What Belongs in an AI Search Sprint?

By Ryan Goering, founder and CEO of BaaDigi.

Last updated: September 2026.

What should week one establish?

Create a baseline from the available search and inquiry records. Save a defined set of AI questions, the returned answers, dates, engines and useful context. Record which checks did not complete. Inspect whether the right business was named and whether any linked sources actually support the answer.

Review the website as a customer: find the service area, understand the offer and test the contact path under an agreed procedure. Record factual errors and technical problems separately. A missing mention does not automatically establish a website defect, and a working form does not prove the business is visible for the intended questions.

What should week two improve?

Prioritize pages that answer an important customer question and have evidence available. State the service, scope, location, real price conditions and next step clearly. Add relevant project evidence only with permission and accurate context. Remove unsupported results or experience claims instead of replacing them with another impressive number.

Google’s AI-feature guidance says no special additional optimization is required for its AI features. Use that as a reason to focus on useful, accessible information rather than inventing an AI-only page format or promising that a markup change will trigger a citation. Keep the work tied to a concrete reader need. Write each rewritten page the way the LLM SEO guide lays out: the answer in the first paragraph, real prices published, service facts a machine can quote.

How should week three connect the information?

Check that retained pages have useful incoming and outgoing links. A service explanation should connect to relevant evidence, deeper guidance and a contact option. Use anchors that accurately describe the destination. Replace stale redirecting links where the correct destination is known, and review surrounding text when the subject changed.

Review business information on profiles the company controls. Confirm current name, hours, services and contact details using actual records. Ask real customers for honest feedback under the platform’s rules, without scripting a review outcome or claiming that a particular review count guarantees recommendations. Record what changed and who approved it. Answering existing reviews is week-three work too: across 37 BaaDigi client profiles, only 51.5% of 7,203 Google reviews have an owner reply, and the median reply took 90 hours.

What must week four verify?

Repeat the original checks rather than inventing a new scorecard at the end. Verify the rendered page, not only the draft or database. Keep technical acceptance separate from business outcomes that may take longer to observe. A month ending is not evidence that the work produced a recommendation.

How should the schedule handle blockers?

If a claim lacks evidence, remove or narrow it rather than waiting for a perfect story. If a proposed page overlaps a stronger existing answer, review whether it should be a section instead. If publishing is blocked, complete source review and prepare a clear handoff. Do not quietly expand scope to fill the calendar.

Use a short issue list with the decision needed, responsible person and next action. Some gaps cannot be solved by writing: missing access, an unconfirmed offer or a broken intake integration needs the appropriate owner. The sprint should make those dependencies visible, not conceal them behind a promise of completed optimization.

What belongs in the handoff before the next sprint?

Separate accepted work from unfinished work. For each released page, keep the approved facts, live URL, reason for the change and verification result. For each open issue, record the decision needed, owner and dependency. Do not mark a missing approval or unavailable source as complete merely because the calendar ended.

Use the implementation record to document delivery and the tracking guide to preserve the later comparison. A useful handoff lets the next person continue the work without restarting the audit or losing the original question set.

What should the budget cover?

Separate diagnosis, factual research, copy changes, technical implementation and ongoing measurement. Ask which deliverables are included and which require additional work. A low-priced scan is not the same as repairing the site, and a rewrite package is not proof that someone tested the resulting inquiry flow.

BaaDigi’s AI Visibility Audit is $497 for its published diagnostic offer. The SEO service addresses implementation scope. You can begin with the visibility checker, but define what a paid engagement adds before buying. No generic sprint price or guaranteed return is established here.

What should happen after the sprint?

Review the accepted deliverables and unresolved issues first. Then compare search and inquiry evidence over an appropriate period, keeping sales-cycle delay and other changes visible. Repeat a consistent AI sample when it serves a decision. Do not claim that a changed answer was caused by the latest edit without evidence capable of supporting that conclusion.

Choose the next batch from factual urgency, business relevance and the questions customers actually ask. The AI discovery guide can support that plan. Continue the work that makes the business easier to understand and contact, rather than restarting a new 30-day promise every time a platform changes.