Generative Engine Optimisation Agency in Savonburg

Week 1–2

GEO Audit & Baseline

Full AI visibility scan across 5 LLM platforms using 200+ Savonburg-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 Savonburg 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 Savonburg 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 off-site mentions so that LLMs – the AI systems that power tools like ChatGPT, Perplexity, and Google AI Overviews – include your business by name when generating answers to relevant buyer queries. Unlike traditional SEO, which positions your website in a list of links, GEO places your brand inside the AI-generated answer itself, as a named and cited source. LLMs decide what to cite based on a combination of factors: how clearly your brand is defined as an entity across structured data sources, how frequently authoritative third parties mention you in relevant contexts, and how well your content directly answers the questions buyers are asking. For a Savonburg business – whether you supply agricultural inputs, provide oil field services, or operate in rural logistics – the practical consequence is this: when a procurement manager in Allen County or a buyer from a larger Kansas operation asks an AI tool for vendor recommendations in your category, your business needs to be in that answer or the buyer moves forward without you. GEO builds the citation infrastructure that makes that inclusion possible and repeatable.

Based on our work with 500+ B2B brands, the typical timeline to first measurable AI citations is six weeks from programme launch. The process follows a specific sequence. In weeks one and two, we conduct your full audit: running 200+ queries across ChatGPT, Perplexity, and Google AI Overviews to map your current citation gap, identify competitor citation authority in your Savonburg market category, and produce your entity structure report. In weeks three and four, we execute the content and entity architecture phase – restructuring existing content for AI citation eligibility, creating new entity-rich materials, and submitting corrected structured data to the sources LLMs draw on. In weeks five and six, we launch the first wave of off-site citation placements in trade publications and authoritative industry directories, and we begin seeing initial citation emergence in our query monitoring. By the end of the 90-day programme, most Savonburg clients have established measurable citation authority across their primary query categories, with continued growth in AI Citation Frequency through months four to six.

SEO and GEO target entirely different systems with entirely different ranking signals. SEO works by optimising for Google's PageRank-based algorithm, which evaluates backlinks, page authority, keyword density, and technical site factors to determine where your page appears in a list of results. A user then chooses to click or not. GEO works by optimising for the citation logic of LLMs, which do not produce a ranked list – they generate a direct answer and either include your brand by name or they do not. The signals LLMs use to decide what to cite include entity clarity, the presence of your brand in authoritative third-party sources, the density of factual claims associated with your brand, and the structural accessibility of your content for AI parsing. A Savonburg agricultural supplier could rank on page one of Google for 'farm equipment Allen County' and still have zero presence in ChatGPT's answer to the same query – because the LLM is not reading Google's index, it is drawing from its own citation pool built from different sources entirely. Both disciplines have value, but they require separate strategies and cannot be substituted for each other.

We optimise for five AI platforms, each of which has a distinct citation logic that requires tailored strategy. ChatGPT, powered by OpenAI's GPT-4 architecture, draws heavily on entity recognition and the presence of your brand in sources that were included in its training data – meaning off-site mentions in trade publications and structured directories carry significant weight. Perplexity operates as a real-time retrieval system, which means it actively pulls from current web sources when answering queries, making fresh content and recent third-party mentions particularly important for Perplexity citation authority. Google AI Overviews, integrated into Google Search, synthesises answers from indexed web content and prioritises sources with strong E-E-A-T signals – experience, expertise, authoritativeness, and trustworthiness – meaning structured content with clear authorship and factual claims performs well. Microsoft Copilot, integrated into Microsoft 365 and Bing, weights sources that appear in Bing's index with strong domain authority in relevant categories. Google Gemini combines Google's knowledge graph with generative output, making entity data consistency across Google-owned and affiliated sources especially important. For Savonburg B2B businesses, we prioritise ChatGPT and Perplexity first, as these represent the highest-volume AI research tools in B2B purchasing workflows.

The free GEO audit delivers five specific, actionable outputs within 48 hours of your request. The first deliverable is an AI visibility report: we run 200+ queries relevant to your Savonburg business category across ChatGPT, Perplexity, and Google AI Overviews and document exactly where your brand appears, where it is absent, and which competitors are currently being cited in your place. The second deliverable is a competitor citation benchmark: a structured comparison of citation frequency and citation sources for the top three to five competitors in your Allen County or southeast Kansas market category. The third deliverable is an entity gap analysis: an audit of how your business is represented – or misrepresented – across the structured data sources and third-party directories that LLMs draw on, identifying every gap that is suppressing your citation eligibility. The fourth deliverable is a content audit: a page-by-page assessment of your existing website content against AI citation criteria, with each page rated for restructuring potential versus replacement priority. The fifth deliverable is a prioritised 30-day action plan: a specific, ranked list of content, entity, and off-site tasks with expected citation impact scores for your particular market category, ready to implement immediately whether you engage BAMS or not.

Allen County's economy has historically centred on oil and gas extraction, row crop agriculture, and the rural supply chain businesses that support both – and each of these sectors has specific characteristics that affect GEO strategy. In oil field services, B2B procurement increasingly involves out-of-region energy companies making vendor decisions remotely, often starting with AI queries to identify local contractors before making contact. This means citation authority in query categories like 'oil field service contractors southeast Kansas' or 'well maintenance services Allen County' directly influences which local businesses get shortlisted by buyers who may never have heard of Savonburg before. In agriculture, large farm operations and co-ops are using AI tools to compare input suppliers, equipment dealers, and agronomic service providers across wider geographic areas, meaning a Savonburg supplier with GEO authority can appear in AI answers for queries originating well outside Allen County. We tailor the content architecture, entity structures, and off-site placement targets specifically to the trade publications, industry databases, and authoritative sources that LLMs weight most heavily for energy and agricultural B2B queries – which differ meaningfully from the sources relevant to, say, urban professional services.

BAMS Digital offers three service tiers designed for different stages of B2B growth. The Starter plan is $1,490 per month and covers the foundational GEO workstreams: a full audit, entity structure corrections, content architecture for up to five priority query categories, and monthly citation monitoring across ChatGPT, Perplexity, and Google AI Overviews. This tier suits Savonburg businesses with a focused product or service category and a defined local market. The Growth plan is $2,990 per month and expands the content programme to 15 query categories, includes an active off-site citation placement campaign in trade and industry publications, a competitor citation monitoring dashboard, and quarterly strategy reviews with Alisa Bolokhovets directly. This tier suits businesses targeting buyers across multiple counties or seeking citations in regional and national AI queries. The Authority plan is $5,990 per month and delivers the full citation infrastructure build: unlimited query category targeting, a high-volume off-site mention programme across 20+ authoritative sources per month, weekly citation reporting, entity graph maintenance, and dedicated strategic management. This tier suits Savonburg businesses competing for citations in national B2B query categories or operating across multiple industry verticals. All plans include the free audit before any commitment is required.

GEO and SEO are complementary disciplines that target different systems, and running both simultaneously produces better outcomes than either alone. A strong SEO programme builds domain authority, increases the volume of indexed content, and generates backlinks – all of which contribute indirectly to GEO performance because LLMs do draw on some signals that overlap with SEO metrics, particularly domain credibility and the presence of content on authoritative external sites. Conversely, the entity-rich, factually structured content that GEO requires often improves SEO performance as well, because search engines increasingly reward content that clearly demonstrates expertise and answers specific questions. For a Savonburg B2B business, the practical integration looks like this: your SEO agency continues managing technical site health, keyword rankings, and link building, while BAMS Digital layers the citation architecture, entity graph, and off-site AI-specific placements that drive AI visibility. We work alongside existing SEO providers without conflict and can share content briefs and entity data with your SEO team to ensure both programmes reinforce each other rather than working in isolation.

We track three primary metrics that collectively show the health and growth of your AI citation presence. AI Citation Frequency measures how often your brand is named in AI-generated answers across a defined set of 200+ queries relevant to your Savonburg business category, tracked monthly across ChatGPT, Perplexity, and Google AI Overviews. Share of AI Voice measures your brand's citation frequency as a percentage of total brand citations in your query category – showing whether you are gaining ground relative to competitors in Allen County and the broader southeast Kansas market. Brand Mention Velocity tracks the rate at which new third-party mentions of your brand are appearing in sources that carry LLM citation weight, indicating whether your citation authority is growing, plateauing, or declining. Monthly reports include all three metrics with trend lines, query-level citation logs, and specific content and entity actions taken in that period. We also track downstream business outcomes – inbound inquiry volume attributable to AI-referred traffic – where clients have the analytics infrastructure to support that measurement.

The most significant difference is that BAMS Digital was built as a GEO-native agency in 2024 – the methodology was designed from the start around LLM citation logic, not adapted from an SEO or content marketing background. Founder Alisa Bolokhovets holds an MBA from the University of Edinburgh and developed the BAMS citation architecture framework before the agency took its first client. Across 500+ B2B brands, the agency has generated more than 5,200 verified AI citations and documented a 212% average increase in inbound leads for clients in regional B2B markets comparable to Savonburg. Most agencies currently offering GEO services are SEO or content agencies that have added GEO as a secondary offering, meaning their audit tools, content frameworks, and off-site placement networks were built for search engine optimisation and are being repurposed for AI citation work with limited effectiveness. BAMS Digital's audit infrastructure, entity gap tooling, and publication placement network were built specifically for the citation logic of ChatGPT, Perplexity, and Google AI Overviews, which produces measurably faster citation emergence and higher citation frequency than adapted SEO approaches.