AEO vs GEO vs SEO — What's the Difference for Local Businesses?
SEO optimizes for search result rankings and clicks; AEO optimizes for being named in AI answer engines; GEO optimizes for generative systems like ChatGPT that synthesize recommendations from multiple sources. Local businesses need all three signal classes — reviews, listings, entity data — but measure success differently for each.
Three acronyms, one buyer journey
Your customer might:
- Google "best dentist Nashville" and read AI Overviews (SEO + AEO)
- Ask ChatGPT "Who should I see for veneers downtown?" (GEO + AEO)
- Click your site from a Perplexity citation (SEO + LLM discovery)
Three acronyms describe overlapping work on different surfaces. Confusion is marketing noise, not buyer behavior.
Definitions
SEO — Search Engine Optimization
Classic discipline: improve visibility in search engine result pages (Google, Bing) through technical health, content relevance, backlinks, and local pack factors.
Success metrics: keyword rankings, organic traffic, clicks, conversions from search.
AEO — Answer Engine Optimization
Optimize for systems that return direct answers — naming businesses, summarizing options — rather than only ten blue links. Includes Google AI Overviews, voice assistants, and chat interfaces.
Success metrics: mention rate, share of AI voice, platform coverage.
Service overview: AEO services.
GEO — Generative Engine Optimization
Optimize for generative AI (ChatGPT, Gemini, Claude) that composes new text from training data, browsing, and retrieval. Emphasizes synthesis quality and source diversity.
Success metrics: same as AEO in practice — mention rate and competitive share — measured per generative platform.
Service overview: GEO services.
Where LLM SEO fits
LLM SEO is the umbrella: any large language model recommending businesses. AEO and GEO are subsets marketers use for positioning.
Side-by-side comparison
| SEO | AEO | GEO | |
|---|---|---|---|
| Target surface | SERPs, local pack | Answer engines broadly | Generative chat models |
| User outcome | Click to site | Named in answer | Named in composed reply |
| Primary KPI | Rank, CTR | Mention rate | Mention rate (per engine) |
| Reviews | Indirect via local SEO | Direct citation | Direct citation |
| Backlinks | High weight | Moderate via citations | Moderate via retrieval |
| Schema / llms.txt | Rich results | Entity clarity | Grounding anchors |
| Platform control | Google guidelines | None — third-party AI | None — third-party AI |
| Guarantees | Ethical agencies avoid rank guarantees | No placement guarantees | No placement guarantees |
Tactics that overlap
Local businesses should not silo budgets prematurely. These signals help all three:
- Google reviews — volume, rating, specific praise themes
- NAP consistency — Google, Apple BC, Bing, Yelp, industry dirs
- Google Business Profile — complete, fresh, Q&A answered
- Entity profile — JSON-LD, llms.txt, factual About page
- Service pages — clear geography, scope, FAQs
- Citable data — sourced statistics on your domain
SEO-specific additions: site speed, internal linking, authoritative backlinks.
AEO/GEO-specific additions: six-platform mention tracking, platform blind-spot remediation, AI accuracy repair when models state wrong facts.
Tactics that diverge
SEO-only focus areas:
- Keyword research for SERP volume
- Link building campaigns
- Core Web Vitals tuning for crawl budget
AEO/GEO-only focus areas:
- Buyer-intent prompt libraries for sampling
- Cross-engine competitor mention tables
- Apple Business Connect — often under-claimed vs Google
- Press and studies optimized for quotability, not just domain authority
- Super Pixel–class attribution for AI-referred traffic
The measurement gap
Most SMBs have Google Analytics. Few have share of AI voice baselines.
Without AEO/GEO measurement, you optimize SEO while losing the recommendation layer. Symptom: strong Search Console data, but ChatGPT never says your name.
Start: free AI visibility scan · How to check what ChatGPT says.
Platform overlap reality
Do not assume one win generalizes. Industry sampling suggests roughly 11% domain overlap across major AI platforms for comparable local prompts — different engines, different source mixes.
Read: The 11% platform overlap problem.
How AIrecommend.ai packages the work
We are not a traditional SEO agency. We:
- Measure six platforms
- Map gaps to eight Growth Engine modules
- Deliver with client approval on every outbound action
- Prove movement with monthly rescans and Super Pixel
Growth $4,997/mo — tracking, reviews, listings, entity, Super Pixel
Dominance $9,999/mo — adds GBP autopilot, studies, press, awards, accuracy repair
Choosing priorities by business stage
| Stage | Emphasis |
|---|---|
| No baseline | Scan + fix NAP and GBP first |
| Strong SEO, weak AI mentions | AEO/GEO signal work — reviews, entity, citations |
| Weak everywhere | SEO fundamentals + parallel AI tracking |
| Wrong facts in AI answers | Accuracy repair + listing/schema fixes |
Bottom line
- SEO — still necessary for discoverability and site traffic
- AEO — necessary for being named in answer engines
- GEO — same practical work, generative-engine framing
Buyers search different terms; your delivery stack should be unified. Measure honestly, fix verifiable signals, refuse placement guarantees.
Further reading: What is AEO? Complete guide · AI SEO services.