Tugam

End-to-end services

Generative Engine Optimization

Visibility inside ChatGPT, Perplexity, Gemini and Google AI Overviews, where buyers now start their research.

You get: an entity and citation strategy, answer-first content, monthly mention tracking.

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What we build and run

AI Visibility Audit

We run your buyers' real questions through the AI engines they actually use and show you exactly where you are cited, absent or wrong.

Entity & Citation Strategy

AI engines cite what they can verify. We make your company's identity consistent everywhere it appears and earn the third-party mentions that back it up.

Answer-First Content

AI engines quote passages that stand alone. We write content that opens with the answer, proves it, and survives being lifted out of the page.

LLM Mention Tracking

We run your prompt set across the major AI engines every month and report exactly how your mention, citation and recommendation rate is moving.

How it runs

The Tugam Growth Engine

AI carries the volume. People make the calls.

  • GEO aims to make an organisation the cited source inside AI-generated answers, rather than one of many links a user may never open.
  • AI answers are reducing clicks: Pew found that clicks on traditional results fell from 15% to 8% of visits when a Google AI summary appeared.
  • Published evidence favours verifiable content, such as sources, quotations and statistics, while keyword stuffing underperforms.
  • GEO rests on SEO fundamentals; llms.txt and structured data are sensible hygiene, not shortcuts to citation.

Questions we get

What is the difference between GEO and SEO?
SEO aims to rank pages in search results, while GEO aims to have your content cited or your organisation recommended inside AI-generated answers. GEO depends on SEO fundamentals such as crawlability and indexing, but it rewards clear, verifiable passages and consistent entity information.
How can a company appear in ChatGPT, Perplexity or Google AI Overviews?
No method guarantees inclusion. The practical levers are being crawlable and indexed, writing answer-first passages supported by sources and statistics, describing your organisation consistently across the web, and earning mentions from credible third parties.
Is llms.txt necessary for AI search visibility?
No. It is a 2024 proposal rather than an adopted standard, and Google states that no AI text files are needed to appear in its AI features. It is inexpensive to add but should not be expected to change visibility on its own.
How do you measure generative engine optimization?
Through a fixed set of buyer prompts run regularly across the relevant engines and languages, recording mentions, citations and recommendations against competitors. This is complemented by AI referral traffic in analytics and, ultimately, by pipeline.

Related reading

All articles

Comparisons

SEO vs GEO: Ranking on Google vs Being Cited by ChatGPT

A content team that spent years earning first-page Google rankings is watching a growing share of those searches get answered inside an AI Overview before anyone clicks through. The two disciplines share a technical foundation, but they measure success differently and increasingly need to be planned together.

Read the article
Service guides

Generative Engine Optimization (GEO): being cited when AI answers

AI assistants increasingly answer the questions buyers once took to a search engine. Being cited in those answers depends on evidence, clarity and consistency more than on any single technical trick.

Read the article

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