AI search visibility tool for local businesses
An AI search visibility tool built to improve recommendations
An AI search visibility tool measures whether ChatGPT, Gemini, Perplexity, Claude, and Google recommend your business for the questions local customers ask.
RankSimply shows who is recommended instead, connects the result to the supporting local evidence, and repeats the measurement so you can prove what changed.
The recommendation loop
Move from an AI answer to an evidence-backed action plan.
01
Measure
Run the real recommendation prompts customers use across AI and Google in each target market.
02
Explain
See who is recommended instead and which GBP, review, citation, content, schema, and authority gaps separate you.
03
Improve
Prioritize the evidence gaps most relevant to the prompt and market instead of guessing at generic SEO tasks.
04
Prove
Repeat the same measurement and track recommendation share, citations, local visibility, and competitor movement.
Measure the prompts that can create a customer
RankSimply focuses on recommendation prompts, not vanity mentions. Track questions such as “best roofer near me,” “which law firm handles serious injury claims,” or “recommended dentist for implants” in the market where the customer is searching.
The result is a repeatable baseline: whether your business appeared, which competitors did, what sources supported the answer, and how that changed by platform and location.
A tracker tells you what happened. An engine explains what to do next.
Visibility monitoring is useful, but a chart alone does not earn the next recommendation. RankSimply connects the answer to the local trust and relevance surfaces a business can actually improve.
- Find category, service, location, and completeness gaps in the Google Business Profile.
- Compare review volume, recency, themes, and response patterns with recommended competitors.
- Identify inconsistent citations, missing service evidence, weak entity clarity, and content gaps.
- Prioritize changes by the prompts and markets where the recommendation opportunity is clearest.
Prove movement with the same measurement
No page, schema type, review, or citation guarantees inclusion in an AI answer. Recommendation systems synthesize multiple sources and can change their output between runs.
RankSimply therefore treats proof as a measurement discipline: repeat the prompt set, track recommendation share and cited sources, compare local visibility, and preserve the before-and-after evidence instead of claiming causality from one tactic.
When RankSimply fits
- ✓ Local service businesses that need to know whether AI recommends them in specific markets.
- ✓ Multi-location operators that need location-specific evidence instead of a blended national score.
- ✓ Agencies that need a defensible recommendation baseline and an action path for each client.
When it does not
- — Teams looking for guaranteed placement in an AI answer or an instant ranking switch.
- — Brands that only need a generic keyword rank tracker with no local evidence analysis.
Buyer questions
Frequently asked questions
What is an AI search visibility tool?
It measures whether and how a brand appears in AI-generated answers for a defined set of prompts. A useful local-business tool also records competitors, citations, platform, and market context.
Which AI platforms should a local business track?
Track the platforms customers actually use, typically ChatGPT, Google AI experiences, Gemini, Perplexity, and Claude. Results should remain separated by platform because their retrieval systems and answers differ.
How is AI visibility different from local rank tracking?
Local rank tracking measures positions in Google results or the local pack. AI visibility measures inclusion, recommendation language, cited sources, and competitor presence inside generated answers. Local businesses need both views.
Can structured data guarantee that an AI platform recommends my business?
No. Structured data can clarify visible facts, but it is only one signal among content, reviews, profiles, citations, authority, retrieval eligibility, and third-party consensus.
How does RankSimply prove improvement?
It preserves a prompt-and-market baseline, tracks the evidence gaps addressed, then repeats the same measurement to show changes in recommendation share, citations, competitors, and local visibility.