ChatGPT
Answer-shaped pages on your own domain, brand mentions where models read, and a Bing-indexed sitemap — the checklist, worked through for you.
FirstOrg · Search & AI Search
FirstOrg writes content planned from what your buyers actually type — built to rank in search and to be the answer AI assistants cite.
Half of B2B buyers now start research in an AI chat, and most have changed a shortlist because of what it said. Search didn't die — it split into Google and the assistants, and this specialist plans for both at once.
The data behind that“So is SEO dead?” No — an honest answer for founders → We keep the numbers current too: AI search statistics, updated quarterly →
Every piece starts from search demand — what your buyers actually type, never hunches — and comes out drafted in your voice, ready to ship. Publishing to your site is your one manual step today.
Then the pipeline runs again — piece after piece, keyword after keyword. Curious where demand hides? The no-tools way to find what buyers search →
Zone 1 is buying intent — closest to revenue. Zone 2 is problem searches. Zone 3 is early questions. The engine plans across all three, so buyers find you before your competitors' names come up.
Zone 1 sits closest to revenue — the engine plans across all three, so buyers find you at every stage.
Generative Engine Optimization is built in, not bolted on: answer-shaped sections, citable claims, and the entity signals assistants look for — written into every piece, alongside the classic SEO work.
The full GEO guide for B2B startupsAnswer-shaped pages on your own domain, brand mentions where models read, and a Bing-indexed sitemap — the checklist, worked through for you.
Each assistant reads different sources — what earns a citation in one won't in another. Content is structured for each engine's diet.
It re-crawls constantly, which makes it the fastest first AI citation a startup can win — often within weeks of publishing.
GEO, AEO, LLM SEO, AI SEO — four names, one practice. One glossary →
A ranking post keeps pulling buyers long after it's published — every month's work stacks on the last. And the flat early months are normal: fewer than 6% of new pages hit page one within a year, which is exactly why the engine never stops.
Why months 1–3 look flatMonth-by-month expectations for year one: how long content takes to work →
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It plans topics around search demand and writes content designed to rank and bring in inbound — not hunches, but what your buyers actually type.
Generative Engine Optimization — structuring content so ChatGPT, Claude, Gemini, and Perplexity cite you when buyers ask. It's built into every piece alongside traditional SEO, not sold as a separate product.
No — Google penalizes unhelpful content at scale, whoever wrote it; most top-ranking pages already contain AI-assisted text. The 2026 data →
Yes — SEO-driven planning is built into the strategy and calendar from the start, across all three intent zones, not bolted on after.
A complete article — structured to rank, drafted in your voice, ready to ship. You publish it to your own site yourself today; site publishing isn't an automatic connection yet, unlike LinkedIn and X.
Search compounds: early rankings typically land within a few months and keep stacking. Perplexity citations often come much faster, since it re-crawls constantly.
No — search demand shapes the plan across everything the engine produces. What buyers ask Google and the assistants informs your LinkedIn and X content too.
FirstOrg plans and writes from real search demand — you can run it as your only SEO motion or alongside an existing tool.
FirstOrg wins you customers with high-quality content that runs itself.