Service · GEO
GEO
SEO for the AI engines — ChatGPT, Perplexity, Gemini, Claude. Built to be cited, not just ranked.
What is generative engine optimization (GEO)?
GEO is the discipline of structuring web content so that large language models — the systems behind ChatGPT, Perplexity, Gemini, Google's AI Overviews, and Claude — extract, attribute, and recommend your brand in their answers. Where SEO optimises for crawler ranking, GEO optimises for citation and synthesis.
The two share infrastructure (semantic HTML, structured data, content quality) but diverge on what 'a successful page' looks like. A page that ranks #5 organically can be cited #1 in an AI Overview, and vice versa.
How is GEO different from SEO?
Three core differences. First, content structure: AI engines extract better from content with explicit, declarative answers near the top of a page (the 40-60 word direct answer pattern), then supporting evidence below. Second, citation surface: AI engines prefer to cite original data, original research, and sources that read as authoritative — not aggregated round-ups. Third, freshness: AI engines weight recency more heavily on certain query types and re-crawl through different pipelines than Googlebot.
SEVCO builds content that is co-optimised: it ranks classically and gets cited generatively. The two are not in tension when the underlying content is good.
Which AI engines does SEVCO optimise for?
ChatGPT (with browsing), Perplexity, Google AI Overviews / Gemini, Claude (when web-enabled), and Microsoft Copilot. Each has slightly different crawling, citation, and ranking behaviour, and SEVCO tracks brand visibility across all of them via tools like Profound, Athena, and our own monitoring.
Can you actually measure GEO performance?
Yes — and the discipline of measurement is itself part of the offer. We track brand mention rate across each engine for a defined query set, citation share against competitors, position in AI answers, and downstream traffic from AI referrers (ChatGPT, Perplexity, Copilot all pass referrer data; AI Overviews are harder).
Anyone telling you GEO cannot be measured has not yet built the measurement.
What's included in a SEVCO GEO engagement
- GEO content architecture (direct-answer pattern, supporting evidence)
- Schema and structured data for AI extraction
- Original research and citable data assets
- AI engine visibility tracking (Profound, Athena, custom)
- Cross-engine query monitoring
- Integration with classical SEO content program
Who this is for
- Brands whose category is being researched in ChatGPT and Perplexity
- Companies losing share of voice as AI engines surface alternatives
- Brands with strong original data, research, or expertise to amplify
Frequently asked questions
Is GEO a real discipline or marketing hype?
Both. The underlying problem — making sure AI engines accurately represent your brand — is real and growing. The discipline is young, evolving fast, and many vendors overstate certainty. SEVCO operates from what is measurable today and adapts as engines change.
Will GEO replace SEO?
No. The two are converging, not replacing. The content that wins generatively is largely the content that wins classically. Brands that abandon SEO to chase GEO are usually brands that were not doing SEO well in the first place.
How quickly does GEO produce visible results?
Faster than classical SEO on certain query types. We typically see citation share move within 60–120 days for focused query sets, especially in less-saturated categories.
Does SEVCO have a tool for AI visibility?
We work with Profound, Athena, and the major AI visibility platforms, and we run our own daily monitoring across the top engines for client query sets. We do not sell our own tool — we build the program.
How is GEO priced?
GEO is usually scoped as part of an integrated SEO + GEO retainer, since the content infrastructure is shared. Standalone GEO programs run $10k–$30k/month depending on query coverage and engine count.