What GEO and AEO mean for your brand
Generative engine optimization is the work of making your brand visible inside AI-generated answers, not only in the list of links on a results page. Answer engine optimization focuses on being the direct answer to a specific question. Both build on SEO.
The buying journey has changed. A shopper who once opened several tabs can now ask an assistant and get a short list with reasons. If your brand is not in that answer, you are not in the consideration set, and ranking well does not fix that on its own.
Those answers draw on sources the model trusts: well-structured product pages, reviews, comparison articles, forums, retailer listings and brand mentions across the web. Our job is to make sure the right information about your brand exists in those places and is easy to read.
How SEO, GEO and AEO fit together
They are not competing disciplines. Strong SEO is still the foundation, because many AI tools pull from pages that already perform well in search. What changes is the emphasis:
- SEO optimizes for rankings, clicks and organic traffic.
- AEO structures content so an AI system can lift a clear, direct answer.
- GEO builds the authority, consistency and coverage that make AI tools choose your brand when they summarize a category.
Your existing SEO is not wasted. We build on it. See our SEO service.
Why brands work with Hale on AI search
- Built by a performance marketing team. AI search is planned next to paid media, conversion work and measurement, and judged by what it contributes to revenue.
- Focused on product and category questions. Shoppers ask what is best, how options compare and what suits a given need. We map the prompts your customers actually use and focus on the ones that lead to purchases.
- Senior people doing the work. The strategists who audit your AI visibility build the plan and stay on the account.
- Honest about what we can control. No agency can guarantee placement in an AI answer. Answers vary by prompt, user and day. We improve the inputs these systems rely on, track movement and say plainly what is working.
What the work includes
AI visibility audit
We test how the major AI tools describe your brand and category today. You see which prompts mention you, which recommend competitors, which sources get cited and where information about you is missing or wrong.
Content for AI answers
We restructure product pages, guides and FAQs so answers are easy to extract: clear headings, specific claims, plain-language explanations of who a product is for and answers to the questions shoppers ask before they buy.
Structured data and technical work
We implement and validate structured data for your organization, products, reviews and FAQs, fix crawl and indexing problems and make sure key content does not depend on scripts to appear. We make no claim that markup alone changes what AI tools say.
Product feeds and shopping visibility
AI shopping experiences draw on product data. We review titles, attributes, pricing and availability so products can be surfaced and described correctly.
Off-site authority and brand mentions
Third-party sources often carry weight with AI tools. We build authority through digital PR, review platforms, publisher and creator coverage, retailer listings and relevant community discussion.
How the process runs
- Baseline and prompt mapping. We identify the prompts that matter to your business and record how each platform answers them today.
- Gap analysis. We compare your presence with competitors that AI tools recommend more often and see which pages, sources and topics drive theirs.
- Strategy and roadmap. We prioritize the fixes and content that will move the most valuable prompts first.
- Implementation. We update content, deploy structured data, improve feeds and run outreach. Where your team owns the site, we provide clear briefs and review changes before they go live.
- Track, report and refine. AI answers shift, so we re-test your prompt set regularly and adjust the plan.
How we measure AI search visibility
There is no single ranking to report, so we use a set of signals that together show whether your brand is gaining ground:
- Share of AI answers. How often your brand appears for tracked prompts, compared with competitors.
- Citations and sources. Which of your pages, and which third-party sources about you, get cited.
- Accuracy. Whether answers describe your products and positioning correctly.
- AI referral traffic. Visits arriving from AI tools and what those visitors go on to buy.
- Search visibility. Rankings and organic traffic, since traditional search still drives most demand.
We are careful with these numbers. AI referral traffic is usually undercounted, because many answers are read without a click and some visits show up as direct traffic. We report it as a directional signal, not a precise total.
How GEO works with the rest of your marketing
Paid media data shows which product angles and claims convert, which guides what your content should say. Landing page and conversion work makes sure AI referral traffic turns into orders. You do not need every Hale service to work with us on GEO, but when the work is connected, insight travels faster across channels.
The content side of this sits with our Organic Performance service.
How to choose an AI search agency
Most agencies describe their AI services in similar words. A few questions cut through it:
- How do they measure AI visibility? Ask to see an example report with tracked prompts, citations and referral traffic.
- Do they work off-site? A plan that is only on-page misses much of what AI tools rely on.
- Do they understand your business model? AI search looks different for a consumer brand than for local services or business-to-business firms.
- What do they promise? Be cautious of anyone guaranteeing a position in an AI answer.
- How does it connect to revenue? Visibility only matters if it reaches people who buy.