIMIT).trim();\n\n// Array → bullets in one paragraph (1 Notion block, multiline)\nfunction bulletsParagraph(arr) {\n if (!Array.isArray(arr) || !arr.length) return '- (none)';\n const lines = arr\n .filter(x => x != null && String(x).trim() !== '')\n .map(x => `• ${String(x).replace(/\\s+/g, ' ').trim()}`);\n return clip(lines.join('\\n'));\n}\n\n// Scalar → single string\nconst scalar = (s) => {\n const v = (s == null || String(s).trim() === '') ? '- (none)' : String(s);\n return clip(v);\n};\n\n// Get company name for H1 (layered fallback)\nconst companyName =\n d.companyName ||\n d.company ||\n item.json.companyName ||\n item.json['Company Name'] ||\n 'Unknown Company';\n\n// Arrange all sections as separate strings\nconst output = {\n // Main heading = Company Name\n h1: scalar(companyName),\n\n // Company Description\n h2_companyDescription: 'Company Description',\n p_companyDescription: scalar(d.companyDescription),\n\n // ICP\n h2_icp: 'Ideal Customer Profile (ICP)',\n p_icp: bulletsParagraph(d.idealCustomerProfile),\n\n // Pain Points\n h2_painPoints: 'Pain Points',\n p_painPoints: bulletsParagraph(d.painPoints),\n\n // Value Proposition\n h2_valueProposition: 'Value Proposition',\n p_valueProposition: bulletsParagraph(d.valueProposition),\n\n // Proof Points\n h2_proofPoints: 'Proof Points',\n p_proofPoints: bulletsParagraph(d.proofPoints),\n\n // Reasons to Outreach\n h2_reasonsToOutreach: 'Reasons to Outreach',\n p_reasonsToOutreach: bulletsParagraph(d.reasonsToOutreach),\n\n // Outreach Channels\n h2_outreachChannels: 'Outreach Channels',\n p_outreachChannels: bulletsParagraph(d.outreachChannels),\n\n // Suggested Keywords\n h2_suggestedKeywords: 'Suggested Keywords',\n p_suggestedKeywords: bulletsParagraph(d.suggestedKeywords),\n\n // Brand Tone\n h2_brandTone: 'Brand Tone',\n p_brandTone: scalar(d.brandTone),\n};\n\nreturn [{ json: output }];\n" }, "position": [ 3072, -48 ] }, { "id": "e224592f-fecb-414e-a598-e3bdfc326afe", "name": "Create a database page", "type": "integration", "params": { "title": "={{ $json.h1 }}", "blockUi": { "blockValues": [ { "type": "heading_2", "textContent": "={{ $json.h2_companyDescription }}" }, { "textContent": "={{ $json.p_companyDescription }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_icp }}" }, { "textContent": "={{ $json.p_icp }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_painPoints }}" }, { "textContent": "={{ $json.p_painPoints }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_valueProposition }}" }, { "textContent": "={{ $json.p_valueProposition }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_proofPoints }}" }, { "textContent": "={{ $json.p_proofPoints }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_reasonsToOutreach }}" }, { "textContent": "={{ $json.p_reasonsToOutreach }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_outreachChannels }}" }, { "textContent": "={{ $json.p_outreachChannels }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_suggestedKeywords }}" }, { "textContent": "={{ $json.p_suggestedKeywords }}" }, { "type": "heading_2", "textContent": "={{ $json.h2_brandTone }}" }, { "textContent": "={{ $json.p_brandTone }}" } ] }, "options": {}, "service": "notion", "resource": "databasePage", "operation": "read", "databaseId": "=" }, "position": [ 3280, -48 ] }, { "id": "461dc0fa-29ed-4162-8b44-44678b3405a9", "name": "Code in JavaScript1", "type": "code", "params": { "jsCode": "// n8n Code Node — Simple HTML → Clean Text Array\n// Output format: [{ \"data\": \"clean text\" }]\n\nconst items = $input.all();\n\n// Helper: remove all HTML tags, comments, and script/style\nfunction cleanHTML(html = '') {\n return html\n .replace(//g, ' ') // comments\n .replace(/)<[^<]*)*<\\/script>/gi, ' ') // script\n .replace(/)<[^<]*)*<\\/style>/gi, ' ') // style\n .replace(/)<[^<]*)*<\\/noscript>/gi, ' ')\n .replace(/<\\/?(svg|math)[\\s\\S]*?<\\/\\1>/gi, ' ')\n .replace(/<[^>]+>/g, ' ') // remove all tags\n .replace(/ /gi, ' ')\n .replace(/&/gi, '&')\n .replace(/</gi, '<')\n .replace(/>/gi, '>')\n .replace(/"/gi, '\"')\n .replace(/'/gi, \"'\")\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\n// Get html from several possible keys\nfunction pickHtml(json) {\n const keys = ['data', 'html', 'body', 'content', 'text'];\n for (const k of keys) {\n if (typeof json?.[k] === 'string' && json[k].trim()) return json[k];\n }\n if (typeof json?.output === 'object') {\n for (const k of keys) {\n if (typeof json.output[k] === 'string' && json.output[k].trim()) return json.output[k];\n }\n }\n return '';\n}\n\nreturn items.map((item) => {\n const raw = pickHtml(item.json) || '';\n const cleaned = cleanHTML(raw);\n return { json: { data: cleaned } };\n});\n" }, "position": [ 2752, 576 ] }, { "id": "2ea4072f-acf6-4c7f-98af-abd531ab0a68", "name": "Set url", "type": "code", "params": { "jsCode": "// Get all items from previous node (each item = one SerpAPI result)\nconst items = $input.all();\nconst out = [];\n\nfor (const item of items) {\n const data = item.json || {};\n const results = Array.isArray(data.organic_results) ? data.organic_results : [];\n\n // Collect links + fallback from redirect_link?url=...\n const urls = results.map(r => {\n if (r.link) return r.link;\n if (r.redirect_link) {\n try {\n const u = new URL(r.redirect_link);\n const real = u.searchParams.get('url');\n if (real) return real;\n } catch (e) {}\n }\n return null;\n }).filter(Boolean);\n\n // Dedupe\n const unique = [...new Set(urls)];\n\n // Output one item per URL (include useful metadata)\n for (const r of results) {\n // Match parsed URL with r.link/redirect_link\n let resolved = r.link;\n if (!resolved && r.redirect_link) {\n try {\n const u = new URL(r.redirect_link);\n const real = u.searchParams.get('url');\n if (real) resolved = real;\n } catch (e) {}\n }\n if (resolved && unique.includes(resolved)) {\n out.push({\n json: {\n url: resolved,\n position: r.position ?? null,\n title: r.title ?? null,\n displayed_link: r.displayed_link ?? null,\n source: r.source ?? null,\n date: r.date ?? null\n }\n });\n }\n }\n}\n\n// If no organic_results, return empty info to keep flow running\nreturn out.length ? out : [{ json: { url: null, note: 'No organic_results found' } }];\n" }, "position": [ 1920, 272 ] } ] }

Brand DNA generator using JotForm, Google Search, Gemini AI & Notion