GEO Consultant: Shape What AI Tells Your Buyers
Nati Elimelech is a GEO consultant who gets brands cited by ChatGPT, Gemini and AI Overviews. Built on 20+ years of technical SEO and Wix-scale systems.
What Is GEO
GEO - Generative Engine Optimization - is the work of getting AI engines like ChatGPT, Gemini and Claude to cite your brand as a trusted source in the answers they generate. Not another link in a list - a citation inside the answer itself.
The scale is no longer a projection. ChatGPT passed 900 million weekly users in early 2026, per OpenAI. Google's AI Overviews reach more than 2.5 billion people a month. And the visitors these answers send are unusually good: Similarweb measured ChatGPT referrals converting at 7.1 percent, just behind paid search and ahead of organic.
To understand why the work looks different, look under the hood. When someone asks a question, the engine does not read your site start to finish. It pulls short passages from multiple sources, assembles one answer, and decides who gets credit. The unit of retrieval is the paragraph, not the page.
And the answer is almost never built from your site alone. Engines blend articles, comparison lists, communities and review sites - Muck Rack's analysis of a million cited links found 84 percent of AI citations come from earned media, not brand-owned pages. GEO is work on your site and on the sources around it.
SEO ranks you in Google. GEO gets you cited in AI answers. Most of the work is shared - a strong technical base, a clear entity, accurate content - but the overlap is smaller than it looks: Ahrefs found only 12 percent of AI-cited URLs rank in Google's top 10 for the same query. The difference is in emphasis and in what gets measured, not in a separate architecture.
AI Platforms
ChatGPT
The most-used AI engine: 900 million weekly users, per OpenAI. Since May 2026 it shows clickable brand links inside answers, and Similarweb measured referral traffic jumping 158 percent in a week. When someone asks about your category, ChatGPT chooses which sources to cite - the question is whether you are there.
← How ChatGPT expands your question behind the scenes
Gemini & AI Overviews
Google's AI, wired straight into search. AI Overviews reach over 2.5 billion people a month, and AI Mode passed a billion users within a year of launch. These answers sit above the classic results - brands not cited there get pushed down the page.
Claude
Anthropic's AI, strongest with engineering teams and enterprises. Smaller volume than ChatGPT, but a large share of technical due diligence happens there before a purchase decision - and Similarweb measured its referral traffic growing roughly 8x in a year.
How It Works
The process starts with measurement, not recommendations. First you need to know what AI engines already say about you and your competitors; only then can you decide what to change. The work itself runs on two tracks in parallel: your site, and the external sources engines pull from.
Prompt library and baseline
The work opens with 20 to 50 prompts your customers actually ask, across category questions, comparisons and factual checks. Every prompt is sampled at least 10 times from clean accounts, in the same chat apps your customers use - not API endpoints. A single answer is an anecdote, not data.
Identifying the sources AI pulls from
Every answer has sources: your pages, third-party sites, communities, sometimes stale data stuck in the model. Mapping them points at exactly which page needs fixing - and where others are telling your story for you. You get the cited-source list itself rather than a rolled-up score.
Building the entity
AI engines do not work with keywords; they work with entities. The job here is making the facts about your brand consistent everywhere models learn from, so the engine knows exactly who you are and never confuses you with someone else.
Presence in the sources engines cite
Once the source map shows where engines pull from in your category, the work becomes digital PR: earning a place in the articles and comparison lists that get cited, showing up in professional communities, and correcting wrong facts in sources that already mention you. In competitive categories this track moves the most.
Creating assets worth citing
When no good source exists for an answer, you can become the source: original research, data nobody else has, comparisons built properly. Semrush found AI answers draw on about 15 sources where classic Google shows 3 - there are more seats at the table, and definitive assets take them.
Content structured for extraction
A language model lifts single paragraphs out of a page. Content built around one question per heading, with a direct answer underneath, gets cited far more than content that requires reading a whole page for context.
Structured data and the knowledge graph
Accurate schema tells engines who you are, what you offer and how your content is organized - it is how machines resolve your identity rather than a lever that makes citations happen. I built these systems at the scale of 250 million sites at Wix, and it is the layer most sites get wrong or leave half-done.
Technical access for AI crawlers
GPTBot, ClaudeBot and PerplexityBot execute zero JavaScript - Vercel and MERJ verified it across hundreds of millions of fetches. If your content only exists after client-side rendering, it does not exist for them. I know this problem from the inside: at Wix, one of the world's largest JavaScript-rendered platforms, I wrote the rendering-compliance criteria and owned the infrastructure that kept 250 million sites readable to crawlers that do not run JS.
← Why AI-built sites are often invisible to AI
Monitoring and closing gaps
AI visibility moves constantly: models get swapped, competitors publish, facts go stale. Ongoing tracking shows which gaps closed, who took a seat that was yours, and what changed after every release that went live.
What You Actually Get
Baseline visibility report
Your category's prompt library, the answers each engine returns today, who gets cited in them, and the exact source URLs the information is pulled from.
Prioritized work plan
Changes ranked by impact, with what each one is expected to move and who on your team executes it - on the site and off it. No generic lines like "improve the content".
Hands-on work with your teams
Direct work with your developers and content people, including verifying what actually shipped to production. A document that stays in a drawer changes nothing.
Periodic tracking
Comparison against the baseline: which questions you entered, which you lost, what happened to competitors, and which facts the AI still gets wrong.
How Success Is Measured
GEO is not measured by a ranking or a single magic score. I separate three measurements that move independently and require different work:
- • Cited: the AI links to your site as a source inside the answer
- • Mentioned: the AI names your brand, even without linking to you
- • Messaging: what the AI actually says about you and in what tone - this is where the factual errors surface
Who Should Work With a GEO Consultant
When GEO is worth the investment
When your category is already being asked about in AI and you have something to say. Enterprises and SaaS platforms with existing content, a known brand, and a team that can ship technical changes see results fastest.
When you should wait
If the technical foundation is broken, or nobody can touch the code for the next six months, GEO will not help yet. In those cases I say so on the first call instead of selling a project.
Why Work With Me as Your GEO Consultant
One of the founding fathers of AI visibility (GEO/AEO/AIO) in Israel - practicing the discipline before it had a name, on systems most consultants never touch at this scale:
- ✓ Doing this work before it had a name: the entity, structured-data and AI-readability systems I led at Wix predate the 2023 paper that coined the term GEO - Google's case study documents the timeline
- ✓ 20+ years in technical SEO - the foundation without which GEO does not work
- ✓ Former Head of SEO at Wix - built structured-data and search systems serving 250+ million sites
- ✓ Google published an <a href='https://developers.google.com/search/case-studies/wix-case-study' class='text-white hover:text-white underline'>official case study</a> naming me: 2 million+ sites connected to Search Console, 15 percent average traffic lift
- ✓ #1 in the <a href='https://almanac.httparchive.org/en/2024/seo' class='text-white hover:text-white underline'>Web Almanac</a> SEO category - 2024 and 2025
- ✓ Working with leading publishers like mako and N12, and with organizations worldwide
- ✓ You work directly with your GEO consultant - no agency, no layers in between
How We Work Together
The work is directly with me - no account managers, no junior team doing the actual work. Most projects open with a one-time GEO audit that produces the baseline and the work plan, and continue into ongoing advisory only if there is something worth advising on.
There is no uniform price list, because a 500-page site and a five-million-page site are completely different work. The range becomes clear in the first call, before anyone commits to anything.
Frequently Asked Questions
Looking for traditional SEO consulting? SEO Consulting - technical SEO, strategy, and team enablement.
Let's Talk
Want to know what AI says about your brand?
A 30-minute call. I'll show you exactly what ChatGPT and Gemini say about you - and what needs to change.
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