AI Search Optimization
We improve the content, entity signals, technical structure, and external consistency that help AI systems understand what your company does and use your information more reliably.
Buyers increasingly encounter answers directly inside Google AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity, and other generative systems. To appear accurately in those experiences, your company needs clear, accessible, consistent, and well-supported information.
AI search optimization builds on strong SEO rather than replacing it. If important pages cannot be crawled, understood, or trusted, AI visibility starts from a weak foundation.
The terminology is still evolving. We use AI search optimization as the umbrella outcome: helping systems understand, retrieve, and use your information more accurately.
AEO improves how clearly a page answers specific questions. That includes direct answer structure, useful formatting, supporting evidence, and technical markup where appropriate.
The content becomes easier to extract as an answer instead of reading like generic marketing copy.
GEO focuses on how your company is represented across generative search and answer systems. That involves your website, company facts, service definitions, expertise, and external sources that corroborate those claims.
AI systems have a clearer basis for identifying your company and distinguishing it from competitors or similarly named entities.
There is no single GEO or AEO switch. AI visibility depends on content quality, technical access, entity clarity, supporting evidence, and how consistently a company is represented across the web.
We identify the questions buyers ask and the topics your company can answer with real expertise and evidence.
We restructure important pages so questions are answered clearly, directly, and with the context needed to support the claim.
Company name, services, people, locations, and other core facts should be represented consistently across relevant sources.
Semantic HTML, structured data, internal linking, crawlability, canonicals, and other technical signals help systems access and interpret the content.
We strengthen vague pages with useful specifics, expert context, original information, proof, and clearly attributable claims where available.
We track a stable set of prompts over time and compare mentions, citations, source patterns, and answer framing instead of relying on isolated screenshots.
The clearer and more consistent the underlying evidence, the easier it is for systems to understand who you are and what you are relevant for.
Page structure, useful content, technical access, and consistent company information.
What you offer, who it is for, where you operate, and how each service is described.
Named experts, authorship, responsibility, and clearly attributable first-party knowledge.
Machine-readable information that accurately reflects what is visible on the page.
Reviews, directories, media mentions, client references, and other external sources that support or contextualize your claims.
Daraus entsteht
The goal is to make your business easier to identify, understand, retrieve, and verify across search and AI systems.
An AI visibility audit creates a baseline. We define a relevant prompt set, check where your brand appears, review how it is described, inspect which sources are being cited, and identify the technical or content gaps most worth addressing first.
Webnity X has developed its own GEO Audit software for AI-visibility measurement. The public product is currently German-language, so we do not send EN-US visitors into that experience yet.
Request an AI visibility assessmentProgrammatic SEO is a separate service. It creates scalable page systems from validated data and search patterns. AI search optimization improves how existing company information and content are understood. The two can support each other, but they solve different problems.
We use a stable prompt set so changes can be compared over time. AI answers are dynamic, so one screenshot is not a reliable measurement strategy.
For how many prompts in the tracked set does your company appear at all?
Example21 of 40 prompts instead of 12 in the previous measurement.
Is your company named in the answer, and in which systems?
ExampleMentioned in Perplexity, not mentioned in ChatGPT.
Does the answer cite one of your pages or another source that supports your brand?
ExampleA technical article from your site is cited beneath the answer.
How is the company described when it appears?
ExamplePresented as specialized but expensive—useful input for positioning.
AI answers change by model, prompt wording, time, location, and system behavior. We measure trends through repeated testing. Mentions and citations can be influenced, but they cannot be guaranteed.
We decide which topics and prompts matter commercially and what a useful improvement would look like.
We compare your website, company information, structured data, and relevant external sources to find inconsistencies and evidence gaps.
We separate blocking technical issues from content improvements, entity work, and longer-term authority building.
We update content, structure, structured data, internal links, and other technical or entity signals within the agreed scope.
We rerun the same prompt set over time and use the changes in mentions, citations, and answer framing to determine the next priorities.
The right engagement depends on whether you need a baseline, a focused implementation project, or continuous measurement and improvement.
Establish where your brand appears today and what is limiting visibility.
Starting at $2,490One-time
Includes
Common starting point
Implement the highest-priority content, entity, and technical foundations identified in the audit.
Starting at $3,490One-time
Includes
For companies that want ongoing measurement, content refinement, source development, and changing AI-search behavior monitored over time.
Starting at $1,990/monthMonthly
Includes
Mentions, citations, and recommendations cannot be guaranteed. Pricing depends on the number of markets, services, prompt themes, and implementation requirements.
We can move from diagnosis to implementation across content, website structure, technical SEO, and entity signals instead of stopping at a visibility report.
When content structure, schema, crawlability, or internal links are part of the problem, we can implement the website changes directly.
We use repeatable prompt sets and documented observations rather than presenting one favorable screenshot as proof of visibility.
We define which discipline addresses which problem instead of selling every search activity under the newest label.
You work with a clear point of contact and receive a prioritized explanation of what matters now, what can wait, and why.
No agency controls which source an AI system chooses. We improve the conditions, measure the result, and stay explicit about that limitation.
These are company-level trust signals. Do not present them as a proven AI-search client track record or GEO certification.
AI search optimization is the work of improving how clearly a company and its content are understood, retrieved, mentioned, and cited across AI-powered search and answer systems. It can include SEO, entity work, answer-focused content, structured data, source development, and recurring visibility measurement.
GEO focuses on how a company, brand, or source is represented inside generative search and AI answers. In our work, GEO sits inside the broader goal of AI search optimization rather than being treated as a separate magic technique.
AEO improves how directly and clearly content answers specific questions. That can include page structure, concise answers, supporting evidence, formatting, and technical markup.
SEO primarily improves discoverability and performance in search engines such as Google and Bing. AI search optimization adds the question of whether generative systems understand, mention, cite, or recommend the company accurately. The two share technical and content foundations but are not identical.
No. AI systems choose and synthesize sources dynamically. We can improve the clarity, accessibility, consistency, evidence, and authority surrounding your company, but no agency can guarantee a specific mention or citation.
We define a stable prompt set and repeat it over time across selected systems. We can track prompt coverage, brand mentions, citations, answer framing, and source patterns rather than relying on one-off screenshots.
Not necessarily. We usually improve the pages that are vague, inconsistent, poorly structured, or missing evidence. Useful existing content should be strengthened rather than replaced for the sake of rewriting it.
Technical fixes can be implemented quickly, but changes in external sources, entity consistency, citations, and AI-system behavior can take longer and vary by platform. We do not provide a universal visibility timeline.
Our AI Visibility Audit starts at $2,490, the AI Search Setup starts at $3,490, and ongoing AI search optimization starts at $1,990 per month. Final scope depends on markets, services, prompt themes, content needs, and implementation requirements.
AI search optimization improves how a company and its information are understood across search and generative systems. Programmatic SEO creates scalable landing-page systems from validated data and repeatable search intent. They can support each other, but they solve different problems.
Tell us which services, markets, and buyer questions matter. We will review the current signals and recommend the most useful next step.
Get a custom proposal