What does being invisible to AI cost your business?

Your next customer is already asking ChatGPT, Gemini, or Perplexity who to hire — and when the assistant names a competitor, you don't lose a click, you lose the customer and every referral behind them. Citations compound, so the businesses getting named today widen the gap every month you wait. Most businesses we audit are absent from 70% or more of high-intent prompts and never know it. The real question isn't what AI visibility costs — it's what invisibility is already costing you.

What is AI visibility, and why does it matter for my business?

AI visibility is whether ChatGPT, Claude, Gemini, Grok, and Perplexity name your business when a customer asks them for a recommendation. More buyers now ask an AI assistant instead of scrolling Google, and the assistant answers with a short list. If you are not on that list, you are invisible at the exact moment of intent. Deep AI Solutions measures your mention rate across all five assistants and engineers the entity, schema, and citation signals that get you named.

How do I get my business recommended by ChatGPT or Gemini?

AI assistants recommend businesses they can retrieve, trust, and verify, driven by consistent entity data (your name, address, and phone everywhere), schema.org structured data, and third-party citations on the sources they actually read (Bing, Reddit, industry directories, review sites), not by Google ad spend. We audit where you are absent across 50 high-intent prompts, then build those signals. Mention-rate movement typically shows in 2 to 4 weeks and compounds over 60 to 90 days.

How is this different from SEO?

SEO optimizes how Google ranks your website. Deep AI Solutions optimizes how AI assistants describe you when a customer asks for a recommendation. Different signals (entity consistency, schema, third-party citations), different channels (Bing index, Foursquare, industry directories, Reddit, Medium), different measurement (mention rate, not keyword rank). We complement your SEO. We don't replace it.

How fast do results show up?

Bing Places and NAP cleanup typically yield measurable mention-rate movement within 2 to 4 weeks. Comparison-guide content shows results in 4 to 6 weeks. Schema and citation work compounds over 60 to 90 days. Every month you receive a delta report that tracks the curve, not the guess.

What industries do you serve?

Deep AI Solutions is the parent brand for a growing family of industry verticals — plastic surgery (deepcontour.app), HVAC (deephvac.io), roofing (deeproofing.app), senior living (deepvision.care), and legal — each running on its own dedicated platform. The AIR methodology and audit engine are identical across every vertical; only the prompt bank, citation sources, and pricing change to fit each industry's economics. New verticals launch on their own site as we expand, so pricing lives on each vertical's platform, not here.

What's your guarantee?

We guarantee the work, not specific mention-rate outcomes. Every month you receive the audit, the implementation log, and a strategy call. If we don't deliver, you get the month free. Your guarantee on results is the month-to-month structure. Cancel anytime, no contract.

What about exclusivity?

Implementation tiers are sold one-per-ZIP-code, per industry. When you sign at an implementation tier, no other business in your industry and ZIP can buy in with implementation. The territory is locked for as long as your subscription stays active. Monitoring-only tiers do not include exclusivity, because no implementation work is done. If a competitor in your ZIP is already locked in, you'll see that on the audit form before you reach checkout. First mover takes the ZIP.

What does the audit actually cost me?

Nothing. Send us your business name, city, and website. We run the full 50-prompt audit across all five AI assistants — ChatGPT, Claude, Perplexity, Gemini, and Grok (the in-car assistant in every Tesla) — and email you the PDF report inside 3 business days. There is no upsell trap and no follow-up sequence after, just the report. Most businesses we audit are absent from 70% or more of high-intent prompts. You'll know exactly where you stand.

Deep AI Solutions · AI entity infrastructure

Build the intelligence. Become the answer.

The intelligence layer behind AI discovery.

Deep AI Solutions builds the infrastructure that helps businesses become the answer when people ask AI what to buy, who to trust, and where to go.

Run Your AI Visibility Audit Explore AIR

6 U.S. patent applications filed · Houston, TX · Month-to-month

01The problem

Your competitors are being named by ChatGPT.
You’re not.

Traditional SEO optimizes how Google ranks your website. Deep AI Solutions engineers how AI assistants name and describe your business when your customers ask for a recommendation. We call the discipline AIR, AI Retrieval Intelligence, backed by six U.S. patent applications. Different signals. Different sources. Different game.

0%: of local searches now return an AI-generated answer instead of the traditional ten blue links.
0%: of US consumers used AI for local business recommendations in 2026, up from six percent one year earlier.
0%: of Google AI Mode sessions end without a single click. Visibility inside the AI answer is the only impression.

Live AI visibility audit · recorded sample

Deep AI · live audit

#aud_27431

Prompt

Querying 5 assistants

ChatGPT
Claude
Perplexity
Gemini
Grok

ChatGPT response

The brand film · 2:59

Someone is asking an AI who to trust right now.

Three minutes on how the five major AI engines decide which business gets named, why that one sentence is now the entire impression, and how we engineer the answer until the name they say is yours.

02Live · 5 frontier models · parallel

AI Visibility Scanner.

Dispatch ten buyer-intent prompts to ChatGPT, Claude, Gemini, Grok, and Perplexity in parallel. Fifty responses, scored for visibility, machine trust, citation density, and entity completion in under a minute.

Model dispatch

idle

01ChatGPT
ready
02Claude
ready
03Gemini
ready
04Grok
ready
05Perplexity
ready

Prompts: 10
Responses: 50
AI Visibility: —
Machine Trust: —
Citation Density: —
Entity Completion: —

03Entity Completion Engine · live

Generate the structured trust layer
AI systems read.

Submit your business once. Get publish-ready schema.org Organization + FAQPage JSON-LD, an Entity Completion Score, and the structured fields AI assistants actually retrieve.

Entity pack

awaiting input

Organizationname · url · address · telephone
sameAsthe profile URLs models cross-check
areaServedcity and service area
knowsAboutthe services you actually offer
FAQPagequestion and answer pairs, publish-ready

Submit the form and the pack renders here with its Entity Completion Score.

04SEO vs. Answer Engine Optimization

Different game. Different scoreboard.

Keep your SEO. We don’t replace it. We sit alongside it, reading and shaping the inputs that AI models actually parse before they pick who to recommend.

Dimension

Traditional SEO

Deep AI Solutions

Optimizes for

SEOGoogle ranking

Deep AIBeing named in the answer

Primary signals

SEOKeywords, backlinks, page speed

Deep AIEntity consistency, schema, third-party citations

Data sources

SEOGoogle index

Deep AIBing index, Foursquare, Healthgrades, Reddit, Medium

Measurement

SEOKeyword rank

Deep AIMention rate · share-of-voice

Click model

SEO10 blue links

Deep AIZero-click recommendation

Time to first signal

SEO60–90 days

Deep AI2–4 weeks (NAP + schema)

Compounding pattern

SEOPlateau after rank achieved

Deep AICitations compound month over month

05AIR · AI Retrieval Intelligence

AIR
The operating system for becoming the answer.

Then

Search engines ranked websites.

Now

AI engines select entities.

AIR is the operating framework that decides whether ChatGPT, Gemini, Claude, Perplexity, Copilot, and Siri trust your company enough to recommend it. Every territory has one answer. The objective is to become that answer.

ChatGPT
Gemini
Claude
Perplexity
Copilot
Siri

The four systems of AIR

Identity → Evidence → Measurement → Ownership

01
Entity Authority™
The plumbing of being believed.
Input
- Entity recognition
- Structured data
- Knowledge graph
- Business verification
- Credential validation
- Brand consistency
System
Before AI recommends you, it has to understand who you are. We engineer the machine-readable identity layer that establishes trust.
Outcome
If AI cannot confidently identify you, it cannot confidently recommend you.
02
Citation Dominance™
The goal is not visibility. The goal is citation gravity.
Input
- Authoritative sources
- Publications
- Associations
- Directories
- Registries
- Local references
System
AI does not invent authority. It retrieves it. We place your company inside the sources, publications, associations, directories, and registries AI systems use to judge credibility.
Outcome
When AI searches for evidence, your company becomes the evidence.
03
Retrieval Intelligence™
No guesses. Only receipts.
Input
- ChatGPT
- Gemini
- Claude
- Perplexity
- Copilot
- Voice assistants
System
What AI says about your company changes every week. Most businesses never know. AIR continuously monitors the answer engines and measures where you stand.
Outcome
Mentions. Rankings. Recommendations. Competitive displacement. Retrieval share.
04
Territory Ownership™
One territory. One authority. One answer.
Input
- Geo-semantic signals
- Local entity graph
- Service-area authority
- Per-ZIP exclusivity
System
The future of search is local. When someone asks who is the best near them, AI must choose. We engineer every local signal needed to make that choice you, for every ZIP you serve.
Outcome
Not page-one rankings. Category ownership.

The AIR mission

SEO helped businesses rank. AIR helps businesses become the answer.

The companies that win the AI era will not be the loudest. They will be the most retrievable.

Run Your AI Visibility Audit

06Capabilities

What your subscription actually does.

Five capabilities. Productized, not bespoke. The same engagement for every client, which is what makes it affordable and what makes the results compound.

01
250-prompt multi-AI audit
Fifty real customer prompts run in parallel across ChatGPT, Claude, Perplexity, Gemini, and Grok, including the in-car assistant in every Tesla. We measure mention rate, citation rate, competitor share-of-voice, and category blind spots. Polished PDF report shipped within three business days.
02
Directory + schema infrastructure
Bing Places, Foursquare, Healthgrades, schema markup, NAP cleanup across fourteen-plus directories. The fundamentals AI models actually parse.
03
Authority content & citations
One quarterly Medium comparison guide. One press release per quarter. The content sources AI models cite most.
04
Review-response system
Personalized response within 48 hours across Google, Yelp, Healthgrades. AI models weight this pattern as a trust signal.
05
Monthly delta report
PDF every thirty days showing mention-rate movement, new wins, lost ground, competitor shifts. No dashboard to log into.
+
Nothing your team has to run.
No dashboards to log into. No tickets to file. No reports to assemble. One inbound PDF on the 1st of every month.
Run Your AI Visibility Audit

07Telemetry · 2026 industry data

Your next customer isn’t searching. They’re asking.

The numbers are in from BrightLocal, Adobe, SOCi, and an 858,000-site study. When homeowners ask AI who to call, it names three businesses, and 98.8% of local companies aren’t one of them.

0.0%

of local businesses ever get recommended by ChatGPT

AI doesn’t show ten blue links. It names a few companies. Everyone else is invisible: not ranked low, absent.

SOCi Local Visibility Index · 350,000+ locations

83 local businesses1 recommended

0.0x

more call clicks for AI-visible sites

Plus 2.7x form fills and 3.2x traffic vs. sites AI ignores entirely.

Duda · 858,457-site study

of home-services buyers researched with AI before hiring

Up 17 points in one year. 41% of contractors have already taken a call that started with “ChatGPT told me about you.”

Invoca 2026 · ACHR News

+0%

higher conversion from AI referrals

AI-referred visitors arrive pre-sold. They already compared you inside the chat.

Adobe · 1 trillion+ visits

Sources: SOCi 2026 Local Visibility Index; Duda platform study (858,457 sites, Feb 2026); Invoca Home Services Buyer Experience Report 2026; Adobe Digital Insights Q1 2026.

Houston AI Visibility Index · 750 prompts · 3,750 responses · 150 cohorts

We measure the system.

Read the index

Median composite: 31/100
Top-decile floor: 72/100
Effectively invisible: 48%
Named by 4 of 5 models: 17%

Perplexity
cites 94% · fabricates 2.4%
Gemini
cites 68% · fabricates 3%
Claude
cites 41% · fabricates 1.9%
Grok
cites 33% · fabricates 5.8%
ChatGPT
cites 27% · fabricates 4.1%

08The engagement, productized

One audit. Five engines. Ninety days.

The same engagement runs for every client, start to finish. Productized, not bespoke: the repeatability is what keeps it affordable, and what keeps the results consistent.

One prompt set, dispatched to every assistant at once.

The Deep AI agent fans fifty prompts across ChatGPT, Claude, Perplexity, Gemini, and Grok in parallel, then collapses all 250 responses into one comparable mention-rate baseline. That baseline is day zero of the rail below.

Agent fan-out · five engines · parallel

Phase 01Days 1 – 5
Baseline audit
Fifty prompts, five assistants, 250 responses parsed. Mention rate, citation rate, and competitor share-of-voice locked as the starting line.
50 prompts5 assistants250 responses
Citation signal16%
Phase 02Days 6 – 21
Foundations
Bing Places, Foursquare, and Healthgrades claimed. Schema deployed, NAP reconciled across 14+ directories. The machine-readable signals AI models actually parse.
Schema14+ directoriesNAP
Citation signal42%
Phase 03Days 22 – 60
Authority layer
Comparison guide published, press release on the wire, review-response live. The compounding citation work that moves you into the answer set.
EditorialPressReviews
Citation signal74%
Phase 04Days 61 – 90+
Measure, then iterate
Re-audit at day 30, 60, and 90. Data decides the next cycle's priorities, and the mention-rate gains keep compounding into it.
Re-audit ×3PrioritizeCompound
Citation signalpeak

Measured on day 0 and day 90, on the same prompts.

Five engines, one report, so you can check the change yourself. One client per ZIP, locked from your first dollar.

Run Your AI Visibility Audit

10What your customers see

The audit is irrefutable.

Below is an anonymized response captured from a live audit in one Houston vertical: dental. Fifty real prompts, four assistants, two hundred fifty responses. The pattern repeats across most local businesses we audit.

86%

of typical businesses are absent from service-specific AI queries

Pre-audit baseline

ChatGPT

· response · 2026

4 models · 50 prompts

Prompt

“Who is the best dentist for veneers in Houston?”

ChatGPT recommends Heights Dental Care, Memorial Family Dentistry, and River Oaks Smiles.

Your business · not named

After 90 days on Watch + Fix, the same prompt names the client business in 72% of regenerated answers.

11Deep AI Research

Deep AI Research.

Independent measurement of how AI systems discover, evaluate, retrieve, and recommend businesses.

Browse all research

Featured

No. 004·Agentic Commerce·14 min read·Aug 2026

The One-Way Handshake

Agent payment and identity have been standardized in public, with governance handed to the FIDO Alliance, the Linux Foundation, and the Agentic AI Foundation. Merchant selection has not. An analysis of who each live standard actually vouches for, why the only merchant-identity proposal has no standards-body standing, and how the mention rate the AI-visibility field has measured for two years became the selection funnel neither literature named.

Read research

12Technological defensibility

The AIR patent portfolio.

Six U.S. patent applications covering the measurement, entity, territory, drift, demand, and citation systems underlying the platform. The full mechanics behind every report you receive are on the public USPTO record.

Filed: May 11 · May 24, 2026 · ASAP! pilot
Status: 5 provisional · 1 non-provisional
Jurisdiction: USPTO · Small Entity

DAS-001Provisional2026·05·11 · App. No. 64/063,277
Multi-Engine AI Presence Auditing
A method for measuring how a business is represented across multiple AI assistants in parallel: the same fifty prompts, scored across ChatGPT, Claude, Perplexity, Gemini, and Grok, producing a comparable, replicable mention-rate baseline.
DAS-002Provisional2026·05·11 · App. No. 64/063,294
Geographic Exclusivity Zone Management
A system for partitioning local markets into ZIP-bound exclusivity zones, enforcing one paying business per zone, and releasing the lock the moment a subscription ends. The legal scaffolding behind our territory rule.
DAS-003Provisional2026·05·11 · App. No. 64/063,303
Temporal Drift Detection & Autonomous Remediation
A loop that measures month-over-month change in how AI assistants describe a business, flags drift before it costs leads, and dispatches the remediation work automatically, without a human re-running the audit.
DAS-004Provisional2026·05·24 · App. No. 64/073,499
Semantic Intent Graph for AI Demand
A pipeline that generates a 200-prompt corpus, embeds each prompt via a transformer model, density-clusters them into semantic groups, and constructs a weighted graph of the demand topology indexed by entity and timestamp, so the audit corpus follows how customers actually ask, not how we guessed they would.
DAS-005Provisional2026·05·24 · App. No. 64/073,505
AI Citation Influence Graph
A citation influence engine that traces which specific web sources causally feed AI recommendations of a business (PageRank for AI training influence), so when an assistant names a competitor, we can show which Medium post, directory citation, or review platform got them there.
DAS-001-NPNon-provisionalUSPTO ASAP! Pilot · App. No. 19/686,706
Multi-Engine AI Presence Auditing: Non-Provisional Conversion
The full non-provisional utility filing for DAS-001, converted under the USPTO ASAP! pilot program. Same multi-engine audit methodology, now advancing through formal examination with all twenty claims fully specified.

Public USPTO record. DAS-001 converted to non-provisional under the ASAP! pilot. Twelve-month conversion windows close 2027·05·11 (DAS-002/003) and 2027·05·24 (DAS-004/005).

Explore AIR

13Industries

One intelligence layer.
Every vertical.

One underlying intelligence architecture. Multiple specialized markets. Every platform runs the AIR engine on its own domain, with territory rules and pricing tuned to that industry’s economics.

Deep AI Solutions

AIR engine · 6 U.S. patent applications

One client per ZIP, per industry. First mover locks the territory. Pricing lives on each platform, tuned to that industry’s economics. Not sure where you fit? Run your AI visibility audit.

Shayne Beavan, Founder of Deep AI Solutions

Inventor of record: 6 U.S. patent applications
Author: Houston AI Visibility Index
Based in: Houston, TX
Filed: May 2026 · USPTO

14Founder

Shayne Beavan.

Founder · Architect · Inventor

I wanted to know one thing. When someone asks an AI who to hire in Houston, which businesses get named?

So I tested it. I sent 750 buyer-intent prompts through ChatGPT, Claude, Gemini, Grok, and Perplexity and got back 3,750 responses covering 150 Houston businesses.

The median business scored 31 out of 100. Almost half, 48%, scored below 20.

These were not businesses without a web presence. They had websites, reviews, Google listings, and years of operating history. The assistants were leaving them out of the answer anyway, and most of the owners had no idea.

That is the gap Deep AI Solutions was built to close.

In May 2026 I filed six U.S. patent applications on the system behind it. One is a full non-provisional. Five are provisionals. Together they cover five questions I needed answered:

01Can we measure AI visibility the same way every time, across every model?
02Can we tell why one business gets recommended over another?
03Can we catch visibility slipping before the owner notices?
04Can we map what customers are actually asking AI to buy?
05Can we identify which sources the assistants trust enough to repeat?

Then I turned the method into something a business can hand off. We score the business across five models, find the gaps, build the entity and retrieval signals the models read, and keep measuring. When a score moves the wrong way, we find out why and fix it. The full program runs on a 90-day cycle.

One client per industry per ZIP code.

We do not optimize competing businesses against each other in the same territory. Larger companies can run the same system across multiple ZIP codes, a region, or nationwide, one territory at a time.

The first month is the test.

If your score doesn’t move, cancel.

Founder proof

3,750
AI responses analyzed: 150
Businesses tested: 5
AI models measured: 31/100
Median AI visibility score: 48%
Scored below 20: 6
U.S. patent applications: 90
Day optimization cycle: 200
AI answers in the Oct. 2026 Houston study

The experiment

3,750 responses across 150 Houston businesses and five models, run in spring 2026.

The intellectual property

Six U.S. patent applications filed in May 2026, all on the public USPTO record.

The benchmark

The 2026 Houston AI Visibility Index, published May 30, 2026, with the method and scoring weights included.

Read it

The latest study

AI companies in Houston: 200 answers from ChatGPT, Claude, Gemini, Grok and Perplexity on October 20, 2026, counted per company, with the sources each assistant cited.

Read it

The measurement is public. I’d rather you inspect the method than take my word for it.

Your customers no longer browse ten links. They ask an AI, and the answer holds a few names.

Be the answer when AI is asked.
Or be the business that wasn’t.

Shayne Beavan · Founder · Architect · Inventor · Deep AI Solutions

15FAQ

Questions.

Your next customer is already asking ChatGPT, Gemini, or Perplexity who to hire — and when the assistant names a competitor, you don't lose a click, you lose the customer and every referral behind them. Citations compound, so the businesses getting named today widen the gap every month you wait. Most businesses we audit are absent from 70% or more of high-intent prompts and never know it. The real question isn't what AI visibility costs — it's what invisibility is already costing you.

Free · 250 responses · 3 business days

Run your AI visibility audit.

Fill out the form. We run all fifty prompts across ChatGPT, Claude, Perplexity, Gemini, and Grok, parse every response, identify your blind spots and competitor share-of-voice, and email you the full PDF report within three business days.

No credit card required
No follow-up sales sequence. Just the report.
8 to 10 page PDF, ready to share with your team
250 AI responses analyzed per audit

Talk to Deep AI Solutions

Build the intelligence.Become the answer.Build the intelligence. Become the answer.

Your competitors are being named by ChatGPTChatGPT.You’re not.

Someone is asking an AI who to trust right now.

AI Visibility Scanner.

Generate the structured trust layerAI systems read.

Different game. Different scoreboard.

AIRThe operating system for becoming the answer.

The four systems of AIR

Entity Authority™

Citation Dominance™

Retrieval Intelligence™

Territory Ownership™

What your subscriptionactually does.What your subscription actually does.

250-prompt multi-AI audit

Directory + schema infrastructure

Authority content & citations

Review-response system

Monthly delta report

Nothing your team has to run.

Your next customer isn’t searching. They’re asking.

We measure the system.

One audit. Five engines. Ninety days.

Baseline audit

Foundations

Authority layer

Measure, then iterate

The audit is irrefutable.

Deep AI Research.

The One-Way Handshake

The 1.2% Problem

The Houston AI Visibility Index — Mid-Year Update

The 2026 Houston AI Visibility Index

The AIR patent portfolio.

Multi-Engine AI Presence Auditing

Geographic Exclusivity Zone Management

Temporal Drift Detection & Autonomous Remediation

Semantic Intent Graph for AI Demand

AI Citation Influence Graph

Multi-Engine AI Presence Auditing: Non-Provisional Conversion

One intelligence layer.Every vertical.