Can Drevon build a lead list?

Yes. Describe your ideal customer in a sentence, or point Drevon at a Sales Navigator search, and it returns a CSV where every row carries the reason the account matched and the source behind it.

Does Drevon do account research before a call?

Yes. Ask for a pre-call brief and Drevon reads the company’s history, funding, hiring, and what the people in the room have said publicly, with a link on every claim. Agencies run these in batches.

How does Drevon find buying signals?

It reads the public sources where real-time buying signals actually show up: Reddit threads, LinkedIn posts, job changes, funding announcements, review sites. Every signal comes with the page it was found on.

What jobs can a GTM AI agent run in Drevon?

The ones a GTM team actually delegates: build a lead list, account research, account health checks, an account relationship recap before a renewal, competitor analysis, an AE-to-CS handoff brief, buying committee mapping, pre-call briefs. Each job is a prompt, and every output cites its sources.

Do I need a ZoomInfo, Apollo, or Clay contract?

No. Drevon reads public pages and the tools you’re already logged into. If you run Clay or HubSpot, Drevon exports to them.

How is Drevon different from gtm.ai?

gtm.ai is ZoomInfo’s interface for AI agents: your agent queries their database, and you pay for a ZoomInfo contract plus credits. Drevon needs no data contract. It researches in your own browser with your own logins and cites the page it read.

What AI subscription do I need?

Any one of Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity. Drevon drives the plan you already pay for; there is no separate AI bill.

Drevon is a macOS desktop app that does evidence-backed prospect research for GTM engineers. From one or two prompts it finds high-intent customers and researches them in depth: LinkedIn activity, Reddit threads, blog posts, podcasts, years of company history, with every claim linked to its source. It runs AI agents (powered by Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity) directly in your own browser, without adding new subscriptions or sending data to the cloud.

Does Drevon connect to my CRM?

Where your CRM publishes an MCP server (Model Context Protocol), yes: add it in Settings and its data becomes part of the research, so the agent can check what your team already knows about an account before it goes looking. Drevon takes any MCP server, not a fixed list. For everything else, it exports structured files to the tools you already run.

How is Drevon different from Clay?

Clay is a cloud-based enrichment tool that uses API calls and third-party data providers. Drevon runs agents in your own browser, logged into your real accounts (LinkedIn, Sales Navigator, your CRM). This means Drevon can pull data Clay cannot reach (saved searches, private LinkedIn signals, personalized CRM context) and it charges no per-row credit fees.

How is Drevon different from Apollo?

Apollo is a contact database with outreach sequencing. Drevon is an agent runtime that can pull from Apollo, LinkedIn, your CRM, and any web source simultaneously. Drevon does not sell you data. It automates how you gather and use it.

Does Drevon require a subscription?

No. Drevon is free to download and runs on top of Claude Code, OpenAI Codex, GitHub Copilot, Google Gemini, or Antigravity. These are plans you likely already have. There are no per-row fees, no credit system, and no new contract.

Can Drevon agents access LinkedIn?

Yes. Because Drevon runs in your own browser with your existing login session, agents browse LinkedIn, Sales Navigator, and any other tool you are logged into, exactly as you would. No datacenter IPs, no rate-limit workarounds.

Is my data safe with Drevon?

All data stays on your machine. Drevon does not upload prospect lists, CRM exports, or agent outputs to any cloud server. It runs entirely locally, which means no third-party storage, no compliance risk, and no data leakage.

Can I run multiple AI agents at the same time?

Yes. Drevon supports parallel agent execution. You can run 10 agents simultaneously, each with its own browser context, memory, and instructions. Each agent works independently and saves its output to your local filesystem.

What does "evidence of intent" actually mean?

Every row Drevon hands back carries the thing that put it on the list: the Reddit thread and the quote, the LinkedIn post and the date, the funding announcement and the roles opened after it. You can click through to the source. That is the difference between a list of people who match your ICP on paper and a list of people who are looking right now.

How long does prospect research actually take?

Based on our user interviews: 15–20 genuinely personalized LinkedIn reach-outs is a full day of research for a rep with 8–10 years of experience. Drevon researches the same batch in 15–30 minutes, reading profiles, posts, podcasts, funding history, and company background, citing the source for every claim so you can verify before you send.

What GTM tools does Drevon work with?

Two ways in. Any tool that publishes an MCP server connects in Settings, which covers the stack most GTM teams run: crms (HubSpot, Salesforce, Pipedrive, Attio, Zoho CRM), enrichment (Clay, Apollo, Breeze (Clearbit), People Data Labs), outreach (Instantly, Smartlead, Lemlist, Outreach, Salesloft), analytics (PostHog, Amplitude, Google Analytics 4, Mixpanel), workspace & export (Notion, Slack, Google Sheets). Everything else takes the second route, the structured files (CSV, JSON, Markdown) every run writes to your filesystem.

Ai cited blogging platforms

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Blogging Platforms Highly Cited by AI Systems (ChatGPT, Claude, Perplexity, Gemini)

Research compiled: August 2026

Sources: Semrush, Contently, 5W PR Citation Index, Frase GEO Playbook, Profound, QuickSEO

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Tier 1: Dominant Citation Sources (All Major AI Platforms)

These platforms appear across ChatGPT, Claude, Perplexity, and Gemini consistently.

Platform	Why AI Systems Cite It	Best For
Reddit	#1 cited domain across all AI platforms; up to 20% of Perplexity citations; favored for direct, conversational answers	Community discussions, Q&A, authentic opinions
LinkedIn	Climbed to #1 for professional queries by early 2026; cited in 14.3% of ChatGPT Search responses	Professional content, thought leadership, B2B
YouTube	9.5% of Google AI Overview citations; AI parses video transcripts; strongest on Gemini and Perplexity	Video content with descriptive titles and captions
Wikipedia	26–48% of ChatGPT's top-10 citation share; 11.2% of Google AI Overviews	Reference/encyclopedic content (hard to publish on directly)

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Tier 2: High-Authority Editorial & Publication Platforms

These get cited heavily and are open to contributor content.

Platform	AI Citation Signal	Notes
Medium	Consistent top-10 on ChatGPT; gained share post-Sept 2025 after Reddit decline	General audience; write under publications for more authority
Forbes (Forbes Councils/Contributor)	Tier-2 most cited after Reddit/Wikipedia across all AI	Paid contributor programs available; very high domain authority
Substack	Rising tier-3 source; disproportionate citation weight in niche B2B queries	Better for newsletter-style content; weak SEO schema
HackerNoon	Curated tech publication (editorial review); indexed well by AI for tech topics	Developer/tech content; reviewed before publishing
Business Insider (contributor)	Named in 5W AI Citation Source Index top 50	Requires contributor pitching

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Tier 3: Community Platforms (Strong for Q&A and Expert Content)

Platform	AI Citation Signal	Best For
Quora	4.1x ChatGPT citation multiplier for expert-credentialed answers	Q&A format; expert answers with credentials
Dev.to	Strong developer community feed; open publishing	Developer/technical content; free to post
Hashnode	Custom domain blogging; SEO credit goes to your domain	Developer personal brands; better for long-term SEO
GitHub (README / GitHub Pages / Gists)	Public repos and Gists indexed by AI; especially for technical queries	Code, technical documentation, open-source projects

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Tier 4: Review & Directory Platforms

AI systems give these a 4.6–6.3x citation multiplier for product/service queries.

Platform	AI Citation Signal	Best For
G2	Most cited software review platform across ChatGPT, Perplexity, Google AI	SaaS/software reviews
Capterra	Cited alongside G2 for software queries	Software comparisons
Trustpilot	Consumer product/service reviews	E-commerce, services
Product Hunt	Indexed for product launches and tech discovery	Tech product launches

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Tier 5: Self-Hosted / Owned Blog Platforms

Having your own domain with proper structure is the foundation. Choose the CMS, then amplify via the platforms above.

Platform	AI Citation Signal	Notes
WordPress (.org self-hosted)	Largest plugin ecosystem for LLM/GEO optimization (schema, structured data)	Maximum flexibility; many AI visibility plugins
Ghost	Clean semantic HTML; fast load; simpler than WordPress	Good for memberships; pair with LLM-visibility tool
Webflow Blog	Clean structured HTML; good schema support	Design-forward sites

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Platform-by-Platform AI Preferences

AI System	Top Cited Sources	Avoid / Low Citation
ChatGPT	Wikipedia (16.3%), Medium, Forbes, LinkedIn, PRnewswire	Low domain authority personal blogs
Claude	NYT, The Atlantic, The Economist, NPR, The New Yorker	Thin content, sites without E-E-A-T signals
Perplexity	Reddit (6.6%), YouTube, LinkedIn, Forbes, G2	Wikipedia (notably, Perplexity avoids Wikipedia)
Gemini / Google AI Overviews	Wikipedia (11.2%), YouTube (9.5%), Reddit (5.8%), LinkedIn (15%)	Non-indexed or slow-loading pages

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Key Strategies to Maximize AI Citations

1. Publish on multiple platforms — 5+ external domains cross-referencing you significantly improves citation rates (multi-source validation signal)

2. Update content regularly — Content updated within 90 days earns 67% more AI citations; Perplexity weights last-30-day content at 82% citation rate

3. Use listicle/structured formats — Listicles earn 21.9% highest citation share on Perplexity (scannable, extractable)

4. Build Reddit presence — Authentic subreddit participation still drives citations across all AI platforms

5. Get on G2/Capterra/Trustpilot — Review platforms have 4.6–6.3x citation multiplier for product queries

6. Use proper schema markup — Structured data helps AI parse and cite your content accurately

7. Publish press releases on PRnewswire — Gained citation share significantly on ChatGPT in late 2025

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Recommended Publishing Stack

For a content creator wanting maximum AI visibility:

1. Own your content → Self-hosted WordPress or Ghost (your primary canonical domain)

2. Amplify on communities → Cross-post to Medium + Dev.to (if technical) + Hashnode

3. Build Q&A presence → Answer on Reddit (subreddits) + Quora (with credentials)

4. Professional layer → LinkedIn articles and posts

5. Video layer → YouTube with rich descriptions (transcripts matter for AI)

6. Earn editorial coverage → Pitch HackerNoon, Forbes contributors, industry publications

7. Get reviews → G2 / Capterra / Trustpilot profiles

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Sources

·[Contently: Top 10 Sources LLMs Cite Most in 2026](https://contently.com/2026/04/29/top-sources-llms-cite/)

·[Semrush: Most Cited Domains by AI - 3 Month Study](https://www.semrush.com/blog/most-cited-domains-ai/)

·[5W PR: AI Platform Citation Source Index 2026](https://www.prnewswire.com/news-releases/5w-releases-ai-platform-citation-source-index-2026-the-50-websites-that-now-decide-what-brands-are-visible-inside-chatgpt-claude-perplexity-gemini-and-google-ai-overviews-302759804.html)

·[QuickSEO: AI Citation Patterns 2026](https://quickseo.ai/blog/ai-citation-patterns-chatgpt-claude-gemini-perplexity)

·[Frase: Complete GEO Playbook for AI Citations](https://www.frase.io/blog/how-to-get-cited-by-ai-search-engines-the-complete-geo-playbook)

·[Wellows: How to Rank in Perplexity AI 2026](https://wellows.com/blog/how-to-rank-in-perplexity/)

·[SEO Sherpa: AI Search Statistics 2026](https://seosherpa.com/ai-search-statistics/)

·[Growtika: LLM Visibility Complete Guide 2026](https://growtika.com/blog/llm-visibility)

·[Typeflo: Best Developer Blogging Platforms 2026](https://typeflo.io/blog/hashnode-alternatives)

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