Localith adds ChatGPT and Claude analysis for multi-location GBP teams

Localith has launched a way for agencies and in-house teams to analyze Google Business Profile data inside ChatGPT and Claude, aiming to cut the manual reporting burden across multi-location businesses. The move comes as a study of 811 professionals found widespread monthly spreadsheet work and limited ability to connect GBP activity to visits, reservations and inquiries.

Why it matters: - Multi-location teams often spend hours stitching together Google Business Profile data before they can see which locations are winning or losing. - Localith’s connector pushes that analysis into ChatGPT and Claude, which could speed up reporting, surface location-level issues faster and reduce manual spreadsheet work. - The shift matters because the study found many teams can see GBP results, but still cannot clearly tie actions to business outcomes.

What happened: - Localith introduced a way to connect Google Business Profile data to ChatGPT and Claude for agencies and in-house teams. - Users can ask plain-language questions about connected locations, compare performance and build reports. - The company tied the launch to its State of Multi-Location Google Business Profile Management 2026 study, based on 811 professionals who manage or oversee multiple GBP locations.

The details: - More than half of respondents, 52.4%, said internal staff manually aggregate GBP data each month. - Only 20.4% said they could fully measure how individual initiatives contributed to visits, reservations and inquiries. - Even so, 88% said they had seen measurable outcomes from GBP work, including more visits or inquiries. - Localith’s connector lets teams compare monthly impressions, calls, website clicks and direction requests across profiles. - Teams can ask for locations where visibility increased but customer actions fell. - Teams can also request monthly review summaries for a client or brand. - Localith’s report library includes prompts for comparing review performance, identifying recurring complaints and checking for missing listing information. - The reporting workflows read connected data without changing the listings. - Only 24.7% of respondents said they analyze review content and trends and act on them. - Another 43.3% said they track ratings and review counts only. - Localith’s GBP reports summarize themes by location so teams can review feedback alongside performance data. - Localith’s broader platform also includes listings management, review responses and publishing. - The product set combines reporting with the operational work needed to maintain a business’s Google presence.

Between the lines: - The launch reflects a broader shift from static reporting to conversational analysis, where teams can ask a tool what changed instead of assembling every report manually. - That can improve speed and clarity, but it does not prove causation between a GBP change and a booking or sale. - The study suggests many organizations have data, but not enough attribution discipline to know which local tactic deserves more budget or attention.

What's next: - Localith is aiming to make regular location-level analysis more practical for multi-location teams. - The company says easier access to data should help teams decide what to investigate next, even if business records are still needed to prove what drove an outcome. - The full report includes the study’s methodology and geographic scope. - Localith’s LinkedIn page is available here.

The bottom line: - Localith is betting that AI chat interfaces can turn GBP reporting from a monthly chore into an ongoing management tool for multi-location brands.