Generative Engine Optimization (GEO) | AI Search Visibility | Codelabs
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  • Analyst checking how an AI assistant answers a brand question
  • Structured data being validated on screen
  • Team reviewing how a brand is described by AI answer engines
  • A machine-readable llms.txt file open in an editor

People Are Asking The Assistant, Not The Search Box

A growing share of buyers now put their question to ChatGPT, Perplexity, Copilot or Google’s AI Overviews and act on the answer without visiting a single website. If your business is not among the sources those systems draw on, you are invisible in that conversation — no matter where you rank in the traditional results.

Generative engine optimisation is the work of becoming a source AI systems can find, parse and cite correctly. It overlaps with SEO but is not the same job: search rewards position, generative engines reward being quotable and unambiguous.

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    Machine-Readable, Not Just Crawlable

    Structured data, clean entity definitions and a published llms.txt, so AI systems read a description you wrote rather than one they inferred.

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    One Consistent Story

    Assistants weigh corroboration across sources. If your name, location and founding year disagree across directories, they hedge — or pick the wrong one.

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Why Choose Codelabs For GEO

  • We publish llms.txt on our own site

    codelabs.ae publishes its own llms.txt. We are not recommending something we have only read about.

  • Entity consistency across the web

    Assistants corroborate. We align your name, location and facts across the directories and profiles they read.

  • Structured data done properly

    Organization, Service, FAQ and Article markup implemented against the spec, not sprinkled and hoped for.

  • Honest measurement

    GEO tracking is immature. We tell you what can be measured, what can only be sampled, and we do not invent a rank number.

Real Work, Real Results

Monitor showing a rising search analytics chart - the codelabs.ae case study
Technical SEO
GEO

codelabs.ae — Our Own Site

The rebuild of our own search foundation included publishing llms.txt so AI answer engines read a description we wrote rather than one they inferred. Clicks up 126%, crawl waste down 78%.

Read Full Case Study
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Our GEO Process

  • Baseline

    We put your buyers' real questions to ChatGPT, Perplexity, Copilot and AI Overviews and record what comes back — including who gets cited instead of you.

  • Fix the machine layer

    Schema, entity definitions, llms.txt, and the factual pages an assistant needs to answer confidently about you.

  • Make it quotable

    Clear claims, plain figures, self-contained answers. Assistants lift passages that stand on their own; marketing prose does not survive extraction.

  • Re-sample

    The same questions asked again on a schedule, so you can see whether you are being cited more often than before.

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What's Included

  • AI Answer Audit

    How ChatGPT, Perplexity, Copilot and AI Overviews currently answer questions about you — and who they cite instead.

  • llms.txt Authoring & Publishing

    A machine-readable description of what you do, so assistants stop inferring it from scraps.

  • Structured Data Implementation

    Organization, Service, FAQ, Article and Breadcrumb schema, validated rather than assumed.

  • Entity Consistency Cleanup

    Name, address, founding year and service list aligned across the directories assistants corroborate against.

  • Quotable Content Rewrites

    Key pages rewritten so claims are self-contained and extractable, rather than dependent on surrounding prose.

  • Citation Tracking

    The same buyer questions re-sampled on a schedule, with a record of whether you were cited.

  • Traditional SEO Alignment

    GEO does not replace SEO. Crawlability and indexing remain the floor; we keep both moving together.

  • Reporting In Plain Language

    What changed, what is still not working, and what is genuinely too early to tell.

What Does It Cost?

  • Starter
    $500 $1,500/mo

    Audit, llms.txt, schema and entity cleanup, with quarterly re-sampling.

  • Growth
    $1,500 $4,000/mo

    GEO and SEO run together, with ongoing content rewrites and monthly citation tracking.

Tools & Technologies We Use

  • Ll
    llms.txt
  • Sd
    Schema.org JSON-LD
  • Gs
    Search Console
  • Cg
    ChatGPT
  • Px
    Perplexity
  • Ai
    Google AI Overviews
  • Cp
    Copilot
  • Ga
    GA4

Generative Engine Optimisation FAQs

Common questions about GEO, AI search and being cited by assistants.

  • What is generative engine optimisation, in plain terms?

  • Does GEO replace SEO?

    No, and be careful of anyone who says it does. Assistants still crawl the open web, so if your pages are not indexable you are invisible to both. GEO sits on top of solid SEO rather than instead of it — which is why we run them together.

  • Can you guarantee ChatGPT will recommend us?

    No. Nobody can, and any agency promising it is selling something they cannot deliver. What we can do is remove the reasons an assistant would skip you or describe you wrongly, then measure whether citations improve.

  • How is this measured?

    Honestly: imperfectly. There is no rank tracker for AI answers. We sample — asking a fixed set of your buyers' real questions across the major assistants on a schedule and recording whether you appear and how you are described. It is a sample, and we report it as one.

  • What is llms.txt and do we need one?

    A plain-text file at your domain root describing what your organisation does and pointing at your key pages, written for AI systems rather than people. It is a young convention, not yet universally consumed, and cheap to publish. codelabs.ae has one, which is how we know what it does and does not do.

  • How long before we see anything?

    Slower than SEO, and less predictable. Assistants refresh their view of a business on their own schedule. We would expect a first meaningful re-sample at three months, and we will tell you if nothing has moved.

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