the next layer of search optimization
AI is answering your customers' questions. Your brand should be the answer it gives.
Generative engine optimization builds the brand authority, content structure, and citation network that puts you inside AI responses on Perplexity, ChatGPT, Gemini, and Claude. Before your competitor gets there first.
AI visibility audit in 48 hours → generative engine optimization strategy in 3 days → Sprint 1 within 1 week
You rank on page one of Google. You are completely invisible to AI. Both are happening right now.
AI search is not replacing traditional search overnight. It is quietly diverting a growing slice of high-intent queries to generated answers where your brand does not appear. That slice grows every month.
While you read this page, AI is answering thousands of questions in your category. Your brand is not in most of those answers.
Generative engine optimization requires a fundamentally different approach from traditional search engine optimization. We built five systems to get you there.
Traditional search engine optimization optimizes for algorithms that match keywords to pages. Generative engine optimization optimizes for AI systems that match entities to trusted knowledge. Click each system to understand what we build and why it moves your citation rate.
AI engines learn about entities (brands, products, people) from structured and unstructured web data. If your brand is ambiguous, inconsistently described, or absent from authoritative sources, AI treats it as unknown. We build a structured entity presence across the sources AI engines trust most.
- Wikipedia and Wikidata entity creation and optimization
- Consistent brand entity description across 200+ web properties
- Knowledge panel optimization and claim verification
AI systems cite content they can confidently understand and attribute. Content written purely for Google's keyword algorithm often confuses AI extractors. We rewrite key pages to answer specific questions directly, in the format AI engines trust: concise, attributed, factual, and unique.
- Conversational query answer blocks on key pages
- Structured data markup for AI extraction (FAQ, HowTo, Product)
- Author and source attribution that AI engines recognize
AI engines cite brands that other trusted sources cite. A brand mentioned positively across industry publications, review platforms, and expert databases gets cited far more frequently than a brand with strong keyword rankings but limited external validation. We build that reference network systematically.
- Placements in AI-crawled industry publications
- Expert review and ranking site optimization
- Forum and community answer presence (Reddit, Quora, Hacker News)
People ask AI in full natural language sentences, not keyword strings. "What's the best wireless headphone for running in hot weather with budget under $150?" is a very different query than "wireless headphones running." Generative engine optimization maps your content to the conversational queries your customers actually use with AI.
- Conversational query research across AI search data
- Long-form question-and-answer content mapped to buying intent
- Comparison and recommendation page architecture for AI extraction
Most brands have no idea how often their brand appears in AI responses. We build monitoring infrastructure that tracks citation frequency across Perplexity, ChatGPT browsing, Gemini, and Claude on a weekly basis. Your dashboard shows citation rate trends and compares you to the top three competitors in your category.
- Weekly citation frequency tracking across 5 AI engines
- Competitor generative engine optimization positioning comparison dashboard
- Referral traffic attribution from AI-assisted sessions
We optimize for every AI engine that sends customers to your brand.
Each AI engine has different data sources, citation preferences, and trust signals. A strategy built for one engine does not transfer to another. We build and maintain generative engine optimization coverage across all five simultaneously.
Client case study
Enterprise ecommerce brand in corporate branding and apparel. After building $120M in annual revenue through traditional search engine optimization and user experience optimization, they needed to extend that brand authority into AI-generated search responses where competitors were gaining early-mover advantage.
The AI visibility problem
Despite strong domain authority and page-one Google rankings, the brand appeared in fewer than 3% of AI-generated responses for their core category terms. Competitors with less traditional search engine optimization authority were being cited because they had better entity recognition and citation networks in AI data sources.
Citation frequency transformation
Traditional search engine optimization agencies understand Google's algorithm. They do not understand AI data training pipelines.
A traditional search engine optimization agency publishes a page and waits for Google to index it. Generative engine optimization requires building brand authority across the data sources AI engines were trained on, which means working across Wikipedia, structured databases, historical publications, and authoritative domain references that predate the current training cycle. That is a fundamentally different discipline.
Google ranks pages that match search intent. AI engines cite brands that appear as consensus answers across multiple independent, trusted sources. You cannot optimize for consensus by publishing more content on your own domain. You need an external citation network. This is a link building discipline applied to AI training data, not a content marketing exercise.
Generative engine optimization without measurement is guesswork. We track citation frequency across five engines weekly, identify which queries your brand appears in and which it does not, and attribute referral traffic from AI-assisted sessions to revenue events in GA4. You can show your board exactly what generative engine optimization is worth to your brand each quarter.
Fixed monthly retainer. Scoped before you sign. Citation rate guaranteed to improve or we work free until it does.
Entity recognition and AI-ready content audit. Best for brands starting from zero generative engine optimization visibility who need to establish an AI presence before competitors do.
- Full AI visibility audit (5 engines)
- Entity recognition setup
- AI-ready content restructure for 5 key pages
- Monthly citation rate tracking report
Complete generative engine optimization across all 5 engines: entity authority, content architecture, citation network, and weekly monitoring. For brands who need to move from invisible to cited in 90 days.
- Everything in Foundation
- Citation network: 8 placements per month
- Conversational content for all 5 key query types
- Weekly citation rate monitoring across 5 engines
Multi-category, multi-region, or multi-brand generative engine optimization programs. Includes dedicated strategist, custom AI monitoring infrastructure, and quarterly board-ready reporting.
- Custom citation rate targets by engine and category
- Competitive generative engine optimization intelligence program
- Scoped proposal in 3 days
What every Chief Marketing Officer asks before investing in generative engine optimization.
No. Traditional search engine optimization optimizes web pages for Google's keyword-matching algorithm. Generative engine optimization optimizes brand presence for AI systems that generate answers from knowledge graphs, training data, and trusted citation networks. The inputs are different (entity authority versus keyword density), the target systems are different (large language models versus crawlers), and the success metric is different (citation frequency versus rank position). Some skills overlap but the discipline is genuinely distinct.
We run systematic query sampling across five AI engines weekly. For each query cluster relevant to your brand's category, we submit the query to each engine and record whether your brand is cited, what position it appears in, and which sources the AI used to justify the citation. Citation rate is the percentage of relevant queries where your brand appears as a recommended option. We track this over time and against your top three competitors.
For engines that browse live web content (Perplexity, ChatGPT Browsing), citation improvements appear within 30 to 60 days as new content and citations are indexed. For engines trained on static datasets (some Claude and Gemini variants), improvement cycles align with model update schedules, typically every 3 to 6 months. We optimize for live-browse engines first for fastest visible results, then build the underlying entity authority for long-term citation depth.
Strong traditional search engine optimization is a foundation that generative engine optimization builds on. Domain authority, quality backlinks, and well-structured content all contribute to the brand authority signals that AI engines use. However, traditional search engine optimization alone is not sufficient for generative engine optimization. Many brands with excellent Google rankings have near-zero AI citation rates because they lack entity recognition, citation network presence, and conversationally-structured content. Generative engine optimization is additive to search engine optimization, not a replacement.
Yes. Google AI Overviews are part of our Gemini coverage in the generative engine optimization system. The optimization signals for AI Overviews overlap with traditional Google search engine optimization (Experience-Expertise-Authoritativeness-Trustworthiness, structured data, authoritative backlinks) but require additional optimization for featured snippet extraction, direct question answering, and the specific way Google's generative model synthesizes sources. We include AI Overview optimization as part of the Gemini engine coverage on all generative engine optimization plans.
Generative engine optimization has a higher return for brands in categories where AI search adoption is already happening.
- Operates in a category where customers research before buying
- Has strong Google rankings but is seeing click-through rates decline
- Wants to build brand authority before competitors establish first-mover advantage in AI
- Can invest in a 90-day program to establish the entity foundation
- Have no existing brand presence or domain authority to build from
- Need immediate acquisition results within 30 days
- Operate in a hyper-local category where AI search is not yet mainstream
Not sure if generative engine optimization applies to your category? Tell us your situation and we will check your AI citation rate for free. Start here →
Submit your brief and see your current AI citation rate across all five engines. Free. No pitch.
We will run your brand against your top 5 category queries across Perplexity, ChatGPT, Gemini, Claude, and Copilot and report back with your actual citation rate before recommending anything.
Your team's time investment across a full engagement is typically 2 to 3 hours per month: one strategy review, async approval of content and citation placements, and quarterly reporting sign-off. We handle everything else.
What is your biggest AI search concern?
AI audit within 48 hours · generative engine optimization strategy proposal in 3 days · No commitment required
Every day without generative engine optimization is another day AI recommends your competitor when your customer asks who to trust.
Your AI citation rate right now is probably under 5%. We can show you exactly what it is, what your competitors' rates are, and what it would take to become the brand AI recommends first in your category.
Get My Free AI Visibility AuditNo commitment. No pitch. Your actual AI citation rate delivered within 48 hours.