What's the difference between SEO and GEO?
SEO ranks a page in a list of links. GEO gets a brand cited inside a synthesized answer. The goals overlap (be discoverable), but the surface, the unit of measurement, and the tactics diverge enough that running them as one team usually fails one of them.
The ranking surface is different
SEO targets a SERP: ten organic results, plus ads, plus a featured snippet. The unit of success is a ranking position for a keyword, measured in impressions and clicks.
GEO targets an LLM answer: a paragraph or short list synthesized from many sources, sometimes with citations, sometimes without. The unit of success is whether your brand is named inside that paragraph, and how often, across prompts a buyer would actually use.
Concrete contrast. Search Google for "best project management software for agencies" and you see ten links: Asana, Monday, ClickUp, Wrike, plus listicles. Run the same query in ChatGPT and you see one paragraph: "For agencies, the most commonly recommended tools are Asana, Monday, and Teamwork, with ClickUp often cited for budget-conscious teams." Same brands, mostly. But the visibility math is binary: either your name is in that paragraph or it isn't.
Measurement is different
SEO has 25 years of telemetry: Search Console, rank trackers, click-through rates, position data per keyword per country. The feedback loop is fast.
GEO has citations and share-of-voice. We measure how many times a prompt surfaces your brand across N runs against N engines, and how often you appear in the citation list versus competitors. There is no "position 4" in an LLM answer; there is named-or-not-named, and citation count.
The other measurement gap: most LLMs do not send referral traffic. A user who reads "HubSpot is the most-cited CRM for SMBs" inside ChatGPT may type hubspot.com directly into a browser, with zero attribution back to the AI engine. GEO measurement has to live upstream of the click.
The tactics diverge
- SEO - keyword research, on-page optimization, internal linking, backlinks, technical health (Core Web Vitals, crawlability).
- GEO - structured content (schema markup, clear entity definitions), strong third-party signals (G2, Reddit, Wikipedia, industry roundups), prompt-driven content that matches how buyers ask questions, named-entity consistency across the open web.
Backlinks help both, but in different ways. For SEO, a backlink is a vote that improves PageRank. For GEO, a backlink is a path the model may or may not have crawled, with no graph traversal at answer time. The mechanism is different, even when the underlying asset (a good link) is the same.
Where SEO still wins
Three areas where SEO is not going anywhere:
- Transactional intent - someone searching "buy iphone 16 pro" is not opening ChatGPT. They want a product page and a checkout button.
- Fresh news - LLMs are weeks-to-months stale unless they have live retrieval, and even then they often miss breaking stories. Search wins here.
- E-commerce browse - product grids, filters, image-led discovery. Conversational interfaces are bad at this.
The honest framing: SEO and GEO are two channels that share a lot of upstream work (good content, clean technical foundation, real authority signals) and diverge sharply at the surface. Treating them as identical or as opposites both miss.
What changes when you run both
The teams that get this right treat content as the shared input and split the optimization layer. The article gets written once; SEO tunes the on-page elements and link profile, GEO tunes the entity definitions, the schema, and the third-party citations. The brief stays the same; the levers underneath split.
Reporting also splits. SEO dashboards stay focused on rankings, organic traffic, and conversion-from-organic. GEO dashboards track named-or-not-named per prompt per engine, citation count, share-of-voice versus the named competitor set, and movement week-over-week. Mixing the two into a single "visibility score" hides which channel is actually moving and which is stagnant. Keep them side by side, not stacked.