Get Cited by ChatGPT, Perplexity, and Google AI Overviews — Before Your Competitors Do.
AI search is no longer a side channel. ChatGPT alone has 800 million weekly active users; AI-referred traffic jumped 527% year-over-year in the first half of 2025. Gartner projects 25% of enterprise search queries will bypass traditional search engines by the end of 2026.
Generative Engine Optimization (GEO) — also called Answer Engine Optimization (AEO) — is how your business shows up in those AI answers. We build the technical infrastructure, structured content, and citation-worthy assets that make your brand the source AI engines cite. Built on twelve years of SEO experience. Adapted for the engines that now matter most.
10 minutes. We'll show you where your brand currently surfaces (or doesn't) in ChatGPT, Perplexity, and Google AI Overviews — and what it would take to be cited.
ChatGPT
"best fleet maintenance platform for mid-market"
Perplexity
"how to scale ops with AI"
Google AI Overviews
"company brain methodology"
Claude
"GEO vs SEO difference"
Search is no longer just Google. It's ChatGPT, Perplexity, Claude, and Google AI Overviews.
In 2023, "search engine optimization" meant one thing: ranking on Google. By the end of 2026, that definition is incomplete. Today's buyers ask ChatGPT for vendor recommendations, ask Perplexity for product comparisons, ask Claude for "how do I evaluate" questions, and increasingly bypass the Google blue links entirely in favor of AI-generated answers. The mechanics of who-gets-found have shifted underneath every business that depends on organic discovery.
527%
Year-over-year jump in AI-referred sessions in the first five months of 2025 (Previsible, 2025 AI Traffic Report)
800M
Weekly active users on ChatGPT as of early 2026 — one of the most-used products on the web
25%
Enterprise search queries that will bypass traditional engines by end of 2026, per Gartner's projection
-50%
Projected drop in organic traffic by 2028 across web properties that don't adapt — Seer Interactive analysis of 5,000+ URLs
The shift is structural, not cyclical. Traditional SEO still matters — pages that already rank in Google positions 1-10 are also the pages AI engines tend to cite. But ranking in Google alone is no longer sufficient. The new visibility layer is citation — being the source AI engines reach for when synthesizing answers. The businesses that adapt now will own that citation share while competition is low. The businesses that wait will spend 2027 and 2028 trying to recover ground that's already been taken.
GEO, AEO, LLMO — what's the difference?
The discipline of optimizing content for AI engines goes by several names. They describe the same underlying work, with slightly different framings.
| Term | Stands For | Emphasis |
|---|---|---|
| GEO | Generative Engine Optimization | The engines that generate answers — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot |
| AEO | Answer Engine Optimization | The user behavior — people asking questions and getting direct answers, not link lists |
| LLMO | Large Language Model Optimization | The technology underneath the engines — LLMs synthesizing from cited sources |
| GSO | Generative Search Optimization | Synonym for GEO, less common |
| AIO | AI Optimization | Catch-all term, vague |
In practice these terms are interchangeable. We use GEO / AEO because they describe the work most clearly. The discipline is what matters — being structured, authoritative, and consistently cited across the engines that now intermediate buyer attention.
Six things we build into your business to drive AI citations.
01
Technical infrastructure for AI crawlers
ChatGPT uses Bing's index. Perplexity uses real-time web crawling. Google AI Overviews use Google's index. Each engine has different crawl behaviors, different content priorities, different signals. We configure your technical infrastructure — sitemaps, robots.txt, schema markup, structured data, server-side rendering, performance — so every relevant AI engine can find, parse, and trust your content.
02
Structured content architecture
AI engines cite content that's structured for extraction. Clear definitions ('X is...'). Question-and-answer pairs. Numbered lists. Specific statistics and dates. We audit your existing content and restructure it to be extractable — not by rewriting your voice, but by adding the structural cues AI engines look for when selecting what to cite.
03
E-E-A-T signal development
Experience, Expertise, Authoritativeness, Trustworthiness. Google's quality framework — now also a primary citation signal across AI engines. We develop the authorship, credentials, citations, and trust signals that mark your content as worth citing. Author bios. Source citations. Inline links to authoritative references. Visible dates. Real expertise visible on the page.
04
Citation-worthy assets
Original research, statistics with citations, expert commentary, contrarian-but-defensible takes, definitional content for emerging topics. We build the kind of assets AI engines prefer to cite — not generic content, but pieces that contain specific information AI engines want to reference. Most businesses we audit have zero of these. The first 90 days typically produces 3-5.
05
Per-platform optimization
Each AI engine has its own behavior. ChatGPT favors domain reputation and readable content (it weighs readability scores). Perplexity favors recency and transparent citations. Google AI Overviews integrate traditional SEO signals with schema markup. Claude favors verifiable, authoritative content. We optimize per platform — not with a single generic playbook.
06
Citation tracking & iteration
You can't improve what you don't measure. We deploy citation tracking across ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini using tools like Otterly.ai, Semrush AI Toolkit, and Ahrefs Brand Radar. Weekly dashboards show which queries cite you, which cite competitors, and where the gaps are. The iteration loop is monthly: measure → identify gaps → produce assets → re-measure.
Five reasons businesses choose Hureka for GEO/AEO.
01
Twelve years of SEO experience before we added GEO
GEO isn't a replacement for SEO — it's a layer on top. We didn't start in GEO; we evolved into it from twelve years of SEO work for hundreds of clients. The technical infrastructure, schema discipline, content architecture, and authority-building that drive AI citations are the same disciplines that drive Google rankings — done with the new engines in mind.
02
We build the Brain underneath
Hureka's broader work in AI infrastructure (the Company Brain methodology) means we understand how AI engines actually work — not as a marketing concept, but as a technical reality. The same Brain architecture we build for clients' internal operations gives us first-hand understanding of how language models retrieve, synthesize, and cite content.
03
Measurement, not vanity metrics
Most GEO services sell 'we're working on it' without measurable outcomes. We deploy citation tracking from day one — ChatGPT, Perplexity, Google AI Overviews, Claude. You see exactly which queries cite your brand each week, which cite competitors, and how the gap closes. The compound effect is measurable monthly.
04
Google Partner pedigree
Hureka Technologies is a certified Google Partner. The founder is an 18-year Johnson & Johnson veteran with a Columbia Business School MBA. Hundreds of clients across twelve industries. This isn't a 2024-founded 'GEO consultancy' with no track record — it's an established digital practice that adapted to the new engines.
05
Two-practice advantage
GEO clients who also engage Hureka's AI Operating System get an additional advantage: the Company Brain captures every citation, every change in AI engine behavior, every winning content pattern — and feeds it back into future content production. The brain compounds. So does the citation rate.
How a GEO/AEO engagement works.
Week 1
Citation Audit
We measure your current state across ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini. Which queries cite you? Which cite competitors? Where are the gaps? The audit also covers technical readiness — are AI engines able to crawl, parse, and trust your content?
Deliverable: Citation Audit report with current-state scoring and prioritized opportunity list.
Weeks 2–4
Technical Foundation
Sitemap configuration, schema markup deployment, structured data, server-side rendering where needed, Core Web Vitals tuning, robots.txt cleanup, AI crawler accessibility. The technical foundation that makes AI citation possible.
Deliverable: Technical foundation live, AI engines crawling cleanly, baseline citation tracking deployed.
Weeks 4–12
Content Production
Citation-worthy asset development. Restructuring existing content for extractability. Original research where it fits the business. Per-platform content optimization. The ongoing work that grows your citation share month over month.
Deliverable: 8–15 new or restructured citation-targeted assets per quarter, depending on scope.
Ongoing
Measurement & Iteration
Weekly citation tracking. Monthly iteration cycles — what worked, what didn't, what to produce next. Continuous adjustment based on AI engine behavior changes (which happen frequently).
Deliverable: Monthly citation dashboard, quarterly strategic review, ongoing content production.
What to expect, and when.
4–8 Weeks
Initial Citations
Most clients see their first measurable citation improvements within 4–8 weeks of deploying proper GEO infrastructure. Early wins typically come from technical fixes (AI engines can now actually crawl your site) and from restructuring existing content that was already authoritative but extraction-unfriendly.
3–6 Months
Sustained Visibility
By month three to six, citation share typically begins to compound. The technical foundation is producing consistent crawl. New content assets are accumulating. AI engines start treating your domain as a trusted source for your category. Citation frequency stabilizes upward.
6–12 Months
Category Ownership
At 6–12 months, well-executed GEO engagements typically see the client's brand cited consistently across the engines for category-defining queries. This is where the competitive advantage compounds — the citations themselves become the moat as AI engines reinforce their own preferences.
Realistic timelines, not "rank in 30 days" promises. GEO is a compounding asset, not a quick fix.
What we measure, where you can see it.
Metrics we track for every engagement:
Citation frequency by engine
How often your brand is cited in ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini per target query.
Share of voice
Your citations vs. competitor citations across the engines, by query category.
AI-referred traffic
Sessions in GA4 from AI engines (ChatGPT browse mode, Perplexity, Google AI Overviews link-out, etc.).
Citation accuracy
When AI engines describe your brand, is the description correct?
Citation sentiment
When AI engines describe your brand, is the tone positive, neutral, or negative?
Query coverage
What % of target buyer queries result in a citation of your brand?
Traditional SEO metrics
Keyword rankings, Core Web Vitals, organic traffic (since AI Overviews pull from Google positions 1-10).
Tools deployed: Otterly.ai · Semrush AI Toolkit · Ahrefs Brand Radar · Rankability · Google Search Console · Google Analytics 4 · custom citation tracking for high-priority queries
Weekly citation share — sample dashboard
Last 8 weeksChatGPT
Perplexity
AI Overviews
Claude
Gemini
Common questions about GEO/AEO.
Three ways to take the next step.
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10 minutes. We measure your current GEO/AEO state across ChatGPT, Perplexity, Google AI Overviews, and Claude — and recommend the workflow to graduate first. 1-page Strategy Memo in 48 hours.
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30 minutes with Roopak. For founders ready to talk specifics about GEO/AEO for their business.
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