01
Observed baseline
First-party Promptence pages were discoverable, while sampled exact-brand searches did not surface a mature independent Promptence footprint.
AI RECOMMENDATION INTELLIGENCEobserve → explain → act → prove
See who AI recommends instead of you — and what to change.
See whether AI recommends your company, who appears instead, and which sources support the answer. Get clear next steps and compare before and after changes.
MEASURE
real buyer answers
FIX
approved changes
PROVE
the same intent after
FROM QUESTION TO DECISION
Illustrative journey · not a measured AI resultSee the answer. Understand the opportunity.
Illustrative example01 / 04
A buyer might ask
Which company should I choose for my needs?
Possible recommendation · Illustrative example
Your live report replaces this illustration with observed answers.
Only observed answers and verifiable sourcesFailures and missing signal never become ‘zero visibility’
EVIDENCE, NOT A SCORE
See the decision trail, not just a visibility number.
Promptence keeps the buyer question, observed AI answer, source evidence, brand outcome, approved change and comparable remeasurement connected in one chain.
These fields populate only from an observed scan — without decorative scores or invented domains.
- 01
Buyer intent
The original question, market, category and context are retained as frozen intent.
- 02
AI answer
The answer remains tied to the exact AI surface and model.
- 03
Sources
A domain appears only when a source is actually returned in the observation.
- 04
Brand decision
Brand presence, competitors and missing signal are stored separately.
- 05
Diagnosed gap
A hypothesis is not presented as fact: the diagnosis stays tied to evidence.
- 06
Approved change
Only an approved change with scope and ownership enters the change set.
- 07
Remeasure
The same intent is measured again; delta uses comparable observations only.
PROMPTENCE MEASURES ITSELF
A public baseline before the success story.
On 10 September 2026, Promptence published a dated visibility baseline for its own brand before broader authority and distribution work. The baseline stays public so future gains must be shown as deltas, not rewritten history.
Open the public baselineDogfood case · real dated observation · not a fabricated customer result
02
Changes after baseline
Structured data, About and Methodology pages, sitemap and llms.txt references, internal trust links, and dedicated AI-visibility education pages were added.
03
Next proof
Remeasure the dated sample and report what changed — including no change — without turning a narrow sample into a universal claim.
LOCAL AI VISIBILITY
When location changes the answer, measure the geographic context.
Promptence measures whether a local business enters AI recommendations for city, district, nearby and service-area buyer questions. It records who appears instead, what source evidence is exposed, and how the same demand changes after improvements.
Local search signals are inputs. AI recommendation visibility is the outcome we measure.
Maps, reviews, directories, first-party pages and local listings are part of the public evidence ecosystem. Promptence measures whether that combined footprint translates into observed AI recommendations — then helps diagnose the gaps.
SIGNAL → RECOMMENDATION
What Promptence adds on top of local SEO
Local SEO, maps and reviews help create public signals. Promptence tests the next layer: when a buyer asks an AI system who to choose, does your business enter the recommendation set, which competitors appear instead, and what evidence can be observed behind that answer?
LOCAL BUSINESS EXAMPLES
Restaurants & cafesClinics & dentalSalons & wellnessHotels & staysRetail & showroomsAuto servicesReal estateHome & professional services
LOCAL INTELLIGENCE MATRIX
Populated by a live local scanGeographic context
01City, district and service area come from the scan input.
Observed shortlist
02Brand and competitor names appear only after an observed answer.
Source evidence
03A domain appears only when the provider returns source evidence.
Define the local intent
Measure questions shaped by city, district, service area and nearby intent.
Capture the recommendation set
See which businesses AI recommends, who replaces you, which sources are exposed and whether your brand enters the shortlist.
Remeasure the same context
Improve the relevant public signals, then remeasure the same geographic demand and compare persisted before/after evidence.
Local AI Visibility
Promptence measures observed AI behavior. It does not guarantee rankings, citations, recommendations, leads or revenue.
EXECUTION CONTROL
Promptence can implement approved changes — then verify what actually shipped.
Self-serve plans focus on measurement, monitoring and diagnosis. A Managed Implementation Sprint turns an evidence-backed gap into an approved change set, executes it across controllable brand surfaces, verifies publication and remeasures the same buyer intent.
See managed implementation01
Measure
02
Diagnose
03
Approve
04
Implement
05
Verify
06
Remeasure
CHANGE SET
CS-024 / ENTITY-SOURCE
STATE
APPROVED
CONTROL
EXECUTION READY
AUTHORIZED EXECUTION SCOPE
01
Website and CMS changes: content, page structure, FAQs, comparison and service pages
IN SCOPE02
Buyer-facing positioning, evidence, entity clarity and source signals
IN SCOPE03
Technical and structured-data changes inside the approved scope
IN SCOPE04
Authorized brand profiles and other controllable digital surfaces where access is available
IN SCOPEVERIFICATION
PUBLICATION VERIFIEDDoes Promptence actually implement the changes?
Yes. A Managed Implementation Sprint can include hands-on implementation across the website and other authorized digital surfaces when the required access is available. Self-serve customers can also implement Promptence recommendations with their own team.
Promptence operates only on approved surfaces with authorized access. Third-party media, closed AI systems and external websites remain outside our control; rankings, citations and recommendations are measured, not guaranteed.
NEXT
Verify
THEN
Remeasure
THE BUYER JOURNEY CHANGED
Your next customer can form a shortlist before ever opening your website.
AI answers are becoming part of research and vendor selection. The commercial question is no longer only whether you rank in search — it is whether your company is present, credible and competitive inside the answers buyers use to decide.
Invisible demand
High-intent questions can happen without creating a website visit, so ordinary analytics may never show the missed opportunity.
Competitor capture
A competitor can repeatedly occupy the recommendation slot even when your product or service is a legitimate fit.
No proof after changes
Without a baseline and repeatable measurement, teams cannot tell whether content, authority or technical changes actually moved the answer.
HOW PROMPTENCE WORKS
One commercial loop from observation to measurable follow-up.
Promptence keeps every stage explicit so you can see where data ends and a recommendation begins.
01
Discover
Define the market, category and buyer-intent questions that represent a real purchase decision.
02
Measure
Run repeated provider-specific observations and retain answer text, citations, mentions, failures and provenance.
03
Diagnose
Compare recurring competitors, source patterns and your own website evidence before prioritizing a cause.
04
Improve + remeasure
Approve the change set, implement what is supported, then measure the same intent again to prove the delta.
WHAT YOU ACTUALLY GET
Not another generic SEO report. A working evidence package for a commercial decision.
The output is designed to be useful to a founder, marketing lead, agency or operator — not just readable by an SEO specialist.
AI recommendation baseline
A provider-specific picture of where your company is observed, missed or inconsistently present.
Competitor pressure map
Which companies repeatedly appear for the same buying questions and where the signal is strongest.
Prioritized change set
A short list of evidence-backed actions separated from assumptions, with approval before execution.
Before / after proof
The same buyer intent measured again after implementation, with failures and conflicting evidence still visible.
BUILT FOR HIGH-VALUE CHOICE
Best when one new customer is worth enough to care who AI recommends.
Start with one market and one buying decision. Expand only after the measurement is useful.
B2B SaaS
Real estate
Clinics & aesthetics
Professional services
Education
Hospitality
Agencies
Technology companies
EVIDENCE BEFORE CLAIMS
The sales promise is deliberately narrower than the product ambition.
Promptence can measure, diagnose, help execute and remeasure. It does not control third-party AI systems and does not sell guaranteed rankings.
Provider provenance
API measurements remain labelled as the exact provider/model surface that produced them.
Failures stay failures
A timeout or failed observation is not silently converted into zero visibility.
No invented causality
A competitor mention is evidence of an observation, not automatic proof of why it happened.
FAQ
Questions a buyer should ask before paying for AI visibility work.
Run the free checkIs this the same as SEO?+
No. Search remains important, but Promptence focuses on how your company is represented inside measured AI answer surfaces and how that changes after approved work.
Does Promptence guarantee ChatGPT or other AI rankings?+
No. No third party can honestly guarantee a position inside an external AI system. Promptence sells measurement, evidence, implementation quality and remeasurement.
Do you need access to my website for the free check?+
No. The free check uses company, domain, market and category context. Deeper implementation access is requested only when a scoped change actually requires it.
Can I start without a subscription?+
Yes. The free signal is the smallest step. A full audit can be purchased as managed work, and monitoring becomes useful when you want ongoing measurement.
Which AI providers are measured?+
The product has provider-specific API adapters for OpenAI, Gemini, Anthropic and Perplexity. A provider is only presented as measured after a completed persisted run exists for that provider.
What happens after the audit?+
You receive evidence, competitor context and prioritized actions. You can implement them yourself, work with Promptence on execution, or keep only the monitoring layer.
PRICING
Choose what you need to know — and what you need to change.
Free gives you an initial signal. Monitor tracks change. Growth diagnoses why you win or lose. Pro adds governed execution and before/after verification.
Built for local businesses too. Start with the free Local Scan. Monitor is for recurring change detection; Growth is for root-cause and source diagnosis; Pro is for teams that want governed implementation and verification. Business size alone does not determine the plan.
FREE SIGNAL
Free AI visibility check
One company · small live buyer-intent sample
PLATFORM · SELF-SERVE
OBSERVE
Monitor
Track whether AI recommendation visibility changes, which competitors appear instead, and how the same buyer-demand portfolio moves month to month.
Best when you need a stable monthly watch on one company, market or local demand set.
$39/mo
- 1 company / workspace
- 25 frozen buyer-intent queries
- 1 independent model Recall surfaces
- 5 × 1 grounded source-backed queries
- Monthly comparable monitoring on the same portfolio
- Local city and district buyer-intent queries included — no extra plan
DIAGNOSE
Growth
Go beyond monitoring with full root-cause diagnosis, source intelligence, a prioritised remediation backlog and controlled remeasurement.
Best when you need to understand why competitors win and what source or entity gaps to fix next.
$129/mo
- 1 company / workspace
- 50 frozen buyer-intent queries
- 3 independent model Recall surfaces
- 10 × 3 grounded source-backed queries
- Monthly comparable monitoring on the same portfolio
- Full root-cause diagnosis and source intelligence
ACT + PROVE
Pro
Turn diagnosis into approval-gated implementation, verification, controlled remeasurement and before/after evidence.
Best when diagnosis must move into an approval, implementation and verification workflow.
$349/mo
- 1 company / workspace
- 50 frozen buyer-intent queries
- 4 independent model Recall surfaces
- 20 × 3 grounded source-backed queries
- Monthly comparable monitoring on the same portfolio
- Full root-cause diagnosis and source intelligence
MANAGED WORK
This is optional scoped team work, not a required product tier. It covers research, diagnosis, approved implementation and controlled remeasurement, and is appropriate for a local business only when the scope and economics justify managed execution.
MANAGED WORK
MANAGED WORK
Free gives you an initial signal. Monitor tracks change. Growth diagnoses why you win or lose. Pro adds governed execution and before/after verification.
MANAGED WORK
AI Demand Audit
Broader earned-AI measurement, competitor evidence, paid-opportunity mapping and prioritized diagnosis.
from $1,500
MANAGED WORK
Implementation sprint
Approved changes, execution support and controlled remeasurement.
from $3,500
MANAGED WORK
AI Demand & Revenue Infrastructure
Earned + paid AI measurement, implementation infrastructure, attribution and operating cadence for teams that need Promptence embedded into growth operations.
from $7,500
Checkout confirms the current catalog price. If the live catalog is temporarily unavailable, approved launch prices remain visible instead of showing a technical outage.
FULL AI VISIBILITY AUDIT
Give us one company, one market and one commercial goal.
We scope the audit around a real buying decision, then return evidence, competitor context and a prioritized next move instead of a generic report.
01
Scope
Market, category and buyer intent
02
Measure
Provider-specific repeated observations
03
Deliver
Evidence, priorities and next actions
READY WHEN YOU ARE
If AI helps buyers choose, you should know whether it chooses you.
Start with a free signal. Pay only when the evidence justifies deeper measurement, implementation or monitoring.