Generative Engine Optimization Service: From Audit Findings to Shipped Fixes
If you haven’t run your free AI visibility audit yet, start there — this page explains how we fix what that audit finds, not the audit itself.
A generative engine optimization service is the paid, hands-on work that turns an AI-visibility audit’s findings into actual fixes on your site: schema markup, entity consistency, and citation-worthy content structure implemented directly in your CMS, not handed over as a checklist. ChatGPT, Perplexity, Gemini, and Google AI Overviews decide what to cite based on machine-readable signals — valid JSON-LD, a brand name described the same way everywhere, and passages that answer a question in the first few sentences. Most sites fail on all three, and most GEO audits stop at telling you that. This page explains the method we use to fix it. For the exact scope, price, and booking form, see the GEO Visibility Audit page.
See the full scope and book your GEO Visibility Audit
Why This Matters Now, Not Eventually
Two datasets show why this deserves measurement, but they describe different populations. G2’s March 2026 survey of 1,076 B2B software buyers found that 51% started software research with an AI chatbot more often than Google, while 69% said chatbot guidance led them to select a different vendor than first planned. Separately, Similarweb’s June 2025 ecommerce analysis observed an 11.4% sales-conversion rate for AI-referred visits versus 5.3% for organic search. Neither dataset predicts a specific company’s results; together they justify checking whether AI systems can find and represent the company accurately.
None of these numbers are precise enough to build a forecast on, and they shouldn’t be read as one. What they agree on is directional: if an AI system doesn’t cite you when a buyer asks it the question your category answers, you’re increasingly not on the list it hands them — not “ranked lower,” not on it.
How We Fix What the Audit Found
We don’t run a generic GEO checklist against your site. We run the same four-step method — WIRO — on every AI-visibility problem, because the fastest way to fix the wrong thing is to skip straight to a fix before you know the real cause. It’s the same method that gets one brief mention on the audit page itself; this is the actual explanation.
Witness. We start from what your actual audit found, not a generic best-practices list. If your free AI visibility score flagged low entity consistency, thin schema coverage, or missing structured answers, that’s the real starting point — not advice pulled from someone else’s site.
Investigate. A low entity-consistency score isn’t fixed by publishing more content. It’s fixed by finding out why an AI system describes your brand inconsistently in the first place — usually because your Organization schema, your page titles, and your About page each name the company differently. We trace the finding to its actual cause on your specific site before we touch anything.
Rebuild. Every schema fix, content restructure, and crawler-access change is built from what your audit actually found and implemented directly in your CMS — not a templated fix-list we run the same way on every client.
Own. A deployed fix isn’t a finished fix until it’s checked against the real, live result. After implementation, we re-check your AI visibility standing against the same benchmarks your original audit used — we don’t assume it worked because the code shipped.
What’s Actually In Scope
- AI visibility diagnosis — your current citation presence across ChatGPT, Perplexity, Gemini, and Google AI Overviews for your category, confirmed against the audit’s original findings
- Schema implementation — JSON-LD written and deployed directly in your CMS, not handed over as a spec document for someone else to build later
- Entity consistency fixes — your brand and product naming corrected everywhere it’s described inconsistently: schema, page titles, About page
- Content gaps identified and prioritized — flagged with exactly what’s missing and why it’s blocking citation. Full content production at scale isn’t part of this scope; if what your audit finds needs substantial new writing, that’s a separate conversation, not something quietly bundled in here.
- Prioritized punch-list — every finding ranked by impact, delivered as a report you keep regardless of what gets implemented
- Direct implementation, not a to-do list — given CMS access, we make the changes ourselves
For the exact deliverable breakdown and current booking form, see what the GEO Visibility Audit includes.
Fixed-Scope Service vs. a Typical GEO Retainer
| Pipe Flooders’ Approach | Typical GEO Agency Retainer | |
|---|---|---|
| Price model | Fixed, one project (current price on the audit page →) | $1,500-$10,000+/month, recurring (Inference — aggregated market pricing research, not independently audited) |
| Timeline | 2-3 weeks, kickoff to delivered fixes | Open-ended; most retainers assume an ongoing multi-month program |
| Price shown before you talk to anyone | Yes | Varies by provider; many use quote-based pricing |
| Ongoing commitment | None — audit and fix, then you’re done | Varies by provider and scope |
| Best fit | A team with specific findings that need fixing once | A team that wants continuous monitoring as a standing program |
Why Fixed-Scope, Not a Retainer
We don’t have client case studies to point to yet — that’s true, and pretending otherwise would be the wrong way to earn a first project. A fixed price for a fixed scope is the more honest ask from a new agency than a monthly retainer that assumes ongoing trust we haven’t built. Once fixed, we’ve fixed it; there’s no reason to keep billing you to “monitor” a schema fix.
The 2-3 week timeline isn’t arbitrary — it maps directly onto WIRO. Week 1 is Witness and Investigate: confirming your audit’s findings and tracing each one to its root cause. Week 2 is Rebuild: schema, entity, and content-gap fixes implemented directly in your CMS. The final days are Own: a live re-check against the same benchmarks the original audit used, and a delivered final report. For the current exact price, timeline, and booking form, that lives on the GEO Visibility Audit page — this section is the reasoning behind those numbers, not a substitute for them.
Is This the Right Fit
This is built for a B2B company that already ran the free audit, already has real findings, and wants those findings actually fixed — not a monthly AI-visibility retainer, and not a generic SEO agency bolting “GEO” onto an existing service list. If you haven’t run the audit yet, run it free first.
Frequently Asked Questions
What is a generative engine optimization service, exactly?
A generative engine optimization service is the paid, hands-on work of diagnosing and fixing why an AI system doesn’t cite your site — schema markup, entity consistency, and content structure implemented directly, not just identified in a report. It’s distinct from an audit alone: an audit tells you what’s wrong, the service is the actual implementation.
What’s the difference between “generative engine optimization” and a “generative engine optimization service”?
Generative engine optimization is the discipline: structuring content and technical signals so AI systems can find, understand, and cite you. A generative engine optimization service is someone doing that work on your specific site, for a fee, rather than you researching and implementing it yourself. The discipline is the same either way; the service is the labor.
How does WIRO differ from a generic “audit, then fix” process?
A generic process fixes symptoms: it sees thin content and adds more content. WIRO’s second step, Investigate, requires finding the actual root cause before any fix happens — a low entity-consistency score usually isn’t a content problem, it’s a naming-inconsistency problem across schema, page titles, and an About page. Skipping straight to a fix without that step is how agencies spend budget improving the wrong thing.
What is entity consistency, and why does it affect AI citations?
Entity consistency is whether an AI system can tell, unambiguously, who you are and what you do from your site’s structured data and copy. ChatGPT, Perplexity, Gemini, and Google AI Overviews build an internal profile of a brand from Organization schema, page titles, and on-page mentions; if your company name, category, or description varies across those sources, the model can’t confidently cite you as a single, clear entity. It’s one of the most common blockers our free audit finds, and it’s a root-cause fix, not a content problem.
Why doesn’t fixing AI visibility look like traditional SEO work?
Traditional SEO optimizes for a ranking algorithm; generative engine optimization optimizes for a model deciding what to quote. The mechanics overlap — schema, page structure, and crawlability all still matter — but the target is different: a citable, self-contained answer an AI system can lift directly, not a page built to rank for a query. That’s why an SEO checklist applied to AI visibility usually treats the symptom instead of the actual cause.
Why does Pipe Flooders use a fixed-scope model instead of a monthly retainer?
Because we don’t have case studies to point to yet, and asking for an open-ended monthly commitment before earning that trust is the wrong ask from a new agency. A fixed price for a fixed scope means you know exactly what you’re paying for and exactly when it ends — no renegotiated scope three months in, no ongoing bill for a fix that’s already shipped.
What if we can’t give you CMS access?
Schema and entity fixes have to be implemented directly in your CMS to actually work — a spec document someone else implements later is where most GEO recommendations go to die. If your CMS access is genuinely restricted (agency-managed site, IT approval process, etc.), say so before kickoff — it doesn’t rule the project out, but it does affect what we can deliver inside the 2-3 week window, and we’ll tell you that honestly rather than promise a timeline we can’t hit without it.
How do you know the fixes actually worked?
We don’t assume a deployed fix worked because the code shipped. The Own step re-checks your AI visibility standing against the same benchmarks your original audit used — the same queries, the same platforms (ChatGPT, Perplexity, Gemini, Google AI Overviews) — and that re-check is part of the delivered report, not a separate add-on.
How much does a generative engine optimization service cost?
Pipe Flooders’ GEO Visibility Audit and fix implementation is a fixed price, one scope, delivered once — not an open-ended monthly retainer, which is what most GEO agencies sell instead. For the current exact price and to book, see the GEO Visibility Audit page.