The search engine for AI search.

Search your own brand the way your market does — across ChatGPT, Perplexity, Google AI Overviews, and Gemini — and see the answers you're winning, losing, and missing.

ChatGPT
Perplexity
Google AI Overviews
Gemini

4

AI answer engines tracked

ChatGPT, Perplexity, Google AIO, Gemini

28

Citation gaps prioritized

Sorted by impact and engine coverage

18

FAQ actions ready

Approve-first content for weak prompts

$50

Self-serve monthly plan

Weekly re-measurement included
The visibility funnel

See exactly where you drop out of the answer.

Every AI answer is a funnel. Neural Ops measures each stage — so instead of a single vague score, you see the precise step where the engines stop citing you, and the FAQ content that closes it.

Prompts tracked

The buyer questions we probe

40

Engines respond

ChatGPT · Perplexity · Google AIO · Gemini

4/4

Your brand mentioned

You appear somewhere in the answer

52%

Cited as a source

31%

Top of the answer

14%

An electrician in a hard hat wiring an electrical panel on a job site
Built for the work that matters

Your customers find contractors by asking AI. Be the answer.

Facility managers type "data center electrical contractor near me" into ChatGPT and Google and trust what comes back. We measure exactly how those engines describe you, publish the answers they cite, and prove the change - so the buyers with the work actually find you.

Analytics dashboards with growth charts on a laptop screen
One screen, the whole engine

AI search is the channel. We measure all of it.

Where you stand locally, which keywords and questions you own, who AI cites instead of you, the calls and visits AI sends you, and the content that moves the number - measured together and turned into a weekly plan. No vanity numbers; if it is not measured, it is not scored.

A small business team working together around a laptop
From first lead to exit

Grow a business a buyer would pay more for.

Recurring revenue captured in the CRM, a measurable AI demand channel, and marketing health a buyer can verify - the platform tracks the exact things that raise a business’s value, and shows you what your company could be worth today.

A weekly GEO loop with the benchmark moat underneath.

The first product is self-serve AI visibility. The durable advantage is the aggregate: anonymized cross-tenant benchmarks no single-brand tool can see.

The Neural Ops GEO loop

Onboard

Connect your site, define markets, and set success metrics.

Probe

Test real questions across top AI engines with failure isolation.

Report

See visibility, gaps, and opportunities prioritized by impact.

Publish

Create FAQ content from gaps and ship it after human approval.

Re-measure

Track movement weekly and compound your visibility.
Benchmarking preview

BrightPath Care

72/100

28%

Carewell Health

65/100

24%

HomeKind Care

61/100

19%

FamilyFirst Home Care

58/100

17%

Serenity at Home

45/100

8%

Simple pricing. Serious compounding.

One flat plan at $50/month: tracked prompts, weekly re-measurement, generated FAQ actions, and the posture report that explains what changed.

Start with a free audit
AI search, answered

How to show up in AI search

The questions people actually ask about getting a business named by ChatGPT, Perplexity, Google AI Overviews, and Gemini - answered straight, including the parts that are not in our interest to say.

How do I come up in AI search?
To come up in AI search you need three things: pages an AI engine can crawl and index, content that directly answers the question being asked, and enough corroborating signals elsewhere that the engine trusts the answer. Google states that a page must be indexed, crawlable, and eligible to be shown with a snippet before it can appear in AI features. Beyond that, the work is editorial rather than technical: publish a specific, first-hand answer to each question your buyers actually ask, keep your business details consistent everywhere they appear, and measure which engines name you and which do not. Neural Ops runs that loop by probing ChatGPT, Perplexity, Google AI Overviews, and Gemini with your tracked questions, showing exactly where you are absent, and generating the answer pages that close the gap.
What is AI search optimization?
AI search optimization, also called Generative Engine Optimization or GEO, is the practice of measuring and improving how AI answer engines describe and cite your business. Classic SEO competes for a position in a list of links. AI search optimization competes to be named inside a single synthesized answer, where there are only a handful of slots and no page two. The levers are authoritative first-party content that answers real questions, consistent entity signals so engines know who you are, crawlability for both search and AI crawlers, and topical depth in your category. It is measured with visibility rate, share of AI voice, and citation share rather than a keyword ranking.
How do I get my company listed in AI?
There is no directory to submit to and no paid placement that gets a company listed in AI answers. Engines assemble answers from content they have crawled and from sources they consider trustworthy, so getting listed means becoming the best available answer. In practice that is: make sure your site is crawlable and indexed, publish a dedicated page for each question buyers ask about your category, keep your name, address, category, and service area identical across your website and business profiles, earn genuine mentions on sites that already cover your industry, and then verify the result by asking the engines directly. Neural Ops automates the verification step, so you can see whether a change actually moved ChatGPT or Perplexity instead of guessing.
How do I know if my business shows up in ChatGPT or Google AI Overviews?
The only reliable way is to ask the engines the questions your buyers ask and record what comes back, repeatedly and over time, because AI answers vary between runs and between engines. A single manual spot check tells you very little. Neural Ops probes each engine on a tracked set of prompts, records whether your brand was mentioned, which competitors were named instead, and which sources were cited, then turns those runs into a visibility score you can track week over week. Google also reports AI-feature performance for your own site in Search Console.
Do I need an llms.txt file or special AI schema markup?
No. Google states directly that you do not need to create new machine-readable files, AI text files, or special markup for generative AI features, that there is no requirement to break content into small chunks for AI, and that structured data is not required for AI search. Structured data is still worth using for ordinary rich results, and it helps engines resolve who you are, but treat it as normal SEO hygiene rather than an AI-specific trick. The things that genuinely move AI visibility are crawlability, indexing, snippet eligibility, and content that is useful and specific enough to be worth quoting.
How is AI search optimization different from SEO?
They share a foundation and diverge at the output. Both require a crawlable, indexed, fast, well-structured site, so good SEO is a prerequisite rather than a competitor. The difference is what winning looks like. In SEO you win a position among ten links and traffic follows the click. In AI search the engine returns one answer that names perhaps three sources, so you are either in the answer or invisible, and a buyer may act on the answer without ever visiting your site. That changes what you measure: presence, share of voice, and citation share instead of rank, and it raises the value of content written to be quoted rather than skimmed.
What does an AI search optimization tool cost?
Neural Ops is a flat $50 per month, which covers your tracked prompt set, weekly re-measurement across ChatGPT, Perplexity, Google AI Overviews, and Gemini, and the reporting built on top of it. A free AI visibility audit runs the first scan against your site so you can see where you stand before paying anything.
How long does it take to show up in AI answers?
Expect weeks, not days, and treat any tool that promises a fixed timeline with suspicion. The engines must first crawl and index a new page, then it must accumulate enough trust to be selected as a source, and each engine refreshes on its own cadence. Pages that answer a narrow question with genuine specifics tend to get picked up fastest, while broad pages competing against established publishers take longest. This is the reason to re-measure on a schedule: it is the only way to tell the difference between a change that worked and one that has not landed yet.

Go deeper: how to appear in AI search, AI search optimization, getting your business listed in AI, and what AI search means for your business.

Built for teams that cannot afford loose data boundaries.

Senior care is the first vertical, so the frontend has to signal the same contract as the architecture: tenant isolation, PHI discipline, human approval, and benchmark safety.

PHI stays out of scope

AI visibility measurement needs no patient data; operational PHI stays out of the GEO plane.

Encrypted credentials

Tenant credentials are encrypted at rest, isolated by organization, and scoped to least privilege.

Strict tenant isolation

Every canonical entity is tenant-scoped so one customer cannot see or infer another customer.

Approve-first publishing

Generated FAQ content waits for human approval before anything goes live.

Compliance-ready roadmap

BAA-eligible hosting, audit trails, and SOC 2 controls are part of the production path.

Aggregate without exposure

Benchmarking uses anonymized aggregates only, never raw tenant data across customers.