Generative Engine Optimisation Agency in Galva

Week 1–2

GEO Audit & Baseline

Full AI visibility scan across 5 LLM platforms using 200+ Galva-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 Galva 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 Galva 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 digital presence so that LLM-powered platforms – ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot – cite your business by name when answering relevant buyer queries. LLMs do not retrieve answers the way a search engine does. They generate responses based on training data and retrieval-augmented sources, selecting brands that exist as confirmed, well-documented entities with multiple authoritative third-party mentions. For a Galva business, this means that when a procurement officer at a Henry County cooperative asks ChatGPT "who are the leading grain handling equipment suppliers in north-central Illinois," the model will only include your brand if it has been deliberately built into the citation pool through structured schema, entity registration, and off-site mentions in sources the model trusts. Without GEO, your business is structurally excluded from those answers – not due to quality, but due to digital architecture. Given that 68% of B2B buyers now use AI tools in the vendor research phase, being excluded from AI answers means being excluded from the consideration set before a buyer ever visits your website.

The BAMS Digital engagement timeline for Galva clients runs on a six-week initial cycle with measurable citation appearances by week six. In weeks one and two, the agency conducts a full citation audit across ChatGPT, Perplexity, and Google AI Overviews, running 200-plus queries specific to your Galva industry category – agricultural supply, metal fabrication, logistics, or B2B services – to map the current citation landscape and identify gap opportunities. In weeks three and four, content restructuring and entity registration work is deployed: key pages are rewritten in citation-optimised formats, structured schema markup is implemented, and your brand is placed in the authoritative off-site sources that LLMs draw from. By weeks five and six, the first verified citation appearances begin emerging in platform monitoring, tracked through Brand Mention Velocity dashboards. The citation volume then builds progressively through weeks seven to twelve as the compound citation effect takes hold. Clients in comparable Midwest B2B markets reach significant Share of AI Voice within four to five months of the engagement start date.

SEO is built on ranking signals: backlink authority, keyword density, page speed, domain rating, and click-through behaviour. These signals determine where your page appears in a list of search results. GEO is built on citation signals: named entity resolution, structured data markup, third-party mention frequency, content factual density, and source authority as evaluated by LLM retrieval logic. A Galva agricultural equipment supplier could hold a page-one SEO position for "grain bin suppliers Illinois" and still be completely absent from ChatGPT's answer to the same query – because ChatGPT does not read Google's ranking list. It generates an answer from its own retrieval sources. Conversely, a business with moderate SEO performance but strong GEO positioning can dominate AI-generated answers in its category. The two disciplines require different technical approaches, different content formats – GEO favours direct declarative statements, defined entities, and verifiable facts over long-form keyword articles – and different measurement frameworks. BAMS Digital builds GEO strategy independently of SEO, while ensuring the two programmes do not conflict.

BAMS Digital optimises Galva clients for five primary AI platforms, each with distinct citation logic. ChatGPT uses retrieval-augmented generation drawing from browsable web sources and its training corpus – it responds well to structured entity data, factual page content, and mentions in sources it indexes regularly. Perplexity is a real-time retrieval engine that actively crawls the web when answering queries – it heavily weights recently published, authoritative third-party mentions and structured citations, making off-site placement a priority. Google AI Overviews integrates with Google's Knowledge Graph, meaning entity registration via schema and Google Business Profile signals directly influences which brands are included in AI-generated answer boxes that now appear above organic results. Microsoft Copilot draws from Bing's index and benefits from the same structured data signals as traditional Bing SEO, with additional weighting on LinkedIn entity authority – particularly relevant for Galva B2B companies targeting professional procurement audiences. Finally, Google Gemini uses a blend of Knowledge Graph data and crawled content, with strong responsiveness to structured FAQ and entity-confirmation signals. Each platform receives a tailored optimisation strategy within the BAMS Digital engagement.

The free GEO audit BAMS Digital delivers to Galva B2B businesses includes five specific deliverables, returned within 48 hours of your request. First, a citation gap report: the agency runs 200-plus queries relevant to your specific Galva industry across ChatGPT, Perplexity, and Google AI Overviews, documenting which brands are cited in AI answers and where your business is absent. Second, an entity authority score: a structured assessment of how well LLM systems can currently resolve your brand as a confirmed Galva business entity, identifying gaps in schema markup, Wikidata presence, and third-party citation sources. Third, a content readiness audit: a page-by-page review of your existing site identifying which content can be restructured for citation optimisation within 30 days versus which requires new creation. Fourth, a competitor citation benchmark: a map of which regional and national competitors hold citation positions in your Galva market query set, with an analysis of how they built those positions. Fifth, a prioritised 90-day action plan with specific content, entity, and off-site targets ranked by citation impact – actionable immediately whether or not you proceed to a paid engagement.

GEO is particularly well-suited to agricultural B2B businesses in Galva and Henry County because the query patterns AI platforms receive from ag-sector buyers are highly specific and frequently repeated – making citation pool positions especially valuable. A grain elevator operator sourcing aeration equipment, a seed distributor evaluating logistics partners, or a co-op purchasing manager researching input suppliers will type very similar queries into ChatGPT or Perplexity, and the same cited brands will appear repeatedly in those answers. Henry County's agricultural economy – processing millions of bushels annually through facilities connected to regional rail and highway infrastructure – generates a predictable and high-value B2B buying cycle that AI-generated answers increasingly influence. BAMS Digital has mapped the query landscape for north-central Illinois agricultural procurement and identified more than 40 high-traffic query categories where citation positions are currently held by out-of-region brands. For Galva-based ag suppliers, equipment dealers, and input distributors, these are recoverable positions – but the window for entry before the citation pool consolidates is approximately 60 to 90 days from now.

BAMS Digital offers three engagement tiers for Galva B2B businesses, priced to reflect the scope of citation work required at each level. The Starter plan at $1,490 per month covers a single service line or product category: one citation audit cycle, content restructuring of up to eight pages, basic entity registration, and monthly Share of AI Voice reporting across 50 queries. This tier suits Galva businesses entering GEO for the first time with a focused product or service offering. The Growth plan at $2,990 per month extends coverage to three product or service categories, includes active off-site citation placement in 10-plus authoritative sources per month, full entity graph construction, and weekly monitoring across 150 queries – appropriate for Galva manufacturers or distributors with multiple buyer segments. The Authority plan at $5,990 per month delivers full-market dominance strategy: unlimited category coverage, 25-plus off-site citations per month, competitive citation displacement targeting, daily monitoring across 300-plus queries, and a dedicated strategist. All plans include the free 48-hour audit before any contract is signed, and there are no lock-in periods beyond the initial 90-day cycle.

GEO and SEO run in parallel without conflict and, when coordinated properly, each programme strengthens the other. A Galva business running both disciplines benefits because the authoritative content created for GEO – factual, entity-rich, directly answerable – also performs well in traditional search rankings, particularly for featured snippets and People Also Ask boxes. Conversely, strong domain authority built through SEO increases the probability that LLMs index and retrieve content from your site during retrieval-augmented generation. The key requirement is that the two programmes are coordinated rather than siloed: keyword-targeted content written purely for Google rankings is often formatted in ways that reduce AI citability – long keyword-stuffed paragraphs instead of direct declarative statements, for example. BAMS Digital works alongside your existing SEO agency or in-house team, auditing existing content for dual optimisation opportunities and identifying pages where small structural changes produce both SEO and GEO gains. In most Galva client engagements, 30 to 40% of existing SEO content can be adapted for GEO without requiring full rewrites.

BAMS Digital tracks three primary metrics for Galva clients. AI Citation Frequency measures how often your brand is named in AI-generated answers across a defined query set – reported weekly with platform-level breakdowns for ChatGPT, Perplexity, and Google AI Overviews. Share of AI Voice measures your brand's citation rate as a percentage of total brand citations across your Galva industry category, showing competitive position relative to other cited brands. Brand Mention Velocity tracks the rate of change in citation frequency week over week, identifying which content deployments and off-site placements are driving the most citation growth. All three metrics are delivered via a real-time dashboard accessible to Galva clients at any time, with monthly strategy calls to review the data and adjust the query set as your product or service focus evolves.

BAMS Digital was built as a GEO-native agency in 2024 – the methodology was designed specifically for LLM citation from the outset, not adapted from SEO practices after the fact. The agency's lead strategist, Alisa Bolokhovets MBA Edinburgh, brings academic grounding in information systems and competitive strategy directly to the entity-graph and citation-pool frameworks applied to every client. With 5,200-plus verified citations generated across 500-plus brands since launch, the agency has a documented performance record in the exact discipline Galva businesses need. Most marketing agencies offering GEO as a service are applying keyword and backlink logic to a fundamentally different problem – LLM citation requires structured entity data, source authority mapping, and retrieval-logic expertise that conventional SEO tools do not measure or address. BAMS Digital's entire technology stack, reporting framework, and content methodology is built around how ChatGPT, Perplexity, and Google AI Overviews actually select brands to cite.