When AI Gets It Wrong: Correcting GEO and Reputation Mismatches for Houston Contractors

You ask ChatGPT or Perplexity for "best plumber in Katy" and a competitor shows up with an old phone number in the answer—or your own business is cited but with the wrong city or a number you retired last year. Homeowners who follow that lead may call the wrong place or get a disconnected line; you never see the lead. AI tools do not let you edit their answers. What you can do is fix the sources they use: your Google Business Profile, your website, and the directories and review sites that feed into AI. This post is about correction workflows—what to do when AI gets your NAP, service area, or other details wrong—and how to run snapshot checks over time so you can see whether your fixes correlate with better, more accurate AI answers. For background on how AI uses reviews and GBP to recommend local businesses, see GEO Meets Reputation; for building NAP consistency from the ground up, see local citation building and NAP consistency.

Key Takeaways

• AI answers are built from your GBP, website, and directories—fix those first when AI shows wrong phone, wrong service area, or outdated info.
• Snapshot checks: run the same prompts in ChatGPT and Perplexity monthly, log cited or not and whether NAP and city are correct, so you can spot drift and tie fixes to later results.
• NAP and service area consistency across all platforms give AI one clear story and reduce the chance it mixes old and new data.
• After citation and GBP updates, re-run your snapshot and compare to prior months to see if corrections correlate with more accurate AI answers; add "How did you find us?" with an "AI search" option to tie lead source to booked jobs.

Why This Matters for Houston Contractors

When someone gets a recommendation from ChatGPT or Perplexity and the phone number or service area in the answer is wrong, that lead is lost or sent to the wrong place. Contractors already manage dispatch, service radius, and what the office tells callers; when AI says something different—a city you no longer serve, an old number, or a service you dropped—you have no way to change the answer in real time. The only lever is fixing the underlying data and then checking whether AI answers update over time.

Measuring that matters: if you run the same prompt every month and log the result, you can see whether your citation and GBP corrections correlate with fewer wrong NAP or wrong-city citations in AI. That turns "what AI says" into something you can track and improve instead of a black box.

How Correction Workflows Work (Mechanics)

Inputs, triggers, actions, outcomes, and how to avoid common failures.

Inputs

• Current NAP and service area on GBP, your website, and major directories (Yelp, BBB, etc.).
• Snapshot log: the prompts you run, the date, and whether you were cited and whether the details in the AI answer were correct.
• Internal source of truth: actual service area, phone, hours, and services your office and dispatch use.

Triggers

• You run a snapshot and see wrong NAP, wrong service area, or outdated services in the AI answer.
• A lead says they found you via ChatGPT or Perplexity but the info they saw was wrong (e.g. old number, wrong city).
• You change phone, service area, or hours and need to push that change everywhere so AI and search stay in sync.

Actions

• Correct NAP and service area on GBP and your website first, then on key directories, so every source matches your internal truth.
• Run 2–3 fixed prompts in ChatGPT and Perplexity on a set day each month; record whether you are cited and whether the answer shows correct NAP and city.
• After making corrections, run the same snapshot again in a few weeks and compare to prior logs to see if wrong details decreased.
• Add "AI search" or "ChatGPT/Perplexity" to your "How did you find us?" options and log it in your CRM so you can measure lead quality and booking rate for AI-sourced leads.

Outputs

• One consistent NAP and service area everywhere AI and search might pull from.
• A log of what AI says about you over time so you can see drift and the effect of corrections.
• Attribution for AI-sourced leads so you can tie GEO correction work to capture and booked jobs.

Failure Modes

• Fixing only one place: You update GBP but leave an old number on Yelp or your site; AI may still cite the wrong source.
• Never re-checking: You fix citations but do not run the snapshot again, so you do not know if the AI answer improved.
• No snapshot log: Without a simple log (date, prompt, cited or not, correct or wrong details), you cannot see trends or tie fixes to later results.
• Ignoring service area drift: You expand or shrink service area but do not update GBP and site; AI continues to cite the old coverage.

Safeguards

• Audit NAP and service area on GBP, website, and at least 2–3 key directories quarterly; fix every mismatch in one pass.
• Keep a single "source of truth" document (phone, hours, cities/ZIPs served) and use it when updating any platform.
• Schedule snapshot checks on the same day each month and log results in a spreadsheet so you can compare before and after corrections.
• When you change phone, area, or hours, update GBP and site the same day and add directory updates to a short backlog so they are done within a few weeks.

Fastest Wins

Start with one snapshot and one correction pass, then make both recurring.

Phase 1: First Snapshot and Fix List

• Pick 2–3 prompts (e.g. "best [your service] in [your city]," "reliable [service] near [city]"). Run them in ChatGPT and Perplexity. Note whether you are cited and whether the phone, city, and services in the answer are correct.
• Compare GBP, your website, and one or two directories (e.g. Yelp, BBB) for name, phone, address or service area, and hours. List every mismatch.
• Correct GBP and your site first so they match your real NAP and service area; then fix the directories you care about most.

Phase 2: Log and Re-run

• Log the first snapshot (date, prompts, cited or not, correct or wrong details) in a simple spreadsheet. Set a monthly reminder to run the same prompts and add a new row.
• Re-run the snapshot 2–4 weeks after your correction pass. Compare to the first result: did wrong NAP or wrong city in the answer decrease?
• Add "AI search" or "ChatGPT/Perplexity" to your lead source options and train staff to ask "How did you find us?" and log the answer.

Phase 3: Tie to Lead Source and Keep Consistency

• Review lead source reports periodically; compare booking rate for AI-sourced leads to other channels so you know whether correction and visibility work are paying off.
• When you change service area, phone, or hours, update GBP and site immediately and add directory updates to your backlog; run the next snapshot as usual and note any remaining errors.
• Keep NAP consistency as an ongoing habit so new directories or pages do not reintroduce drift; revisit your GEO and reputation alignment so snapshot checks stay meaningful.

What to Measure

Focus on snapshot accuracy and lead attribution, not vanity metrics.

• Snapshot result (monthly): For each prompt, log whether you are cited and whether the NAP and service area in the answer are correct. Track how many "wrong NAP" or "wrong city" answers you see over time.
• Change after corrections: Compare snapshot results from before and after your citation and GBP fixes. A reduction in wrong details in AI answers can indicate your correction workflow is working.
• Lead source "AI search": Count of leads and, where possible, booking rate for leads who found you via ChatGPT, Perplexity, or "AI search," so you can tie GEO correction to capture and booked jobs.
• NAP and service area drift: Quarterly check that GBP, site, and key directories still match on name, phone, and service area.

Hypothetical example: A plumbing contractor in the Houston metro runs "best plumber in Sugar Land" in ChatGPT and Perplexity and sees their business cited with an old phone number. They update GBP and their website to the current number, fix the same number on Yelp and BBB, and log the snapshot. Four weeks later they run the same prompt again; ChatGPT now shows the correct number, Perplexity still shows the old one. They request an update on the remaining directory Perplexity may be using and run the snapshot again the next month. They add "AI search" to their lead source dropdown and see a handful of leads per month from it; over time they can compare booking rate for those leads to other sources.

Local SEO and GEO Tie-In

Correcting what AI says is a follow-up and measure step: you fix the data, run snapshot checks, and see whether AI answers improve. NAP and service area consistency matter for both traditional local search and for generative engines—same name, phone, and coverage everywhere gives AI one clear story and reduces wrong or outdated citations. Keeping a snapshot log and lead source attribution ties that work to outcomes: you see whether corrections correlate with better AI answers and whether AI-sourced leads turn into booked jobs in your Speed-to-Lead pipeline.

Frequently Asked Questions

What do I do when ChatGPT or Perplexity show wrong info about my business?

You can't edit AI answers directly. Fix the sources they use: correct NAP and service area on your Google Business Profile, website, and major directories so they all match. Run the same prompt again after a few weeks and log whether the answer changed. AI answers can change as those public sources are re-crawled or updated; consistent, accurate data increases the odds the next answer is correct.

How do I run a snapshot check to see what AI says about my business?

Pick 2–3 prompts (e.g. "best plumber in Katy," "AC repair near Sugar Land"). Run them in ChatGPT and Perplexity on a set day each month. Note whether you're cited, how you're described, and any wrong details (wrong phone, wrong city, old services). Log the result in a simple spreadsheet so you can see drift over time and tie fixes to later snapshot results.

Why does NAP consistency matter for fixing what AI says?

AI systems often rely on publicly available sources like your Google Business Profile, your website, and major directories (for example Yelp or BBB). If name, address, or phone differ between them, AI may mix sources and surface the wrong number or an old address. One consistent NAP and service area everywhere gives AI one clear story and reduces the chance of wrong or outdated citations.

How long until AI answers update after I fix my citations and GBP?

AI systems don't refresh on a fixed schedule you can control. After you correct GBP and key citations, run your snapshot check again in a few weeks and then monthly. Track what changed so you can see whether corrections correlate with better or more accurate AI answers over time.

What should I measure to know my correction workflow is working?

Log snapshot results monthly: cited or not, and whether NAP and service area in the answer are correct. After citation and GBP fixes, compare later snapshots to earlier ones to see if wrong NAP or wrong city decreased. Add "How did you find us?" with an "AI search" option so you can tie lead source to booked jobs and see if AI-sourced leads improve after corrections.

Written by the KAJ Analytics team — AI consultants focused on Speed-to-Lead systems, content workflows, and local visibility for contractors in Katy & West Houston.