Senior SEO Specialist (English-speaking market)

An SEO specialist who understands that Google is no longer the only search result.

We are building SilentRoom — a text-based AI environment for authors, journalists, screenwriters, and researchers. It's an "exoskeleton for authors": document hierarchy, instant access to sources, selection of top models (Claude 4.6, GPT-5, Gemini, DeepSeek V3), a library of editable prompts, and the Echo Chrome extension, which clips pages and transcribes YouTube videos up to 2 hours long.

Slogan: Write. Think. Verify. In silence.

The market is English-speaking (US/UK/EU). No Runet, no Yandex, no "position promotion in Wordstat." If you've spent the last five years boosting commercial sites to the Top 10 in Yandex, we're not a good fit.

Where you will work

We already have a journal — a text blog on our own engine, operating in a closed loop. It features several dozen longreads in English, written by a renowned author (Arsen Revazov, author of the book "We've All Become Prompt Engineers," 400 pages on working with LLMs). We'll show you the tech stack, sitemap, current indexing status, schema, and CMS choice after our initial contact.

Concurrently, we have the Echo Chrome extension. A Google Ads marketer is already working on 35 pain points ("how to bypass paywalls," "how to check ChatGPT hallucinations," "how to turn a YouTube lecture into text"). Your task is to build an organic layer for the same pain points, so that Ads and SEO work in synergy, not cannibalizing each other.

What needs to be done

Technical SEO on the journal's custom engine: sitemap, robots, canonical, hreflang, Core Web Vitals, internal linking, JSON-LD for Article / FAQ / HowTo / Product. Linking the journal and the book landing page via Knowledge Graph.

Content SEO: build a content plan for the 35 pain points in conjunction with the journal's author. Not to write it yourself — but to structure it. Clusters, pillar pages, supporting articles, programmatic landings for long-tail queries.

Integration with Google Ads: Search Themes in Performance Max, semantic synchronization between landing pages and ad groups, Quality Score through content relevance, not bids.

GEO / AI Search optimization: appearing in the search results of ChatGPT, Perplexity, Gemini, Claude. This is not a "buzzword" — it will be half of our target audience's traffic in two years. If you've already thought about llms.txt, about structuring content for LLM citation, about the difference between ranking in Google and retrieval in RAG pipelines — let's talk.

Analytics: GSC, GA4, Ahrefs/Semrush, server-side tracking. Not reports for the sake of reports — hypotheses, experiments, conclusions.

Tech stack we already have

Journal, book landing page (silentroom.ai), product landing page (in progress), Echo extension Chrome Web Store listing. Stripe for payments, Supabase, Vercel. A dedicated Google Ads marketer — you'll work with them as a pair, not instead of them.

What should be in your mind

• Schema.org / JSON-LD not as a "checkbox for Yoast," but as a semantic layer for Knowledge Graph and LLM retrieval.
• Programmatic SEO: you understand how to create 200 pages for long-tail queries without a thin content penalty.
• GEO / AI Search: you've read at least one analysis of how Perplexity and ChatGPT select sources, and you have an opinion on why backlinks work differently for them than for Google.
• SEO ↔ Google Ads Synergy: you know why Quality Score is also about landing page relevance, not just ad CTR.
• E-E-A-T and author entities: you understand that we have an author with a Wikipedia page and exhibitions at the Tretyakov Gallery, and you know how to leverage this in search results.