Generative Engine Optimisation Agency in Minneapolis

Week 1–2

GEO Audit & Baseline

Full AI visibility scan across 5 LLM platforms using 200+ Minneapolis-relevant queries. Citation map, competitor benchmark, and prioritised action plan delivered before any execution begins.

Week 2–3

Strategy Build

Custom GEO roadmap for your Minneapolis market: content gaps, entity priorities, platform targets, and a 90-day sprint plan presented for sign-off before execution.

Week 3–6 · First results

Content & Technical

Schema deployment, FAQ architecture, page restructuring, and author signals. First measurable AI citations typically appear here – within 6 weeks of project start.

Week 6–10

Authority Building

Brand mentions, editorial citations, and structured placements in authoritative sources that LLMs use as credibility proxies for Minneapolis brands.

Month 3+ · Ongoing

Monitor & Scale

Monthly AI Share of Voice reports. Continuous optimisation, new platform expansion, and ongoing citation rate improvement across all major AI platforms.

Generative Engine Optimisation is the practice of structuring your brand's content, entity data, and third-party mentions so that AI platforms like ChatGPT, Perplexity, and Google AI Overviews cite your business when buyers ask category-relevant questions. LLMs do not rank websites the way Google does – they generate answers by drawing on a citation pool of sources they have learned to recognise as authoritative, accurate, and well-structured. When a procurement manager at a Minneapolis health system asks ChatGPT "which medical device distributors in Minnesota have strong cold chain logistics," the AI selects brands based on entity recognition, co-citation frequency in trusted publications, and structured content clarity – not your Google ranking. If your brand is absent from the citation pool, you are absent from the answer. For Minneapolis B2B companies competing in high-value sectors like medtech, financial services, logistics, and enterprise software, that absence means buyers complete their shortlisting process without ever seeing your name. GEO closes that gap by systematically building the signals LLMs use to identify and cite authoritative brands.

Our process delivers first measurable AI citations for most Minneapolis clients within six weeks of programme launch. Here is exactly how that timeline works: in weeks one and two, we complete a full citation audit – running over 200 queries across ChatGPT, Perplexity, and Google AI Overviews to establish your current baseline, map entity gaps, and benchmark competitors in your Minneapolis category. In weeks three and four, we produce and deploy entity-optimised content assets targeting your highest-priority query clusters – these are structured in the formats LLMs are most likely to draw from during retrieval. In weeks five and six, we activate the off-site mention programme, placing your brand in authoritative third-party publications and industry sources that AI models already treat as trusted references. By the end of week six, most clients see their first verified citations appearing in at least one AI platform. Citation frequency and Share of AI Voice continue to grow through months two and three as the content and mention signals accumulate and are processed by AI retrieval systems.

SEO and GEO share some underlying content principles but operate on fundamentally different ranking and citation logic. SEO optimises for Google's crawl and index system, which evaluates keyword relevance, backlink authority, page speed, and user engagement signals to determine where your page ranks in a results list. If you rank position one for "logistics software Minneapolis," a user searching that exact phrase will see your link. GEO optimises for LLM citation logic, which evaluates entity clarity, co-citation frequency in trusted sources, structured content legibility, and contextual relevance to natural-language questions. A Minneapolis B2B SaaS company could hold the top Google ranking for its primary keywords and still receive zero citations when a buyer asks ChatGPT "what are the best workforce management platforms for distribution companies in the Twin Cities" – because those are different systems with different input signals. Our GEO methodology builds the specific signals that LLMs use, which in many cases requires producing different content formats, securing different types of third-party mentions, and structuring brand information in ways that have nothing to do with traditional SEO tactics.

We optimise for five AI platforms that collectively cover the majority of AI-assisted B2B buyer research in the Minneapolis market. ChatGPT, operated by OpenAI, is the most widely used AI assistant in enterprise settings and is the platform most Minneapolis B2B buyers use for vendor discovery queries – it draws on a combination of training data and real-time web retrieval through its browsing tool. Perplexity is a search-native AI platform that cites sources in real time and is rapidly gaining adoption among research-focused buyers in sectors like financial services and medtech. Google AI Overviews appear directly in Google Search results and are seen by millions of users daily – they are particularly influential for buyers who start research in Google before switching to a dedicated AI tool. Gemini, Google's AI assistant, shares some citation logic with AI Overviews and is deeply integrated into Google Workspace, making it relevant for enterprise buyers. Microsoft Copilot is embedded in Microsoft 365 and is gaining traction as a research tool in large Minneapolis employers like UnitedHealth Group and Target. Our monitoring system tracks your citation performance across all five platforms monthly.

The free GEO audit we provide to Minneapolis businesses includes five specific deliverables, all delivered within 48 hours of sign-up. First, a citation baseline report: we run over 200 category and location-specific queries across ChatGPT, Perplexity, and Google AI Overviews and document exactly where your brand appears, where it is absent, and which competitors are being cited in your place. Second, an entity gap analysis: we assess what structured information about your company – founding date, key personnel, product categories, geographic service area, certifications – is missing or unclear in the data sources that AI platforms draw from. Third, a content audit: we score your ten highest-traffic web pages against the content structure criteria that LLMs use to determine citation worthiness. Fourth, a competitor citation benchmark: we show you which Minneapolis-based competitors are already appearing in AI answers and on which specific query types. Fifth, a prioritised action plan: we list the ten highest-impact changes you can implement in the next 30 days to begin building AI citation authority, with no obligation to engage our paid services.

Minnesota is home to the highest concentration of medical device companies in the world, with over 800 firms in the Twin Cities metro generating more than $10 billion in annual revenue. The procurement and vendor evaluation processes in this sector are unusually rigorous – buyers at health systems, hospital networks, and device OEMs increasingly use AI tools to generate initial vendor lists before involving procurement teams. When a materials manager at Fairview Health Services or a sourcing director at a Mayo Clinic supplier asks ChatGPT "which contract manufacturers in Minnesota have ISO 13485 certification and experience in Class II device assembly," the AI will name the companies whose content clearly and repeatedly associates them with those specific regulatory standards, device classifications, and geographic identifiers. General website content and SEO-optimised product pages rarely contain the structured, entity-specific language that LLMs parse effectively. Our GEO work for Minneapolis medtech companies involves restructuring technical content to make regulatory credentials, device categories, and manufacturing capabilities legible to AI citation systems – ensuring that when a buyer asks the question that matches your capabilities, your brand is the one named in the answer.

We offer three GEO programme tiers for Minneapolis businesses, priced to match different stages of growth and competitive intensity. The Starter plan at $1,490 per month is designed for small Minneapolis B2B businesses entering one or two query categories – it includes the foundational content architecture, entity data optimisation, and monthly citation monitoring across ChatGPT and Perplexity for up to 100 tracked queries. The Growth plan at $2,990 per month is our most popular option for mid-sized Minneapolis companies in competitive categories like logistics, financial services, or professional services – it includes expanded content production, off-site mention placement in up to five authoritative publications per month, and full platform monitoring across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot for up to 200 tracked queries. The Authority plan at $5,990 per month is built for Minneapolis businesses in high-stakes categories – medtech, enterprise software, commercial real estate – where becoming the dominant AI-cited brand in a category requires aggressive content volume, 10+ monthly off-site placements, share of AI Voice reporting, and dedicated account management. All plans include the free audit before commitment and a month-to-month contract after the initial 90-day programme.

GEO and SEO are complementary disciplines and work well in parallel, provided the strategies are coordinated rather than siloed. Your existing SEO programme – whether managed in-house or by a Minneapolis SEO agency – generates keyword rankings, organic traffic, and indexed content that can serve as raw material for GEO. Well-structured SEO content, particularly long-form pillar pages and FAQ sections, often aligns with the content formats that LLMs prefer to cite. However, there are specific GEO actions that SEO programmes do not cover: entity graph development, structured data markup for AI legibility, off-site mentions in editorial sources weighted by AI models, and citation monitoring across AI platforms. We coordinate with your existing SEO team or agency to avoid content duplication and ensure that GEO-optimised assets also support your organic rankings where possible. Many Minneapolis clients run both programmes simultaneously and report that GEO investments often improve the depth and authority of their content ecosystem, which produces secondary benefits for SEO performance. The two strategies address different buyer touchpoints – Google search results versus AI-generated answers – and covering both is increasingly necessary as AI platforms capture a growing share of early-funnel B2B research.

We track three primary metrics for every Minneapolis client. AI Citation Frequency measures how often your brand is named in AI-generated answers across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot when we run your tracked query set – reported weekly and benchmarked against your starting baseline. Share of AI Voice measures the percentage of relevant category queries in which your brand appears versus your named competitors – for example, if your brand appears in 40 out of 100 tracked queries and your nearest Minneapolis competitor appears in 25, your Share of AI Voice is 40%. Brand Mention Velocity tracks the rate at which new third-party sources are citing your brand in contexts that AI platforms can retrieve, indicating whether your off-site mention programme is building citation pool authority at the expected rate. These metrics are reported in a monthly dashboard specific to your Minneapolis business, with plain-English commentary on what changed, why, and what actions we are taking in the following month.

BAMS Digital was built as a GEO-native agency from its 2024 launch – we have never offered SEO, paid media, or social media management. Every methodology, every tool, and every hire is specific to AI citation optimisation. Our founder Alisa Bolokhovets holds an MBA from the University of Edinburgh and developed our citation methodology based on primary research into how LLMs like GPT-4 and Claude select sources during retrieval-augmented generation – this is not adapted from SEO best practices. With over 5,200 verified AI citations generated across 500+ brands and an average 212% increase in AI-attributable inbound leads for clients within six months, our results in a nascent category are documented and specific. Most agencies serving Minneapolis that now offer "AI SEO" or "GEO services" have added these as bolt-on offerings to existing SEO or content packages – their underlying frameworks were not built for LLM citation logic. For Minneapolis B2B companies where AI-driven vendor discovery is already influencing procurement decisions, working with an agency whose entire operation is structured around GEO produces meaningfully different outcomes.