Generative Engine Optimization Services
Help Your Brand Get Discovered in AI Search
Generative Engine Optimization (GEO) improves how your brand appears in AI-generated answers. When buyers ask ChatGPT or Google’s AI search features which product or provider fits their needs, the answer is assembled from sources across the web. GEO strengthens those sources.
We audit your visibility, set strategy, improve content and technical access, align brand facts, and measure what changes. The aim is more chances to be mentioned or cited, with a baseline you can track.
4.9/5 client rating
Recognized growth company
Experience with GPT models
Experience with Anthropic Claude models
GEO for a Creator Marketing SaaS Platform
We helped a marketing platform for creators to become easier for AI systems to understand, cite, and recommend, resulting in a 65% increase in AI citations.
Furniture Retailer GEO Optimization
See how a furniture retailer boosted visibility and revenue with GEO (Generative Engine Optimization).
Online Food Store
See how we transformed the social media strategy of a leading online food store, achieving a 50% increase in sales and reducing ad spend by 33%.
What Is Generative Engine Optimization?
Generative Engine Optimization is the practice of improving a business’s content and wider web presence so the sources behind AI-generated answers are easier to find, describe, and reference accurately. A mention is your brand named in a response. A citation is a link to a source the system used, which may be your page or a third party.
The work rests on SEO fundamentals: useful content, reliable business facts, and pages that can be crawled and read. People now ask AI tools detailed research questions, and those systems assemble answers from sources they can retrieve. GEO improves the evidence available to them. It does not control what a model chooses to say.
Buyer-Focused Topics
Clear Brand Facts
Useful Source Content
Accessible Web Pages
Consistent External Profiles
Measured AI Visibility
Our Generative Engine Optimization Services
Our generative engine optimization services can start with a single visibility problem or run as an ongoing program. Each area below stands on its own, and most engagements combine several as priorities become clear.
AI Visibility Audit
We assess how your business and competitors appear in sampled answers to branded, category, comparison, and problem-led questions. The review covers which pages are cited, where descriptions are inaccurate or out of date, what content is missing, and whether crawl or indexing issues limit access. Findings are ranked by likely impact, giving you a documented starting point rather than a general impression.
Includes:
- Visibility baseline
- Competitor and source gap analysis
- Prioritized findings
GEO Strategy & Consulting
Our generative engine optimization consulting connects priority products, services, and buyer questions to a practical plan. We define target markets, prompt groups, page priorities, responsibilities, and success measures. The output is built to be used by an internal marketing team or by a managed delivery team, with defined owners and sequencing.
Includes:
- Buyer-question and topic map
- Prioritized roadmap
- Measurement plan
Content Optimization & Development
We improve the service, product, category, comparison, and educational pages buyers are likely to consult. Direct answers, useful detail, original expertise, evidence, and consistent facts matter more than volume. New content is commissioned where a real question or gap calls for it, not produced in bulk to fill a publishing calendar.
Includes:
- Priority page updates
- Briefs for missing content
- Evidence and expert-review requirements
Technical SEO & Structured Data
We address access, rendering, indexability, internal linking, and relevant structured data. Each fix is tied to content that people and search systems can retrieve and use, so technical work supports the pages that matter rather than sitting apart from them. Structured data is written to match visible page content.
Includes:
- Technical remediation backlog
- Implementation or developer guidance
- Validation of applicable markup and page access
Brand Entity & Profile Optimization
An entity is the consistent account of who your business is, what it offers, and who it serves. We align website facts with relevant business profiles, review authorship where useful, and check the evidence behind claims. The aim is fewer contradictions across the places buyers and AI systems look for information about you.
Includes:
- Core brand-fact record
- Profile consistency review
- Priority profile and on-site updates
Third-Party Visibility & Authority
AI answers often draw on sources beyond your website. We map industry publications, directories, reviews, and other credible coverage that shapes how your brand is discovered, then identify gaps and realistic opportunities to contribute accurate information. Delivery is scoped around the channels and effort agreed with your team.
Includes:
- Source and coverage gap map
- Relevant outreach and content opportunities
- Coordination plan for external visibility work
AI Visibility Monitoring & Reporting
We track sampled brand mentions, cited pages, description accuracy, and competitor presence against an agreed prompt set. Where data allows, we connect those observations to identifiable referral visits and conversions, keeping citations, traffic, and business outcomes as separate measures. Reviews focus on what changed and what to address next.
Includes:
- Agreed prompt and market tracking set
- Visibility and business-metric reporting
- Prioritized improvement recommendations
WiserBrand in Numbers
WiserBrand has delivered digital marketing work for more than a decade. GEO engagements draw on that company-wide experience and capacity.
How GEO Supports Your Business
GEO influences where buyers meet your brand during research and how accurately it is described when they do.
Visibility During Buyer Research
People comparing providers, products, or software increasingly ask AI tools for shortlists and explanations. Appearing in those answers creates more opportunities to enter consideration, even when the buyer never clicks through.
Clearer Brand Representation
Current, consistent facts about what you sell, who you serve, and what you can prove give external systems better evidence to work with. The work centers on keeping that evidence accurate, specific, and easy to use.
More Relevant Discovery Opportunities
Useful answers can send qualified visitors to a page that addresses their question, where some will inquire or buy. Visibility also matters without a click, since a brand named in an answer can shape a shortlist before any site visit.
Stronger Search Foundations
Well-structured content, accessible pages, and consistent information support your existing search program as well as AI answers. Improvements are assessed platform by platform, since no single change is guaranteed to help everywhere.
AI Search Platforms We Optimize For
We assess visibility across the AI search surfaces your buyers use, then turn what we find into content, entity, and technical work. Coverage depends on the agreed markets, product access, and search availability.
ChatGPT
We test branded, category, and comparison questions to see whether the brand is included and which sources are linked in web-search responses. Gaps become page briefs, brand-fact corrections, or technical fixes rather than a single platform adjustment.
Google AI Overviews & AI Mode
We look at whether pages are included as supporting sources in Google’s AI search features, within the same eligibility rules as established Search. Because those rules follow ordinary Search practice, findings go into the existing content and technical backlog rather than a separate AI checklist.
Perplexity
For research-style questions, we review which owned and third-party pages are cited and how fully they cover the topic. Thin or outdated pages move into the content plan, while missing external sources are added to the coverage map.
Gemini
We check brand and offering accuracy in relevant search-grounded responses, assessed separately from Google Search features. Mismatches feed entity and profile updates, and the two surfaces are tracked separately.
Microsoft Copilot
We review web-grounded mentions and citations for priority questions. Source and page findings then set priorities for technical access, content updates, and profile consistency.
Claude
When web search is available and used, we assess how the brand and its sources are represented. Findings inform page revisions and source improvements, within the limits of search-enabled use.
Generative Engine Optimization by Industry
Buyers research differently depending on what they are buying. These examples show the questions and content that tend to matter in each sector, as starting points rather than fixed templates.
Retail
Product discovery often begins with a specific constraint: fit, material, budget, or use case. Shoppers compare options across retailers and marketplaces, and AI answers may summarize several products before any store is visited.
- Buyer questions: Which products fit a particular need, size, material, or budget? How do alternatives compare?
- Content priorities: Product and category facts, buying guides, relevant comparisons, current policies, and review information.
B2B Software & SaaS
Software buyers arrive with a workflow, a team size, and an existing stack to integrate with. They ask for shortlists, limitations, and alternatives long before they contact a sales team.
- Buyer questions: Which tools suit a workflow or company size? What integrations, limitations, and alternatives matter?
- Content priorities: Features, use cases, integration information, accurate comparisons, and evidenced customer outcomes.
Professional Services
Buyers look for a provider that has handled their problem, industry, or location. Trust depends on visible expertise and a practical picture of how delivery actually works.
- Buyer questions: Which provider handles this problem, industry, or location? What expertise and delivery experience can it demonstrate?
- Content priorities: Specific services, expert profiles, case studies, service areas, and defined delivery scope.
Manufacturing
Specification and application drive the search. Engineers and procurement teams need to know whether a supplier can meet tolerances, certify materials, and work within constraints.
- Buyer questions: Which suppliers meet a specification or application? What capabilities, certifications, and constraints matter?
- Content priorities: Technical capabilities, applications, product and specification detail, verified certifications, and supporting documentation.
Finance
Buyers compare providers on regulation, fees, eligibility, and risk. AI answers may summarize options before anyone speaks to an advisor, so accuracy about products and terms carries real weight.
- Buyer questions: Which financial product or provider fits this situation? What fees, eligibility rules, and risks apply?
- Content priorities: Product and service terms, eligibility criteria, regulatory disclosures, fee explanations, and comparisons.
Construction
Construction buyers weigh delivery risk as much as capability: site constraints, permits, sequencing, and whether a firm has completed comparable projects on similar timelines. Evidence of past delivery often matters more than a broad service list.
- Buyer questions: Can this contractor deliver within our site, schedule, and compliance requirements? What comparable projects have they completed?
- Content priorities: Project case studies, service areas, licensing and permit experience, safety information, tender documentation, and delivery process.
Law
Legal research often starts with the problem rather than the firm: what the law allows, which jurisdiction applies, and what a matter involves. Firms that explain process, risk, and scope in plain language are easier to evaluate and shortlist.
- Buyer questions: What does this kind of matter involve, and which jurisdiction applies? Which firm has relevant experience in this area?
- Content priorities: Practice-area explainers, jurisdictional guidance, lawyer profiles, representative matters, and defined engagement terms.
Insurance
Buyers compare coverage, exclusions, eligibility, and price. AI answers may summarize policy types or providers, so plain explanations of terms and current product details matter.
- Buyer questions: Which policy or provider covers this need, location, or risk? What exclusions, limits, and eligibility rules apply?
- Content priorities: Coverage explanations, exclusions and limits, eligibility information, claims guidance, and current product details.
Our Generative Engine Optimization Process
A typical implementation engagement moves through six stages. Audit-only projects use the stages that apply, so a baseline review will not automatically include implementation work.
Agree what the business needs from GEO and what is available to support it.
Build a documented view of current visibility and the factors behind it.
Choose the questions and pages that deserve attention first.
Ship the approved content, technical, profile, and external visibility work.
Retest the prompt set and connect observations to business data.
Turn what the last cycle showed into the next set of priorities.
Discover & Define Goals
1-3 DaysWe start with priority offers, audiences, markets, and commercial objectives, then confirm who can provide access to analytics, search consoles, publishing, and development. This stage also sets how success will be judged.
- Agreed scope and priorities
- Success measures
- Access and stakeholder requirements
Audit & Establish the Baseline
2-3 DaysWe sample AI answers for relevant questions, compare competitor and source coverage, and review content quality, technical access, and consistency of brand facts. The point is to separate confirmed problems from assumptions before work begins.
- Visibility baseline
- Source and content gaps
- Technical findings
Prioritize & Plan
1-3 DaysNot every gap deserves the same effort. We weigh relevance to revenue, strength of available evidence, implementation effort, and dependencies such as a pending site migration, then sequence the work.
- Prioritized roadmap
- Page and content briefs
- Responsibilities
Implement Improvements
1-2 WeeksPublishing follows agreed briefs and review steps, while technical changes go through your development process and are validated after release. Profile updates and any external activity are coordinated with the owners responsible for them.
- Updated priority assets
- Validated technical changes
- Implementation and change record
Measure & Review
1-3 DaysWe repeat the agreed prompt and market sample, compare citations and brand accuracy with the baseline, and review identifiable visits and conversions where tracking allows. Sampled results show patterns rather than the full range of answers any user might see.
- Comparison with baseline
- Findings with sampling limits
- Next actions
Refine & Expand
OngoingObserved changes are considered alongside sales feedback, new product launches, competitor moves, and shifts in which sources platforms cite. Some results will not be attributable to a single edit, so decisions rely on the combined picture.
- Revised priorities
- Updated content backlog
- Proposed next scope
Generative Engine Optimization Case Studies
These projects show how content and technical improvements were linked to changes in AI visibility or business performance. Each case sets out the starting point, the work, and the principal result, measured within that project’s own scope.
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Frequently Asked Questions
Still Have Questions? Talk to Our TeamThey share the same foundations: useful content, accessible pages, and consistent information. SEO builds eligibility and source quality across search, while GEO adds attention to how brands and sources appear in generated answers. Answer Engine Optimization (AEO) is used in different ways, often covering direct-answer features. Most of what is called generative AI SEO is this same work applied to a different surface, so the boundaries stay practical rather than rigid.
Implementation and observation move at different speeds. Publishing a page or fixing access can happen on your team’s schedule, while inclusion in answers depends on crawling, refresh timing, competition, and how often a question is sampled. Some changes appear in early checks; others take longer to form a pattern. We report what is visible at each review rather than promising a fixed date.
We track sampled mentions, linked citations, description accuracy, and competitor presence across an agreed prompt set and markets. Where tracking allows, we also review identifiable referrals and conversions. Share of voice is calculated against that same sample, not the whole platform. No single metric covers all AI activity, so these measures are read together with their sampling limits.
Cost depends on site size, the condition of existing content, the number of priority markets and offers, technical work required, external visibility scope, and monitoring depth. A focused audit is smaller than an ongoing program with implementation and reporting. We estimate after reviewing the site and goals, since scope drives the number.
No. Platforms choose their own responses, and no agency can guarantee inclusion, ranking, or citation. What the work can improve is the quality and accessibility of the sources a system may draw on, along with the consistency of facts about your business. We measure observed coverage and report it honestly, including where it has not changed.
Yes. Many clients keep their SEO team or agency and use us for GEO-specific work. That requires agreed responsibilities: who owns content production, technical releases, and reporting, and how findings are shared. Consulting suits teams that will implement; managed delivery suits teams that want the work handled. We do not need to own the broader SEO program.
In most cases, no. Many improvements can be made to existing pages, CMS setup, and profiles, with development needs assessed during the audit. A rebuild may be justified for other reasons, but it is not a prerequisite. Private assistants, model training, and custom integrations are separate scopes outside this service.
AI answers often rely on third-party sources: industry publications, directories, review sites, and profiles that describe your business. If those sources are outdated or contradictory, the answer may reflect that. Accurate profiles, credible coverage, and current reviews help, though no public model is obliged to accept a preferred narrative. External work is scoped according to what is agreed.
The phrase is used for different things. Sometimes it means improving visibility in AI-generated answers, which is what GEO covers here. Other times it refers to improving AI applications themselves, such as assistants or automated workflows. This page concerns discoverability and representation in AI search, not building AI products.