Is GEO replacing SEO? How should I balance traditional search vs AI search?
Community discussion on GEO vs SEO. Understanding how to balance traditional search engine optimization with AI search optimization.
We’re facing internal conflict between SEO and GEO priorities.
The situation:
Our SEO team has been crushing it for years - we rank top 3 for 200+ keywords. But our CMO just asked why we don’t appear in ChatGPT or Perplexity answers for those same terms.
The disconnect:
| Channel | Our Performance | Resource Allocation |
|---|---|---|
| Google organic | Top 3 for 200+ keywords | 90% of search budget |
| ChatGPT | Mentioned in ~15% of relevant queries | 5% of search budget |
| Perplexity | Cited in ~20% of relevant queries | 5% of search budget |
The conflict:
SEO team says: “Focus on what works - we drive 50K organic visits monthly” New GEO advocate says: “AI search is growing 200% YoY, we’re invisible there”
Our questions:
Looking for real allocation frameworks that work.
Stop treating them as separate disciplines. They’re two sides of the same coin.
The unified approach:
SEO and GEO share 80% of the same foundations:
What they share:
SHARED FOUNDATIONS (80%):
├── Technical SEO (speed, mobile, crawlability)
├── Schema markup
├── Content quality
├── E-E-A-T signals
├── Internal linking
└── User intent alignment
SEO-SPECIFIC (10%):
├── Backlink acquisition
├── CTR optimization
└── SERP feature targeting
GEO-SPECIFIC (10%):
├── Entity clarity
├── AI-extractable formatting
└── Conversational optimization
The insight:
Most “GEO work” improves SEO too. Clear answers, good structure, explicit naming - all help both channels.
Resource split recommendation:
Don’t split by channel. Split by activity:
This eliminates the “competing priorities” problem.
Here’s the data supporting this unified approach:
Our test results:
We optimized 50 pages for GEO (clear answers, explicit naming, structured data).
| Metric | Before | After | Change |
|---|---|---|---|
| AI citations | 12% of queries | 34% of queries | +183% |
| Google rankings | Avg #4 | Avg #3.2 | +20% |
| Organic traffic | 42K/month | 51K/month | +21% |
The finding:
GEO optimization improved our SEO. The changes that helped AI (clear structure, direct answers, explicit entities) also helped Google.
Why this happens:
Google is moving toward the same signals AI uses. Explicit answers, clear structure, and demonstrable expertise help both.
The exception:
Some SEO tactics (click-bait titles, thin content farms) actually hurt GEO. If you’re doing those, you’ll need to choose. If you’re doing quality SEO, GEO is additive.
Team structure matters more than budget allocation.
What doesn’t work:
Separate SEO and GEO teams competing for resources.
What works:
Unified search team with specialists in both areas.
Our structure:
Search Team (8 people)
├── Technical SEO (2)
│ └── Owns: Speed, crawlability, schema, ALL technical
├── Content Optimization (3)
│ └── Owns: Both SEO and GEO content optimization
├── Authority Building (2)
│ └── Owns: Links, mentions, citations, E-E-A-T
└── Analytics (1)
└── Owns: Tracking across Google AND AI platforms
Key principles:
The result:
No internal conflict because there’s no “us vs them.”
Budget allocation:
We don’t split budget by channel. We fund capabilities (content, technical, authority) and those capabilities serve both channels.
Let me share our transition from SEO-only to unified approach:
Phase 1 (Q1): Foundation audit
Phase 2 (Q2): Unified optimization
Phase 3 (Q3-Q4): Measurement integration
Results after 9 months:
| Metric | Start | Now | Change |
|---|---|---|---|
| Google top 10 keywords | 180 | 220 | +22% |
| AI mention rate | 18% | 47% | +161% |
| Combined search traffic | 50K | 72K | +44% |
Key insight:
The SEO team didn’t lose anything. They gained a new skill and expanded their impact.
Content is where SEO and GEO either align or conflict.
Content that works for BOTH:
| Format | SEO Benefit | GEO Benefit |
|---|---|---|
| Direct answer in first paragraph | Featured snippets | Easy AI extraction |
| Clear H2 structure | Crawlability, CTR | AI comprehension |
| Explicit entity naming | Semantic SEO | Entity recognition |
| Data tables | Rich snippets | Structured extraction |
| FAQ sections | PAA targeting | Direct Q&A for AI |
Content that works for SEO but hurts GEO:
Content that works for GEO but is neutral for SEO:
The rule:
If content is genuinely useful, well-structured, and expert-driven, it works for both. The conflict usually means someone’s doing SEO wrong.
Let’s talk actual 2026 budget numbers:
Industry benchmarks I’m seeing:
| Company Type | SEO % | GEO % | Notes |
|---|---|---|---|
| Traditional enterprise | 85% | 15% | Just starting GEO |
| Digital-first B2B | 70% | 30% | Active in both |
| Tech/SaaS | 60% | 40% | Leading edge |
| AI-adjacent industries | 50% | 50% | All-in on AI visibility |
Where the spend goes:
SEO budget:
GEO budget:
The efficient approach:
Shared investments (content, technical) should count toward BOTH. Don’t double-count.
My recommendation for 2026:
Start at 80/20, move toward 70/30 by Q3, evaluate for 60/40 in 2027.
Unified measurement prevents conflict.
Our integrated scorecard:
| Metric | Weight | How We Track |
|---|---|---|
| Organic traffic | 30% | Google Analytics |
| AI visibility rate | 25% | Am I Cited |
| Combined share of voice | 20% | Ahrefs + AI monitoring |
| Conversion from search (all) | 25% | Attribution model |
The key:
When you measure success across BOTH channels, team incentives align.
Old way (creates conflict):
New way (creates collaboration):
What changed when we unified:
Adding the executive reporting angle:
How to present to leadership:
Don’t say: “We need separate SEO and GEO strategies” Say: “We’re unifying search strategy across traditional and AI discovery”
The narrative:
“40% of AI citations come from top-ranking pages. Strong SEO is the foundation of GEO. We’re building on our SEO success to capture AI visibility too. Same content investments, expanded reach.”
The metric that matters most:
Total addressable search visibility = Google impression share + AI citation share
If you’re gaining one but losing another, you’re not winning.
Dashboard we show CMO:
TOTAL SEARCH VISIBILITY: 67% (+12% QoQ)
├── Google visibility: 78% (stable)
├── ChatGPT visibility: 45% (+25%)
├── Perplexity visibility: 52% (+18%)
└── Google AI Overviews: 61% (+8%)
When leadership sees a single number that includes both channels, resource allocation becomes straightforward.
Practical steps to unify SEO and GEO efforts:
Week 1-2: Audit
Week 3-4: Process updates
Week 5-6: Technical alignment
Week 7-8: Measurement
Ongoing: Optimization loop
Time investment:
This is a 2-month integration project, then becomes business as usual.
This thread resolved our internal conflict. Here’s our new approach:
Organizational change:
New resource allocation:
| Category | % of Budget | Serves |
|---|---|---|
| Content optimization | 45% | Both SEO + GEO |
| Technical foundation | 25% | Both SEO + GEO |
| Authority building | 20% | Both SEO + GEO |
| Channel-specific | 10% | SEO-only or GEO-only tactics |
Process changes:
New team structure:
Expected outcomes:
| Metric | Current | Target (6 months) |
|---|---|---|
| Google top 10 | 200 keywords | 230 keywords |
| AI citation rate | 17% | 40% |
| Combined search traffic | 55K/month | 75K/month |
The conflict is gone because we eliminated the artificial separation.
Thanks everyone for the frameworks.
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