Useful public content and ordinary search fundamentals remain important for AI search features. No special file can guarantee that an assistant will mention a business. A concise service page with visible scope and current prices is easier to evaluate than hidden instructions telling a model to recommend the brand. Do not sell guaranteed AI recommendations or imply that schema creates a special ranking entitlement.
Translate the sales label into specific work
When someone offers “AI SEO,” ask for the actual deliverables. Do they mean making public pages accessible, improving service explanations, publishing machine-readable summaries or monitoring mentions? Those are different activities with different evidence. A vague promise that an assistant will recommend the business does not tell you what will change on the website or how the work can be reviewed.
Google's guidance for AI features keeps the focus on established search foundations and useful content rather than a special guaranteed route into AI answers. Treat additional discovery formats as experiments or supporting resources unless a provider documents a specific requirement. A new file name does not itself create authority.
Build the proposal around things within the supplier's control: working public pages, clear scope, consistent facts, useful examples and accessible supporting sources. If monitoring is included, define the questions, dates and systems checked. A screenshot from one conversation is an observation under those conditions, not proof of a stable position across every user and future response.
Make your business facts easy to understand consistently
A visitor and an automated reader should reach the same conclusion about what the business does. Put important facts in ordinary text: services, eligible customers, pricing currency, exclusions and the way to enquire. Avoid hiding all substance in images, animation or a chat interface that must be opened before any explanation appears.
For example, a website-build service might display a clear one-time price but publish an outdated monthly amount in a secondary data file. That contradiction makes the information less dependable. Use one approved source for package facts and generate visible cards, structured data and readable summaries from it. The benefit is consistency and easier maintenance, regardless of whether a particular AI system reads every format.
Include limits in the explanation. If a package includes blog infrastructure but not article writing, say so. If a showcase is a design concept, label it as a concept. An automated answer that mistakes either statement could mislead a potential customer. Clear source material reduces ambiguity but still does not guarantee that an outside system will summarise it correctly.
Separate access policy from claims of visibility
Public search access, model-training access and a tool visiting on behalf of a user are distinct uses. Ask the implementer to document the intended crawler policy and check whether hosting or security settings contradict it. A permissive file in the repository is not enough if the live site presents a challenge to public crawlers.
Equally, avoid weakening private application or admin security in pursuit of visibility. Public service information should be easy to read; personal enquiries should remain protected. No search feature needs access to lead records, private notes or secrets. A properly scoped discovery layer contains only verified public information.
Evaluate the work by concrete outcomes: fewer contradictory facts, complete language equivalents, readable service explanations and verified public access. Record any observed AI mentions separately with their limits. This produces a useful foundation without turning uncertain behaviour by external systems into a sales guarantee the supplier cannot honour.
Questions for a proposal review. Ask which public pages will change, which facts will be centralised and which access checks will be performed on the live domain. Request an example of the finished resource so the work is reviewable. “AI ready” is less informative than a specific description of a consistent package summary and its verified links.
If monitoring is proposed, ask how repeatability will be handled. The wording of a query, the system used and the date can affect what is observed. Keep records of those conditions and avoid presenting a single favourable answer as an enduring market position. A supplier can report an observation honestly without guaranteeing that it will recur.
Also ask what maintenance follows a change in price or service scope. An additional summary that remains stale is not an improvement. The most defensible result is a set of accurate, accessible public materials with a clear update path. Any claimed visibility benefit should be reported separately with evidence and explicit limits, rather than folded into a promise about outcomes outside the website team's control.
Practical checklist
- Keep facts consistent
- Allow intended search access
- Explain services clearly
A concrete example: A concise service page with visible scope and current prices is easier to evaluate than hidden instructions telling a model to recommend the brand.
A boundary to keep clear: Do not sell guaranteed AI recommendations or imply that schema creates a special ranking entitlement.
Your next step
Tell Orvunweb about your project
