- Clarify facts
- Improve accessibility
- Observe answers
What is worth improving?
Resolve contradictory business information, explain services clearly and support important claims. Write useful content with a distinct purpose rather than producing repetitive pages designed only to attract automated systems.
What does the evidence allow you to claim?
Google's guidance for AI search features emphasizes foundational search practices and does not require a special AI text file. Other systems behave differently. Dappr can improve maintained source material and document observations, but a citation or mention can vary and should not be promised as an outcome.
Define the work behind the label
Generative engine optimization, often shortened to GEO, is a label used for efforts to improve how information is discovered and represented in generated answers. The label is broad. A proposal should explain the actual work instead of assuming the term describes a standardized service with predictable results.
Ask whether the engagement covers content accuracy, technical access, business identity, source development or observation. Those are concrete activities with different deliverables. A package that promises “AI visibility” without defining its scope is difficult to evaluate or verify.
Start with the business question. A company may need its service information corrected, its website made easier to understand or a method for observing relevant referrals. Naming that need prevents the project from becoming a collection of fashionable tactics with no clear reader benefit.
Distinguish the systems being discussed
Different products discover and present information in different ways. Guidance for Google’s generative Search features should not be treated as documentation for ChatGPT or every other assistant. Identify the product and feature involved in any technical claim.
Google’s own AI optimization guidance describes foundational search practices and does not require a special AI text file for its features. That is a product-specific statement, not a universal conclusion about all systems. Use the relevant primary documentation when reviewing another provider.
Keep the source and date attached to implementation decisions. If a proposal relies on a new control or reporting feature, confirm that it exists for the intended use. Do not let a demonstration in one account become an unsupported claim about every business’s eligibility.
Improve the information the business owns
Review the company’s public identity, service descriptions and contact routes. Resolve contradictions between pages and remove claims the business cannot substantiate. A generated answer may be difficult to influence directly, but the business can make its own material more accurate and understandable.
Explain the offer with enough detail for a person to evaluate fit. Include the problem addressed, relevant conditions and a realistic next step. Avoid relying on broad promotional language that leaves the service unclear even when the business name is recognized.
Use approved evidence where available and label hypothetical scenarios. A planning example can teach a useful decision without pretending to be a completed client project. Do not fabricate results or credentials to make the content appear more authoritative.
Review access without exposing private material
Identify which pages are intended for public discovery and which are drafts or restricted resources. Technical access work should respect that boundary. A desire to be cited does not justify making internal documents or customer records public.
Have the technical owner review the relevant crawler and hosting behavior against the provider’s current documentation. Record the observed response and any uncertainty. A configuration change can establish an intended access policy, but it cannot compel a generated answer to select the page.
Keep search discovery and other data-use choices distinct when the provider offers separate controls. The business should understand which purpose a setting affects. Avoid a broad instruction to allow every automated client when the actual goal concerns one specific search feature.
Develop useful source material rather than repeated mentions
Choose questions the business can answer with relevant knowledge. Preparation guides, transparent comparisons and explanations of service constraints can help readers make decisions. Their value should not depend on whether an assistant happens to quote them.
Give each page a distinct purpose and maintain the source behind important facts. Repeating the company name across many nearly identical pages does not establish a stronger answer. It can also make the site harder for people to navigate and for editors to keep accurate.
Review the content with a subject-matter expert where the claims require one. The editor should be able to explain which statements are confirmed, which are recommendations and which are examples. Clear distinctions make the material more reliable for anyone who summarizes it.
Measure observations at the right level
A mention, a citation, a referral visit and a qualified inquiry are separate observations. Define which ones the project tracks and how. A screenshot showing the business name is not equivalent to a customer reaching the website or choosing the service.
For an observation exercise, retain the question, date and relevant context. Do not use private customer information in test prompts. A small set of questions can help identify inaccuracies, but it should not be presented as a complete measure of the market.
Review available analytics and business records with their limitations. Some interactions may not produce a visit, and attribution may be incomplete. A responsible report separates the information actually observed from assumptions about influence or revenue.
Evaluate a GEO proposal through deliverables
Ask for the pages or systems to be reviewed, the evidence the team will use and the acceptance criteria for completed work. Content corrections, a documented access review and a repeatable observation method are reviewable deliverables. Guaranteed recommendations by an external system are not under an agency’s control.
Clarify what happens when a source is unavailable or an account feature cannot be verified. The team should record the limitation and avoid certifying an unsupported claim. A large report is less useful than a smaller set of decisions whose evidence is clear.
Dappr can scope source-content, website and measurement improvements as part of a broader search strategy. The work should be grounded in the business’s actual offer and maintained information. It should not be sold as a way to purchase a preferred answer from an AI system.
Use a small first project to clarify the value
Select one important customer question and the page intended to answer it. Review the answer’s accuracy, supporting evidence and public accessibility. Make the confirmed improvements, then observe relevant outcomes without claiming that selection is guaranteed.
This approach produces useful website work even when generated-answer visibility remains uncertain. It also helps the business judge whether a larger program has a concrete purpose. Expansion should follow evidence and maintainable content needs, not a promise that more text will force more mentions.
A question to ask before buying a package
Ask the provider to show how one proposed task would improve a real page and how completion would be demonstrated. Then ask what outcome it cannot control. The answers should distinguish an editable asset from an external system’s response. If the explanation depends entirely on an unexplained score, request the underlying observations and their limits before treating that score as evidence of business value.
Check Google’s separate Search generative AI control
Google documents a Search Console control for inclusion in its Search generative AI features, with inclusion the default and inheritance possible for child properties. Review the effective property setting as part of an authorized access assessment. This is separate from inventing a special content file or schema requirement.
The control does not determine ranking or inclusion in other parts of Search and does not control AI training. Keep those choices separate. A default setting is not evidence that a particular account has been checked, and inclusion eligibility does not guarantee that a page will be selected.