AI VISIBILITY ENGINEERING

US enterprise buyers are using ChatGPT to build their vendor shortlists — and if your brand isn't cited, it isn't on the list

ChatGPT is the dominant AI research tool for US B2B and enterprise buyers. They use it to identify vendors, compare platforms, and decide who makes the consideration set — before they run a Google search, before they visit your website, and before they respond to any outreach. The brands that appear in ChatGPT's answers are the ones that get evaluated. The brands that don't appear are screened out before the sales process begins. Getting cited by ChatGPT is a structural engineering problem: it requires Bing SEO, entity building across the sources OpenAI's training data and browsing mode draw from, and content built for the specific formats ChatGPT retrieves when answering the questions your enterprise buyers are asking. This service engineers all three.

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This is for you if

The B2B SaaS company whose buyers shortlist without them

The technology or platform vendor competing against AI-visible rivals

The professional services or consulting firm screening out of AI-driven discovery

The growth or demand generation leader who needs the data

What's broken

Strong Google presence, near-zero ChatGPT presence

Most US B2B companies have invested significantly in Google SEO. ChatGPT does not use Google. When ChatGPT's browsing mode is active, it retrieves results from Bing — a channel most US SaaS marketing teams have given almost no attention. Pages that rank on Google's first page and aren't indexed or ranked in Bing contribute nothing to ChatGPT citation. For many US companies, the entire explanation for their ChatGPT invisibility is this single gap — years of investment in the wrong search engine for ChatGPT's purposes.

Entity footprint not strong enough for ChatGPT to cite you by name

ChatGPT cites brands it has structured, consistent information about across multiple authoritative sources. If your brand's entity data — in Wikipedia, in authoritative industry publications, in analyst databases, in the directories and sources OpenAI's training data draws from — is thin, inconsistent, or absent, ChatGPT will cite brands whose entity footprints are stronger. The brands dominating your category in ChatGPT aren't necessarily better known — they are better documented in the sources ChatGPT treats as authoritative.

Content written for Google's ranking algorithm, not for ChatGPT's retrieval patterns

US B2B content typically performs well for Google because it is written around target keywords and optimised for click-through. ChatGPT's retrieval patterns are categorically different: it looks for content that directly answers comparative, evaluative, and vendor-selection questions. "Best enterprise project management platforms," "X vs Y for US mid-market," "how to choose a [category] vendor" — these are the query structures ChatGPT retrieves against. Most US company websites have content that ranks well on Google and generates zero ChatGPT citations because it was never written for this retrieval pattern.

No ChatGPT citation baseline, no competitive data, no framework

The majority of US B2B marketing and growth teams have not established a ChatGPT citation rate baseline, do not have data on which competitors are being cited and why, and have no systematic way to track whether content or SEO investments are affecting their ChatGPT presence. ChatGPT is the largest AI research tool in the world by user base — and most US B2B companies are operating in it entirely without measurement.

What we engineer

What we deliver

Bing SEO Foundation

comprehensive Bing index audit for your priority pages, sitemap submission and configuration via Bing Webmaster Tools, technical crawlability fixes, and on-page optimisation for Bing's ranking signals and the US B2B query patterns ChatGPT retrieves against when your buyers run vendor research

Entity Building for OpenAI Sources

structured brand presence built across Wikipedia, authoritative US business and technology publications, analyst databases, industry directories, and the specific sources that appear most frequently as ChatGPT citation references in your category and market segment

ChatGPT-Format Content Creation

pages written in the structures ChatGPT retrieves: direct vendor comparison pages answering "X vs Y for enterprise," structured FAQ pages in ChatGPT's question-and-answer extraction format, "best [category] platforms" category pages, "how to evaluate a [category] vendor" guides, and authoritative market statistics pages that give ChatGPT data to reference and cite

OpenAI Source Strategy

identification of the publications, analyst reports, and platforms driving ChatGPT citations in your category and segment, with a targeting and placement plan to build your brand's presence across those sources systematically and verifiably

Monthly ChatGPT Citation Tracking

full 50+ query probe cadence each month across GPT-4 and GPT-4o, citation rate tracked month-on-month with a trend line, competitive citation comparison against named US and international competitors, source breakdown, and expansion to new query clusters as citation presence develops

ChatGPT Visibility Audit

the starting point: GPT-4 and GPT-4o probed with 50+ queries in your market covering category, comparison, vendor-selection, and enterprise-buyer queries; citation rate calculated; every competitor appearance documented and analysed; Bing index gaps identified; prioritised action plan delivered in week one

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Common questions

Frequently asked questions

How does ChatGPT source its answers for US B2B and enterprise queries?

ChatGPT draws from three sources when answering queries: training data built from a large-scale crawl of the web weighted heavily toward authoritative publications, Bing's search index used in real-time browsing mode, and structured entity information from sources OpenAI prioritises in its knowledge hierarchy. For US B2B queries, Bing index presence and coverage in authoritative US business and technology publications are the most actionable variables. Google rankings — regardless of how strong — have no direct bearing on ChatGPT citation rate.

Can ChatGPT's training data be updated to include my brand?

OpenAI's training data is a fixed dataset from a specific training period that cannot be edited or supplemented by third parties. There is no mechanism to request inclusion, and no timeline for when a new training cycle will occur. The actionable path is building your brand's presence in Bing's index, which ChatGPT's browsing mode retrieves from in real time, and in the authoritative sources that carry weight in OpenAI's knowledge hierarchy — producing results in current responses, not in a future training cycle.

What does Bing SEO have to do with ChatGPT?

Bing is the search engine that powers ChatGPT's real-time browsing layer — the mechanism by which ChatGPT retrieves current and specific information when answering queries. US B2B companies with strong Google presence and weak Bing presence are invisible to ChatGPT's retrieval layer for exactly the queries their buyers are asking. The pages that rank on Google but aren't indexed in Bing contribute nothing to ChatGPT citation. Bing SEO is the foundational infrastructure that makes real-time ChatGPT citation possible.

How long before a US B2B company starts appearing in ChatGPT responses?

Technical Bing SEO improvements typically take effect within 4–8 weeks of fixes and sitemap submission. Entity building on authoritative publications begins influencing ChatGPT real-time responses within 8–12 weeks. Most US clients see measurable improvement in citation rate within 60–90 days, with consistent multi-query citation — the level needed to affect pipeline — typically developing by month four to six, depending on the current Bing and entity gap.

What does this cost?

ChatGPT Visibility services for US B2B and enterprise companies start from USD $2,800/month, depending on the number of target queries, the scope of entity building required, and the volume of ChatGPT-format content to be created. The initial audit is scoped and priced separately. Contact us for a proposal based on your specific category, competitive set, and target buyer.

How is ChatGPT Visibility different from optimising for Google AI Overviews?

Google AI Overviews draws from Google's index and relies on the same authority signals that underpin Google SEO — meaning work done for Google has meaningful crossover with Google AI Overview performance. ChatGPT Visibility is categorically different: it requires Bing-specific optimisation, entity building for OpenAI's knowledge hierarchy, and content structured for ChatGPT's retrieval patterns. US B2B companies that have invested heavily in Google SEO and Google AI Overviews should not assume that investment provides any coverage for their ChatGPT citation rate — it does not.

Start here

US enterprise buyers are already using ChatGPT to decide who makes their vendor shortlist

If your brand isn't in those answers, it isn't on that shortlist. We audit your current ChatGPT citation rate across 50+ target queries, show you exactly which competitors are being cited and what's driving those citations, and build the plan to get your brand into those responses. The audit takes one week. The gap starts closing in the first month.

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