Local SEO Trends March 2026: Search Everywhere Optimization + FACTS Framework
Summary
AI search is reshaping local discovery. This recap covers key industry updates, the shift to Search Everywhere Optimization, and the FACTS framework that helps multi-location brands improve visibility across Google, social, and AI platforms.
The March SEO Juice dove into the importance of multi-location brands adopting a holistic search everywhere optimization strategy in the age of AI. As search continues to evolve, we are introducing the latest optimization framework FACTS (Freshness, Authority, Consistency, Trust, Semantic Relevance). You won’t want to miss this as we dissect FACTS and how to be part of the conversation everywhere your customers are searching.
The Concept of Search Everywhere Optimization
What is Search Everywhere Optimization?
Traditional SEO focuses on improving a website’s visibility in organic search results. Local SEO is often framed around Google. Discovery doesn’t stop there, and Local Search Optimization shouldn’t either.
As discovery has escaped the Search box, Search now spans AI tools, maps, social media, photos, video, and even real-world behaviors. Your content needs to work across all of them. Social is no longer just a channel, its infrastructure. Social content not only exists and is searchable on the top social platforms- this content is now appearing in traditional search results as well.
LLMs are changing how people search
Traditional SEO shifts from chasing isolated keywords to earning inclusion across key topics, questions and recommendations.
AI and Search Engines now prioritize sites / businesses that demonstrate depth, trust and clear expertise over individual optimized pages. Traditional search’s average search query is four words, but with LLMs, the query is 23.
Visibility in LLM search is also much more difficult. Inclusion in AI recommendations for a local brand is approximately 30X more difficult than inclusion in the Google 3-Pack.
Example – the average star rating of a brand selected by ChatGPT is 4.3 stars, higher than traditional Google or Yelp benchmarks.
Industry News: The latest in Local Search & Social
Google Confirms Bug in Review Reporting; No ETA on When to Expect a Fix
After years of sidestepping the question, a recent update confirmed what SEOs have long suspected: user behavior and engagement do influence rankings. Visits, clicks, interactions, and reviews all play a role. Google’s “Trust Ranking” model tracks how real people engage with your brand—and rewards those who build credibility.
Through our partnership with Google, we have been able to validate the primary source of these discrepancies: a bug related to a system-wide crackdown on unauthorized data scraping companies like SerpAPI.
As Google’s engineers work to patch the API issues caused by their anti-scraping rollout, we expect the missing historical reviews to eventually repopulate in your dashboard. We are monitoring this daily and will notify you the moment Google pushes a permanent fix.
Search Volume Declining? You’re Not Alone
According to a new Datos and SparkToro report on the State of Search Q4 2025, Google searches per user dropped nearly 20% year-over-year, even though Google’s market share remained steady. This suggests a shift in user efficiency rather than a loss of visibility, and should offer some reassurance that declining discovery clicks are likely part of this macro trend, not a failure of strategy. The report theorizes that the decline in search volume is largely driven by AI overviews satisfying complex user intent.
Takeaways: Success must be redefined and measured not by impressions or website traffic, but by capturing qualified leads. Identify and track specific, high-intent actions that drive revenue, whether that’s navigation requests for a storefront or direct inquiries for a service-area business.
ChatGPT Uninstalls Surge Following DoD Deal
Recent data reveals that U.S. uninstalls of the ChatGPT mobile app skyrocketed a staggering 295% following news it entered into significant agreements with the U.S. government, including the Pentagon, allowing for the use of its AI models on classified networks.
Meanwhile, competitor Anthropic (Claude) vaulted to the #1 spot on the U.S. App Store, experiencing a 37–51% spike in downloads after publicly declining a similar Pentagon deal over ethical concerns.
Takeaways: As consumers scatter across different AI assistants and traditional search tools, multi-location brands must adopt a holistic “search everywhere” strategy. Brands that consistently publish content solving real, immediate customer needs will win the referral, regardless of which AI assistant your customers prefer this week.
Are AI Review Responses Allowed by Google?
You may have heard rumors or been sent messaging that Google penalizes or prohibits businesses from using AI to respond to reviews. Google confirmed directly with SOCi that this is false. Using AI to help draft review responses is completely safe, permissible, and compliant with their policies.
Quality Not the Author: Google’s official Search Central guidelines explicitly state the, “appropriate use of AI or automation is not against our guidelines.” They do not penalize a high-quality response just because an AI helped draft it.
Policy is About Consent: Google’s API policy states tools must not automate actions “without the user’s prior specific and express consent.” As long as you are authorizing an AI tool to help you generate and manage your responses, you are adhering to that policy.
Takeaways: You can continue using SOCi Review Agents with confidence. AI is a powerful tool to help you maintain a fast, professional, and consistent review presence, which Google actually rewards!
Introducing FACTS, The New Algorithm For Local Search
Freshness, Authority, Consistency, Trust, Semantic Relevance
The shift to AI-driven discovery requires a new optimization model. FACTS provides a practical framework for improving visibility across search engines, social platforms, and LLMs.
Freshness
Freshness is the new Relevance signal. Multiple studies have now been published showing that LLMs have a recency bias. 60% of cited pages with known publication dates were published within the last two years, with 90% of all pages with freshness data carried 2025 update timestamps.
How to Optimize for Freshness:
Google Business Profile: Post regular images, respond to every review within 48 hours, and update your business description seasonally to prove you are open for business today.
Local Landing Pages: Publish regular updates (events, deals, blog posts) to signal to crawlers that the site is active and worthy of frequent indexing.
Social: Post across all your social handles at least weekly. Local ranking systems apply a ‘time-decay’ penalty to entities with stale data. A consistent 7-day timestamp refreshes your entity’s confidence score, signaling to the algorithm that the business is active and safe to recommend. At minimum, make sure you have an account set up on channels that you don’t have a posting strategy for yet.
Authority
Authority is not just an important part of EEAT, it’s key for visibility in LLM searches, ranking higher than the usual relevance factors we see topping the list in traditional search (categories, business name, proximity).
In the age of AI, “saying” you are an expert isn’t enough. You must demonstrate it. The algorithm looks for visual evidence and comparative data to validate that you actually do what you claim.
How to Optimize for Authority:
Google Business Profile: Use GBP as a news feed for credentials, not just coupons. Post photos of recent awards, team certifications, or completed “Project Spotlights” with a description of the technical work involved. This feeds the Knowledge Graph explicit text and visual data that categorizes you as an “Expert” rather than just a “Merchant.”
Local Landing Pages: Don’t just list your features; publish “Us vs. Them” content. Create comparison tables or guides that objectively compare your offering to generic alternatives. Be the definitive reference point. Highlight awards and trusted partners.
Social: Use video to prove the Process, not just the result; showing the work being done (e.g., mixing the dough, fixing the roof) serves as unfakeable proof of expertise. “Behind the scenes” content is proven to be highly engaging on social, especially at the local level.
Consistency
Consistency acts as a critical validation signal. When data matches, it builds the “confidence score” necessary to rank you; when data conflicts, systems suppress your visibility to avoid the risk of serving incorrect or hallucinated information to users.
How to Optimize for Consistency:
Google Business Profile: Ensure your business name and contact information is consistent across all structured data sources. While different phone numbers may be good for lead tracking, it can make your business seem inconsistent and hurt LLM visibility.
Local Landing Pages: Local Pages are your strongest, controllable structured data source. Your website must act as the one “Source of Truth,” to which all other structured citations must mirror.
Social: Treat social bios as data fields, not just copy. Match hours and location info exactly to your Google Profile to prevent data fragmentation.
Reputation: Strive for consistency of reputation across the sites that matter for your industry.
Trust
Reputation has always been an important trust factor, but to be included in LLM recommendations, Reputation matters more than ever!!!
Trust is a Risk Assessment. Before an algorithm ranks you, it filters you. It looks for signals of spam, fraud, or poor user experience. In the age of AI, “Safety” is a prerequisite for visibility.
How to Optimize for Trust:
Google Business Profile: Focus on a developing a steady stream of reviews rather short campaigns. Create opportunity for people to engage with your listing (posts, photos, menus, SMS links).
Local Landing Pages: Create professional, structured pages that are helpful and engaging. Give new customers a reason to visit (information), and old customers a reason to return (updates).
Social: Create engaging content users want to interact with, especially with the goal to get them to share. Maintain a high reply rate to comments. Silence signals a dead or unsafe account to social algorithms.
Semantic Relevance
When users turn to AI assistants, they are looking for solutions to problems. Optimization is no longer about keyword matching; your content must connect the user’s symptom to your solution.
Semantically Relevant Content addresses the deep meaning, context, and intent behind a user’s query rather than just matching specific keywords.
How to Optimize for Semantic Relevance:
Google Business Profile: Show your business in action within your local market. Replace stock photos with real imagery of physical storefront, offerings, staff and services.
Local Landing Pages: Don’t just build pages for your solutions (e.g., “Divorce Lawyer”); build pages for the problems (e.g., “How to split assets fairly”). You must rank for the question to earn the right to sell the answer.
Social: Create content that validates the user’s experience. When a user sees their own experience portrayed on social, it helps link your brand to that specific life context.
Here are some tips for creating Semantically Relevant content:
Mantra: Connect the user’s pain to your product.
- Identify the “Trigger Event”: Don’t just list “Auto Insurance.” Write about buying a new car, adding a teen driver, or handling a fender bender.
- Use Natural Language: Write exactly how you speak to a client in your office. If you wouldn’t say “Best Auto Insurance Agent near me” in a conversation, don’t write it on your website.
- Answer the “Next” Question: If you write about “Teen Drivers,” also include a section on “Good Student Discounts.” The AI expects these topics to go together.
Stay Ahead of Search Changes
Search is evolving fast. What worked last quarter may already be outdated.
Join our monthly SEO Juice series to stay on top of the latest updates across Google, social, and AI search and learn what to do next.
Session Resources:
ChatGPT uninstalls surged by 295% after DoD deal