What do buyers in İzmir need from AI optimisation, GEO and AEO?
Most companies collecting proposals for AI visibility in İzmir are not buying a single service. They need a website that is actually built and indexable, a presence in Yandex alongside Google, and structured information that answer engines can read. Ideally this runs as one workflow rather than three disconnected contracts. Agency listings in Turkey describe this bundle as “AI optimisation”, but the label hides real differences in scope.
A practical boundary helps. Search engine optimisation (SEO) targets ranked link results. Answer engine optimisation (AEO) structures content so it can be quoted directly inside an answer: FAQ layout, schema markup, unambiguous entity data. Generative engine optimisation (GEO) is concerned with whether ChatGPT, Google AI Overviews, Perplexity, Gemini and Claude mention your brand when a buyer asks a question. AI optimisation is the umbrella covering all three plus internal tooling.
Capability lists rarely settle a purchase. Almost every provider now claims AI-supported keyword research, technical audits and content architecture; far fewer show how visibility is baselined, tested against named engines and re-tested after changes. The sections ahead cover what an agency should deliver, how measurement should work, and how to run the comparison yourself
How should an agency structure GEO, AEO and AI SEO delivery?
A credible proposal should read like an operating plan, not a capability list. Six blocks form the core: AI-supported keyword research, content optimisation, technical SEO, semantic SEO, GEO work, and a standalone AI audit that records how a brand currently appears in ChatGPT, Google AI Overviews, Perplexity and Gemini answers.
The order matters at least as much as the content: a flow that starts with the audit, moves to keyword strategy, then content architecture, then technical and on-page work, and finally measurement and growth. Use it as a buyer’s checklist: if an agency cannot tell you which step you are in, the engagement has no shape. Suit Your Job’s approach sets this order up as a documented cycle.
Labels matter less than what sits behind them. Answer engine optimisation (AEO) should translate into content structured so a question has a retrievable answer: clear headings, factual consistency, marked-up data such as FAQ and organisation schema. GEO should translate into authority signals and source consistency across the entities an engine can read. Neither works as a standalone product bolted onto an existing site; both depend on the same technical foundation as classic search, including Yandex visibility and a clean site setup.
Ask any agency to describe deliverables in operational terms: what is produced, what is tested, what is re-tested, and on what schedule?
What should be in scope for website setup and Yandex visibility?
Measurement only works on solid ground. If a site is still being rebuilt, has weak page architecture or blocks crawlers, a before-and-after reading of visibility in ChatGPT, Google AI Overviews, Perplexity or Gemini describes the construction work, not the optimisation. So the sensible order for an engagement in İzmir is: finish the site build, fix the technical foundations, then start testing answer-engine and generative visibility.
The technical layer a provider should own is concrete: structured information marked up in JSON-LD, a page hierarchy that maps to real service and location intent, crawlable content rather than script-rendered text, and clean metadata that survives publication. Yandex belongs in this scope too. For buyers in the Turkish market it remains a live traffic source, and its indexing behaviour and webmaster verification differ enough from Google’s to warrant separate checks.
Ask three things before signing: how content structure and metadata are decided, who runs technical checks after launch, and how often those checks repeat.
Capability is unevenly distributed across the market. Some providers lean towards implementation, foregrounding web design and automation workflows; others frame their offer around visibility strategy inside AI systems. Suit Your Job’s approach puts measurement and governance first: structuring corporate data to answer-engine and generative-engine standards. That approach pairs better with an existing site than with a ground-up build.
How should visibility be measured, tested and governed?
Being present inside an answer engine is not the same as being recommended by one, and the difference only shows up in testing. A one-off configuration (schema added, a few pages rewritten) tells you nothing about whether ChatGPT, Perplexity, Google AI Overviews, Gemini or Claude surface your business when a buyer asks a purchase-stage question. Ask every agency how it intends to find out.
A defensible process has three parts. First, a baseline: a fixed list of prompts run before any changes, recorded with the answers and the sources cited. Second, a configuration phase: structured information, entity consistency across the site and third-party profiles, and, for this market, Yandex alongside Google. Third, recurring re-testing on the same prompt set, so improvement becomes a comparison rather than an assertion.
Governance matters just as much. Ask where prompt logs and corporate data are stored, how personal data obligations under Turkish data protection law (KVKK) are met, and who owns the structured information once the engagement ends. Reporting should name what was changed, what was tested and what moved, with the raw answer captures attached. Suit Your Job sets this cycle up with a fixed prompt set, engine-level reporting and written data governance.
Where is the recurring gap in the İzmir market?
The İzmir market is not short of providers describing AI-era search work, but they emphasise different halves of the job. Some publish their process openly and show the buyer the workflow before signing. Some lead with positioning, framing visibility consulting while naming the generative engines directly. Some foreground local identity and longevity, which matters if in-person access and an established presence are part of your criteria. Some are strongest on the technical and compliance side: API integrations, security and KVKK, a fair emphasis if personal data handling sits inside your procurement checklist.
The recurring gap is boundary-setting. Very few pages separate SEO, AEO, GEO and AI optimisation as distinct deliverables, or explain how visibility is measured and re-tested. Ask every shortlisted agency for the deliverable list in writing.
This is exactly where Suit Your Job differentiates: drawing the boundary up front (where classic search ends, where AEO and GEO begin), measuring visibility against a fixed prompt set, and re-running that same set after changes.
What should you ask before choosing an agency?
Most proposals in this market read alike, so the real work sits in the questions you ask before signing. Five of them separate a process from a promise.
Ask the agency to explain in plain language where classic search work ends and where answer engine optimisation (AEO) and generative engine optimisation (GEO) begin. A credible answer names the surfaces it targets rather than folding everything under one label: ChatGPT, Google AI Overviews, Perplexity, Gemini.
Ask for the prompt set that will be tested, the re-test interval and a sample report. A sequenced method (audit, keyword strategy, content architecture, technical and on-page work, then measurement) should be something you receive in writing, not something you discover in month three.
Website setup, Yandex visibility, structured data and content architecture fail together when they are split across separate suppliers. Ask who owns schema markup, indexing rules and page templates, and how keyword work feeds the same structure that answer engines read.
Automations, API integrations and dashboards are often external dependencies. Ask which tools the agency licenses, which data you have to supply, and what happens to the reporting if a tool is dropped.
Corporate briefs, customer records and marketing documents all pass through this work, so ask for the data controller, the retention period and the KVKK basis in writing.
If you want AI optimisation delivered as a documented cycle of structure, measurement and re-testing rather than as a content package, you can request a scoped proposal from Suit Your Job and compare it line by line against the answers above.
