Visibility diagnostics
I test the prompts your buyers actually use, then measure how often your brand is mentioned, cited, or recommended, and against which competitors. I run this in Profound, so the baseline is a number, not a guess.
AI Search Visibility ยท GEO / AEO
I get brands cited and recommended inside AI answers.
I come from earned media and outreach, so I work on the part of AI visibility that most shapes the answer: the third-party mentions and citations models read when they choose what to say about you.
Sofiko Saltkhutsishvili
The problem
Buyers ask AI before they ask Google.
Before they visit your site, buyers ask ChatGPT, Perplexity, and Gemini what to use and who to trust.
The answer is built from sources you do not control, and it is often wrong, or it leaves you out entirely.
Most brands have never checked what these tools say about them.
What I do
Getting your brand recommended by AI.
I call this work brand narrative control: the practice of managing what the rest of the internet says about a brand, so that the answer a language model generates about it is accurate and favourable.
Content where models look
Strategy and content for Reddit, LinkedIn, YouTube, and your own site. Not content marketing in general. These specific surfaces, because they are the ones that keep turning up as citations in AI answers.
Earned media and citations
Getting your brand mentioned on the third-party sources models already trust. This is the part almost nobody is doing properly, and it is the work I have done for the last five years.
How it works
Measure, fix, build, measure again.
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1
Measure the baseline
Test the prompts your buyers actually use in ChatGPT, Perplexity, and Gemini, and record how often you are mentioned, cited, or recommended, and against which competitors. I run this in Profound.
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2
Fix what the models get wrong
Correct the facts and gaps in the sources they already read, so the answer about you is accurate before we try to make it bigger.
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3
Build presence where they look
Earned media, third-party citations, and content on Reddit, LinkedIn, YouTube, and your own site. The surfaces that keep turning up as sources.
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4
Re-measure the shift
Back to Profound to see what changed: more mentions, more citations, and a better position against your competitors.
About
Five years in earned media, now focused on AI search.
Sofiko Saltkhutsishvili is an AI search visibility strategist who gets brands cited and recommended inside AI answers from ChatGPT, Perplexity, and Gemini.
She is currently building the AI visibility and earned media service line at Foundation Marketing, creating content strategies for Reddit, LinkedIn, YouTube, and brands' own websites. Before that she ran earned media and outreach at uSERP for brands including monday.com, Freshworks, and Hotjar. Earlier, at SEO Sherpa, she built an affiliate program and an agency founder community from zero.
She works remotely from Tbilisi, Georgia, with international agencies and brands.
Don't take my word for it.
She walked us through the exact tools, channels, and strategy we needed, and grounded everything in real experience from working with international agencies. The session was clear, practical, and genuinely useful. We're planning to work with her again.
Davit Tsilosani
CEO & Founder, 10XSEO
Testimonials
What people I've worked with say
Hover over the cards to pause and read. The full list is repeated below if you'd rather scroll.
FAQ
Questions, answered directly
What is AI search visibility (GEO/AEO)?
AI search visibility, also called generative engine optimization (GEO) or answer engine optimization (AEO), is the practice of making a brand appear in the answers generated by AI systems such as ChatGPT, Perplexity, Gemini, and Google's AI Overviews. The goal is to be cited, recommended, and accurately described when buyers ask these tools for advice or recommendations.
What is brand narrative control?
Brand narrative control is the practice of managing what the rest of the internet says about a brand, so that the answer a language model generates about it is accurate and favourable.
What actually influences whether an AI recommends a brand?
An AI recommends a brand based on what its sources say about it, not on how heavily a website is optimised. Language models are trained on and cite the wider internet, so the brands that get named are the ones with consistent, credible third-party coverage: mentions, reviews, and citations on the sites models already trust. That makes earned media and digital PR the inputs that matter most.
How is GEO different from traditional SEO?
Traditional SEO optimises pages to rank in a list of search results, while GEO works to get a brand cited and recommended inside AI-generated answers. Because AI systems build one response from many sources, GEO focuses on citations, third-party mentions, structured data, and clear factual passages that models can extract and quote.
Why is GEO closer to digital PR than to technical SEO?
GEO is closer to digital PR because language models decide what to say about a brand from third-party sources, not from on-page tags. Technical SEO still matters for crawling and structure, but the lever that changes an AI answer is what other credible sites say about you. Getting mentioned, cited, and reviewed is an earned-media and PR job.
Does GEO replace SEO?
GEO does not replace SEO. Traditional search is still where a large share of buyers start, and many of the sources AI models cite are themselves ranked by search. GEO runs alongside SEO: SEO helps you get found on Google, and GEO helps you get recommended inside AI answers.
How long does it take to see a change in AI answers?
Most brands see the first measurable movement in AI answers within a few months, not days. New third-party mentions have to be published and then picked up by the models, and different tools refresh at different rates. Measuring in Profound at the start and again later is how you see the shift rather than guess at it.
Who does Sofiko work with?
Sofiko Saltkhutsishvili works with marketing agencies and brands that want to be cited and recommended by AI search tools like ChatGPT, Perplexity, and Gemini. She works remotely from Tbilisi, Georgia, with international agencies and brands.
How do you measure whether a brand is visible in AI search?
AI search visibility is measured by repeatedly testing the prompts buyers actually use in ChatGPT, Perplexity, and Gemini, then tracking how often the brand is mentioned, cited as a source, or recommended, and in what context. I run this in Profound, which produces comparable indicators such as share of voice against competitors, citation frequency, and the accuracy of how the brand is described.
Let's get you into the answer.
If buyers in your market are asking AI who to use, it is worth knowing what it says about you. Email me, or book a call.
or connect on LinkedIn.