Generative Engine Optimisation Agency in Portland

Week 1–2

GEO Audit & Baseline

Full AI visibility scan across 5 LLM platforms using 200+ Portland-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 Portland 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 Portland 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 presence so that AI platforms – specifically Large Language Models like those powering ChatGPT, Perplexity, and Google AI Overviews – select and cite your business when generating answers to buyer queries. LLMs do not rank websites; they construct answers by drawing from sources they have determined to be authoritative, well-corroborated, and semantically clear. The decision about which brand to cite happens at the point of answer generation, and it is based on factors like entity recognition, consistency of factual data across the web, quality of structured content, and the volume of credible third-party mentions. For a Portland B2B company, this matters because buyers in sectors from clean technology to professional services are already using ChatGPT as a discovery tool. When a procurement manager at a Portland logistics company asks Perplexity which local freight software vendors specialize in Pacific Rim trade compliance, the brands cited in that answer receive the qualified inquiry. Brands absent from the citation pool are never considered, and that exclusion does not appear anywhere in your marketing analytics. GEO closes that gap by engineering the specific signals LLMs use to make citation decisions.

The timeline for first measurable AI citation appearances is typically six weeks from the start of the programme. Here is exactly what happens across those six weeks. In weeks one and two, we complete your baseline audit – running 200-plus queries relevant to your Portland market category across ChatGPT, Perplexity, and Google AI Overviews, analyzing your entity data gaps, auditing existing content against LLM citation criteria, and benchmarking the competitors currently being cited in your place. In weeks three and four, we execute the core strategy: producing structured authority content calibrated to the specific query patterns your buyers are using, correcting entity data inconsistencies across structured data sources, and initiating placements on authoritative third-party platforms that LLMs treat as corroborating evidence. By weeks five and six, the combination of new content assets, corrected entity signals, and external corroboration typically produces first citation appearances across at least one of the primary AI platforms. Citation frequency then increases steadily through the remainder of the 90-day programme as the signals compound and the entity graph strengthens.

SEO and GEO are built on fundamentally different signal systems, and success in one does not produce success in the other. SEO works by earning ranking positions in Google's index through keyword relevance, backlink authority, page experience signals, and technical site health. When a user searches Google, the algorithm returns a ranked list of URLs. GEO works by ensuring that when an LLM constructs a natural-language answer to a buyer's question, your brand is the one it selects to cite. LLMs do not consult Google rankings when generating responses – they draw from their training data and, in the case of retrieval-augmented systems like Perplexity, from real-time web retrieval weighted by entity clarity and source authority. A concrete Portland example: a technology consulting firm in the Pearl District could hold the top Google position for "IT consulting Portland" and still be completely absent when a buyer asks ChatGPT the same question in conversational form, because the ranking signals that got them to position one – backlinks, keyword density, page speed – are largely irrelevant to LLM citation logic. GEO requires entity graph construction, structured factual content, and off-site corroboration – none of which SEO campaigns are typically designed to produce.

We optimise for the five AI platforms that currently drive measurable B2B buying behavior. ChatGPT, operated by OpenAI, is the highest-volume platform and the one most commonly used by B2B buyers for vendor shortlisting – we optimise for both its standard responses and its browsing-enabled mode. Perplexity uses real-time web retrieval combined with LLM synthesis, meaning it actively pulls from current web sources when constructing answers; our off-site citation placement strategy is specifically designed to appear in Perplexity's source pool. Google AI Overviews appear at the top of Google search results for a growing proportion of B2B queries and draw from Google's Knowledge Graph and indexed content – entity optimization is particularly important here. Google Gemini operates across Google Workspace and Search and applies similar entity-based citation logic. Microsoft Copilot is increasingly relevant for Portland companies whose enterprise clients operate on Microsoft 365 environments, as Copilot generates AI answers within those workflows using Bing's index and retrieval systems. Each platform has distinct citation logic, and our programme addresses all five simultaneously rather than treating them as a single channel.

The free GEO Audit is a structured, five-part analysis of your brand's current AI visibility delivered within 48 hours of your request. The first deliverable is a baseline citation scan: we run 200-plus queries relevant to your specific Portland industry category across ChatGPT, Perplexity, and Google AI Overviews and document exactly where your brand is cited, where it is absent, and which competitors are named instead. The second is an entity gap report: we analyze your brand's entity data across structured sources and identify inconsistencies, missing associations, or ambiguities that prevent LLMs from confidently citing your company. The third is a content audit: we assess your existing website and published content against the specific criteria LLMs use to evaluate citation worthiness – factual density, structural clarity, topical authority signals, and query alignment. The fourth is a competitive benchmark: we show you which Portland-area or category-relevant brands are currently occupying the citation positions you are missing, and what specific signals are driving their inclusion. The fifth is a prioritized action plan with concrete, sequenced recommendations you can begin acting on immediately, regardless of whether you engage BAMS Digital for the full programme. The entire audit is delivered at no cost and with no obligation.

Portland's semiconductor ecosystem – anchored by Intel's approximately 20,000-employee Hillsboro campus and supported by a network of precision fabrication, specialty chemicals, and advanced packaging suppliers across Washington County – is one of the most active B2B procurement environments in the Pacific Northwest. Procurement teams at semiconductor manufacturers are beginning to integrate AI tools into their supplier identification process, particularly for specialized categories where finding qualified local vendors quickly matters for production timelines. When a supply chain engineer asks ChatGPT or Perplexity to identify cleanroom-certified component suppliers near Portland, or asks Google AI Overviews to compare Oregon-based precision machining vendors for semiconductor applications, the AI constructs its answer from whatever entity and content data it can verify. Most suppliers in this ecosystem have never considered GEO – their web presence is optimised for traditional search, not LLM citation logic. That creates a significant first-mover opportunity for any supplier willing to build structured entity data around their specific technical certifications, capabilities, and geographic proximity to major fabs. BAMS Digital has direct experience building citation authority in industrial B2B categories and can map the exact query patterns procurement teams in this ecosystem are using on AI platforms today.

BAMS Digital offers three programme tiers for Portland B2B clients. The Starter programme at $1,490 per month is designed for companies entering GEO for the first time – it includes the full baseline audit, entity gap correction, two structured authority content assets per month, and monthly citation tracking across ChatGPT and Perplexity on a query bank of 50 prompts. The Growth programme at $2,990 per month is the most commonly selected tier for Portland mid-market companies – it includes four content assets per month, full entity graph construction, active off-site citation placement on 10-plus authoritative platforms per month, and weekly citation monitoring across all five major AI platforms on a 150-prompt query bank. The Authority programme at $5,990 per month is designed for companies competing in high-value B2B categories or across multiple product lines – it includes eight content assets per month, accelerated off-site placement on 25-plus platforms, dedicated entity management, and a 200-plus prompt weekly monitoring report with Share of AI Voice tracking against up to five named competitors. All tiers include the free 48-hour audit before any commitment is required, and there are no long-term contracts beyond a 90-day initial programme period.

GEO and SEO operate on different signal systems but share some foundational inputs, meaning they can run simultaneously without conflict and often produce mutually reinforcing results. A Portland B2B company maintaining an active SEO programme is already producing content and earning external links – both of which contribute to the broader web presence that LLMs can draw from. GEO builds on that foundation by adding the specific structural and entity-level signals that SEO alone does not address. For example, an SEO-optimized blog post can be restructured with GEO-specific content architecture to make it more likely to be cited by ChatGPT, without changing the on-page SEO signals that are already earning Google traffic. Off-site GEO placements – structured mentions on authoritative third-party platforms – can also generate referral traffic and brand signals that support SEO domain authority. We coordinate directly with your existing SEO agency or in-house team to ensure the two programmes are not duplicating effort or creating conflicting content signals. The practical result for most Portland clients is that GEO adds a second, independent pipeline channel that grows alongside existing organic search performance rather than replacing it.

We track three primary metrics that together give a complete picture of your AI visibility growth. AI Citation Frequency measures how often your brand appears in AI-generated answers across our 200-plus query bank, tracked weekly across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot – reported as a raw citation count and as a percentage of total queries where your brand category was addressed. Share of AI Voice measures the proportion of relevant AI answers in your Portland market category where your brand is named versus competitors, giving you a competitive context for your citation frequency. Brand Mention Velocity tracks the rate at which new corroborating mentions of your brand appear across third-party sources that LLMs treat as authoritative, indicating whether your citation authority is building at the expected pace. These three metrics are reported monthly in a structured dashboard, and each report includes the specific queries where citation gains or gaps occurred so you can see exactly which buyer questions are and are not producing your brand's name in AI answers.

The most significant difference is that BAMS Digital was built in 2024 specifically as a GEO agency – our entire methodology, tooling, and team structure was designed around LLM citation logic from the start. Other agencies serving Portland have added GEO as a service line to existing SEO or content marketing practices, which means their frameworks, KPIs, and content processes are fundamentally oriented toward ranking signals rather than citation signals. Our founder Alisa Bolokhovets holds an MBA from the University of Edinburgh and has spent the entirety of the agency's existence developing and refining a citation architecture methodology that has now produced more than 5,200 verified AI citations across 500-plus brands. For Portland clients specifically, we maintain an active query bank mapped to the city's dominant B2B industries – semiconductor supply chain, clean technology, logistics, and professional services – so your programme benefits from existing research into how AI platforms are currently answering buyer questions in your market, rather than starting from a blank slate.