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SIGNAL by AiXCEL AI visibility audits & monthly monitoring

See what AI answers say about you.

Buyers now ask ChatGPT, Perplexity, Gemini and Google's AI Overviews before they visit a website. SIGNAL records what those answers say about your business, which sources they cite, and whether the visits they send become qualified enquiries.

Book a workflow mapping call →See the method
Observations, dated and repeatable. Scores are relative to the questions you track, never a universal benchmark.
Visibility across AI models
Sample data: Visibility across AI models, a heat-map table comparing how often ChatGPT and Google AI mention a bicycle brand versus seven competing bicycle brands, with a percentage in each cell.
Landing pages · AI traffic
Sample data: Landing Pages table showing which pages receive AI traffic, with top source engine, sessions, crawls and trend for each page.
SIGNAL product UI · sample dataset (bicycle brands), not an AiXCEL clientWhat to notice: in the sample matrix the featured brand leads on ChatGPT (37%) but a competitor leads on Google AI (31% vs 28%). The same brand reads differently by engine.

SIGNAL in 15 seconds

Motion summary of SIGNAL product UI · sample dataset, not an AiXCEL client · no sound
Why it matters

The first answer now comes before the first click.

When an AI answer recommends three businesses, the buyer may never see the rest. Being described accurately, and linked to a page that helps, decides who gets the enquiry.

Answers varyBy question, engine and day

The same business can be cited in one answer and missing from the next. We record each observation with its date, not a single score.

Sources decideEngines repeat what they can verify

Clear service pages, listings, reviews and third-party mentions are what answers draw from. Accurate, checkable facts matter more than tricks.

Clicks convertA citation needs a useful destination

A visitor from an AI answer arrives with a specific question. The page they land on has to answer it and offer a next step.

The visibility audit

An AI visibility audit, line by line.

Before anything changes, you get a dated baseline: where you appear, where you don't, what the answers say about you, and which sources they trust.

Visibility by engineWhere you appear, engine by engine.
Visibility by questionWhich buyer questions you win or miss.
Share of voiceHow often rivals are named instead.
Source mapPages and profiles the answers trust.
Accuracy checkWhat the answers get wrong about you.
Fix listRanked changes, each with an owner.

Real audits list every question, engine and date so you can re-check them.

Anatomy of an observation

What we read in every answer.

Each observation captures the exact question, the engine, the date, how you were described and which sources the answer leaned on.

Illustrative observation · fictional data
Example answer in a Perplexity-style layout · no real date or business
Who is the best physio for runners in Denver?
Several Denver clinics focus on running injuries. Juniper Physio offers a $49 first assessment1 and is often recommended for knee pain in runners2. Mile High Sports Rehab and Cherry Creek PT are also frequently mentioned3.
1juniperphysio.com/first-assessment2google.com/maps · reviews3denverrunners.org/clinics
1Accurate and citedYour offer is described correctly and your own page is the source.
2Strength from reviewsRunner-specific reviews carry the recommendation. Worth reinforcing.
3Competitors namedTwo rivals appear in the same answer via a community directory you are missing from.
The method

Five steps, repeated monthly.

The same questions, asked the same way, on a schedule. That is what makes a change visible and attributable.

01Choose the questionsThe questions your buyers actually ask, grouped by intent, service and location.
02Observe the answersChatGPT, Perplexity, Gemini, AI Overviews, Claude and Copilot, each dated.
03Read the sourcesWhich pages, listings and reviews each answer leaned on, and what it got wrong.
04Fix at the sourceAccurate, verifiable information on your pages and profiles. No gaming the models.
05Connect to demandLanding destinations, referrer tracking and CRM tags, so a citation can become a lead you can count.
The SIGNAL workspace

One workspace for every brand you track.

Add a project for each brand or client. Every project keeps its own tracked prompts, visibility trend and week-on-week change, and every figure traces back to dated observations you can open and check.

Projects · overview
Sample data: workspace overview for a demo group with eight projects: an average visibility score with a trend chart, and a card for each active project showing its 7-day change, sentiment and prompts used.
SIGNAL product UI · sample workspace (demo projects), not an AiXCEL clientWhat to notice: the average score is relative to the prompts tracked in that workspace, not a market-wide benchmark. Each project shows its own trend and 7-day change.
1A project per brand or clientKeep portfolios, agencies and multi-brand teams in one place.
2Trend and 7-day changeEach project shows where its visibility is heading, at a glance.
3Prompt usage in viewSee how many tracked prompts each project is using.
From citation to customer

A citation is only worth what it sends.

SIGNAL connects the answer to the visit, the enquiry and the CRM record, so you can see which questions produce qualified demand.

Answer observedA buyer question asked on an AI engine, recorded with its date.
You are mentioned or citedHow the answer describes you and which sources it used.
A visit from an AI referrerSessions that arrive from ChatGPT, Perplexity, Gemini and others.
An enquiry from that visitThe landing page turns a specific question into a next step.
Qualified in the CRMTagged by source, so a citation can become a lead you can count.
AI visitors · referral sessions
Sample data: AI Visitors panel showing 4,929 AI referral sessions, up 21.4%, with a trend line and a list of the landing pages that receive them.
SIGNAL product UI · sample dataset, not an AiXCEL clientReferral sessions over timeWhat to notice: one number (4,929 sessions, +21.4% in the sample) shows whether AI answers send visits and whether the trend is rising.
Landing pages · AI traffic
Sample data: Landing Pages table listing pages that receive AI traffic, with the top source engine such as ChatGPT, Perplexity, Gemini, Claude or Copilot, sessions, crawls and a trend percentage for each page.
SIGNAL product UI · sample dataset, not an AiXCEL clientWhich pages AI sends people toWhat to notice: each page has its own top engine, so you can see which pages AI actually sends people to, with sessions, crawls and trend.

Attribution depends on referrer data and your CRM setup; we show what is measurable and say what is not.

How to start

Begin with an audit. Keep what works.

The audit gives you a dated baseline and a fix list. The workspace keeps watching. A fix sprint is there if you want us to do the work.

Start here

AI Visibility Audit

A one-time baseline of how AI answers describe you today.

  • Question set built from your buyers and services
  • Observations across six AI engines
  • Source map: what each answer relied on
  • Ranked fix list with owners
Book a workflow mapping call →
Monthly

Visibility monitoring

The same questions re-observed every month, with changes explained.

  • Dated observation log you can open
  • Change notes when answers move
  • AI-referrer visits and CRM attribution
  • Monthly review call
Optional

Fix sprint

AiXCEL implements the fix list on your site and profiles.

  • Service and offer pages buyers can verify
  • Listings, schema and profile corrections
  • Landing pages for AI-referred visitors
  • Tracking into HubSpot or HighLevel
Straight answers

What SIGNAL won't promise.

AI search is new and noisy. We would rather be precise about it than sell certainty nobody has.

×No guaranteed placementNo one controls what a model answers. We improve the evidence engines draw on, and measure what changes.
×No universal benchmark scoreAny score in the workspace, such as the average visibility score, is relative to the prompts you track. It is not a market-wide benchmark. Answers vary by question, engine, location and day, so we report observations with their dates.
×No tricks aimed at modelsOnly accurate, verifiable information about your business. It also helps the humans who read it.
×No attribution we can't showWhere referrer data is missing, we say so instead of filling the gap with guesses.
SIGNAL audit

Find out what AI tells your buyers.

Bring your services, locations and three competitors. We'll show you how a first observation run is set up. 30 minutes with Ahmad; you leave with a plan.

Book a workflow mapping call →