In this post
GEO instead of SEO – optimization for generative engines (ChatGPT, Perplexity, Gemini) and the decline in traffic from classic search.
GEO, Generative Engine Optimization, is what happens when you stop writing primarily for blue links and start writing for the moment a model is asked, “What’s the best option for X?” and it answers with 3–7 recommendations, a short explanation, and maybe no click at all.
It’s not that SEO is dead. It’s that classic search is losing its monopoly on discovery, and a meaningful chunk of intent is leaking into ChatGPT, Perplexity, Gemini, Copilot, and whatever comes next. The result: fewer pageviews, fewer “top-of-funnel” clicks, and more businesses asking the uncomfortable question:
“If the answer is being generated in the interface, how do we make sure we’re in the answer?”
That’s the GEO question.
Why traffic from classic search is declining (even when rankings look fine)
A few shifts are stacking on top of each other:
- Answer-first interfaces: AI summaries and direct answers satisfy intent without a click.
- Fewer clicks per search: Even when you rank, you may be competing with an AI block, product carousels, maps, and Reddit/UGC results.
- Long-tail is being “captured”: The weird, specific queries that used to be easy wins (“best invoicing software for plumbers in Canada”) are now exactly what LLMs are good at answering conversationally.
- Trust is being outsourced: People ask models for a short list because it feels faster than evaluating ten tabs.
So you’ll see brands saying: “Our impressions are up, our rankings are stable, but sessions are down.” That’s not a tracking bug—it’s the new layout of attention.
What GEO actually optimizes for
Traditional SEO is largely about:
- indexing + technical health
- matching keywords to pages
- backlinks + authority
- SERP CTR optimization
GEO shifts focus to:
- being cited, referenced, or recommended by generative systems
- being understood correctly (your product, category, differentiators)
- being “retrievable” from multiple sources (not just your site)
- being the obvious choice when a model compiles options
Think of GEO as optimizing for inclusion in synthesized answers, not just placement in rankings.
How generative engines decide what to include
Different systems work differently (some browse the web, some rely on indexed sources, some blend retrieval + model knowledge), but the patterns that show up again and again are:
- Clarity beats cleverness
If your site is all vibe and no specifics, models struggle to represent you accurately. - Repetition across credible surfaces matters
If your positioning appears consistently on your website, reputable directories, press, Wikipedia/Wikidata (when applicable), and authoritative articles, you become “stable” in the model’s view. - Structured information is a cheat code
Lists, tables, pricing pages, “best for” sections, comparisons, FAQs, definitions—these are easy to extract and cite. - Authority and corroboration are weighted heavily
Third-party validation (reviews, case studies, reputable mentions) becomes more important, not less. - Freshness and specificity win for many queries
Particularly in Perplexity-style answers that cite sources, recent pages with clear details tend to dominate.
What to do differently: practical GEO tactics that work now
1) Write for “answerability”
Create pages that make it easy for a model (and a human) to summarize you:
- What you do (one sentence)
- Who it’s for (specific roles/industries)
- Key features (bulleted)
- Differentiators (bulleted, provable)
- Pricing or pricing logic (even if ranges)
- Integrations / compatibility
- Clear “best for / not for” (this is surprisingly powerful)
- FAQs that mirror real prompts
If you want to show up in “Top tools for X,” you need a page that basically says, in plain language, “We are a tool for X.”
2) Build a “citation moat”
GEO rewards brands that are easy to verify across the web. That means:
- Keep your brand name, product name, and category consistent everywhere.
- Ensure your company profiles are complete and aligned: Crunchbase, G2/Capterra (if relevant), LinkedIn, app marketplaces, industry directories, partner pages.
- Pursue credible mentions, not spray-and-pray guest posts. One strong industry publication can matter more than 30 weak links.
3) Create comparison and “alternatives” content (carefully)
Generative engines love comparison framing because users ask comparison questions constantly:
- “X vs Y for small teams”
- “Best alternatives to Z”
- “Is X worth it?”
If you don’t publish the comparison, someone else will—and the model will learn from them. The trick is to be fair, specific, and avoid turning it into a hit piece.
4) Make your expertise easy to extract
Thought leadership that’s just opinionated fluff won’t travel well through models.
What does travel well:
- original research
- clear frameworks
- step-by-step processes
- definitions and terminology
- case studies with numbers
- “what we learned” breakdowns
5) Use schema + clean page structure (still matters)
Even in a GEO world, good technical foundations help systems parse your content:
- Organization, Product, FAQ, HowTo schema
- clean headings
- descriptive alt text
- consistent internal linking
- a real “about” page and author credentials where relevant
6) Optimize for prompts, not just keywords
Start collecting the questions your prospects ask models:
- “What’s the best way to…”
- “Which tool should I use if…”
- “Explain X like I’m…”
- “Give me a checklist for…”
Then create pages that answer those prompts directly—short, structured, and demonstrably accurate.
What success looks like (and how to measure it when clicks drop)
The messy truth: GEO measurement is still immature. But you can track progress with a mix of signals:
- Share of voice in generative answers: run a consistent set of prompts weekly and record inclusion + ranking in responses.
- Referral patterns: Perplexity and some AI browsers do send traffic; track it separately.
- Brand search lift: as people hear about you from AI answers, they often search your brand name directly.
- Sales/lead quality: leads may be fewer but more “pre-sold” because they arrive after a model recommended you.
- Mentions across the web: increase in citations, list inclusions, directory visibility, and partner pages.
The goal isn’t to replace SEO. It’s to diversify discovery so you’re not dependent on one shrinking channel.
The strategic shift: from “rankings” to “recommendability”
In classic SEO, you could win by being technically optimized, keyword-aligned, and link-rich.
In GEO, you win by being:
- unambiguous
- verifiable
- consistently described across the web
- easy to compare
- backed by proof
You’re not just trying to be found. You’re trying to be chosen by an engine that’s summarizing the market on the user’s behalf.
If you want to turn this into a plan (and not just a concept)
If classic search traffic is flattening or dropping and you want to build visibility inside ChatGPT/Perplexity/Gemini-style experiences, EBIG can help you build a GEO strategy that’s actually executable: content architecture, “citation moat” building, prompt-driven content plans, and measurement dashboards.
To get started, contact us right now for a discovery call.
You can send your website + your category, and mention which markets you care about. We’ll tell you where you’re currently showing up (and where you’re invisible), then map the fastest path to becoming the default recommendation.