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A 30-Day AI Discovery Plan for a Small Marketing Team

A 30-Day AI Discovery Plan for a Small Marketing Team

Use this 30-day plan to audit business facts, test AI answers, fix buyer information, and measure outcomes without depending on an unannounced platform feature.

Use this 30-day plan to audit business facts, test AI answers, fix buyer information, and measure outcomes without depending on an unannounced platform feature.

Liam Karlsson

Co-founder & CEO

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About the Author

Liam Karlsson

Co-founder & CEO

Co-founder and CEO of Citera. Writes about how AI search picks the brands it recommends, and what teams can actually do about it.

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Illustrative photograph. Photo: Camera keys notebook coffee (Unsplash).jpg by Melinda Pack, via Wikimedia Commons — CC0. Downloaded Wikimedia version; no custom edits.


You do not need to reorganize your marketing program around a reported dashboard. You need a manageable way to learn where customers encounter unclear information and which corrections deserve attention.


This 30-day plan combines factual accuracy, technical access, useful content, and measurement. It is a suggested schedule, not a promise of results within a month.

Days 1–5: Define the buyer and establish a baseline

Choose one audience, one offer, and one meaningful conversion. A focused project might cover a local service’s weekend inquiries or a SaaS product’s agency buyers.


Collect a small set of real buying questions. Include discovery, requirements, comparisons, constraints, and questions about your brand. Remove private information.


Run a documented baseline and save the full answers. Record mentions, citations, factual accuracy, and apparent suitability separately. Review current referral tracking and the landing pages those visits reach.


Deliverable: a question set, evidence log, and short definition of what success would mean. Keep the initial sample fixed for later comparison.

Days 6–10: Resolve the important factual conflicts

Build a business information register with owners and authoritative sources. Start with facts that affect whether a customer can buy: eligibility, geography, capabilities, prices, availability, and policies.


Compare those facts with your main public pages and maintained profiles. Distinguish genuine contradictions from legitimate differences in billing, region, or service tier.


At the same time, ask the website owner to check representative pages for delivery and access problems. Keep technical evidence separate from assumptions about recommendation behavior.


Deliverable: a prioritized defect list. Every item needs an owner, a verified correction, and a destination where it must be applied.

Days 11–17: Publish one substantial buyer resource

Choose the unanswered question with the clearest business impact. It might require a detailed integration page, a real location page, a product compatibility explanation, or a transparent pricing guide.


Assign a subject expert to verify the substance. Include the conditions and exclusions a buyer would need to know. If you use examples, distinguish fictional illustrations from approved customer evidence.


Improve an existing page when that is the right home for the information. A new URL is not automatically a better answer.


Deliverable: one approved, published resource and a change log. Check the live version rather than relying on the editor preview.

Days 18–24: Connect discovery to customer experience

Review the route from the improved page to an inquiry, booking, or purchase. Can a qualified visitor take the next step? Does the form ask for enough information to establish fit without unnecessary friction?


Confirm how your analytics and customer records describe source and conversion. Keep tracked referrals and self-reported discovery as separate views.


If you operate an agent, review its answers to the changed information. If you do not, prepare the approved answer library before choosing an implementation.


Deliverable: a verified customer path, clear measurement definitions, and a process for keeping consequential answers current.

Days 25–30: Review evidence and choose the next project

Rerun the original question sample under comparable conditions. Note changes to search settings, models, or personalization that could affect interpretation.


Review accurate descriptions, useful citations, referral quality, and business outcomes separately. Thirty days may be too short for a meaningful commercial conclusion. Say so where appropriate.


Choose the next task based on the largest remaining customer information problem, not the most impressive chart. Stop activities that produce effort without a useful observation or buyer benefit.


Deliverable: a one-page review with results, limitations, owners, and the next decision.

Assign ownership that survives the project

One person should coordinate the work, but subject experts must own the facts. Website access belongs with the technical owner; operating hours belong with operations; product limits belong with the product team.


If a new business platform becomes available, evaluate its documented access, controls, and measurement definitions against this existing process. You will be able to assess what it adds because you already know what you are trying to improve.


Start here: Run the visibility audit and build the information register.

Turn insight into organic growth

Citera creates, publishes, and improves your content, fixes website gaps, and tracks what changes. Choose autopilot or review each action.

Turn insight into organic growth

Citera creates, publishes, and improves your content, fixes website gaps, and tracks what changes. Choose autopilot or review each action.

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No matter your starting positon, hand-over the slow manual and annoying work that has to be done over to us, and watch your traffic and revenue grow on autopilot.

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Cancel any time