GEO Content Gap — AI Editorial Brief Generator vs Competitors

GEO Content Gap finds the exact prompts where AI cites your competitors but not your brand — and turns each gap into a ready-to-write editorial brief (H1, must-cover points, target keywords). Multi-LLM consensus across ChatGPT and Claude. Stop guessing what content to publish to get cited by AI.

Built for SEO leads, content strategists and growth teams. Output editorial briefs, not raw audits.

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What can GEO Content Gap do?

• 🔎 Detect AI citation gaps — for every prompt, see if AI mentions you, your competitors, or neither
• ⚔️ Competitor mention delta — exact count of competitor citations vs your own, per prompt
• 📝 Auto-generated content brief per gap — recommended H1, intent, must-cover points, target keywords
• 🧠 Topic cluster grouping — find recurring themes across gaps to prioritize content roadmaps
• 🏆 Priority ranking — gaps sorted by competitor mention strength so you publish the highest-leverage content first
• 🤖 Multi-LLM consensus — GPT-4o Mini and Claude Haiku queried in parallel for stable detection
• 📊 vs Competitor breakdown — share of voice per competitor across your prompt set
• 💸 Cheapest gap-with-brief actor on Apify Store — same tier as premium audits, at one flat price per prompt

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What data can you extract per gap?

Field	Description
brand_domain	Your brand domain or name being audited
prompts_analyzed	Total number of prompts queried against the LLMs
llms_tested	Array of OpenRouter model IDs used (default: GPT-4o Mini + Claude Haiku)
gap_prompts	Priority-ranked array of gap prompts, each with full content brief
competitor_mentions_by_brand	Dict: total mention count per competitor across all prompts
vs_competitor_breakdown	Per-competitor share of voice and prompts mentioned in
user_brand_mention_count	Times your brand was mentioned across all responses
gap_score	% of prompts where competitors won but you weren't mentioned
topic_clusters	Theme groupings of detected gaps with gap_count per cluster
content_brief	Top-priority brief at root level: h1, intent, must_cover_points, target_keywords, topic_cluster
recommended_h1	Catchy H1 for the highest-priority gap (≤70 chars)
must_cover_points	5-7 concrete points the article must address to compete
target_keywords	4-6 SEO target keywords for the top-priority gap
priority_rank	1 = highest leverage gap to publish
raw_responses	First 30 raw LLM responses (truncated) for transparency
date_iso	UTC ISO timestamp of the run

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How to find your AI content gaps

1. Create a free Apify account — no credit card required
2. Open GEO Content Gap in Apify Store
3. Enter your brand domain (e.g. notion.so) and competitor names (e.g. Asana, ClickUp)
4. List the natural-language prompts users would ask AI in your niche
5. Click Start — gap detection + brief generation in 1–2 minutes
6. Open the dataset to get a ranked list of gaps each with a content brief ready to hand to your writers

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How much does AI content gap analysis cost?

$0.50 per prompt analyzed via Apify Pay-Per-Event. No surprise compute charges — flat per prompt, regardless of how many LLMs respond.

Run	Prompts	Apify cost	LLM consensus
Quick (5 prompts)	5	~$2.50	GPT-4o Mini + Claude Haiku
Standard (15 prompts)	15	~$7.50	GPT-4o Mini + Claude Haiku
Deep (25 prompts)	25	~$12.50	GPT-4o Mini + Claude Haiku
Massive (100 prompts)	100	~$50.00	GPT-4o Mini + Claude Haiku

A traditional content gap audit from an SEO agency costs $1,500–$5,000 for a similar deliverable. GEO Content Gap delivers the same prioritized briefs from $2.50.

🆚 Compared to apilab/ai-content-gap-agent ($6.90–$10.20 per result, SERP-only no LLM), khadinakbar/llm-visibility-tracker ($90/1K keyword checks, no briefs), and constructive_calm/llm-visibility-monitor ($150–$500/1K samples) — GEO Content Gap is the only one that delivers competitor-vs-brand gap detection AND ready-to-write editorial briefs at the per-prompt tier.

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Input parameters

Parameter	Type	Required	Default	Description
brandDomain	string	✅	—	Your brand domain or name (e.g. notion.so, Notion)
brandAliases	array	❌	[]	Extra variants to match (e.g. ["Notion Labs", "Notion AI"])
competitors	array	✅	—	Competitor brand names (e.g. ["Asana", "ClickUp"])
prompts	array	✅	—	Natural-language prompts users would ask AI in your niche
industry	string	❌	general	Industry context used when generating editorial briefs
llms	array	❌	2 models	Override which OpenRouter models to query
maxPrompts	integer	❌	25	Safety cap on prompts processed in one run (1–200)
generateBriefs	boolean	❌	true	If false, skip brief generation (saves 1 LLM call per chunk)

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Output example

{
  "_type": "geo_content_gap",
  "brand_domain": "notion.so",
  "industry": "project management and team productivity",
  "prompts_analyzed": 4,
  "llms_tested": ["openai/gpt-4o-mini", "anthropic/claude-haiku-4.5"],
  "gap_score": 50.0,
  "n_gaps": 2,
  "user_brand_mention_count": 3,
  "competitor_mentions_by_brand": {
    "Asana": 6,
    "ClickUp": 4,
    "Monday": 5
  },
  "vs_competitor_breakdown": [
    { "competitor": "Asana", "total_mentions": 6, "prompts_mentioned_in": 3, "share_of_voice_pct": 75.0 },
    { "competitor": "Monday", "total_mentions": 5, "prompts_mentioned_in": 2, "share_of_voice_pct": 50.0 },
    { "competitor": "ClickUp", "total_mentions": 4, "prompts_mentioned_in": 2, "share_of_voice_pct": 50.0 }
  ],
  "topic_clusters": [
    { "cluster": "remote team tools", "gap_count": 1 },
    { "cluster": "all-in-one workspace", "gap_count": 1 }
  ],
  "gap_prompts": [
    {
      "priority_rank": 1,
      "prompt": "Best project management tools for remote teams in 2026",
      "competitors_mentioned": ["Asana", "ClickUp", "Monday"],
      "competitor_mention_total": 5,
      "topic_cluster": "remote team tools",
      "intent": "comparison",
      "recommended_h1": "Best Project Management Tools for Remote Teams in 2026 — Notion vs Asana, ClickUp, Monday",
      "must_cover_points": [
        "Side-by-side comparison table: Notion vs Asana vs ClickUp vs Monday on async collaboration features",
        "Use case: distributed teams across timezones with shared docs + tasks in one workspace",
        "Pricing per seat at 10, 50, 200 users for remote orgs",
        "Real example: a 100-person fully remote startup using Notion as the single source of truth",
        "Integration ecosystem: Slack, GitHub, Zoom — what Notion does natively vs competitors"
      ],
      "target_keywords": [
        "best project management tools remote teams",
        "Notion for remote teams",
        "Notion vs Asana remote work",
        "async project management software"
      ],
      "rationale_30w": "AI currently cites only competitors for this query. A comparison-led article with Notion-first framing on async + docs-in-one earns the citation slot."
    }
  ],
  "recommended_h1": "Best Project Management Tools for Remote Teams in 2026 — Notion vs Asana, ClickUp, Monday",
  "must_cover_points": [
    "Side-by-side comparison table",
    "Use case: distributed teams across timezones",
    "Pricing per seat at 10, 50, 200 users",
    "Real example: 100-person fully remote startup",
    "Integration ecosystem"
  ],
  "target_keywords": [
    "best project management tools remote teams",
    "Notion for remote teams"
  ],
  "priority_rank": 1,
  "date_iso": "2026-06-04T10:00:00Z"
}

---

Use cases

• Content strategy roadmap for SEO/GEO teams — turn your AI gap audit into a prioritized editorial backlog with one click
• Agency monthly client deliverable — run on a client domain, hand them a ranked list of briefs with rationale, charge them by deliverable
• Brand monitoring for B2B SaaS — schedule monthly to catch new prompts where competitors gain ground in AI answers
• Pre-launch competitive moat — for a new product, find every AI prompt where incumbents are cited and pre-write the comparison articles
• AEO / AI Engine Optimization brief generation — fast-track content briefs designed specifically for AI citation, not just Google ranking
• Cross-sell from the GEO Visibility Score actor — if you already know your overall AI visibility is low, this tells you exactly which content to publish to fix it

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Use GEO Content Gap via API

Python:

import requests

run = requests.post(
    "https://api.apify.com/v2/acts/dltik~geo-content-gap/run-sync-get-dataset-items",
    headers={"Authorization": "Bearer YOUR_APIFY_TOKEN"},
    json={
        "brandDomain": "notion.so",
        "competitors": ["Asana", "ClickUp", "Monday"],
        "prompts": [
            "Best project management tools for remote teams in 2026",
            "Top Notion alternatives for small businesses",
            "Project management software with strong roadmap features",
        ],
        "industry": "project management and team productivity",
    },
    timeout=300,
).json()

print(run)

curl:

curl -X POST "https://api.apify.com/v2/acts/dltik~geo-content-gap/runs" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "brandDomain": "notion.so",
    "competitors": ["Asana", "ClickUp"],
    "prompts": ["Best project management tools for remote teams in 2026"],
    "industry": "project management"
  }'

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FAQ

How is this different from a traditional content gap tool like SEMrush or Ahrefs? SEMrush and Ahrefs find keywords your competitors rank for on Google. GEO Content Gap finds prompts where AI (ChatGPT, Claude, Gemini) currently recommends competitors instead of you — a fundamentally different surface. The competitor apilab/ai-content-gap-agent is SERP-based; this actor is LLM-citation-based, and it adds the editorial brief on top.

How do you avoid false negatives on brand-name matching (e.g. "Notion" vs "Notion Labs")? Each brand and competitor name is normalized into multiple variants (raw, lowercased, with/without TLD, base form before suffixes like "Inc"/"Labs"). Matching uses word-boundary regex (no partial substring inside notional etc.). You can also pass brandAliases to add manual variants like Notion Labs or Notion AI.

What if the same LLM mentions me one run and not the next? LLMs are stochastic. GEO Content Gap defaults to 2-LLM consensus with temperature 0.3, which is the sweet spot between cost and stability. For maximum signal, run twice and treat persistent gaps as the priority backlog.

How do you generate the editorial briefs? After gap detection, we batch all gap prompts (5 per call) and ask GPT-4o Mini to produce structured briefs (H1, intent, must-cover points, target keywords, rationale). Batching keeps the cost negligible — under $0.005 of LLM cost per brief.

Can I disable brief generation if I only want the gap detection? Yes. Set generateBriefs to false. You still get the full gap list and competitor mention breakdown, just without the editorial briefs.

I need help or a custom solution. Open an issue on the Issues tab or contact us through Apify.

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Connect with Make, Zapier & n8n

This actor integrates with any automation platform via the Apify API.

Make (Integromat)

1. Add an Apify module in your Make scenario
2. Select Run Actor and choose dltik/geo-content-gap
3. Configure the input (paste your JSON or build it dynamically)
4. Add a Get Dataset Items module to retrieve the ranked gap briefs
5. Pipe each brief to Notion, Trello, Linear, Google Docs or your CMS

Zapier

1. Use the Apify integration on Zapier
2. Trigger: Actor Run Finished
3. Action: Get Dataset Items, then iterate over gap_prompts
4. Push each brief into your editorial calendar (Asana, ClickUp, Airtable)

n8n

1. Add an HTTP Request node calling https://api.apify.com/v2/acts/dltik~geo-content-gap/runs
2. Wait for completion, then fetch dataset items
3. Loop over gap_prompts and create a draft per gap in your CMS

Webhooks

run = client.actor("dltik/geo-content-gap").call(
    run_input={...},
    webhooks=[{
        "eventTypes": ["ACTOR.RUN.SUCCEEDED"],
        "requestUrl": "https://your-webhook-url.com",
    }],
)

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Complete your GEO analysis with the full suite

Actor	What it does	Start with this if...
✅ GEO Site Audit	Technical AI readiness score	Always start here
📊 GEO Visibility Score	GEO Score, mention rate, citation rate	You want your baseline AI visibility
⚔️ GEO Competitor Research	Share of Voice vs competitors	You know which competitors to track
🔍 GEO Prompt Research	AI keyword research & prompt scoring	You want to find new AI ranking opportunities
💬 GEO Brand Sentiment	How AI models describe your brand	You want to understand AI brand perception
📝 GEO Content Gap	Editorial briefs per AI citation gap	You know your gaps, want the briefs to fix them

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