Summary

Announcing LocalClarity’s latest AI-focused enhancement: custom AI Agents. Clients can now incorporate unique instructions, brand content, and location data into AI workflows.

Background

At LocalClarity, we are committed to constantly improving our platform to deliver smarter, more efficient solutions for managing your business’s local presence and store reputations. These new AI agents are designed to work hand in hand with your team. They help you manage large volumes of reviews more quickly, with greater accuracy, while maintaining the personal touch your customers expect.

Details

We have added a custom agent builder workflow to the platform. Initially, you can access it from the Intelligent Auto Response workflow, but it will soon have its own page in Settings. The first page starts with a request for a custom icon to represent the agent, a short name, and then a description that helps to identify the roles in a multi-agent profile (this description is internal and not part of any prompt customization).

Next, you can provide business background details used within the AI model prompt to ensure each response reflects the unique flavor of your brand. Share details on the brand’s history, value proposition, market position, and other rich content. Don’t forget to include geographic elements to help the model respond with appropriate regional language preferences. If the model needs to follow specific industry instructions, like HIPAA rules that restrict sharing patient details, make sure to provide instructions in this section.

Prefer to discuss your unique prompt needs with the LocalClarity Client Success team? Let us know, and we can work together in a “sandbox” environment to explore various prompt and settings sets to trigger the idea responses.

The next step lets you craft custom prompt instructions to set the tone of voice based on the review’s star rating. Suggestions are provided as a default setting that instructs the model to be more serious (and brief) as you walk down the rating scale.

Now that the agent understands your business better, it’s time to set your language preferences and appetite for response variability. Here’s where you choose if all review response suggestions should be in the identified language of the review (the “polylingual” setting), or if you would prefer that all responses be composed in a selected language. (Please let us know if you prefer this fixed approach and don’t see the preferred language choice).

At the bottom, you're invited to set the relative response variability, from 0.1 to 1.0. If you’re going to be sending responses without human moderation, we recommend settings in the 0.2 to 0.4 range. You’ll always be able to come back and edit this setting if needed.

Finally, you can confirm all the details to build your agent. Don’t worry—you’ll always be able to go back in and edit any parameters.

What's Next

The Agents are being directly incorporate into the Auto Response Campaign workflow with today release but the team is also working on agentic listing management.

Summary

Fully embracing the emergent capabilities of having custom AI Agents in the LocalClarity platform, we have included an AI Agent option for Intelligent Auto Response.  

Background

While users have utilized AI reply in the platform to manually respond to reviews, we have been looking to enhance efficiency hand-in-hand with the evolution of the newest LLM models while always giving clients full control over assuring on-brand responses. These new Agentic process can be used as an assistant or set to operate automatically.

Details

The first use case for custom Agents in the LocalClarity platform is review response management. Users can now decide whether to use templates or an AI Agent for their Intelligent Auto Response campaigns. When selecting AI Agent, the user will then be able to follow prompts to train the AI to respond to their reviews as they'd like. This includes tone of voice by star rating, brand characterizations, delivery style, and more.

To ensure brands have the final say over their responses, AI Agent campaigns can be set to send the response on a schedule or a new option that drops the proposed response an Approval folder within the ReviewsInbox &trade. This allows ad Editor or Admin to quickly go through and either approve or edit the responses in quick succession. This is the balance between utilizing AI while also having human safety rails.

What's Next

As we continue to utilize AI in the platform, look for more feature enhancements and hybrid auto response campaigns.

Summary

Intelligent Auto Response has been updated to provide users with a more customizable and scalable feature. 

Background

While Auto Response campaigns have saved LocalClarity users countless hours, we wanted to make the campaign creation and maintenance user friendly, especially for profile with multiple campaigns running simultaneously.

Description

The first major major update helps to streamline campaign maintenance across review star ratings. Previously, you would need to create a distinct campaign for each star rating. Now, you can select all the ratings and then the templates to use for the respective ratings. Everything will work in the background to make the correct responses are triggered based on the review rating provided.

Next, you'll see an update in the sort order in building a campaign. The flow has been update to 'Who' (the sources, ratings, comment length, languages, and custom groups), 'What' (the selection of templates or the new AI agent) and finally 'When' (either scheduled or the new option to drop the response into a human moderated approval workflow). This new approval options helps to significantly expanded the application of campaigns for reviews with comments.

The template selection page has been updated to provide users with the ability to search, filter, and then select the templates for each star rating in the campaign. Missing the right template, you can now trigger the template builder pop-up right in the campaign builder (an often requested update).

Additional Updates

Default Templates - Users can now choose from the starter set of default templates, their own created templates, and universal templates. Having more options will allow for a more varied response set in a given campaign.

New Campaign Cards -  Allow users to see more information about their current campaigns, including:

• Star Ratings
• Location Filters (Group, Location, etc.)
• Language
• Response Rate
• Response Delay Time

What's Next

Our top-of-the-line Intelligent Auto Response is soon going to be transformed by Artificial Intelligence. 

Summary 

Review and listing integrations are now available for the delivery platforms of GrubHub, UberEats and DoorDash. 

Background 

LocalClarity is leveraging the website changes in these food delivery platforms so that we can now directly index customer reviews and core location listing data points. This enhancement extends the LocalClarity integration capacity for restaurants so that they can now monitor customer feedback across all distribution channels. 

Details 

Each of the new Integration points are available in the Integration section, with each having the same URL based integration steps with the option for both business and competitor review indexing.

What’s Next 

While LocalClarity has very strong coverage for large platforms, we are committed to extending our integration to regional platforms globally. 

Summary 

Each Google Business Profile listing is now presented with a Listing Health score breakdown, plus the respective action items necessary for full optimization. 

Background 

Visibility to Google Listing Health scores for all account locations is just the first step for local optimization at scale.  This release provides a direct visual roadmap of which listing data elements are full populated or optimized and which remain open. 

Details 

Navigating to the Location Management module and then going to the support right selection of the G icon will bring you to the Google Business Profile detail section. For each listing record you will see an option to open the listing record to see how the Listing Health Score was calculated. 

The top bar or green tags will present all the items that are fully populated or have an A score of over 90%. Each of these elements are driving excellent discovery in local/map search and engagement with your brand’s listing content. 

The second bar represents all items that have an opportunity to improvement. While some might represent quick wins (e.g., a missing phone number or URL), others might require a more comprehensive exploration for how to improve your success in a competitive marketplace (e.g., average review rating under 4.0). 

The Health Scoring system is based on an generalized model that applies to most business types so there may instances where your locations couldn’t possibly achieve a perfect score, such as in the case where Google doesn’t support Services for your locations. The reverse is also true, a Restaurant without a menu published to Google is missing a significant opportunity. Listing Health Score is a baseline metric. Once a maximum score is achieved, brands can look to extended their competitive lead with a more refined playbook. 

What’s Next 

We look forward to extending this functionality .  

Group Aggregation 
Now that we have visibility at the profile and individual location level, we will provide aggregate reporting for custom Groups in the next few sprint releases. This will give clients the opportunity to more easy track their success.

Trend Reporting 
Recording the health score for each location (and in aggregate) weekly will give clients that opportunity to directly connect efforts to increase health scores with changes in local search discovery and conversion.  

Custom Scoring Models 
The base scoring model covers many business categories, but the relative weights would be significantly different. For example, complete and accurate Services for a plumber is more important than retailer, and imagery is more impactful for a restaurant than for an accountant.  

Multi-Source Scoring 
LocalClarity will extend the concepts of individual listing health scoring to Apple Business Connect and Bing Placed for Business, while also providing for visibility to location health by exploring completeness, accuracy, and consistency per location across listing sources.