A page full of broad claims gives a buyer little to evaluate and a search system little to attribute. Wilde Digital improves the actual content of your priority pages: direct answers, named entities, real examples, explicit scope and supported facts. Technical eligibility is checked alongside the content, not sold as a secret AI ranking formula.
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This service fits a marketing lead with a real offer, useful first-hand material and existing pages that do not communicate those specifics clearly. It is not a substitute for demand or a working website. Start with the buying questions your team can answer accurately, then choose the smallest set of pages that owns them.
Marketing leads and founders with specific expertise to publish and priority pages that need clearer answers.
Not a paid-placement service, mass article program or a promise to influence a model’s training data. If crawl access, canonicals or migrations are the main problem, start with technical SEO. Storefront implementation belongs under Shopify development; AI search content does not replace a functional product page or buying path.
A page can be accessible yet say almost nothing that distinguishes its business. Missing scope, ambiguous names and unsupported claims make it difficult to judge on its own. The content task is to replace that vagueness with attributable information while keeping one clear intent per page, rather than multiplying pages for every wording variation.
A buyer asks what the engagement includes and finds several paragraphs of positioning before any deliverables appear. Put the direct answer first, then explain exclusions and dependencies. The improvement is useful even if no assistant quotes the page: a person can decide whether the offer fits without reconstructing it from scattered sections.
A case study may show a real interface without proving a revenue gain. A prototype may demonstrate code without proving client adoption. Keep those distinctions next to the example. Evidence becomes more usable when its scope is clear; adding a fictional statistic or an implied client relationship weakens the page rather than strengthening it.
A service page, pricing table and contact form can drift into conflicting names, currencies and scopes. Resolve the underlying facts before rewriting the sentences. Shared data can prevent repeated errors, but the visible output still needs review: a correctly generated contradiction remains a contradiction to the buyer.
The project delivers changes to an agreed set of priority pages: answer structure, entity clarity, evidence, meaningful internal links and structured data that matches visible content. It also records crawler-access and indexability findings. The number of pages and amount of original writing are bounded in the quote; unlimited content production is not included.
The quote identifies any separately available work. Guaranteed outcomes, link buying and advertising management are not offered.
Inventory existing intent owners, collect the evidence, and work through one page at a time. Lead with the answer and explain its conditions. Check the rendered page and its markup, then record what changed. Actual indexing, citations and commercial outcomes are separate observations that cannot be established by the content edit itself.
A scoped implementation project is $1,500–$3,000 USD, and the price depends on the priority pages, evidence readiness and platform. If you would rather start smaller, the fixed $400 site check reports whether your inquiry path and indexing work before anyone commits to page work. Ongoing monthly implementation is available after a completed project. External monitoring subscriptions, bulk content production and guaranteed placement are not part of the offer.
| Work | Published rate | What the rate covers | What moves the price |
|---|---|---|---|
| AI search optimization implementation | $1,500–$3,000 USD per scoped project Schedule agreed after the priority pages and source evidence are reviewed. | Agreed priority pages: answer structure, entity clarity, first-hand evidence and visible-content schema, with implementation and verification notes. Crawler access and indexability are covered by the technical SEO audit. | Page count, content readiness and platform constraints. Bulk content production, tool subscriptions and guaranteed citations are excluded. |
Timelines are indicative planning estimates for the scope described, not delivery commitments. Payment milestones, revision allowance, cancellation and handover terms are agreed in your written quote. Hosting, domains, licenses, stock imagery and advertising spend sit outside the project rate.
Wilde Digital’s own content system is the working example: shared service facts and prices, evidence labels on project studies, visible answers matched to FAQ markup and one owner for each service intent. It shows the content and publishing decisions you are buying. AI-citation gains are a separate measurement question, answered with data rather than assertion.
The Wilde Digital rebuild uses one catalogue for five services, their destinations and priced scopes. The home page, pricing page and inquiry choices draw on those facts. A buyer can follow a service through its details, USD price and contact choice without encountering a second currency or an unrelated legacy offer.
Project examples carry the evidence they have. Kakebo Shop is a publicly attributed Shopify implementation, live in production. Opportunity Scanner is an internal engine. The rescue example is a read-only inspection rather than a completed repair. Those distinctions keep the published material attributable and specific.
The publishing helpers generate FAQ markup from the same questions and answers shown to readers. The output audit then checks visible content against the schema. That is a concrete content-integrity measure: the machine-readable version must not advertise an answer the buyer cannot find. It is not a promise that FAQ markup earns a special result.
The website-cost guide supplies another own-site example. It explains which decisions change a quote and presents the studio’s approved rates as its own prices, not an industry average. A buyer can use its scope questions when comparing other suppliers. That gives the guide a purpose independent of an attempt to win a search impression.
What is inspectable here is the implementation. Attribution after publication needs its own evidence, and that boundary is part of the service: a useful report separates the content that changed from the outcome a supplier cannot control.
Review facts when the business, price or platform changes, not simply to display a newer date. After publication, record the search and inquiry data actually available and keep attribution limits visible. A monthly engagement should identify the next implementation priority, not manufacture a page quota or present a sampled assistant answer as reliable market share.
Search Console now has a dedicated generative AI performance report for AI Overviews and AI Mode, but it reports impressions only — not AI-only clicks, leads or revenue. Keep that limit in the report. For a broader explanation of the terms and their overlap, read the SEO, AEO and GEO guide. Use observed inquiries alongside search data, not as proof that every inquiry came from AI.
Yes. Technical SEO covers crawlability, indexing, canonical ownership and the infrastructure around them. This service changes the content and evidence on selected pages. Crawler access and indexability belong to the technical SEO audit, so neither quote includes the other's checks.
Google documents no additional technical requirements for its AI search features. Structured data should describe visible content. A machine-readable index can be useful documentation, but this service does not sell it as a placement switch or use its presence as evidence that an assistant will cite the site.
No. Search access and good content do not control which sources a system selects for a particular question. Wilde Digital commits to the agreed page changes, evidence review and verification. A citation observed in a sample is reported as that observation, not as stable coverage across all users or questions.
Not automatically. Start by checking whether an existing page already owns the intent. If it does, improve it rather than create a competing variant. A new page needs a distinct buyer purpose and enough original evidence to be useful. Producing more URLs is not the deliverable purchased here.
Record what changed and the available baseline before publication. Review search clicks, visible referral data and qualified inquiries afterward, with other business changes noted. Google’s generative AI performance report shows impressions from its AI features but no AI-only click, lead or revenue totals, so a change in Web search totals is not clean attribution to AI optimization. Where a figure was never measured, the report says which and why.
Include the domain, the buying question and the first-hand material available to support the answer. Identify the existing page, who approves its claims and whether prices can be published. That is enough to begin scoping priority-page work without commissioning another content batch or promising an AI citation.