A Practical 90-Day AEO Plan for Local Businesses
Answer engine optimization can become overwhelming when every possible tactic is placed on one list. A local business does not need to solve the entire future of AI discovery in a week. It needs an ordered plan that improves the foundations first, creates measurable observations, and turns those observations into focused work.
A useful 90-day plan has three phases: establish the truth, strengthen public agreement, and operate a controlled improvement loop.
Days 1–30: What should a local business fix first for AI search?
Make the business easy to identify: one consistent name, domain, category, location or service area, and contact details.
Confirm the canonical business name and domain. State the primary category in direct language. Publish the real services or products, address or service area, contact method, and applicable hours. Identify any operational limits that an AI system should not guess about.
Then inspect the domain as a machine-facing storefront. Important pages should be reachable through clear navigation. Canonical URLs should be consistent. Essential content should not depend on fragile rendering. Structured identity should agree with visible copy. Old pages and domains should not compete with the current truth.
The output of this phase is a compact owner-approved truth profile and a short list of domain corrections.
Try the free scan on your homepage or a main service page before you rewrite it.
First-month priorities
- Lock the primary business identity and domain.
- Confirm category, offerings, geography, contact, and hours.
- Remove or explain conflicting owned pages.
- Publish clear service and location language.
- Add honest boundaries for price, availability, and unsupported claims.
- Make important facts reachable in machine-readable form.
The business is ready to move forward when a person unfamiliar with it and a machine reading the site can reach the same basic description.
Days 31–60: How do I build authority and consensus?
The second month moves outside the website. The objective is to verify what independent sources say and reduce the contradictions that make selection risky.
Start with the sources most likely to shape local discovery: map profiles, important directories, professional or industry profiles, community references, and review platforms. Confirm that they point to the correct entity and repeat current core facts.
Look for duplicate listings, old addresses, former names, incorrect categories, and stale contact details. Review customer feedback for recurring service, location, quality, and risk themes. Identify credible credentials or community relationships that are real but difficult to discover.
Do not attempt to flood the web with low-quality mentions. A few independent, relevant, current sources are more useful than a large contaminated footprint.
Second-month priorities
- Align the highest-impact external profiles.
- Resolve duplicate and stale location records.
- Document applicable credentials and authoritative sources.
- Understand the current review and sentiment pattern.
- Identify two or three evidence-backed differentiators.
- Create a response plan for material public conflicts.
The business is ready for the next phase when the public footprint broadly agrees with the approved truth profile.
Days 61–90: How do I measure and improve selection readiness?
The third month turns AEO into an operating loop you run yourself. It is not a test Runexus performs on your behalf.
Choose five to ten representative customer questions. Include broad category, high-value service, location, specialty, and direct recommendation intent. Record the exact wording and location context.
Ask each assistant separately. Note whether the business is absent, mentioned, recommended, cited, or unavailable. Preserve citations and the competing businesses that appear when the answer supplies them. Keep each assistant's results separate.
The result is not a permanent ranking report. It is a dated observation of what the public evidence produced.
Select one meaningful gap at a time. The gap may be a missing approved fact, ambiguous service area, conflicting profile, inaccessible page, unsupported differentiator, or weak external corroboration. Make the legitimate change, publish it safely, and observe again later.
Third-month priorities
- Approve a stable local-intent question set.
- Ask the questions yourself and keep each assistant separate.
- Store citations and unavailable states honestly.
- Choose the highest-value evidence gap.
- Approve and publish one controlled improvement.
- Compare later observations without promising deterministic rank movement.
What should a business owner review every week?
Five short answers, not a pile of technical diagnostics:
- What did Runexus complete?
- What business truth is currently public?
- What did the latest quick snapshot find?
- What gap matters most now?
- What is the single best next move?
A regular owner update is part of the product. If the owner cannot see the work and its evidence, even technically good AEO can feel invisible.
What results can I expect after 90 days?
Clearer, consistent facts and fewer contradictions you can verify, not a guarantee that any assistant puts you first.
A stronger position looks like one clear entity, a cleaner public record, a safe machine-readable profile, a repeatable question set, and a prioritized improvement loop. The business is easier to verify, easier to compare, and better equipped to earn selection when the evidence fits the request.
How often should I update my business info for AI?
Check it on a regular rhythm, and immediately after any change to hours, location, services or your website, because sites, listings and reviews drift even when nobody plans a change.
The worst time to fix public facts is after a business realizes it has been misrepresented for months. By then, the wrong details may have spread through multiple references, summaries, or customer conversations.
A cadence makes the work smaller. It catches drift earlier. It turns the upkeep into normal maintenance instead of a panic project. The business can see whether important pages are still retrievable, whether outside sources still agree, and whether any new contradiction has appeared.
The right rhythm depends on the business. A single-location company may need a lighter check. A regional brand with many locations needs more frequent attention to profiles and reviews. The common pattern is consistent:
- Review the website for pages machines can actually read.
- Review public profiles for agreement with the website.
- Check that any machine-readable answers still match the approved facts.
- Watch for contradictory or stale facts.
- Prioritize fixes that remove a real contradiction.
Regular review is the operational view of AEO. It is the habit of keeping the business legible as the pages and listings around it keep moving.
Build truth, build consensus, observe the market yourself, and improve one defensible signal at a time.
What should I fix first after a free AI readiness scan?
Fix conflicting core facts (name, address, phone, hours) first, then structured data, then third-party profiles. Google's guidelines for representing your business cover the name, the address or service area, the hours, and keeping one profile.
What does it mean when a scan couldn't check a page?
A scan that couldn't check a page was interrupted. It doesn't mean the item is missing, so retry before you treat it as a gap.
How do I know if my fixes actually worked?
Rescan after the change is live, keep the earlier result, and compare the same checks side by side instead of looking only at the total score.
Does a readiness score tell me whether AI will recommend me?
No. A readiness score captures one point in time and doesn't guarantee a recommendation; whether an assistant names you is a separate question, which Runexus does not test today.
Sources
- Google Business Profile Help, "Guidelines for representing your business on Google"
- Google Search Central, "How to Specify a Canonical with rel="canonical" and Other Methods"
- Google Search Central, "General Structured Data Guidelines"