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.
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.
What 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
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).
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.
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.
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.
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.
Get Your AI Visibility Score
Find out if ChatGPT, Perplexity, and AI Overviews are citing you or your competitors. 15 minutes to scope.
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