New AI Search Visibility

Be the answer AI gives. Be the source it cites.

Your buyers ask AI before they ask you. Answer Engine Optimization makes your brand the response they get, turning AI search into qualified pipeline on autopilot.

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Two levers, one program: answer share is what AI says when buyers ask, and citation share is whose pages it draws that answer from.

Lever 1: Answer share (AEO)

Entity & answer modeling

We map the questions your buyers ask AI assistants and structure your content so your brand is the clean, citeable answer, not buried on page two.

Structured data & schema

Machine-readable markup, FAQs, and knowledge-graph signals that let answer engines lift your facts directly into responses.

Answer-ready content

Concise, sourced, authoritative pages built the way LLMs prefer to quote, with the claims, numbers, and definitions they reward.

Answer monitoring

We track what ChatGPT, Gemini, Copilot, and voice assistants actually say about your category, and close the gaps every week.

Audit. Build. Compound.

01

Audit

We ask the AI engines the questions your market asks, and see exactly where you show up, where a competitor does, and where nobody does.

02

Build

We restructure and create the content, schema, and entity signals that make you the answer for the queries that drive revenue.

03

Compound

We monitor answer share across engines and keep optimizing, so inbound from AI search grows on autopilot.

Answer share

Own the AI answer for your highest-intent buyer questions.

Qualified inbound

Leads that arrive already convinced, because the AI recommended you.

Zero-click authority

Get credited even when the buyer never clicks a link.

Lever 2: Citation share (GEO)

Citation-worthy assets

Original data, definitions, and points of view that generative engines prefer to cite, the kind of source ChatGPT and Perplexity link back to.

Off-site authority

The third-party signals models trust, from review platforms and communities to reference sites, so your brand is corroborated across the open web.

Knowledge presence

Consistent, structured facts about your company and category that generative engines ingest, reconcile, and surface accurately.

Freshness & coverage

We keep your most cited topics current and expand into adjacent prompts, growing the surface area where AI can find and quote you.

Map. Earn. Compound.

01

Map citations

We run the prompts your buyers use and capture exactly which sources the generative engines cite, and whether you are one of them.

02

Earn authority

We build the on-site and off-site signals that move you into the citation set for the prompts that matter to revenue.

03

Compound

We track citation share across engines and keep widening your coverage, so AI-sourced demand grows without more ad spend.

Citation share

Be the source generative AI links to for your category.

Brand corroboration

Show up consistently and accurately wherever AI looks to verify you.

Durable moat

Authority that competitors can't outbid, because it isn't paid media.

Frequently Asked Questions

What is Answer Engine Optimization (AEO)?

AEO is the practice of structuring your brand, content, and data so that AI answer engines, ChatGPT, Gemini, Copilot, and voice assistants, return you as the direct answer to your buyers' questions. As more buying research moves from search results to AI answers, AEO becomes the channel that decides whether AI recommends you or a competitor.

How is AEO different from traditional SEO?

SEO optimizes for a ranked list of blue links a human scrolls. AEO optimizes for a single synthesized answer a machine generates. That means the work shifts toward entities, structured data, citeable claims, and authority signals the model can lift directly, rather than keyword density and backlinks alone.

Which answer engines does ProjectA.ai optimize for?

ProjectA.ai optimizes across the engines your buyers actually use, including ChatGPT, Google AI Overviews and Gemini, Microsoft Copilot, Perplexity, and major voice assistants. We monitor answer share on each and prioritize the ones driving your pipeline, so the work follows the places where your buyers really ask.

How does ProjectA.ai measure AEO results?

ProjectA.ai measures AEO by benchmarking your answer share, the percentage of your priority buyer questions where you are named or cited, then tracking it over time alongside qualified inbound. You see exactly which questions you now own and what that is worth to pipeline.

How fast does AEO show results?

AEO fixes to structured data and content can change AI answers within weeks, while building durable authority for competitive questions compounds over a quarter or two. ProjectA.ai sequences the fast wins first, so momentum starts early and the harder questions are worked on in parallel.

How does the Free AI Audit relate to AEO?

The Free AI Audit, at aeo.projecta.ai, is a practical first look for AEO work. It asks the AI engines the questions your market asks and shows where you appear, where a competitor does, and where nobody does. ProjectA.ai uses that picture to decide what to fix first.

What is Generative Engine Optimization (GEO)?

GEO is the practice of earning your way into the sources that generative AI engines cite when they answer a question. Where AEO focuses on being the answer, GEO focuses on being the trusted source behind the answer, the page, dataset, or mention the model links to and learns from.

How is GEO different from AEO and SEO?

SEO ranks pages for humans. AEO makes you the direct answer an AI returns. GEO makes you the source that answer is built on. In practice the three work together: GEO builds the authority, AEO shapes the answer, and SEO still captures the clicks that remain.

Which generative engines does GEO cover?

GEO at ProjectA.ai focuses on the engines shaping buying decisions, including ChatGPT, Perplexity, Google AI Overviews and Gemini, and Microsoft Copilot. We monitor which sources each engine cites for your priority prompts and work to get you into that set, so the effort follows where your buyers actually ask.

Does ProjectA.ai create the content for GEO, or just advise?

ProjectA.ai does both. As a full-stack AI factory we can build the original research, data assets, and citeable pages that earn citations, and engineer the structured signals engines rely on, not just hand you a checklist. That covers the page, dataset or mention a model links to and learns from.

How does ProjectA.ai prove GEO is working?

ProjectA.ai benchmarks your citation share, meaning how often the engines cite you for priority prompts, and tracks it over time alongside AI-referred traffic and pipeline, so the impact on revenue is visible, not theoretical. You see which sources now cite you and which prompts still need work.

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