How to run a local GEO baseline audit

Ask 10 native enterprise house owners how they’re doing in AI search, and 9 will level to their Google Business Profile. That’s the fallacious place to look.

ChatGPT really helpful only 1.2% of the nearly 350,000 business locations analyzed in SOCi’s 2026 Native Visibility Index. Evaluate that to the 35.9% look charge those self same manufacturers get in Google’s native 3-pack, a spot of roughly 30-fold. Gemini really helpful 11% of areas. Perplexity, 7.4%.

Enterprise profile info throughout the net was solely about 68% correct on ChatGPT and Perplexity, in contrast with 100% on Gemini, which depends solely on Google Maps information.

A enterprise can dominate the map pack and nonetheless disappear the second somebody asks ChatGPT for a suggestion. Most native companies have by no means truly checked out what AI says about them, so that they’re investing in content material and citations with out understanding whether or not any of it reveals up the place it now counts.

An area GEO baseline audit fixes that. It provides you a repeatable strategy to benchmark how AI describes, recommends, or ignores a enterprise earlier than you spend a greenback attempting to enhance it. Right here’s find out how to run one.

Why the baseline comes first

Consider it like stepping on a scale earlier than beginning a food regimen. When you don’t know your beginning quantity, you’ll by no means know whether or not what you’re doing is working. A baseline provides you numbers you possibly can monitor over time: share of voice, quotation charge, and accuracy.

It additionally solutions an even bigger query: Can AI even crawl, perceive, and belief this web site? The reply adjustments all the things you do subsequent. That’s why you want to uncover eligibility issues earlier than enthusiastic about content material technique.

AI additionally weighs indicators in a different way than conventional native search. Conventional native search leans closely on proximity. Whoever’s closest tends to win. AI doesn’t play that recreation. It prioritizes information confidence, authority, and consistency throughout the net. 

Third-party validation and correct, constant enterprise info matter greater than how far-off the searcher is. AI usually depends on the identical enterprise information as conventional native search, simply weighted in a different way. That’s why map-pack rankings inform you nearly nothing about AI visibility.

Step 1: Assemble your audit inputs

Earlier than operating a single immediate, get organized. Open a spreadsheet and canopy 4 question classes as a result of every one exposes a special type of weak point:

• Discovery: “greatest [service] close to me” or “prime [service] in [city]”
• Comparability: “[Brand] vs. [Competitor] in [city]”
• Belief: “[Brand] evaluations” or “is [Brand] dependable?”
• Logistics: hours, deal with, parking, and telephone quantity

Run every question throughout the AI platforms your prospects truly use: ChatGPT, Perplexity, Gemini, and Google AI Overviews. Every platform pulls from totally different sources and phrases solutions in a different way, so showing on one doesn’t assure you’ll seem on one other.

A couple of variables can quietly wreck your information in the event you don’t management for them. AI solutions change based mostly on who’s asking, so check from an outlined location and notice the precise metropolis or ZIP code. 

Run a clear, logged-out session alongside a logged-in one to cut back personalization noise. Date-stamp each run. These fashions replace continually, and a screenshot from final month doesn’t inform you a lot and not using a date hooked up.

Dig deeper: The new playbook for localized AI search optimization

Step 2: Run the prompts and file the outcomes

For each immediate on each platform, seize 5 issues:

• Point out: Did AI point out the enterprise by title?
• Point out order: First, center, final, or lacking?
• Sentiment and framing: Constructive, impartial, or destructive?
• Factual accuracy: Are the hours, providers, and costs appropriate?
• Cited sources: Which URLs and directories did the reply depend on?

These 5 information factors will inform you greater than most companies ever measure for a consumer.

• Arrange your spreadsheet with columns for:
  • Immediate.
  • Platform.
  • Point out.
  • Place.
  • Accuracy rating.
  • Sentiment.
  • Quotation rely.
  • Prime sources. 
• Then calculate two abstract metrics:
  • Visibility share (how usually the enterprise seems).
  • Accuracy share (how usually the information are appropriate).

When you’d somewhat not construct this from scratch, here’s a free template that features the response log, competitor tracker, scorecard, and hole tracker. The hyperlink opens your individual editable copy.

Whilst you’re at it, log opponents, too. Be aware who else appeared in every reply, the place they ranked, and which sources supported them. That tells you who’s profitable the class in AI’s eyes, and sometimes why.

Step 3: Diagnose the gaps

Each hole you discover falls into considered one of three buckets:

• Invisible: The enterprise merely doesn’t seem for a related question. That is the commonest failure mode for native companies simply beginning to consider AI visibility. It often traces again to blocked crawlers, an absence of citable content material, or few third-party mentions.
• Inaccurate: The enterprise seems, however the particulars are fallacious. An previous deal with. Hours that don’t match actuality. A service discontinued two years in the past. This isn’t simply annoying. AI treats inconsistency as a belief sign, so companies with unreliable info usually tend to be hedged or omitted from solutions. This often traces again to outdated on-site info or inconsistent NAP (title, deal with, telephone) information throughout directories.
• Misframed: The enterprise will get talked about, however it’s buried beneath opponents or described because the weaker choice. This often stems from a skinny overview profile or weaker authority indicators than the opponents profitable that question.

As soon as you understand which bucket a spot falls into, you possibly can prioritize the suitable repair.

Dig deeper: How to build FAQs that power AI-driven local search

Step 4: Repair in the suitable order

Sequence issues greater than folks count on. Skip forward, and also you’ll waste the work.

Eligibility first

• Can AI crawlers even attain the positioning? Examine robots.txt and any Cloudflare settings that is perhaps blocking bots by default. Cloudflare announced it could block AI crawlers by default for websites on its community, and loads of web site house owners by no means seen the setting had modified. 
• Clear up NAP consistency so the enterprise title, deal with, and telephone quantity match in every single place on-line. 
• Add and validate structured information, together with LocalBusiness, Group, FAQ, and Service schema markup. 

Dig deeper: A 90-day SEO playbook for AI-driven search visibility 

Belief indicators second

• Construct a stronger overview profile and more healthy common scores throughout Google Enterprise Profile, Yelp, and industry-specific websites. 
• Reply to evaluations and questions. AI notices engagement, not simply star scores. 
• Goal for cross-platform consistency, with the identical story mirrored throughout your web site, directories, social profiles, and press protection. Consistency indicators credibility.

Relevance final

Solely now does content material work make sense. 

• Construct real location-specific depth with metropolis pages that embrace actual native element, service pages with precise examples, and clear logistics info. 
• Skip cookie-cutter pages that merely swap in a special metropolis title.

The logic behind the order is straightforward. If crawlers are blocked or your NAP information is inconsistent, AI could by no means see the brand new content material. Optimizing relevance earlier than eligibility is like repainting a home no one can discover.

Step 5: Make the audit repeatable

One audit is a snapshot. Actual progress comes from repeating it on a schedule as a result of AI fashions replace continually, and what’s true in the present day may not maintain subsequent quarter.

Quarterly is an inexpensive cadence for many native companies. That’s usually sufficient to catch mannequin updates and measure whether or not your fixes labored with out turning the method right into a full-time job. 

Don’t obsess over clicks as the first success metric. That behavior carries over from conventional website positioning, however it doesn’t map cleanly to how AI solutions work. 

Look ahead to branded search elevate, extra telephone calls, and extra path requests from native profiles as an alternative. These indicators present whether or not AI suggestions are driving actual enterprise, even when there’s no click on to attribute. 

Throughout the audit itself, monitor point out charge, positioning, factual error charge, and quotation rely over time. If point out charge climbs however positioning stays buried beneath opponents, that’s a belief downside, not an eligibility downside, and it ought to form your priorities for the following quarter.

Evaluate every audit with the final one. If AI abruptly prefers totally different sources or phrases solutions in a different way, that’s mannequin drift price understanding, not a one-off glitch to disregard. 

Maintain monitoring competitor share of voice, too. If a rival is climbing steadily throughout the identical prompts, it’s price investigating earlier than they draw back. Typically it’s a real authority hole. Typically, they merely began responding to evaluations whereas everybody else stood nonetheless.

Dig deeper: Local SEO sprints: A 90-day plan for service businesses in 2026

Begin right here, not with content material

An area GEO baseline audit isn’t difficult. Benchmark the place issues stand, repair eligibility and belief points earlier than touching content material, construction your info so AI has a motive to quote the enterprise, and repeat the audit on a daily schedule.

The choice is guessing. In native search, guesswork reveals up as calls that by no means got here in and prospects who selected a competitor with out anybody understanding why. If no one’s truly checked out what AI says a few enterprise recently, that’s the place to start out.