Resell Answer Engine Optimization under your agency's brand. We engineer the ChatGPT, Perplexity, and Google AI Overview citations your clients want — fully white labeled.
Traditional SEO optimizes for search engine results pages. AEO optimizes for AI-generated answers. When a user asks ChatGPT, Perplexity, or Google's AI Overview a question about your industry, your brand needs to be the one cited.
Over 40% of search queries now trigger AI-generated responses. Brands that aren't optimized for answer engines are invisible to the fastest-growing segment of search.
We structure your content so AI models like GPT-4, Claude, and Gemini naturally reference your brand as the authoritative source in their responses.
Build a knowledge graph presence that AI systems trust. We establish your brand as a recognized entity across AI training data and retrieval systems.
Map how users ask AI assistants about your industry. Engineer content that directly answers the questions AI models receive.
Optimize for Google AI Overviews and featured AI snippets. Position your brand in the zero-click results that dominate modern search.
Dedicated optimization for emerging AI search platforms. Track and improve how Perplexity, ChatGPT, and Copilot reference your brand.
Implement advanced schema markup and structured data systems that make your content machine-readable and AI-parseable at scale.
Start with a free AEO audit. We'll analyze how AI models currently reference your brand and build a roadmap to dominate AI search.
A repeatable, engineered system to make your brand the source AI engines reference when your customers ask.
We benchmark how ChatGPT, Perplexity, Google AI Overviews, and Claude currently reference your brand across hundreds of high-intent prompts in your category, and identify every gap where competitors are being cited instead of you.
We map your brand as a structured entity — products, people, services, and relationships — across Wikipedia, Wikidata, schema.org, and authoritative third-party sources so AI models recognize you as a trusted node in their knowledge graph.
We extract the real questions your customers ask AI assistants and rewrite or create answer-first content blocks designed to be lifted verbatim into AI responses, with clear definitions, comparisons, and direct answers above the fold.
We deploy a layered schema system — Organization, Product, FAQPage, HowTo, Article, and custom JSON-LD — so every page is machine-readable and AI-parseable, dramatically increasing the odds of citation.
We seed your entity across the sources LLMs actually train on and retrieve from: high-authority publications, structured directories, GitHub, Reddit, and AI-friendly knowledge bases — building the citation density AI models reward.
We track AI citations, share-of-voice in AI answers, and prompt-level visibility weekly, then iterate content, schema, and authority signals based on what is actually moving the needle inside each AI engine.
Most SEO agencies are still optimizing for the 2015 search results page. Here's how an engineered AEO system stacks up — line by line — against the agency status quo.
| Dimension | Novus AEO | Typical Agency |
|---|---|---|
| Primary Goal | Engineer brand citations inside ChatGPT, Perplexity, and Google AI Overviews — where buying decisions now form. | Chase keyword rankings on a traditional Google results page and report on impressions. |
| Content Strategy | Answer-first content blocks engineered around real AI prompts, with definitions and comparisons designed to be lifted verbatim. | Long, keyword-stuffed blog posts written for crawlers, not AI answer engines. |
| Entity Authority | Map your brand as a structured entity across Wikipedia, Wikidata, schema.org, and the sources LLMs actually retrieve from. | No entity strategy — relies on backlinks alone and ignores knowledge-graph signals. |
| Structured Data | Layered JSON-LD system: Organization, Product, FAQPage, HowTo, Article, and custom schema validated continuously. | Generic Yoast or RankMath defaults — often incomplete, frequently invalid. |
| Measurement | Track AI citation frequency, share-of-voice in AI answers, and prompt-level visibility across every major LLM. | Reports keyword positions and organic traffic — metrics blind to AI search behavior. |
| Reporting Cadence | Weekly AI visibility deltas with prompt-level evidence and clear next actions. | Monthly PDF of vanity metrics with no link to revenue or AI presence. |
Engineer brand citations inside ChatGPT, Perplexity, and Google AI Overviews — where buying decisions now form.
Chase keyword rankings on a traditional Google results page and report on impressions.
Answer-first content blocks engineered around real AI prompts, with definitions and comparisons designed to be lifted verbatim.
Long, keyword-stuffed blog posts written for crawlers, not AI answer engines.
Map your brand as a structured entity across Wikipedia, Wikidata, schema.org, and the sources LLMs actually retrieve from.
No entity strategy — relies on backlinks alone and ignores knowledge-graph signals.
Layered JSON-LD system: Organization, Product, FAQPage, HowTo, Article, and custom schema validated continuously.
Generic Yoast or RankMath defaults — often incomplete, frequently invalid.
Track AI citation frequency, share-of-voice in AI answers, and prompt-level visibility across every major LLM.
Reports keyword positions and organic traffic — metrics blind to AI search behavior.
Weekly AI visibility deltas with prompt-level evidence and clear next actions.
Monthly PDF of vanity metrics with no link to revenue or AI presence.
We engineer entity authority, structured data, and citation-worthy content so AI models recognize your brand as an authoritative source. This includes Organization and Person schema, knowledge graph alignment, conversational query mapping, and content engineered to answer the questions users actually ask AI assistants.
No reputable AEO provider can guarantee specific citations — AI model outputs are probabilistic. What we guarantee is the engineering: the structured data, entity signals, and content architecture that maximize the probability of citation across major AI engines.
AEO and GEO are largely synonymous — both describe optimizing content for AI-generated answers. We use AEO because it more accurately captures the goal: being the cited source inside an AI-generated answer, not just being mentioned anywhere in generative output.
No. AEO is additive. Traditional SEO drives the search engine rankings and crawl signals that AI models use as one of their authority inputs. The strongest AI visibility programs run AEO and SEO engineering in parallel as a single integrated stack.