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How Is AI Changing Digital Marketing for Local Discovery?
For local businesses, digital marketing has long included familiar work: maintaining a complete Google Business Profile, keeping business information accurate, and helping customers find and evaluate the business. Those efforts still matter. Conversational assistants and answer engines add another place where a business might be discovered, but the evidence about how they select local recommendations is still developing. For additional context on brand presence across AI-powered search, consider the broader discovery landscape.
A Search Engine Land report on AI local visibility offers one useful, limited data point: in the markets and queries it examined, the share of businesses surfaced by AI assistants was reported at roughly 1% to 11%. That range describes the report’s observed results; it should not be treated as a universal rate or as a forecast for any particular business or market.
The finding raises a practical question for local marketers: how does visibility in assistant answers relate to visibility in traditional local search? The report’s figure alone does not explain why a business was or was not recommended, or establish that the factors behind a conventional ranking determine an assistant’s answer.
What the Visibility Gap Can—and Cannot—Tell Us
The reported 1% to 11% range suggests that, in the report’s studied cases, assistants surfaced a relatively limited share of the businesses considered. It does not show that every assistant behaves the same way, that businesses outside the surfaced group are less qualified, or that traditional search rankings reliably predict AI recommendations.
It is reasonable to treat assistant visibility as a separate area to monitor. A business may be prominent in local search and not appear in a particular assistant response, but the report’s result does not by itself explain why. Possible explanations—including differences in query wording, available information, or the systems’ selection methods, should be treated as questions for further investigation, not established findings from the reported percentage.
What Local Teams Can Test
The following are practical experiments, not tactics proven by the Search Engine Land report to increase AI visibility. Their value is that they can help a team understand what assistants currently say and keep public business information accurate.
- Check a range of customer-style queries. Ask several assistants relevant questions about your category and area. Record the query, date, assistant, businesses named, and any descriptions or sources shown. Results may vary, so avoid drawing broad conclusions from a single prompt.
- Review your public business information. Check that your website and business profiles accurately describe your services, location, hours, and other important details. This is sound information maintenance; it is not a guarantee of inclusion in AI answers.
- Consider whether useful local coverage exists. Regional publications, professional associations, and local guides may be worth reviewing as part of a broader communications effort. The report does not establish that third-party mentions cause assistants to recommend a business.
- Keep useful website content clear and current. Pages that answer real customer questions can help people understand your services. Whether particular long-tail content improves AI visibility is not established by the cited report.
- Manage reviews for customers, not as a promised AI signal. Encourage honest feedback in line with platform rules and respond constructively. The report does not demonstrate that review volume, ratings, or responses determine assistant recommendations. For more on review practices, see Reviews as AI Trust Signals.
- Use structured data where appropriate for your website. Structured data can describe information on a page in a standardized format, but the cited report does not show that adding it improves a business’s likelihood of appearing in assistant answers.
These steps can support accurate, useful local marketing. Treat any change in assistant responses as an observation to evaluate over time, not proof that a particular tactic caused a result.
A Measured Approach to Competitive Research
Competitive research can include recording which businesses appear in assistant responses to the same set of queries. That comparison may help identify questions for further investigation, for example, whether competitors have different services, locations, or public information. It does not establish that a particular mention or marketing tactic explains their appearance.
Keep the comparison consistent: use similar prompts, note the date and assistant, and distinguish what the system actually displays from your interpretation of why it happened. Assistant responses can change, and a small number of observations cannot establish a general rule about model behavior.
What We Do Not Yet Know
The Search Engine Land report’s 1% to 11% figure applies to the markets and queries it examined. It is not a universal measure of AI visibility, and it does not prove how models work or which specific optimization tactics are effective. More evidence would be needed to establish whether factors such as third-party mentions, reviews, structured data, or long-tail content influence local recommendations, and under what conditions.
Be cautious of claims promising a fixed formula for inclusion. For now, local teams can monitor assistant responses while continuing to maintain accurate information and useful customer-facing content. Those are practical steps, not guarantees of AI visibility.
Bringing the Two Forms of Discovery Together
AI assistants add another surface for local discovery; they do not make traditional local search irrelevant. Businesses can continue to invest in clear, accurate profiles and websites while treating assistant visibility as an emerging area to observe and test. Teams studying search intent and answer engines can use that work as a separate lens, without assuming it establishes what drives local assistant recommendations.
A measured response to how AI is changing digital marketing is neither alarm nor certainty. Keep established local marketing work in place, check what assistants say about your business, and record the results without assuming that a single tactic explains them. The Search Engine Land report offers a reason to pay attention to this channel, while leaving important questions about selection and effective optimization open.
