What does a generative engine optimization agency actually do?
A generative engine optimization agency helps a business investigate how its information appears in generated answers and implement changes that can be checked. Useful work includes reviewing crawl access, clarifying product and company facts, improving important pages, finding relevant independent evidence and monitoring a defined question set. These activities overlap with technical SEO and content operations. The difference is that the reporting also observes answers, mentions and links rather than only search positions. Neither an agency nor software controls what an external model chooses to say.
Google's guidance on AI features in Search, reviewed on October 14, 2026, says that existing SEO practices remain relevant and no special optimization is required for AI Overviews or AI Mode. This guidance applies to Google's Search features, not every conversational product. It is a useful procurement safeguard: an agency should explain the practical value of each proposed change rather than sell an unexplained secret protocol. A normal website does not need an MCP integration merely to become eligible for a search citation.
The GEO research paper studies ways of improving content visibility in a controlled generative-engine evaluation. Its experiments provide research context, not a guaranteed improvement for your business. This guide does not present that study as a customer case or a live-engine forecast. Similarly, adding citations or structured data cannot establish that a particular sentence caused a later recommendation. A provider should show the change, its rationale, the observation window and plausible alternative explanations.
Deep analysis: agency, SaaS and hybrid delivery
The agency-versus-software decision is mainly a decision about who does the work. Software can organize evidence and surface gaps, while a managed team can coordinate engineering, subject-matter review and publication. A small company with a capable editor and developer may benefit from self-service tooling. A regulated or multilingual business may need specialist review even when the monitoring is automated. A hybrid model can work when the contract makes ownership and responsibilities explicit rather than duplicating the same audit in two invoices.
| Decision dimension | Agency-led delivery | SaaS-led delivery | Hybrid delivery | | --- | --- | --- | --- | | Page implementation | Included only when contracted | Your team implements | Assigned by workstream | | Technical changes | Depends on engineering access | Requires an internal owner | Shared change approval | | Fact checking | Named reviewer required | Your team verifies facts | Specialist review with internal sign-off | | Evidence storage | Request export rights | Check export and retention | Agree a single source of truth | | Prompt selection | Review the agency's sample design | Build and maintain your question set | Jointly approve a fixed set | | Reporting | Demand raw answers behind totals | Inspect definitions and failures | Use the same definitions | | Cost comparison | Scope and hours, not a market average | Subscription plus internal labor | Avoid duplicate services | | Principal constraint | Vendor execution quality | Internal execution capacity | Coordination overhead |
Do not compare a fully managed service with a subscription price as if they purchased identical outcomes. Include the time spent drafting, checking, deploying and verifying changes. Ask whether engineering support, independent source outreach and localization are included or charged separately. Use the current 23SEOGEO pricing page for platform plans rather than a copied dollar amount in a blog. This article does not claim a universal agency price, a promised saving or a vendor rating unsupported by a published evaluation.
The illustration describes an editorial workflow, not a real customer result or a screenshot of platform analytics. Start with a baseline, attach evidence to the selected changes and schedule a comparable retest. These stages can be performed by an agency, an internal team or both. Their value comes from transparent execution and consistent measurements. A diagram cannot substantiate a claim about traffic, citation uplift or return on investment.
What evidence should you ask a provider to demonstrate?
Ask for a baseline using your own domain, not a showcase borrowed from another brand. The baseline should identify which pages were read, which checks failed and what could not be measured. In 23SEOGEO, GEO Authority Score, abbreviated GAS, is a proprietary readiness assessment. It is not a Generative Answer Score, an engine ranking or a probability that ChatGPT will cite the site. Any readiness diagnosis should be read alongside its evidence and detection status. A failed scan must not be presented as a reliable market-performance measurement.
For answer monitoring, ask to open a raw record containing the question, engine or model, language, date and response. A brand mention is not automatically a link to the official website. A citation to a third-party review is different from a citation to the business domain. An API response may differ from the consumer application because browsing, personalization or model settings differ. A report that hides these distinctions can exaggerate apparent coverage. Require failures and unconnected engines to be visible, not silently treated as successful answers with no mention.
A defensible comparison uses a stable question library. Separate branded questions from category and pain-point questions because a prompt containing the brand naturally makes a mention more likely. Record changes to the library rather than mixing new questions into an old percentage without explanation. Small samples should be described as exploratory, with counts and uncertainty. Even a larger sample represents the questions you selected, not every conversation in the market. This sampling limitation belongs in the monthly report and the sales proposal.
How should a SaaS startup structure a GEO brief?
Define the buying situations you want to help with before purchasing content production. A software business might need clearer explanations of integration requirements, deployment choices, security boundaries or product limitations. Ask product experts to supply verifiable details and distinguish current capabilities from roadmap items. Put the direct answer near the beginning of a page, then support it with fuller analysis and comparison. Sources must support the actual claim being made; two unrelated prestigious links do not validate a product assertion.
Structured data should describe what readers can already see. W3C's JSON-LD recommendation defines linked-data syntax; it does not grant search visibility or establish the truth of a statement. Keep organization identity, author details, page title and article headline consistent. Use appropriate product or article properties only when the page supports them. Do not invent an expert biography, certification or customer story to fill a schema field. Technical neatness and factual credibility are separate requirements, and both need review.
A practical vendor acceptance checklist
Before work begins, write down the pages in scope, access permissions, reviewers and acceptance artifacts. A completed technical task should include a deployed URL and a repeatable check. A content task should include the published page, fact sources and reviewer sign-off. A monitoring task should include raw answers, usable counts and the reporting period. Keep an explicit state for work that is drafted but not published or published but not yet verified. Marking a task complete in a work tracker is not evidence that a search engine has adopted it.
Agree how the partnership ends as well as how it starts. The client should retain content, baseline exports and the ability to continue testing with another provider. Ask about account access, source records and deletion responsibilities before sharing business information. Avoid granting write access just to receive an audit. Google's advice on hiring an SEO, reviewed on October 14, 2026, warns against guaranteed rankings and unclear methods. The same transparency principle is useful when evaluating GEO services, without suggesting Google endorses any GEO vendor.
How to connect this guide to your next action
Use the GEO agency selection topic for the six-check procurement route. Begin with GEO Authority Score to investigate readiness, then build a prompt library and use AI citation tracking for observed answers. If a vendor proposes a monthly service, compare its outputs with the SEO retainer deliverables topic. These tools organize work and evidence; running them is not a promise of a recommendation, a ranking or a lead.
Frequently asked questions
Can a GEO agency guarantee that ChatGPT will recommend us?
No provider controls all model responses, refresh cycles or user contexts. Request commitments to specific implementation and reporting tasks instead of guaranteed recommendations. A successful test is evidence for that sampled answer, not an assurance for all future users.
Can software replace every part of a GEO service?
Software can support repeatable diagnostics and monitoring, but someone still owns fact checking, publishing and resolving technical problems. Whether an internal team or an agency should do that depends on its skills, time and the risk of the content.
Should GAS be the main commercial outcome?
No. GAS measures readiness under the platform's rules. Keep actual mentions, linked citations, attributable sessions and qualified leads separate, and use business outcomes with their own evidence when judging commercial value.
Editorial scope and sources
Prepared by the 23SEOGEO team. Source guidance was reviewed on October 14, 2026. The comparison is a practical decision framework, not a ranked vendor test. No unpublished customer results, agency averages or guaranteed savings are used. The linked Google guidance supports SEO eligibility and procurement transparency, arXiv supplies research context, and W3C supplies the linked-data syntax standard.
