SEO & AI Search

Be the answer — in Google and in AI

Search did not disappear, it split. Some of your buyers still type a query into Google. A growing share ask ChatGPT, Perplexity or Gemini and never see a results page at all. You need to win both.

26
Languages we optimise for
2
Search surfaces: classic and generative
0
Link schemes or purchased backlinks
A search and analytics composite with a wireframe globe, an ROI panel and the SEO and AEO service stack

The work, in specifics

What technical and generative search optimisation actually involves.

Technical foundation

Crawlability, index management, site architecture, Core Web Vitals, canonical logic and log-file analysis. Nothing else works until this does.

International SEO

hreflang networks, per-market URL structures, localised slugs and separate sitemaps per language. The hard part of multilingual search, done properly.

Structured data

Complete Schema.org graphs — Organization, Service, Article, FAQ, Breadcrumb — connected properly rather than scattered as isolated blocks.

AI answer-engine visibility

llms.txt and llms-full.txt endpoints, crawler access policy, entity clarity and factual density formatted so models can extract and cite you accurately.

Content that earns position

Topic clusters built from real query research, written by people who understand the subject, in the language of the market.

Measurement across both surfaces

Classic rank and traffic tracking, plus periodic auditing of how the major AI engines describe and cite your business.

Why GEO is not just SEO with a new name

Traditional SEO optimises for a ranked list of links. Generative engines do something different: they retrieve, synthesise and cite. That changes what makes content win.

Models cite what they can extract cleanly

An answer engine needs to find a specific, self-contained factual claim it can attribute to you. Content built as one long persuasive argument does not survive that process. Content built with clear headings, direct answers near the top of each section and unambiguous entity naming does.

Machine-readable endpoints matter

The llms.txt convention gives AI crawlers a clean, JavaScript-free description of your business, services and key facts. It is still an emerging standard, which is precisely why implementing it now is cheap and differentiating. This site publishes both llms.txt and llms-full.txt.

Entity clarity beats keyword density

Models build a representation of who you are, what you do and where you operate. Inconsistent naming, contradictory addresses across directories, or vague service descriptions all degrade that representation. Fixing it is unglamorous and highly effective.

We do not buy links

Purchased backlinks are a liability that eventually gets discounted or penalised. Authority comes from being genuinely worth citing — which is a content and PR problem, not a procurement one.

How the engagement runs

  1. Full technical audit

    Crawl, index coverage, Core Web Vitals, structured data validation, hreflang verification and an AI-visibility baseline across the major answer engines.

  2. Fix the foundation

    Technical issues resolved in priority order by actual impact, not by how many red items it clears in a scanning tool.

  3. Architecture and entities

    Site structure, internal linking, structured data graph and machine-readable endpoints built out.

  4. Content programme

    Topic clusters mapped to real queries and buying stages, produced in each target language.

  5. Monitor and iterate

    Monthly reporting on rankings, traffic, conversions and how AI engines currently describe you.

What is included

  • Complete technical SEO audit and remediation
  • International hreflang architecture
  • Full Schema.org structured data graph
  • llms.txt and llms-full.txt implementation
  • AI crawler access policy in robots.txt
  • Keyword and query research per market
  • Content strategy and editorial calendar
  • On-page optimisation across all templates
  • Core Web Vitals performance work
  • Monthly reporting on search and AI visibility
  • Google Search Console and Bing Webmaster setup

Frequently asked questions

How long does SEO take to work?

Technical fixes can show up within weeks. Content and authority work realistically takes four to six months to move competitive terms, and longer in crowded markets. Anyone promising first-page rankings in thirty days is describing either a non-competitive term or a tactic that will cost you later.

What is GEO and do we actually need it?

Generative Engine Optimisation is making your business findable and correctly citable in AI answer engines — ChatGPT, Perplexity, Gemini, Claude and Google's AI overviews. Whether you need it depends on your buyers, but the share of research happening in those tools is growing fast, and the work overlaps heavily with good technical SEO. The marginal cost of doing it is low.

Do you buy backlinks?

No. Purchased links are a debt that comes due. We build authority through content genuinely worth referencing, digital PR and fixing the technical and entity issues that suppress the authority you already have.

Can you do SEO in languages your team does not speak?

We work in 26 languages using native speakers for content and query research. Machine translation is not used for anything published — it produces content that reads as foreign to the market and performs accordingly.

Explore the rest of what we do

Brand Identity & Design Systems

Identity work that survives contact with reality — logo, system, guidelines and every asset your team needs to apply it.

Clients

Brands that trusted us with the work

Retail, automotive, industry, healthcare, education and property — across Türkiye and beyond.

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In their words

What clients say

Unedited, and published with permission.

Tell us what you are trying to grow.

One team. Three offices. Twenty-six languages. Send us the problem and you get a senior answer — not a sales script.

A written proposal within one business day, in your language.