Calculadora de costos de SEO programático

We model discovery, templates, data preparation, writing and human review using your chosen planning rate. Monthly checks, operating allowances and contingency appear separately, helping you compare setup with ongoing costs. The first-year view combines those parts; it remains an estimate based on assumptions, rather than a quote for completed work.

We ask for planned pages, unique templates, data readiness and the writing and review minutes needed for each page. You also enter a planning hourly rate, operating allowance, contingency and optional first-year budget. These inputs describe the proposed work; the calculator does not inspect your dataset to verify them.

Spreading shared discovery, template and data work across more pages can reduce the average setup cost in our model. Writing and review still increase with page volume. Compare the total commitment as well as the average: a lower per-page figure does not show that additional pages are useful or worth publishing.

Our model assigns 8, 24 or 48 preparation hours to clean data, data needing cleanup or inconsistent sources. These allowances affect the calculated labor estimate. They do not include paid datasets, licensing or custom scraping, so those needs should be identified separately before using the model to plan an actual project budget.

No. We present an illustrative planning model, using the inputs and rate you choose. A real quote needs review of the dataset, page purpose, templates, editorial requirements and implementation work. Approved rates and written terms then define the price; a calculator total does not authorize or purchase that work.

Our estimate includes a monthly allowance for data and page checks, plus operating costs. It does not promise a rewrite of every page. A real engagement should state which changes are included, how often checks occur and who supplies updated information, so the allowance can be compared with the actual workload.

Our calculator does not predict traffic, rankings or revenue. To assess potential return, compare relevant demand, the value and costs of serving customers, and evidence from a pilot. Even useful pages may not be indexed or cited by AI systems, so the calculated production budget is not a results forecast.

We would assess whether your structured data can support distinct, useful pages at a sustainable cost. The estimate helps compare production scopes, but cannot establish demand. If the proposed pages would repeat information or serve few customers, a smaller editorial project may be more sensible than commissioning a large rollout.