Ninety days is a useful planning window for a local search program. It is not a promise that an AI assistant will recommend a business by a certain date. The order below puts verifiable website work first and keeps search appearances and customer outcomes as separate observations.
Weeks 1–2: establish the baseline
List the important pages and their intended customer questions. Check which pages can be reached, which are submitted in the sitemap, and which Search Console reports as indexed. Review robots.txt, canonical addresses, visible text, and the site's actual contact paths. A robots.txt check tests published rules; it cannot prove that a named crawler fetched the page.
Record search clicks and impressions for a defined property, country, search type, and period. Record actual inquiries separately and remove duplicates before calculating a conversion rate. Without a trustworthy starting point, later improvement claims are guesses.
Weeks 3–6: fix and explain
Repair verified crawl or page problems. Update important service pages so they answer the questions customers ask: what is included, where the business serves, how the process works, and what affects pricing. Use ranges only when current business records support them. Add structured data when it accurately reflects the visible page; Google says no special schema is needed for its AI features.
Build internal links from related guides to the one page that best answers a commercial query. Avoid creating many near-identical city and industry pages without distinct local value.
Weeks 7–10: strengthen real evidence
Ask for genuine reviews through authorized business processes. Document completed work with customer permission, dates, scope, and limits. Check that business details match across public profiles. A mention or review may help a customer evaluate the business, but none guarantees a particular ranking or AI answer.
Weeks 11–12: review the same measures
Recheck the pages and compare the same Search Console scope to the baseline. Look at which pages received visits and which visits led to qualified inquiries. Note what work was actually delivered and what changed outside your control. If the sample is small, say so and continue observing.
If AI mentions matter, run a defined set of customer queries with engine, date, region, repeat count, and saved responses. Keep that result distinct from RankingLocal's website-readiness score. The score can suggest what to inspect; it cannot establish a recommendation rate.
At the end of 90 days, decide whether to maintain, revise, or stop each activity based on the observed search and business data. Start with the Free Report Preview if you need a private website diagnosis, or use the standalone checks for one question at a time.