The Services That Actually Get a Brand Recommended by ChatGPT

Service 1: the AI presence audit

This establishes where you stand today across ChatGPT, Perplexity, Gemini, Google AI Overviews and Copilot: which prompts cite you, which cite competitors, and whether your site is even crawlable by the citation bots. It's the starting point for every other service — Suggesting.ai delivers this free, in 48 hours, before any retainer conversation.

The output isn't a single visibility score — it's a prompt-by-prompt breakdown showing exactly where you're cited, where a competitor is cited instead, and where nobody is cited yet, which is often the most actionable finding of all, since an uncontested prompt is the fastest place to earn a first citation.

Service 2: GEO content and technical work

This is the core build: restructuring or creating pages that directly answer priority prompts, with comparison tables and named specifics, plus the technical side — structured data, crawler access, page speed — that determines whether that content is actually retrievable. The technical half is easy to underestimate: a beautifully written page behind a slow-loading, unstructured template can still fail to be cited, because retrieval systems favor pages they can parse quickly and cleanly. For an industrial manufacturer, this means spec-sheet-level pages (“which supplier offers ISO-certified stainless fittings with 48-hour lead times in [region]”) rather than generic capability statements. The same technical rigor should extend to schema markup for products and organizations, since structured data gives retrieval systems an unambiguous, machine-readable version of the same facts stated in the prose.

Service 3: digital PR and citation building

AI models weight sources that are corroborated elsewhere — a trade publication mention, an industry directory listing, a partner's case study referencing you. This service builds that external fact base deliberately rather than hoping it accumulates organically. It's slower than content work but compounds: once a claim is corroborated in three or four places, it becomes far more durable in AI answers.

This is also the service most commonly skipped by companies trying to do GEO in-house, since it requires relationship-building with publications and partners rather than just internal content production — and it is often the exact gap that separates a brand stuck at occasional citation from one that holds it consistently.

• Trade press and industry directory placements
• Partner and supplier cross-references
• Third-party comparison and review site presence

Service 4: paid placement management

ChatGPT Ads launched as a US self-serve pilot in February 2026 and opened OpenAI Ads Manager broadly in May 2026, running CPM, CPC and oCPC bidding on a relevance-weighted second-price auction with no minimum spend, matched to conversation topic and labelled "Sponsored." Perplexity, Gemini and Copilot don't have open self-serve ad platforms yet, but that's expected to change — this service expands as each platform opens.

Because there's no minimum spend, this service is accessible to smaller B2B budgets in a way traditional programmatic advertising rarely is — a supplier can test a modest budget against a single high-value prompt before committing to a larger campaign.

Perplexity, Gemini and Copilot lacking open self-serve ad platforms today doesn't mean paid strategy is on hold for those channels — it means the organic GEO work carries more of the weight there for now, until those platforms follow ChatGPT's lead and open comparable ad products.

The industrial B2B example

An industrial parts supplier competing for procurement-stage prompts like "which supplier can deliver certified valves to a refinery project in [region] within [timeframe]" needs all four services working together: an audit to find the gap, GEO content stating specs and lead times directly, PR placements corroborating certifications, and eventually paid placement on the highest-value contested prompts. Procurement teams researching suppliers for large capital projects increasingly start this research with an AI-assisted shortlist rather than a directory search, which raises the stakes on being the specific, verifiable answer rather than a vague capability statement. Skipping the PR layer specifically is common and costly — procurement buyers and the AI models serving them both weight third-party corroboration heavily in high-stakes B2B purchases.

How Suggesting.ai packages these services

It is worth being explicit that not every brand needs all four services at once — a company with strong existing PR relationships may only need the audit and content services to start, while one with no press presence at all should weight the PR service more heavily from the outset. We run all four as one program rather than selling them piecemeal, starting with the free audit so the content and PR work is prioritized against real gaps instead of guesswork, and taking on ChatGPT Ads management (plus other LLM ad platforms as they launch) so paid spend reinforces the same priority prompts the content strategy is targeting.

We also sequence the work so paid spend never launches before the audit has identified which prompts are worth bidding on — an important discipline, since it is easy to waste ad budget on prompts where organic citation was always achievable for free. For industrial and other technical B2B categories specifically, we also make sure the content and PR teams are working from the same spec sheet — a certification claim stated on the site needs to match what a trade publication or partner page says about it, since any inconsistency between owned and earned sources tends to undermine confidence in the claim for both buyers and AI models alike.