Here are definitions for some key data points in Scout.
Metric Derivatives
Many metrics have several variations as listed below.
| Reprot Builder Name Suffix | API Name Suffix |
|---|---|
| Avg Above Benchmark | __AVG_ABOVE_BENCHMARK |
| Avg Below Benchmark | __AVG_BELOW_BENCHMARK |
| Benchmark | __BENCHMARK |
| Benchmark Delta | __BENCHMARK_DELTA |
| Fraction Above Benchmark | __FRACTION_ABOVE_BENCHMARK |
| Fraction Below Benchmark | __FRACTION_BELOW_BENCHMARK |
| Total Above Benchmark | __ABOVE_BENCHMARK |
| Total Below Benchmark | __BELOW_BENCHMARK |
| Total Way Above Benchmark | __WAY_ABOVE_BENCHMARK |
| Total Way Below Benchmark | __WAY_BELOW_BENCHMARK |
Overall Metrics
| Metric Name | API Name | Definition |
|---|---|---|
| Visibility Score | SCOUT_VISIBILITY_SCORE |
Shows how often your brand appears in Google and AI search compared to local competitors. Visibility fluctuates based on external algorithms, but completing Visibility Actions supports improvement over time. |
| Google Rank | SCOUT_GOOGLE_RANK |
The average position of these locations in Google's Search Engine Results Pages (SERPs). A lower score means you're ranking higher in search results. |
| AI Rank | SCOUT_AI_RANK_SCORE |
The average position of these locations in AI answers to unbranded queries. A lower score means you’re ranking higher in results. Locations that did not rank in the top 10 are not calculated into this average. |
Google Metrics
Google Reviews
|
Metric Name API Name |
Definition | Why This Matters |
|---|---|---|
|
Google Avg Page 1 Review Rating
|
The average rating of reviews on page 1 for a location. | ✔️ The first visible reviews shape first impressions and drive user trust. ✔️ Lower average rating on page 1 can negatively affect clicks even if overall rating is high. ✔️ Managing visibility of high-quality reviews matters. ✨AI Search Boost: Generative systems often summarize or extract from top-visible reviews — sentiment here directly impacts presentation. |
|
Google Avg Review Rating Past Year
|
The average rating of reviews in the past year for a location. | ✔️ Recent reviews are weighted more heavily in customer perception. ✔️ A rising or stable rating signals strong operational consistency. ✔️ Google may prioritize recent averages in ranking logic. ✨AI Search Boost: Time-weighted ratings shape LLM responses and influence sentiment summaries. |
|
Google Avg Review Response Time In Days Last 12 Months
|
The average time in days it takes the owner to respond to reviews in the last 12 months for a location. | ✔️ Faster responses show attentiveness and commitment. ✔️ Businesses that respond quickly can de-escalate issues before they spread. ✔️ Timeliness contributes to overall brand perception. ✨AI Search Boost: Fast response patterns help AI identify proactive brands worth surfacing more prominently. |
|
Google Age of Most Recent Negative Review Days
|
The number of days since the owner responded to their most recent negative review for a location. | ✔️ Recency of negative reviews affects perception of current service. ✔️ Recent complaints may reduce conversions even if rare. ✔️ Addressing them quickly shows professionalism and care. ✨AI Search Boost: Fresh negative reviews weigh more heavily in LLM sentiment scoring. |
|
Google Last Review Age Days
|
The number of days since the last review was posted for a location. | ✔️ Older last reviews suggest stagnation or decline. ✔️ Recent reviews show current relevance and engagement. ✔️ May impact trust if competitors show fresher activity. ✨AI Search Boost: AI uses last interaction as a freshness signal—recent reviews increase ranking confidence. |
|
Google Monthly Review Growth Rate %
|
The monthly growth rate of review volume over the last 12 months for a location. | ✔️ Sustained review growth reflects healthy, ongoing engagement. ✔️ Rapid increases may indicate successful campaigns or rising popularity. ✔️ Consistent volume signals relevancy and operational momentum. ✨AI Search Boost: AI systems weigh engagement velocity — fast-rising businesses gain competitive edge. |
|
Google Negative Reviews
|
The fraction of reviews that are negative for a location. | ✔️ A high negative review ratio suggests potential service issues. ✔️ Influences consumer trust and booking decisions. ✔️ Can drag down rating average and reduce visibility. ✨AI Search Boost: LLMs adjust tone and visibility based on overall review sentiment distribution. |
|
Google Negative Reviews Responded To
|
The fraction of negative reviews that received a response from the owner for a location. | ✔️ Responding to negative reviews can mitigate damage and win back trust. ✔️ Shows accountability and willingness to improve. ✔️ May reduce churn and boost future positive feedback. ✨AI Search Boost: Response tone and ownership in negative reviews influence brand perception in AI-generated summaries. |
|
Google New Reviews Per Month
|
The number of new reviews per month for a location. | ✔️ Signals ongoing customer activity and relevance. ✔️ Recency of reviews influences trust and visibility. ✔️ Steady stream of reviews indicates strong customer engagement. ✨AI Search Boost: Fresh reviews influence LLM-based trust models and ranking. |
|
Google Number Of Owner Review Responses Past Month
|
The number of reviews responded to by the owner in the past month for a location. | ✔️ Recency of engagement is as important as volume. ✔️ Signals consistent care for customer feedback. ✔️ Keeps your listing activity fresh and relevant. ✨AI Search Boost: Fresh owner responses help maintain listing momentum in search models. |
|
Google Number Of Owner Review Responses Past Week
|
The number of reviews responded to by the owner in the past week for a location. | ✔️ Week-over-week engagement shows operational discipline. ✔️ Signals current listing management to both customers and algorithms. ✔️ Builds a responsive brand perception. ✨AI Search Boost: AI rankings may favor listings with consistent, recent responsiveness. |
|
Google Number Of Owner Review Responses Past Year
|
The number of reviews responded to by the owner in the past year for a location. | ✔️ Replying to reviews demonstrates responsiveness and professionalism. ✔️ Review responses help resolve issues and show customer care. ✔️ Google recommends replying to all reviews — positive or negative. ✨AI Search Boost: Listings with active response patterns are treated as higher quality in LLM scoring. |
|
Google Number Of Reviews With Keyword
|
Total number of reviews that contain keyword(s) used in the search. | ✔️ Keyword-rich reviews improve topical relevance for search engines. ✔️ They help differentiate your business on key service attributes. ✔️ Encouraging customers to mention what they loved boosts discoverability. ✨AI Search Boost: AI systems extract keywords from reviews to improve semantic query matching and search summary generation. |
|
Google Number Of Reviews With Likes
|
The number of reviews that have received likes for a location. | ✔️ Popular reviews often guide customer decisions. ✔️ High-like reviews increase social proof. ✔️ Helps highlight useful feedback others found valuable. ✨AI Search Boost: LLMs may amplify user-endorsed content — frequently liked reviews get surfaced more. |
|
Google Positive Reviews
|
The fraction of reviews with ratings that are positive (greater than or equal to 4.0) for a location. | ✔️ High positivity ratio indicates strong satisfaction and reliability. ✔️ Businesses with more 4–5 star reviews are more likely to win new customers. ✔️ Optimizing service and asking for feedback can improve sentiment ratios. ✨AI Search Boost: AI ranking models factor in sentiment — higher positivity improves ranking tone. |
|
Google Positive Reviews Responded To
|
The fraction of positive reviews that received a response from the owner for a location. | ✔️ Thanking happy customers builds loyalty and encourages more positive reviews. ✔️ Acknowledging praise publicly reinforces brand values. ✔️ Engaging across all sentiment levels reflects professionalism. ✨AI Search Boost: Active engagement with positive reviews helps reinforce favorable tone in LLM summaries. |
|
Google Reviews With Keyword
|
The fraction of Google reviews that contain keywords versus those that don't. | ✔️ Reviews with service-specific keywords help boost search relevance. ✔️ These reviews often highlight what sets a business apart. ✔️ Search engines use this data to match user queries with listings. ✨AI Search Boost: LLMs extract key themes from review keywords — increasing match precision for semantic queries. |
|
Google Rating
|
The average rating of reviews for a location. | ✔️ Star ratings are a key ranking factor for Google and decision factor for users. ✔️ Businesses with a 4.0+ rating outperform competitors with lower scores. ✔️ Signals reputation strength and service consistency. ✨AI Search Boost: LLMs favor well-rated businesses in query matching and display. |
|
Google Rating Change Last 12 Months
|
The change in rating over the last 12 months for a location. | ✔️ Tracks improvement or decline in reputation. ✔️ Helps monitor service quality trends. ✔️ Can explain fluctuations in ranking or engagement. ✨AI Search Boost: LLMs may use rating trajectories to highlight businesses with improving or declining reputations. |
|
Google Rating One Year Ago
|
The rating of a location one year ago. | ✔️ Enables trend analysis and performance benchmarking. ✔️ Sudden drops may indicate recent service issues. ✔️ Supports longitudinal insights for multi-location brands. ✨AI Search Boost: AI considers past rating stability in presenting trustworthy results. |
|
Google Review Count
|
The number of reviews for a location. | ✔️ Higher review volume increases credibility and conversion. ✔️ Google considers review count when ranking local results. ✔️ Consumers are more likely to trust businesses with ample feedback. ✨AI Search Boost: AI-powered results factor in volume to evaluate popularity and relevance. |
|
Google Reviews Responded To
|
The fraction of reviews that received a response from the owner for a location. | ✔️ A high response rate shows customer care and reputation management. ✔️ Customers are more likely to trust businesses that acknowledge feedback. ✔️ Google encourages replying to reviews as part of local SEO best practices. ✨AI Search Boost: AI systems consider responsiveness as a trust factor — influencing ranking tone and inclusion likelihood.""" |
|
Google Total Review Likes
|
The total number of likes on reviews for a location. | ✔️ Likes on reviews indicate public endorsement of helpful content. ✔️ Boosts visibility of highly rated reviews in listings. ✔️ Adds another signal of credibility and influence. ✨AI Search Boost: User-endorsed reviews surface more prominently in AI training and result summaries. |
|
Google Total Reviews One Year Ago
|
Total number of reviews one year ago from today. | ✔️ Year-over-year comparisons reveal growth or decline in feedback. ✔️ Helps identify performance trends over time. ✔️ Review baseline can contextualize recent success or concerns. ✨AI Search Boost: LLMs may adjust weight based on review age trends — fresher performance carries more impact. |
|
Google Total Reviews Past Month
|
The number of reviews received in the past month for a location. | ✔️ Indicates recent customer activity and listing momentum. ✔️ Signals freshness and ongoing service quality. ✔️ Correlates with improved local ranking. ✨AI Search Boost: AI prioritizes listings with high recent engagement when surfacing suggestions. |
|
Google Total Reviews Past Week
|
The number of reviews received in the past week for a location. | ✔️ Recent review volume influences recency ranking signals. ✔️ Google prioritizes freshness for local results. ✔️ High review activity indicates business momentum. ✨AI Search Boost: Recency boosts freshness signals AI uses for ranking intent. |
|
Google Total Reviews Past Year
|
The number of reviews in the past year for a location. | ✔️ Review volume over time signals momentum and customer engagement. ✔️ Yearly totals allow for benchmarking against competitors. ✔️ High annual volume builds long-term trust and authority. ✨AI Search Boost: AI models assess engagement trends — consistent yearly reviews help strengthen performance signals. |
|
Google Total Reviews With Text Past Year
|
The number of reviews with text for a location. | ✔️ Text reviews provide keyword-rich content for AI and SEO. ✔️ Users value detailed feedback over star rating alone. ✔️ More text reviews increase ranking potential and insight value. ✨AI Search Boost: Text content feeds AI systems with sentiment and keyword context. |
|
Google Total Reviews Without Text
|
Number of reviews with a star-only rating. | ✔️ Textless reviews offer less insight into customer experience. ✔️ A high ratio may indicate low engagement or incentivized reviews. ✔️ Reduces the richness of your online reputation footprint. ✨AI Search Boost: LLMs prioritize listings with detailed narrative data over star-only reviews. |
Google Profile
|
Metric Name API Name |
Description | Why This Matters |
|---|---|---|
|
Avg Minutes Spent At Location
|
The amount of time a customer spends during each visit to the location. | ✔️ Dwell time reflects how compelling and engaging a location is. ✔️ Locations with longer visits may provide better service or experience. ✔️ Google may use visit duration as a proxy for quality. ✨AI Search Boost: LLMs can factor in behavior signals like time spent to infer business reputation and prominence. |
|
Google Profile Age of Most Recent Business Hours Update By Owner Days
|
The number of days since the owner updated their business hours for a location. | ✔️ Accurate hours reduce customer frustration and missed visits. ✔️ Frequent updates indicate a live and maintained listing. ✔️ Google rewards listings that regularly confirm key info. ✨AI Search Boost: Time-sensitive accuracy improves confidence in results, especially in real-time queries. |
|
Google Profile Categories Contain Keyword
|
Indicates whether the Google Business Profile has keywords that match the category. | ✔️ Adds contextual relevance to Google’s categorization. ✔️ Improves content targeting for niche and broad terms. ✔️ Supports AI understanding of business type. ✨AI Search Boost: Semantic category alignment improves LLM topic relevance. |
|
Google Profile Completeness
|
Percent of the following key fields filled out in Google Business Profile: Owner Verified Address Phone Website Primary Category Secondary Categories Business Hours Merchant Description Cover Photo Profile Photo Attributes Secondary URL |
✔️ Complete listings rank higher in both traditional and AI-powered local search. ✔️ Ensures eligibility for features like Google Posts, Q&A, and Call-to-Action buttons. ✔️ Boosts consumer trust and click-through rates by removing missing info. ✨AI Search Boost: LLMs prefer complete entities to confidently surface in responses. |
|
Google Profile Has `Plan Your Visit`
|
Indicates whether the Google Business Profile has a Plan your Visit feature. | ✔️ Helps customers plan trips more efficiently (e.g., busiest times, accessibility). ✔️ Enhances listing completeness. ✔️ Can reduce uncertainty and improve foot traffic. ✨AI Search Boost: Visit planning data is integrated into AI-generated previews for nearby results. |
|
Google Profile Has Address
|
Indicates whether the Google Business Profile has an address listed. | ✔️ Verified location enables appearance in Google Maps and local pack. ✔️ Essential for physical visits and local SEO. ✔️ Missing address reduces discovery in geo-intent searches. ✨AI Search Boost: Location-aware models deprioritize listings lacking confirmed address data. |
|
Google Profile Has At Least One Attribute
|
Indicates whether the Google Business Profile has at least one attribute. | ✔️ Attributes showcase operational details that users care about (e.g., accessibility, ownership, service). ✔️ Drives engagement and builds trust. ✔️ Differentiates your listing in crowded categories. ✨AI Search Boost: LLMs prioritize attribute-rich profiles in personalized and inclusive result sets. |
|
Google Profile Has At Least One Merchant Photo
|
Indicates whether the Google Business Profile has at least one merchant photo. | ✔️ Merchant-uploaded photos reflect brand identity and professionalism. ✔️ Helps customers visualize the experience or offerings. ✔️ Increases credibility and engagement. ✨AI Search Boost: AI models extract visual context from business-uploaded photos for richer summaries. |
|
Google Profile Has At Least One Secondary Category
|
Indicates whether the Google Business Profile has at least one secondary category listed. | ✔️ Increases visibility across a broader range of relevant queries. ✔️ Supports better classification of business capabilities. ✔️ Secondary categories help reach users who search differently. ✨AI Search Boost: Secondary categories provide alternative context for LLMs during query disambiguation. |
|
Google Profile Has At Least One Secondary Url
|
Indicates whether the Google Business Profile has at least one secondary URL listed. | ✔️ Secondary URLs provide deeper engagement paths. ✔️ Shows a robust online presence. ✔️ Improves business credibility and completeness score. ✨AI Search Boost: Deep link structure supports AI discovery of related content. |
|
Google Profile Has Business Hours
|
Indicates whether the Google Business Profile has hours listed. | ✔️ Shows operational consistency and reliability. ✔️ Essential for local intent queries (e.g., 'open now'). ✔️ Missing hours can suppress visibility. ✨AI Search Boost: AI deprioritizes listings without hours for time-sensitive queries. |
|
Google Profile Has Cover Photo
|
Indicates whether the Google Business Profile has a cover photo. | ✔️ Visual branding improves perception and recall. ✔️ Encourages engagement and exploration. ✔️ Establishes visual consistency across channels. ✨AI Search Boost: Image quality and relevance contribute to richer AI-generated summaries. |
|
Google Profile Has Keyword In GBP Business Name
|
Indicates whether the Google Business Profile has keywords in the business name. | ✔️ Keywords in business names can significantly influence local pack rankings. ✔️ Boosts contextual relevance when aligned with user queries. ✔️ Often seen in top-performing listings — especially for unbranded searches. ✨AI Search Boost: Keyword match strengthens name-entity linking in AI retrieval models. |
|
Google Profile Has Keyword In Primary Category
|
Indicates whether the primary category of the Google Profile contains keywords. | ✔️ Matching user intent starts with the right category. ✔️ Google relies heavily on GBP category relevance for ranking. ✔️ Including keywords in categories boosts discoverability. ✨AI Search Boost: LLMs cluster categories with keyword queries to drive smarter AI result matching. |
|
Google Profile Has Local Landing Page
|
Indicates whether the website URL is a subpage, e.g., https://brand.com/locations/austin (true) is a subpage of https://brand.com/locations (false). | ✔️ Dedicated local pages improve search performance. ✔️ Enables localized keyword targeting for SEO. ✔️ Helps Google better associate the listing with a specific area. ✨AI Search Boost: LLMs associate landing page content with local intent queries. |
|
Google Profile Has Merchant Description
|
Indicates whether the Google Business Profile has a merchant description listed. | ✔️ Description helps articulate what makes the business unique. ✔️ It’s one of the few places to directly highlight differentiators. ✔️ Used by Google to supplement knowledge panels. ✨AI Search Boost: Merchant descriptions improve entity recognition in AI models and enhance summarization. |
|
Google Profile Has Phone
|
Indicates whether the Google Business Profile has a phone number listed. | ✔️ Allows direct user engagement and conversion. ✔️ Supports verification and builds trust with searchers. ✔️ Phone number presence is a core completeness metric. ✨AI Search Boost: AI may infer reliability based on verified contact methods. |
|
Google Profile Has Popular Times
|
Indicates whether the Google Business Profile has popular times listed. | ✔️ Indicates business popularity and foot traffic. ✔️ Builds trust with customers. ✔️ Enhances engagement metrics tied to real-world behavior. ✨AI Search Boost: Behavioral data like popular times enhance AI personalization. |
|
Google Profile Has Primary Category
|
Indicates whether the Google Business Profile is categorized in Google. | ✔️ Crucial for categorizing your business in search results. ✔️ Strongly influences visibility and relevance in local packs. ✔️ Missing or incorrect categories hurt findability. ✨AI Search Boost: Primary category helps LLMs align listings with user search goals. |
|
Google Profile Has Profile Photo
|
Indicates whether the Google Business Profile has a profile photo. | ✔️ A profile photo increases clickthrough and trust. ✔️ Completeness score is directly tied to visual identity. ✔️ Boosts appearance in map and AI recommendations. ✨AI Search Boost: Visual identity cues support AI-based reputation analysis. |
|
Google Profile Has Social Media Links
|
Indicates whether the Google Business Profile has social media links. | ✔️ Social links extend brand presence across platforms. ✔️ Builds trust by showing connected digital identity. ✔️ Encourages deeper engagement and cross-channel visibility. ✨AI Search Boost: AI may cross-reference linked domains to validate credibility and brand consistency. |
|
Google Profile is Claimed
|
Indicates whether the Google Business Profile has been claimed by the owner. | ✔️ Verifies business ownership and credibility. ✔️ Required for updates and managing insights. ✔️ Enhances ranking through platform trust signals. ✨AI Search Boost: Claimed profiles are favored by AI for being more trustworthy. |
Google Social Media
|
Metric Name API Name |
Description | Why This Matters |
|---|---|---|
|
Google Age Of Most Recent Photo By Owner Days
|
Age of the most recent photo posted by the owner, in days. | ✔️ Recent owner-uploaded photos signal an actively managed listing. ✔️ Helps maintain visual relevance and seasonal accuracy. ✔️ Shows customers what to expect now, not years ago. ✨AI Search Boost: LLMs prefer listings with fresh media, which reinforces credibility and reduces hallucinations. |
|
Google Age Of Most Recent Photo Days
|
Age of the most recent photo posted by anyone, in days. | ✔️ Stale photos can create mistrust or confusion. ✔️ Customers may assume a lack of attention or outdated operations. ✔️ Fresh media improves conversion rates and visual appeal. ✨AI Search Boost: Recency of images enhances LLM trust scores when generating visual descriptions. |
|
Google Age Of Most Recent Video By Owner Days
|
Age of the most recent video posted by the owner, in days. | ✔️ Video tells a dynamic story of your brand and experience. ✔️ Outdated video may misrepresent your offering. ✔️ Recency increases customer relevance and accuracy. ✨AI Search Boost: Generative search models include fresh video in multimedia snippets and summaries. |
|
Google Age Of Most Recent Video Days
|
Age of the most recent video posted by anyone, in days. | ✔️ Video recency impacts relevance and engagement. ✔️ Publicly contributed videos that are outdated can confuse users. ✔️ Updating visuals keeps listings competitive and trustworthy. ✨AI Search Boost: LLMs and AI search engines use media freshness as a confidence signal. |
|
Google Most Recent Post Age Days
|
Number of days since the last post on Google Business Profile. | ✔️ Posting regularly signals active marketing and operations. ✔️ Fresh posts can contain current promos or updates. ✔️ Improves visibility and engagement in the local pack. ✨AI Search Boost: Posts are used as signals of recency and dynamic business activity in generative models. |
|
Google Photo Count
|
The number of photos a business has posted on Google. | ✔️ Visual content significantly improves click-through and engagement. ✔️ Photos help customers pre-screen experiences (e.g., ambiance, cleanliness). ✔️ Google gives visual-rich profiles more visibility in Maps and mobile views. ✨AI Search Boost: Rich visuals help AI models render contextual, appealing listings. |
|
Google Social Posts Per Month
|
The average number of posts a business makes on Google each month. This indicates how often a business shares updates or news on their Google profile. | ✔️ Frequent posts indicate an active, engaged business. ✔️ Posts are indexed and improve keyword relevance. ✔️ Helps highlight offers, events, and time-sensitive content directly on listings. ✨AI Search Boost: AI systems highlight up-to-date listings in responses. |
|
Google Video Count
|
The number of videos the business has posted on Google | ✔️ Video helps users get a richer understanding of your business. ✔️ Businesses with video see higher engagement and stronger visual impact. ✔️ Google encourages adding video to enhance listings. ✨AI Search Boost: Listings with multimedia content are more likely to appear in video-enhanced and AI-powered results. |
Listings Metrics
|
Metric Name API Name |
Description | Why This Matters |
|---|---|---|
|
Listings Coverage %
|
We calculate this by looking for listings on the publishers from our Listings Network available via API. | ✔️ Measures how often listings appear in local search results. ✔️ Directly tied to traffic, leads, and conversions. ✔️ Locations syncing >75% of Yext’s network saw a 186% increase in Google clicks. (Yext) ✨AI Search Boost: Visibility signals listing strength and domain relevance to AI systems. |
|
Listings Coverage with NAP Accuracy %
|
We calculate this by looking for listings on the publishers from our Listings Network available via API where Name, Address, and Phone Number (NAP) match. | ✔️ Accurate info reduces bounce rate and frustration. ✔️ Mismatches across platforms hurt trust and rankings. ✔️ Essential for location-driven searches (hours, address, etc.). ✨AI Search Boost: LLMs penalize inconsistent or contradictory signals. |
Website Metrics
|
Metric Name API Name |
Description | Why This Matters |
|---|---|---|
|
Has GMB Phone
|
Indicates whether there is a phone number listed in the Google Business Profile. | ✔️ Ensures contactability directly through Google search and Maps. ✔️ Builds trust with customers seeking immediate answers. ✔️ Validated phone numbers improve listing credibility. ✨AI Search Boost: Confirmed contact info increases presence in knowledge panels and voice search. |
|
Website Has City And State In Title
|
Indicates whether the names of the city and state are in the website title. | ✔️ Helps search engines connect the business to geo-specific searches. ✔️ Boosts local relevance and rank in AI and map-based searches. ✔️ Strong signal for intent-based queries. ✨AI Search Boost: Geo terms improve relevance in AI-powered |
|
Website Has City In Title
|
Indicates whether the name of the city is in the website title. | ✔️ Helps listings surface for geo-specific search terms. ✔️ Improves clarity for users seeking local services. ✔️ Aids Google in disambiguating service areas. ✨AI Search Boost: Titles with location signals get higher priority in local intent LLM queries. |
|
Website has Local Business Schema
|
The website schema matches the Local Business schema, details here: https://schema.org/LocalBusiness | ✔️ Structured data helps search engines understand the business type, hours, location, etc. ✔️ Improves eligibility for rich results like knowledge panels. ✔️ Enhances discoverability and accuracy in local SERPs. ✨AI Search Boost: Schema markup improves parsing of business attributes in AI-generated answers. |
|
Website HTTP Request Load Time
|
Number of milliseconds it takes for the business or location's website to load. | ✔️ Fast-loading pages reduce bounce rate and improve mobile UX. ✔️ Google uses page speed as a ranking factor for local and organic search. ✔️ Users expect instant content — delays reduce conversions. ✨AI Search Boost: LLMs deprioritize slow-loading pages when surfacing listings. |
|
Website Is Responsive
|
Indicates whether the website is responsive across devices. | ✔️ Mobile-friendly pages improve user experience across devices. ✔️ Responsiveness is a confirmed Google ranking factor. ✔️ Prevents loss of traffic due to poor rendering or load times. ✨AI Search Boost: LLM-driven UX models surface pages with clean, responsive formatting in AI-generated links. |