Generative Engine Optimization (GEO + AEO) Services
Make your brand citable by ChatGPT, Perplexity, Gemini, and Google AI Overviews — through structured content, entity optimization, and authority engineering built for the AI search era.
What Is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of structuring content, entities, and brand signals so that generative AI engines — including ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — cite your brand as an authoritative source in their answers. Answer Engine Optimization (AEO) is a closely related discipline focused specifically on optimizing for direct-answer formats. Unlike traditional SEO, which targets ranked search results, GEO and AEO target inclusion in synthesized AI responses, where users increasingly get what they need without clicking through to your site. The core signals shift away from backlinks and keyword density and toward brand-mention frequency in trusted sources, entity-graph clarity, structured-data implementation, and the answer-readiness of your content format.
GEO vs. AEO. GEO targets inclusion in long-form generative answers; AEO targets the concise direct-answer formats like featured snippets and voice. We run them together because the underlying work — clean entities, citable structure, precise schema — is shared.
The engines we optimize for. ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. We baseline your presence in each and prioritize the engines your buyers actually use.
The signals that weigh. Brand-mention frequency in authoritative sources, a clean entity graph, precise structured data, and answer-ready formatting — not the backlink-and-keyword recipe that defined classic SEO.
Why GEO + AEO Matter Now
This is a 2026 priority, not a wait-and-see. The search layer buyers use to evaluate vendors is changing underneath everyone at once.
AI Overviews now answer a large share of informational queries needs source
Google’s AI Overviews increasingly resolve research questions on the results page itself, so buyers get an answer without ever clicking a blue link.
B2B buyers research vendors in ChatGPT before Google
A real behavioral shift — pronounced in B2B SaaS and financial services, where evaluators ask an LLM to shortlist providers before they ever run a search.
Organic traffic is down 30–50% YoY for many sites needs source
Several published studies report steep declines in click-through as answers move into the AI layer. The exact range varies by category and query type.
Citation share — not ranking — is the new authority metric
The question is no longer “are we position #1?” but “how often does an LLM cite us in its answer?” That reframes what authority means and how we measure it.
Our GEO + AEO Methodology
The full delivery lifecycle, from baseline to compounding moat. It begins and ends with measurement, because citation share is only meaningful against a starting point.
LLM Citation Audit & Baseline
Where do ChatGPT, Perplexity, and Gemini cite you today — and where do they cite competitors instead? We establish a measurable baseline before changing anything.
Content Restructuring for LLM Extraction
Citable definitions in the first 200 words, question-and-answer structure, atomized lists and data — formatted so an LLM can lift a clean, attributable block.
Schema Markup & Entity Optimization
FAQPage, Article, HowTo, Organization, and Service schemas implemented precisely, plus the entity-graph signals that help engines understand who you are.
Brand Mention Distribution & Authority Engineering
LLMs weight brand mentions in trusted sources, not just backlinks. We engineer strategic presence across directories, podcasts, and earned citations.
Continuous Citation Monitoring
GEO + AEO is never one-shot. We track citation share against competitors every month and iterate as the engines change their behavior.
GEO + AEO vs. Traditional SEO
“Isn’t this just SEO?” No — and the difference is the whole point. Traditional SEO isn’t dead; it’s complementary. Here’s where each one wins.
| Criteria | Traditional SEO | GEO + AEO |
|---|---|---|
| Primary goal | Rank #1 on Google SERPs | Be cited inside LLM answers |
| Success metric | Keyword rankings, CTR | Citation share, AI Overview inclusion |
| Content format | Long-form, keyword-rich | Atomized, Q&A-structured |
| Authority signals | Backlinks, DA score | Brand mentions, entity graph |
| Time to results | 6–12 months | 3–6 months |
| Best for | Transactional queries | Research & vendor evaluation |
What Results to Expect tentative — replace with client data
We report on metrics most agencies can’t: LLM citation share and AI Overview inclusion, not just rankings. Ranges below are illustrative until replaced with measured client data.
How GEO + AEO Engagements Work
- 01
Citation audit
Baseline where the engines cite you today.
- 02
Content & schema plan
Map the restructuring and markup work.
- 03
Implementation
Ship content, schema, and authority signals.
- 04
Monitor & iterate
Track citation share and adjust monthly.
GEO + AEO FAQs
What is the difference between GEO and AEO?
Generative Engine Optimization (GEO) optimizes for inclusion in the synthesized answers that engines like ChatGPT, Perplexity, and Google AI Overviews generate. Answer Engine Optimization (AEO) is a closely related discipline focused on the concise direct-answer formats — featured snippets, “people also ask,” and voice answers. GEO is about being cited inside a generated response; AEO is about owning the short, definitive answer. We run them together because the underlying work — clear entities, citable structure, precise schema — overlaps heavily.
How is GEO different from traditional SEO?
Traditional SEO optimizes to rank a page in Google’s blue links, measured by keyword position and click-through. GEO optimizes so your brand is cited inside the AI answer itself, measured by citation share and AI Overview inclusion. The content format shifts from long-form keyword pages toward atomized, question-and-answer structure, and the authority signals shift from backlinks toward brand mentions and a clean entity graph. It builds on SEO fundamentals rather than replacing them.
Can you guarantee LLM citations?
No — and you should be wary of anyone who does. LLM outputs are probabilistic and the engines change frequently, so guaranteeing a specific citation would be dishonest. What we can show is the lift in citation share that typical clients see over a measured baseline, with transparent monthly reporting. We commit to a process and to honest measurement, not to a fixed number.
Which AI engines do you optimize for?
The five that matter most for B2B research: ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. We baseline your presence in each, prioritize the engines your buyers actually use, and track citation share across all of them as the program runs.
How long until I see LLM citations?
Most clients see a first measurable lift in citation share within 3–6 months, depending on starting authority, content volume, and competition in the category. A defensible moat — where you’re consistently the cited source — typically builds over 12–18 months. We report against your baseline so progress is visible well before the moat is complete.
Do I still need traditional SEO if I’m doing GEO + AEO?
Yes. They’re complementary, not a choice. Traditional SEO still wins transactional and navigational queries and feeds many of the signals GEO relies on; GEO + AEO wins the research and vendor-evaluation stage where buyers now ask an LLM first. We treat SEO, AEO, and GEO as one connected strategy rather than a false dichotomy.
Ready to Be Cited in AI Answers?
Every engagement starts with a citation audit — a measured baseline of where the engines cite you today.