How the Vispertise™ AI visibility audit works

The new reality of search

The decision increasingly happens before the click.

Rankings and website visits remain important, but they no longer show the whole journey. Search now answers, compares and recommends directly on the results page.

Classic SEO remains an essential foundation. But being indexable does not mean an AI system understands you correctly — or chooses you.

The new reality of search

68%of US Google searches ended without a click

SparkToro / Similarweb clickstream panel, January–April 2026 · Read the zero-click study

Clicks to a traditional result

With an AI summary8%8%

Without an AI summary15%15%

Pew Research Center, 68,879 Google searches, March 2025 · Read the Pew click study

Why this is an AI visibility problem

The answer engine is already making the shortlist.

AI search does not merely return links. It combines sources, resolves entities, compares options and often forms a recommendation before the customer visits a website.

01
Classic SEOCan the page be found?
Crawlability, indexation and ranking remain essential foundations.
02
GEOCan AI understand and trust the place?
Consistent entities, machine-readable facts and credible public evidence influence the generated answer.
03
Vispertise™Does AI mention and recommend you?
We measure recognition, recommendations, sources and missing evidence, then turn them into prioritized work.

The click did not disappear. It became scarcer — and your brand increasingly has to win before it happens.

The cited studies use different samples and methods. They show a consistent direction, not a universal forecast for every query or business.

See the whole audit journey

How your place details become measured answers and an improvement plan.

The free readiness check is followed by choosing an available offer. The paid audit builds a place profile and synthetic personas, measures answers, and turns evidence into analysis and trackable tasks.

Without enough supported context, measurement does not start. Missing measurement is not zero performance.

AI query fanout

See which searches are linked to an AI answer.

AI may run several searches for a single question. Query fanout analysis connects returned searches to the original question, available sources and verified content on your own website.

Original question
We start with the persona’s natural question. This is the measured question, separate from any subsequent AI search.
Observed searches
We show the search terms returned by the AI system. Undisclosed searches are not invented.
Source and answer excerpt
Where available, you can inspect the search together with its source and linked answer excerpt. Search results remain distinct from citations supporting the answer.
Owned content and action
We compare the search need with reviewed owned content. Sufficient evidence supports a concrete repair; uncertainty calls for further checking.

This is not AI’s hidden reasoning or a complete search log. Observability varies by system and answer. Missing search data does not prove that no search occurred. The analysis does not change the audit score or independently establish what caused a recommendation.

Evidence-led personas

We create synthetic people from the place profile, then ask as they naturally would.

Personas are modeled participants, not surveyed customers. The place profile supports their audiences, geography and language; the current offer states the exact measurement scope.

Profileaudiences derived from evidence

Questionsin the persona’s natural language

Answerswithin the audit’s fixed scope

01

Built from reviewed evidence

An owned site, declared public profile or public research can ground the profile. Sources, conflicts and reviewed-source gaps stay visible.

02

Rich geographic context

Age, life situation, decision role, home background, current country, region, city or justified district, search area and travel context shape each persona.

03

One natural language, one need

Each persona asks in one characteristic language. Questions are short and atomic instead of forced bilingual copies or multi-part synthetic prompts.

04

Scoring and information gaps

Discovery measurement does not name your place in advance. Scored questions use equal persona weighting; named checks and information-gap questions remain separate diagnostics.

Every persona is synthetic and labeled as such. The exact active question, repetition and AI-system scope is shown on the pricing page before purchase. See the active package

What the audit examines

Seven signals describe AI visibility together.

The overall score draws on seven measurement components. Query fanout and implementation suggestions provide separate interpretation; a missing measurement is not a zero score.

01

Mention visibility

How often does the place appear in answers to relevant questions that do not name it in advance?

02

Recommendation strength

How strongly does AI recommend and position the place in the answers where it is mentioned?

03

Claim accuracy

Which claims does the audit evidence support or contradict, and which cannot be verified?

04

Query coverage

Across which audiences and decision needs does the place meaningfully appear?

05

Competitive position

How does the place perform alongside alternatives relevant to the same decision need? Not every mentioned name is a direct competitor.

06

Source strength

What source support is observable in the measured answers? A citation alone does not establish that a claim is true.

07

Visual readiness

How usable and verifiable is the place’s visual presentation for audience decision needs? Missing and unverified visual evidence is also identified.

Choose the right depth

Which work does each solution support?

Compare place audits, tools for smaller teams and services built for hotels or restaurants. The starting point and the work you receive matter as much as the price: some products provide a one-time audit, others ongoing tracking or local profile management.

Capability	Vispertise™Local services	Local FalconLocal services	Mosaic AI Shopping LabHotels	Elev8ed InsightsRestaurants	OtterlyAISmall teams	RankscaleSmall teams	Peec AIMarketing teams	Semrush · Toolkit / Enterprise AIOMarketing teams	ProfoundMarketing teams
Typical user / focus	Places, hotels, restaurants and other service providers	Local businesses; Maps and AI visibility [10]	Independent hotels and hotel groups [12]	Restaurants; Southern California focus [13]	Solo marketers and small teams [14]	Small monitoring projects through to agencies [17]	Brand and content marketing teams [19]	SEO and marketing teams; enterprise options [1]	Small brands through to enterprise teams [20]
Starting point	Real place, sourced profile and decision situations	Business location and local search area [10]	Hotel property and competing hotels [12]	One restaurant and catering demand [13]	Brand and selected search prompts [14]	Brand dashboards and tracked search terms [17]	Brand, website and tracked prompts [3]	Brand and website visibility in AI answers [1]	Brand, topics and AI answers [6]
Questions and audiences	Profile-derived synthetic personas; equal persona weighting	Location-based keywords and prompts [10]	25 prompts from a hotel question library (Independent) [12]	Six buyer questions across three AI platforms [13]	Prompt research and custom tracking [14]	Custom terms, regions and tracking schedules [17]	Suggested or custom prompts; country settings [3]	Researched and custom tracked prompts [1]	Custom and generated prompts; audience and region views [6]
Answers, sources and competitors	Answer-level evidence; alternatives for the same decision need	AI mentions, citations and local competitors [10]	Competitor ranking, description accuracy and source gaps [12]	Sourced findings and named competing restaurants [13]	Brand mentions and link citations [14]	Visibility, citations and competitor benchmarking [17]	Original answers, mentions, sources and citations [4]	Mentions, sources and competitor analysis [1]	Answer analysis, citations, competitors and FactCheck [6]
AI query fanout	Returned searches and owned-content coverage; non-scoring	Not specified in the reviewed product FAQ [10]	Not specified in the reviewed plans [12]	Not specified in the reviewed report scope [13]	Generated query expansions; simulation described in documentation [15]	Query inventory, coverage and searched domains [17]	Documented fanout queries in the answer view [4]	Toolkit: estimated subqueries; Enterprise AIO: observed query fanout [8] [9]	Dedicated Query Fan Out analysis; persona patterns [7]
Guidance and implementation	Grouped tasks, responsible roles, evidence and completion criteria	Recommendations and Google Business Profile actions [10]	Action plans to share with your team [12]	Prioritized fixes and a personal video walkthrough [13]	GEO audit and recommendations [14]	Page audits and optimization insights [17]	Actions: prioritized owned and earned content guidance [5]	Strategic recommendations and technical audit; team implementation [1]	Content opportunities and Agents workflows [6]
Measurement over time	One-time audit snapshot; a separate run for a new measurement	Scheduled scans and trend reports [10]	Weekly scans in Independent; higher tiers add daily scans [12]	Audit plus one included 90-day re-check [13]	Daily tracking [14]	Hourly to monthly schedules; credit-based usage [16]	Daily runs and visibility trends [3]	Daily custom prompt tracking; other data refreshes vary [2]	Daily prompt runs and trend tracking [6]
Current starting price	according to the selected package	Starter: USD 24.99/month · 7,500 credits [11]	Independent: USD 299/property/month · founding offer for first 50 properties; availability to confirm [12]	USD 999 one-time · 90-day re-check included [13]	Lite: USD 29/month · 15 prompts; extra AI engines cost more [14]	Essentials: EUR 20/month; usage governed by credits [16]	Starter: EUR 85/month · 50 prompts, 3 models [19]	Toolkit: USD 99/domain/month; Enterprise AIO: custom quote [18]	Starter: USD 99/month · ChatGPT only, 50 prompts [20]

Checked: 12 September 2026, against official product pages and documentation; this is not an independent performance test. Prices identify entry plans with monthly billing unless marked one-time. EUR and USD are the currencies displayed by the provider, with no conversion; taxes, add-ons, regional prices and plan limits may change the total. Higher-tier features in this table are not necessarily included in the entry price. Semrush Toolkit and Enterprise AIO are separate offers. “Not specified” means the reviewed pages did not establish that capability. The current offer defines Vispertise™ scope and availability. Segment labels indicate principal focus, not exclusive customer eligibility.

Comparison sources

Know before you buy

The free check and full audit answer different questions.

Start without a card. A website is optional, and the customer never has to choose or approve a search area.

Free

Readiness check

Is the real place clear enough to enter the audit?

Name, category, city and country as identity anchors
Optional owned website or public profile
Immediate public-signal gaps
Audit-ready or fix-first decision

Full audit

AI visibility audit

Who may realistically care, what do they ask, what does AI answer and what should change?

Evidence-supported place profile and relevant synthetic personas
Natural questions and AI-answer measurement within the audit’s fixed scope
Analysis of visibility, claim accuracy, competitors, sources and visual evidence
Observable searches and owned-content coverage where sufficient data is available
Report and prioritized, assignable implementation tasks

Before you start

The answers that matter before ordering.

Operational details stay here instead of competing with the homepage message.

What exactly am I buying?

A one-time measured snapshot of AI answers, competitors, sources and evidence, plus a prioritized implementation plan. Exact purchasable scope is always shown on the pricing page.

How long does it take?

The active offer states its current delivery target. Timing depends on the released provider scope and the number of measured answers.

Do you guarantee that AI will recommend me?

No. AI answers change and no responsible audit can guarantee a future mention, ranking, recommendation or revenue result.

Is this recurring monitoring?

No. The current product is a one-time audit snapshot. A later run can measure change against a new point in time.

Can I use it without a website?

Yes. Name, category, city and country are the required identity inputs. You may add an owned website or public profile, but no submitted online source is also valid. Missing website is documented; the audit stops only when identity, geography or enough real decision context cannot be established safely.

Do I choose the search area?

No. City and country help identify the entity; they are not a customer-approved search scope. The profiler derives relevant local, regional, national or visitor contexts and records the evidence and confidence behind them.

Why is every question not translated into every audit language?

Each persona asks in one language that fits their background and situation. This avoids artificial duplicates and lets the model receive the persona’s natural language and geographic context together.

Can my developer or agency use the result?

Yes. Tasks include owner, priority, timeframe, evidence links and, when the released audit supports them, structured implementation files.

Does the audit show how AI searched?

Query fanout analysis shows searches returned by the AI system and available source links. It cannot see every internal step. Comparing them with owned-site coverage can suggest content repairs or further checks; it does not change the audit score.

Need the technical detail?

Go deeper without slowing down the homepage.

Inspect the customer evidence structure, the exact current offer and the machine-readable public overview.

From AI answers to evidence and concrete next steps.