AI SEO (AEO) Guide
AI SEO — also called AEO (Answer Engine Optimization) or GEO — is the practice of optimizing your brand to be mentioned inside the answers of AI assistants like ChatGPT, Gemini, Claude and Perplexity. Classic SEO competes for a position in a list of links; AI SEO competes for a place inside the single answer users actually read.
Last updated: ·9 min read
The 5 terms you need
Answer Engine Optimization — optimizing to be the answer, not a link. Umbrella term for the discipline.
Generative Engine Optimization — the same discipline, emphasizing generative engines (ChatGPT, Gemini, Claude).
Share of Voice — the share of AI answers in your category that mention your brand; the core KPI, scored 0-100.
The AI-generated answer block Google shows above classic results — fed by Gemini.
A root-level text file summarizing your site for AI models — the explanatory counterpart of robots.txt.
How AI SEO differs from classic SEO
| Classic SEO | AI SEO (AEO/GEO) | |
|---|---|---|
| Outcome | Rank #1-10 among links | Be one of the few names in the answer |
| User behaviour | Types keywords, clicks results | Asks full questions, reads one answer |
| Currency | Backlinks and authority | Citability: facts, structure, entity clarity |
| Feedback loop | Rank trackers, Search Console | Answer scans: mention / position / sentiment per engine |
The two are complementary, not rivals: a crawlable, well-linked site remains the entry ticket, because retrieval-based engines cite the open web. AI SEO is the extra layer that decides whether the answer engines quote you or a competitor from that same web.
The 6-step plan: measure → fix → prove
Measure your baseline
Before touching anything, scan your brand across the 5 engines on a fixed question set. A dated baseline is what makes every later claim provable.
Fix the entity layer
schema.org JSON-LD on key pages, llms.txt at the root, identical name/description across site, socials and directories. This is the cheapest, fastest set of wins.
Restructure content answer-first
Every important page should answer its core question in the first two sentences. Add FAQ sections with FAQPage markup for the questions buyers actually ask.
Publish citable facts
Numbers, comparison tables, definitions, dated statistics. Engines quote sources that give them something concrete to quote.
Spread across platforms
Site + socials + directories + review platforms, all consistent. Visibility concentrated on one engine or one channel is fragile by design.
Re-scan weekly and prove it
Compare each scan against the dated archive. Rising mention rate and position is your before/after evidence — for your team, your boss or your client.
Steps 2-4 are unpacked in detail in the GEO guide and the llms.txt guide.
The Turkish-language opportunity
AI answers in Turkish draw on a far thinner pool of structured content than English — which means well-executed Turkish AI SEO can earn mentions much faster than in saturated English niches. The tooling gap is just as stark: of the AI visibility platforms we've analyzed (Profound, Otterly, Peec, Trakkr, AthenaHQ, Scrunch), none offers a Turkish interface. SOV Tracker is built bilingual (Turkish + English) from day one.
Step 1 starts here: measure your baseline
Free scan across the 5 engines — no signup, results in about 60 seconds.
Frequently asked questions
What is the difference between AEO and GEO?
They're near-synonyms for the same discipline. AEO (Answer Engine Optimization) is the older umbrella term for optimizing toward answer-giving systems; GEO (Generative Engine Optimization) stresses generative AI engines specifically. In this guide 'AI SEO' covers both: the work of earning mentions in AI-generated answers.
Is classic SEO dead?
No — it's the foundation AI SEO stands on. Retrieval-based engines (Perplexity, AI Overviews) cite pages from the same web index SEO optimizes, and an uncrawlable site is invisible to both. What changed is that ranking alone no longer guarantees discovery: you also need to be quotable, structured and entity-clear so the answer layer picks you.
Which metrics should I track for AI SEO?
Four core ones: (1) mention rate — how often engines name you on a fixed question set; (2) position — where in the answer you appear; (3) sentiment — how you're described; (4) AI referral traffic — visitors arriving from ChatGPT, Perplexity, Gemini and Copilot. The first three combine into a Share of Voice (SOV) score you can trend over time.
How long until AI SEO shows results?
Expect weeks, not days — and treat any promise of guaranteed timelines with suspicion. Retrieval-based engines can reflect on-site changes relatively quickly; engines answering from model knowledge update more slowly. The honest approach is measurement: take a dated baseline scan, apply changes, re-scan weekly and compare.
Does AI SEO matter for Turkish-language brands?
Arguably more than in English. Turkish-language AI answers are built from a much thinner content pool, so well-structured Turkish content can win mentions faster than crowded English niches. Notably, among the AI visibility tools we've analyzed (Profound, Otterly, Peec, Trakkr, AthenaHQ, Scrunch), none offers a Turkish interface — SOV Tracker supports Turkish and English natively.
What does this mean for agencies?
A new billable service line with a measurable deliverable. Agencies run the visibility scan for a prospect, present the scorecard, apply the fix layer (llms.txt, schema, content restructuring) and prove impact with before/after scans from the dated archive. SOV Tracker's agency plan supports white-label scorecards for exactly this workflow.
Related tools & guides
Choosing between platforms? Compare SOV Tracker with Otterly, Peec and Profound.
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