GEO Consultant: Get Cited by ChatGPT, Perplexity & AI Overviews
Generative Engine Optimization consulting for B2B SaaS, B2C, and e-commerce brands that need to be cited inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Operated by the author of the 2026 AI Search Visibility benchmark of 61 SaaS and AI sites.
What a geo consultant actually does for your pipeline
Buyers stopped scrolling ten blue links. They ask ChatGPT, Perplexity, Gemini, and Google AI Overviews a direct question, and they act on the answer. If your brand is not in that answer, you do not exist in the conversation. A geo consultant fixes that. I make your company the source these engines quote, paraphrase, and link, so the demand that used to flow through search keeps reaching you when the interface changes.
Generative Engine Optimization is not SEO with a new label. SEO ranks a page. GEO earns a citation inside a generated answer. The mechanics differ: AI engines reward clear claims, structured data, consistent entity signals across the web, and content written so a model can extract a fact and attribute it back to you. As a geo consultant, I audit how each major engine already talks about your category, find where competitors get cited and you get skipped, and rebuild your content and structured data so the models pick you instead.
My approach is mechanical, not magical. First I run prompts your buyers actually type, across the engines that matter for your market, and record who gets named. Then I trace why: which third-party pages feed the model, what schema is missing, where your claims are vague, and where your entity is fragmented across Wikidata, your site, and review platforms. Google documents how AI Overviews surface and link content in its own AI features guidance for Search, and I align every fix to those published signals plus what each engine rewards in practice.
I work as a Fractional Head of Growth, not a report vendor. That means I do not hand you a PDF and leave. I sit inside your funnel, ship the schema, rewrite the pages, fix the entity data, and measure whether AI citations turn into qualified visits and revenue. From traffic to revenue is the whole point. A geo consultant who stops at "you got mentioned" has done half the job. I track the mention through to signups, demos, and closed deals.
The proof is in the operating, not the slides. I took Elementor to 100x ARR and managed $100M+ in budgets, so I know what a growth lever has to clear to be worth your time. GEO is one of the highest-return levers available right now, because most of your competitors are still optimizing for an interface buyers are leaving. Early movers get cited, and citations compound: once a model learns your brand is the authority on a topic, it keeps surfacing you. A geo consultant who arrives early buys you that compounding head start.
Scope is deliberate. I do not chase every engine or every prompt. I find the questions that sit closest to a purchase, the ones where being the cited answer changes a buying decision, and I win those first. Then I expand. Engagements are built around a clear scorecard: which prompts you own, how citation share moves month over month, and how that traffic converts. If a geo consultant cannot tie the work to that scorecard, they are selling visibility theater.
If AI search is already sending you traffic you cannot explain, or sending your competitors traffic you should own, that is the signal to act. I will tell you straight whether GEO is your highest-ROI move right now or whether something earlier in the funnel deserves the budget first. Book a working session and I will show you, with your own prompts and your own engines, exactly where you stand.
Related
Frequently asked questions
What does a geo consultant do that an SEO agency does not?
An SEO agency ranks pages for clicks. A geo consultant earns citations inside AI-generated answers from ChatGPT, Perplexity, Gemini, and Google AI Overviews. I optimize for extraction and attribution: clear claims, structured data, and consistent entity signals across the web so models quote you. Then I trace those citations through to signups and revenue, not just visibility.
How do you measure whether GEO work is actually paying off?
I build a scorecard before any work starts. I run the prompts your buyers type, record citation share per engine, and track it month over month. Then I connect AI-referred traffic to signups, demos, and closed deals. If citation share rises but revenue does not move, the work is not done. From traffic to revenue is the only metric that matters to me.
Which AI engines should a geo consultant prioritize for my business?
It depends on where your buyers ask questions. For most B2B, that is ChatGPT, Perplexity, Gemini, and Google AI Overviews. I do not chase all of them blindly. I find the engines and the purchase-adjacent prompts that actually change buying decisions, win those first, then expand. Spreading effort across every engine equally wastes budget on prompts nobody acts on.
How long before GEO citations show up and move revenue?
Some structured-data and entity fixes get picked up within weeks, because engines re-crawl and re-index continuously. Compounding takes longer: once a model learns your brand is the authority on a topic, it keeps surfacing you, and that effect builds over months. I set expectations against your actual baseline in the audit, not generic promises, so you know what each phase should deliver.
Do you just deliver a report, or do you implement the changes?
I implement. I work as a Fractional Head of Growth, so I ship the schema, rewrite the pages, fix the entity data across Wikidata and review platforms, and sit inside your funnel measuring results. A report-only geo consultant leaves the hardest 80 percent to your team. I took Elementor to 100x ARR by operating, not advising from the sidelines.
GEO (Generative Engine Optimization) is the practice of getting your content cited inside AI search engines. It overlaps with SEO but uses different optimization tactics, schema requirements, and content structure.
Yaniv operates GEO engagements end-to-end: audit, schema, llms.txt, entity disambiguation, content rewrite, citation magnets, and re-benchmark. Same methodology used to score 61 SaaS sites in the public 2026 study where 67% failed AI Search Readiness.
ChatGPTOpenAI search ClaudeAnthropic PerplexityCitations-first GeminiGoogle AI AI OverviewsGoogle SERPWhat Is GEO (and Why It's Not Just SEO)
SEO optimizes for Google's blue-link results. GEO optimizes for being cited inside an LLM's answer.
The technical surfaces overlap (crawlability, schema, content quality) but the optimization tactics diverge in important ways.
GEO
The practice of structuring content, entities, and citations so generative engines retrieve and cite your site when answering buyer queries.
AEO
Subset of GEO focused specifically on direct-answer surfaces (Google AI Overviews, featured snippets, voice assistants).
LLM Citability
The probability that a given LLM cites your domain when answering a relevant query. Measurable. Improvable. Not deterministic.
Entity Disambiguation
Schema and sameAs work that makes LLMs confident which person/company/product you are. Critical for personal brands and ambiguous names.
llms.txt
Emerging standard, served at /llms.txt, that gives LLMs a curated index of your content. Optional but increasingly expected.
What a GEO Engagement Covers
End-to-end. Audit through re-benchmark.
- AI Visibility Score baseline: your site scored across 5 engines for 10-30 buyer-intent queries
- Schema and entity audit: Person, Organization, Product, FAQPage, Article, BreadcrumbList, Speakable. sameAs gap analysis. Entity disambiguation across all major LLMs.
- Crawler access: robots.txt, llms.txt, meta tags, HTTP headers, JS rendering. Verified against GPTBot, ClaudeBot, PerplexityBot, Google-Extended.
- Content rewrite plan: page-by-page priority list with TL;DR blocks, answer-first structure, FAQ depth, citation density, freshness signals.
- Competitor citation map: who is being cited instead of you, on which queries, on which engines, and why.
- Citation magnets: original data, methodology, open-source tools, leaderboards, and other formats LLMs preferentially cite.
- Re-benchmark at day 90: same methodology, same queries, delta report.
Track Record
Yaniv published the 2026 AI Search Visibility benchmark of 61 SaaS and AI category leaders, scored across 5 generative engines using a transparent open-source methodology. 67% failed basic AI Search Readiness. The methodology is now the basis of the productized AI Search Visibility Audit service.
The reference deployment, yanivgoldenberg.com itself, scored 97/100 on the same benchmark.
Best Fit (and Not For)
Best fit
- ✓Post-PMF SaaS and B2C brands losing buyer attention to AI-first competitors
- ✓Content-heavy sites whose blog posts rank on Google but never get cited in ChatGPT or Perplexity
- ✓Personal brands, founders, and consultants whose entity gets confused with someone else's profile
- ✓Companies preparing for a fundraise where AI search visibility is part of the narrative
Not for
- ×Pre-product companies without existing content to optimize
- ×Offline businesses without a content-bearing website
- ×Businesses where the buyer doesn't use AI search tools to evaluate vendors
Frequently Asked Questions
What's the difference between GEO and SEO?SEO optimizes for Google's ranked results. GEO optimizes for being extracted, summarized, and cited inside AI answers. The technical overlap is about 60%: both need fast, crawlable, well-structured sites. The divergence is in content structure (answer-first, citation-worthy), entity clarity, and AI-specific infrastructure (llms.txt, AI crawler access, speakable schema).
How do you measure GEO results?AI Visibility Score: we query 10-30 buyer-intent queries across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, and measure how often your domain is cited. Baseline at day 0, re-benchmark at day 90. The methodology is the same one used in the 61-site public benchmark.
Do I need SEO before GEO?They're complementary. If your site has zero organic presence, SEO foundations come first: crawlability, schema, content. If you already rank on Google but aren't cited by AI engines, GEO is the gap. Most engagements run both in parallel.
How fast will I see citations?AI engines update their retrieval indexes faster than Google updates rankings. Technical fixes (crawler access, schema, llms.txt) can show impact within days to weeks. Content-based citation improvements typically show in 30-60 days. Entity disambiguation depends on re-indexing cycles.
What does a GEO engagement cost?One-time audit: $2,000-$3,000. Ongoing optimization: included in SEO retainers ($5K-$9K/mo). Standalone GEO-only engagements for companies with existing SEO: case by case. Book a call to scope.
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