SEO & AEO for Visibility Across Search Engines & AI Platforms
We go beyond the SERP, building integrated search strategies that help your brand stay visible wherever buyers research, compare, and make decisions.
Audiences are searching in more places. We make sure they find you everywhere.
Search visibility extends beyond rankings. Your audience is using traditional engines, AI-generated answers, and emerging discovery platforms. We combine technical SEO, content strategy, structured data, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) into a unified approach that earns visibility across experiences.
Case Studies
We’re not chasing the algorithm, we’re setting you up for success. Lead the competition by building AI visibility through measured best practices now.
WesBanco’s SEO Strategy: From Invisible to Undeniable
WesBanco wasn’t showing up for the searches that mattered. Connected SEO and content work changed that.
YellaWood® SEO Grows Plan Downloads
Updated optimizations and strategic search architecture drove growth in site engagement and in-store purchases.The New SEO: Search Everywhere Optimization
-
Technical SEO & Site Architecture
Search visibility starts with a strong foundation. We optimize site structure, crawlability, performance, internal linking, structured data and other technical signals that help both search engines and AI platforms understand, index, and surface your content.
-
Content Strategy & Authority Building
The authority signals that drive organic visibility are often the same signals AI systems rely on when determining which sources to trust. We develop content architectures that answer questions, establish expertise, strengthen topical authority, and create long-term search equity,
-
AI Search Optimization (AEO & GEO)
AI-generated answers are critical to discovery. We consider all AI agents, from agentic search journeys to Retrieval-Augment Generation (RAG) environments, Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) alongside SEO to earn visibility across ChatGPT, Gemini, Copilot, Perplexity, AI Overviews, and emerging experiences.
-
Entity & Citation Development
AI platforms recommend brands they can verify through a network of trusted sources. We strengthen entity recognition, citation consistency, digital authority, and knowledge graph signals that improve your likelihood of being referenced and recommended.
-
Local Search Optimization
For brands with physical locations or service-area models, we optimize local listings and location-specific content to improve visibility in both traditional and AI-powered search. We also help you aggregate and understand your current reviews and citations, so you have a better idea what your users are saying about you and how to manage it.
-
BrandEcho Visibility Measurement
Our proprietary BrandEcho score measures AI share of voice across major search and AI platforms. Benchmarking visibility against competitors and identifying opportunities to improve presence, authority, and citation frequency over time.
Frequently Asked Questions
The questions we hear most ― answered directly, and without the runaround.
These are four disciplines within modern search visibility strategy, each addressing a different environment where your audience finds information. SEO — search engine optimization — builds organic visibility in traditional search engine results. AEO — answer engine optimization — structures content to be cited directly in AI-generated answers from platforms like ChatGPT, Gemini, and Perplexity. GEO — generative engine optimization — builds multi-platform brand authority across the sources that generative AI engines draw from when constructing answers. AIO — AI optimization — combines AEO and GEO into a unified strategy for earning the AI-generated answer across all major platforms simultaneously. Each discipline is necessary; none is sufficient on its own.
60% of searches now end without a click — AI platforms deliver the answer directly, before a user ever visits a website. Gartner projects a 25% decline in traditional search volume by 2026, and the number one organic result has already seen a 34.5% drop in click-through rate when AI Overviews appear above it. A brand that ranks well in traditional search but is absent from AI-generated answers is losing influence at exactly the stage where buyers are forming their shortlists. A complete search strategy addresses both environments.
Brunner builds AI citation authority through two parallel tracks. The first is content structuring: answer-first content formats, FAQ and schema markup, question-led headings, and atomic paragraph structure that AI engines can extract and quote. The second is ecosystem presence: third-party citations, PR and media mentions, forum and community visibility, knowledge graph integration, and consistent brand entity signals across every platform that AI engines treat as trusted sources. AI engines only recommend brands they can verify across multiple independent sources — Brunner builds the consensus that makes your brand verifiable.
BrandEcho Score is Brunner’s proprietary AI share-of-voice metric. It is a composite 0 to 100 score that measures how frequently and prominently a brand is cited across the major AI search platforms — ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews — updated monthly and benchmarked against a brand’s competitive set. The score is built from hundreds of brand-relevant queries run across each platform, with each mention weighted by platform authority, source type, sentiment, and position in the AI response. It gives brands a single, trackable measure of AI visibility and a clear picture of where they are losing ground to competitors.
Brunner’s AI Visibility Audit is a baseline assessment of where a brand currently stands across traditional search, AI-generated answer environments, and the generative source set. It covers technical SEO health, current AI citation frequency by platform, content structure readiness for answer extraction, entity presence and knowledge graph status, and competitive benchmarking via BrandEcho Score. The audit produces a prioritized roadmap — quick wins that can be implemented within weeks and long-term authority-building plays that compound over time.
Local search and AI search are increasingly related. AI-powered search assistants and voice queries are heavily local in intent, and the business listing accuracy, review signals, and local content authority that produce strong local search rankings are the same signals that AI engines use to verify local business credibility. Brunner’s local search strategy is built with both traditional local rankings and AI answer eligibility in mind, so local authority compounds across both environments rather than being optimized for one at the expense of the other.
Our Partners
We work with partners that make the whole system stronger. The right platforms surface better signals, move faster, and keep the work aligned from insight to proof.
