Generative Engine Optimisation Agency in Lansing

Week 1–2

GEO Audit & Baseline

Full AI visibility scan across 5 LLM platforms using 200+ Lansing-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 Lansing 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 Lansing 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 citation footprint so that AI-powered answer engines – specifically LLMs like those powering ChatGPT, Perplexity, and Google AI Overviews – cite your business when a buyer asks a relevant question. LLMs do not rank pages the way Google does. Instead, they construct narrative answers by drawing on entity relationships, corroborated mentions across authoritative sources, and structured data signals embedded in your content. For a Lansing business, this means that when a procurement officer at a state agency types 'best IT compliance consultants in Lansing MI' into ChatGPT, the model generates a named answer based on which brands have the strongest entity signals and citation footprint – not which brand has the most backlinks. If your Lansing business lacks those signals, you are absent from that answer regardless of your Google ranking. Given that 68% of B2B buyers now use AI tools before contacting a vendor, GEO directly determines whether your brand enters the buyer's consideration set at all.

Based on results across 500+ brands, most Lansing clients see their first measurable AI citations within six weeks of programme launch. The timeline works as follows: weeks 1 and 2 are dedicated to the audit phase, where we run 200+ targeted queries across ChatGPT, Perplexity, and Google AI Overviews to map your current citation status, identify every entity gap, and benchmark the citation footprint of your top three Lansing competitors. Weeks 3 and 4 cover on-site content architecture – restructuring existing service and about pages, adding properly formatted FAQ clusters, and implementing schema markup that allows LLMs to extract clean entity data about your business. Weeks 5 and 6 initiate the off-site citation campaign, placing your brand in authoritative Michigan business publications, industry-specific editorial contexts, and structured directory listings that AI platforms draw from. By the end of week 6, citation tracking typically returns your brand name in AI-generated answers for at least a subset of your target queries. Weeks 7 through 12 focus on expanding that citation footprint into additional query categories and measuring Share of AI Voice growth month over month.

SEO and GEO share some surface-level overlap – both benefit from well-structured content and credible external references – but they optimise for fundamentally different systems using different signals. SEO optimises for Google's PageRank algorithm, which evaluates crawlability, keyword relevance, backlink authority, and page experience metrics to determine where your page ranks in a list of results. GEO optimises for LLM citation logic, which evaluates entity clarity, corroborated brand descriptions across third-party sources, structured data relationships, and the consistency of how your brand is described across the web. A concrete Lansing example: a commercial landscaping company might rank first on Google for 'commercial landscaping Lansing MI' because it has strong backlinks and keyword-optimised pages. But if no authoritative Michigan business publication, trade directory, or editorial source has described that company in entity-rich terms that an LLM can extract, ChatGPT will not cite it when a property manager asks for landscaping vendor recommendations in Lansing. The two programmes require different content structures, different off-site strategies, and different measurement frameworks.

BAMS Digital optimises for the five AI platforms that Lansing B2B buyers actively use for vendor research. ChatGPT, operated by OpenAI, is the most widely used and constructs answers from its training data supplemented by browsing; it responds strongly to corroborated off-site entity mentions and structured content. Perplexity retrieves live web sources and synthesises them into cited answers, meaning your brand needs to appear in the specific types of pages Perplexity prefers to index, including structured service pages and authoritative editorial mentions. Google AI Overviews, embedded directly in Google Search results, draws from Google's entity knowledge graph and structured data, making schema markup and Google Business Profile completeness particularly important for Lansing local and regional queries. Google Gemini uses a similar entity graph but with additional weight on Google-owned properties and corroborated factual claims. Microsoft Copilot, integrated into Microsoft 365 tools widely used by Lansing's state government and corporate sectors, draws from Bing's index and LinkedIn data, making LinkedIn entity optimisation relevant for B2B citation in this environment. Each platform receives a tailored strategy within the same overall GEO programme.

The free GEO audit BAMS Digital delivers to Lansing businesses includes five specific deliverables, all completed and returned within 48 hours of sign-up. First, a 200-query AI citation report: we run 200 queries across ChatGPT, Perplexity, and Google AI Overviews using prompts calibrated to your specific industry vertical, service category, and Lansing geography, documenting exactly which brands the AI cites and how frequently your business appears. Second, an entity gap analysis: a detailed map of the structured data signals, content attributes, and schema elements your brand is missing compared to the competitors that are being cited. Third, a content audit: each of your key web pages is scored against LLM ingestion criteria including entity clarity, answer-extractability, and FAQ structure. Fourth, a competitor citation benchmark: a side-by-side comparison of how many and which AI queries your top three Lansing competitors currently appear in. Fifth, a prioritised 30-day action plan with specific, sequenced tasks covering content restructuring, schema implementation, and off-site citation placements your team can act on immediately, with or without engaging BAMS Digital for a full programme.

Yes, and state government procurement in Lansing represents one of the highest-value GEO opportunities in the region. Michigan's state government is Lansing's single largest employer, with agencies concentrated on the Capitol campus and along Michigan Avenue. Procurement officers and department heads at agencies like DTMB, MDHHS, and MEDC increasingly use AI tools to research vendors before issuing RFPs or initiating sole-source evaluations. When a DTMB technology officer queries ChatGPT for 'cybersecurity assessment firms with Michigan state government experience,' the AI generates a named answer. Vendors cited in that answer gain informal credibility before any formal procurement process begins. GEO for state government-focused Lansing vendors requires specific content signals: clear articulation of relevant agency experience, NASPO or MiDEAL contract references where applicable, and placement in authoritative Michigan public sector technology publications that LLMs draw from when constructing government procurement answers. BAMS Digital has experience building these specific citation signals for vendors targeting government buyers.

BAMS Digital offers three programme tiers designed to match the scale and competitive intensity of different Lansing B2B markets. The Starter programme at $1,490 per month includes the initial 200-query audit, on-site entity optimisation for up to 10 core pages, basic schema implementation, and monthly AI citation reporting across ChatGPT and Perplexity. This tier suits smaller Lansing professional services firms or single-vertical businesses entering GEO for the first time. The Growth programme at $2,990 per month adds full content architecture for up to 25 pages, an active off-site citation campaign placing your brand in 8 to 10 authoritative editorial contexts per month, competitor citation monitoring, Google AI Overviews and Gemini optimisation, and bi-weekly strategy calls. This is the most common choice for Lansing IT firms, engineering consultancies, and healthcare vendors. The Authority programme at $5,990 per month includes unlimited page optimisation, 20 or more monthly off-site citation placements, Share of AI Voice tracking across all five major platforms, custom LLM entity graph development, and a dedicated account strategist. This tier suits Lansing businesses competing nationally or in highly contested Michigan B2B categories.

GEO and SEO work well in parallel and share some infrastructure, though they require different execution priorities. A Lansing business running an existing SEO programme typically already has well-structured URLs, some level of technical site hygiene, and an understanding of keyword intent – all of which provide a useful foundation. GEO builds on top of that foundation by adding entity schema markup that SEO programmes rarely implement in full, restructuring body content to be answer-extractable rather than merely keyword-relevant, and initiating an off-site citation programme that targets editorial and authoritative contextual mentions rather than traditional link acquisition. In practice, BAMS Digital works alongside existing SEO agencies or in-house SEO teams with a clearly divided scope: the SEO programme continues to own ranking signals while GEO owns citation signals. We provide your SEO team with a content brief for any new pages they produce so that those pages are simultaneously optimised for both Google ranking and LLM citation. The combined effect is greater than either discipline alone – a page that ranks well and is cited by AI generates significantly more inbound inquiry than one that achieves only one of those outcomes.

BAMS Digital tracks three primary metrics for every Lansing client. AI Citation Frequency measures how many of your 200 tracked queries now return your brand name in AI-generated answers, reported monthly with a trend line showing week-over-week growth. Share of AI Voice measures the percentage of total AI citations in your category and geography that name your brand versus named competitors – for example, if ChatGPT cites five vendors across all Lansing managed IT queries and your brand appears in 40% of those answers, your Share of AI Voice is 40%. Brand Mention Velocity tracks the rate at which new authoritative third-party sources are describing your brand in entity-rich terms, which predicts future citation growth as LLMs retrain on updated web data. All three metrics are delivered in a monthly dashboard with plain-language commentary explaining what changed, why, and what actions the following month's programme will take to continue the growth trajectory.

The primary difference is that BAMS Digital was built as a GEO-native agency in 2024, at the point when LLM-powered answer engines became a primary B2B buyer research channel. Every other agency offering GEO services to Lansing businesses today has migrated from an SEO background and is applying adapted SEO thinking to a fundamentally different problem. Our founder Alisa Bolokhovets holds an MBA from the University of Edinburgh and built our citation architecture methodology from first principles, analysing how ChatGPT, Perplexity, and Google AI Overviews actually select and present brand information rather than inferring it from SEO proxies. With 5,200+ verified citations delivered across 500+ brands and a 212% average inbound leads increase for B2B clients, our results are documented and specific. For Lansing businesses, that means you are working with an agency whose entire focus is the problem you are trying to solve – not a secondary service line offered by a team whose primary expertise is Google rankings.