Why it matters to you

Be the business AI recommends, and turn AI’s answers into your warmest leads

Win high-intent buyers

When someone asks AI who to hire, you want to be one of the names it recommends, not an invisible option.

Control how AI describes you

If AI has old, incomplete, or wrong information about your business, it can lose the customer before they ever call.

Catch competitor movement early

See when a rival starts showing up more often in AI answers, and know what they are doing better.

And it compounds: much of what wins AI visibility also lifts your classic organic traffic, and gets you ready for the AI agents that will soon shop on your customers’ behalf.

How we work with you

Done with you, not instead of you

We bring the tools, the data, and the expertise, then pick the best approach for your business, and work alongside you, month by month.

Get set up · once

Onboarding & audit

A full AI-visibility and competitive audit of where you stand today, for you and your rivals.

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Personalized roadmap

A prioritized plan built for your niche and your gaps, not a template, sequenced by payoff.

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Agree the split

We define together who does what, your team, your contractors, and us, so nothing overlaps or falls through.

then, on a monthly cadence

Every month · ongoing↺ repeats every month

Monthly work plan

Concrete actions for each month, sized to your capacity, with the expected impact spelled out.

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Re-measure

We re-run the scan and check the work actually moved the numbers, with confidence intervals, not vibes.

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Monthly review & course-correct

A report, a debrief, and an adjusted plan, so the strategy keeps pace as AI changes.

What you get

Initial AI visibility auditCompetitor benchmarkBrand accuracy reportTechnical & readability scan30-day priority roadmapMonthly re-scanMonthly executive summary

We complement, we don’t compete. We don’t run classic SEO directly, but much of what we do for AI visibility lifts your organic traffic too. And we’re glad to audit or validate the plans of your existing agency or in-house team and align them with what wins in AI, so everyone pulls in the same direction.

How we measure

We measure the sources and signals AI relies on, for you and your competitors

We measure the sources and signals AI systems commonly rely on: your website, structured data, Google Business Profile, reviews, directories, local listings, community mentions, citations, competitor pages, and live AI answers. Then we compare you against the competitors AI already names.

What we measure

How often your brand appears, whether it is recommended or merely mentioned, how accurately AI describes you, which sources AI cites, and how you compare against competitors, all across the same prompts, locations, and models.

Main AI platforms we query

ChatGPTClaudePerplexityGoogle AI Overview& others

Signals & sources we pull from

GoogleBingYelpGoogle MapsBBBBBBTtThumbtackTrustpilotHouzzTripadvisorAAngiWikipediaRedditYouTubeFacebook / MetaInstagramLinkedInX (Twitter)PinterestTikTokQuoraDuckDuckGo& others

One AI answer isn’t truth. AI answers vary, so we test many prompts, across multiple models and locations, and repeat them to estimate durable visibility, instead of relying on a lucky screenshot.

What we show you

The capabilities, each with why it matters to your business

01 Competitive intelligence

Discover the whole field, then benchmark against it

AI doesn’t only compare you to obvious competitors. It may recommend a directory, a marketplace, a national brand, or a different type of solution. We identify the full competitive field AI is using, then benchmark you against each one on visibility, reviews, authority, listings, technical readiness, and brand accuracy.

Peers businesses like yoursAggregators directories or marketplaces AI citesAlternatives substitute solutions buyers pick instead

Business impactYou find out who is really taking the AI-referred customer, not just who you thought your competitors were, and precisely where you trail: “third on AI visibility; ahead on rating, behind on reviews and authority.”

AI visibility, who shows up in AI answers

View:

Market leaderPeer21.9% ±1.8

Your brand (You)Peer16.5% ±2.1

Strong rivalPeer15.0% ±1.5

Multi-service rivalPeer13.3% ±1.9

National aggregatorAggregator11.7% ±1.4

Adjacent solutionAlternative8.5% ±1.2

Share of category mentions per brand, with a ± confidence interval, viewable aggregated across all AI models or broken down per model (ChatGPT, Claude, Perplexity, Google AI Overview…). Each rival classified Peer / Aggregator / Alternative, then fully scanned.

Full side-by-side comparison, every metric, every rival

Business	AI visibility	AI recommend	Brand accuracy	Sentiment	Rating	Reviews	Review velocity	Citation share	Local listings
Your brand You	16%	1 / 4	85	Mixed	5.0★	20	+1/mo	0%	3 / 10
Market leader	22%	4 / 4	92	Positive	4.6★	162	+9/mo	6.1%	9 / 10
Strong rival	15%	3 / 4	88	Positive	4.8★	98	+6/mo	3.4%	8 / 10
Mid-pack rival	11%	2 / 4	80	Neutral	4.5★	73	+3/mo	1.8%	6 / 10
Regional specialist	9%	1 / 4	83	Positive	4.9★	55	+4/mo	1.1%	5 / 10
National aggregator	12%	2 / 4	—	Neutral	—	—	—	4.0%	10 / 10

The same metrics for your brand and every competitor we discover, not a hand-picked three. Strengths and gaps flagged green and red. And these are only the headline columns, we collect 500+ data points like these per company.

02 AI recommendation, engine by engine

When someone asks, does each engine actually recommend you?

Each AI surface behaves differently. We query the engines directly and track whether each one recommends you, merely mentions you, or skips you, then read the answer text, the cited sources, and competitor patterns to identify what’s likely holding you back, model by model.

Business impactEvery “best X near me” answer that names a rival is a lost lead invisible in your reporting. This is the baseline that justifies the whole budget, and the per-model reasons are your fix list.

Per-engine recommendation, model by model

ChatGPTRecommends

Names you among the top optionsLeans on your own site copy plus third-party mentions. We make sure both tell the same, current story.

ClaudePartial match

Mentions you, but hedgesWants depth and corroboration before it commits. We add the proof points and citations it looks for.

PerplexityNot recommended

Passes you over for cited rivalsHeavily citation-driven. We target the exact sources it quotes in your category so you appear in its references.

Google AI OverviewNot mentioned

Absent from the AI answer boxPulls from your Business Profile, reviews and schema. We fix the structured signals that feed the Overview.

Each engine graded, with the reason it gave and what to fix for that specific model.

03 Brand knowledge & accuracy

Does AI know your brand, and does it get you right?

We ask each AI system to explain your business the way a customer would, then check whether the answer is correct: services, locations, hours, pricing, proof points, reputation, and whether it confuses you with a similarly-named competitor. Two questions underneath: does AI know you exist, and does it get you right?

Business impactAI repeats whatever it absorbed, an old name, a wrong service area, a competitor’s pricing, to every prospect who asks. A brand can be well-known and still be described wrong. Catching and correcting that stops silent, on-autopilot lost sales you’d never otherwise see.

brand knowledge check

Yes

Knows your brand

Accuracy score

Facts it gets wrong

Rival it confuses you with

Phrases AI uses to describe you

a legitimate local service companyoffers same-day servicein business since 2017highly rated (4.8–4.9)licensed & insured⚠ lists an outdated service area

Where it gets you wrong

⚠ confuses you with a similarly-named rival⚠ attributes a competitor’s pricing to you

Per-AI accuracy check

ChatGPT ✓Claude ✓Perplexity ✓Google AI Overview ⚠ mixes you up

Whether AI knows you, how accurate it is, the phrases it uses, and where it mixes you up with rivals. Each issue is graded by severity:

wrong phone, wrong location, competitor confusionmissing core service, outdated areaweak proof, vague descriptiontone & framing

04 Technical & schema readiness

Can AI and agents actually read your site?

We check whether your site is easy for search engines, AI systems, and future agents to parse: established signals like schema.org structured data, robots.txt, sitemaps, internal linking, headings, canonical tags and crawlability, plus emerging AI-readiness signals like llms.txt and agent-facing metadata. Clear structure reduces ambiguity and makes your facts retrievable.

Business impactIf AI can’t cleanly read your pages, it can’t confidently recommend you, and increasingly, AI shopping agents can’t transact with you. Fixing the machine-readable layer is high-leverage and almost always overlooked.

schema & structured-data coverage

86%

Schema coverage

18/21

pages w/ schema

schema types

✓

llms.txt, robots, sitemap

Machine-readable signals AI & agents can read

✓ Organization✓ LocalBusiness✓ Service✓ FAQ✓ Review✓ AggregateRating✓ ContactPoint✓ Breadcrumbs✓ GeoCoordinates✓ OpeningHours✓ WebSite✓ WebPage✓ Product✓ Person✓ VideoObject

Gaps AI can’t read yet

✕ HowTo✕ Offer / pricing✕ Speakable✕ Event

Coverage, types present, and the signals that make your site machine-readable.

A human sees a website. AI sees text.

Drag the handle: the same page, as a customer sees it (left) and as AI actually reads it (right). A human infers meaning from design; AI mostly depends on crawlable text, structured markup, accessible labels, links, and metadata. If key information is trapped inside images or unclear buttons, AI can miss it, which is why clear copy and clean markup get you described and recommended correctly.

apexplumbing.com

What AI reads

H1 “Apex Plumbing & Heating”

Text same-day · licensed · insured · since 2017

Hero image no alt text → easily missed

Phone number sits inside an image → AI may miss it

“Call now” no tel: link → an agent can’t act

Service list baked into an image → often missed

What a human sees

Apex Plumbing & Heating

Same-day service across the Bay Area · Licensed & insured

Call now

☎ (415) 555-0199image

Family-owned since 2017. Friendly techs fix leaks, water heaters and furnaces, fast.

⇔

What a human seesdrag the handle ⇔What AI reads

05 Visibility drivers & correlation

What actually moves the needle in your category

We compare the brands AI recommends against the brands it ignores, then look for the signals that consistently separate winners from non-winners in your category, reviews, authority, community, schema. This doesn’t prove causation, but it helps prioritize the levers most likely to matter.

Business impactStop funding tactics that don’t move your category. The next dollar goes to the highest-payoff lever, a call you can defend to a client or CFO with numbers, not opinion.

visibility drivers, ranked

Associations across the observed competitive set, used to prioritize tests, not to promise guaranteed ranking changes.

06 Topic-level visibility

Where you win and lose, topic by topic, in SEO and in AI

We group the questions buyers actually ask into topics, then measure your visibility on each, separately for classic search and for AI answers, against the field. The two often diverge: you can rank on Google yet be invisible when AI answers the same question.

Business impactShows exactly where to attack: high-demand topics where you lead in search but trail in AI are the fastest wins, the content already exists, it just isn’t reaching the AI answer yet.

SEO vs. AI visibility by topic

Same-day / emergency repair34.6K/moAI gap

SEO78%

AI34%

Heat-pump installation18.2K/moLeading

SEO64%

AI71%

"Best [service] near me"28.1K/moTrailing

SEO30%

AI18%

Pricing & cost questions21.3K/moAI gap

SEO70%

AI28%

Two bars per topic, SEO and AI. “AI gap” = strong in search, weak in AI answers.

07 Citation source intelligence

The sites AI trusts, and where to earn presence

Every AI answer leans on sources. We track which domains AI cites most in your category, forums, directories, video, review sites, competitor pages, across hundreds of unique domains, and measure your share of them.

Business impactInstead of publishing another blog post and hoping AI finds it, you learn which trusted sources AI already uses, and where it’s worth earning presence first.

most-cited sources in AI answers

View:

527 domains cited across answers · your share 2.8%

Reddit threads6.1%

YouTube4.8%

Industry directories4.2%

Your site You2.8%

Top competitor site2.5%

Review platforms (Yelp, BBB)2.3%

Local & niche blogs1.9%

Q&A sites (Quora)1.6%

Ranked by share of all citations; your own share highlighted.

08 Historical tracking & momentum

Prove the work moved the number

Every scan becomes a baseline. Each month we re-measure the same prompts, models, locations, and competitors, so you can see whether visibility improved, whether competitors moved, and whether the work produced a measurable change.

Business impactTurns a one-off audit into an ongoing system that proves ROI for the next budget and warns you of a rival’s slide or surge while you can still respond, the value that justifies a retainer.

your mentions over time

Compare:You

You vs. the competitor average over time. Each month’s report: what improved, what declined, which competitor moved, which fixes shipped, and what to do next.

09 Concrete targets

Not “get more reviews”: the exact number to aim for

For the dials you can turn, review count, rating, freshness, we benchmark where recommended competitors tend to sit, show where you are now, and set practical targets. These are smooth trend lines across an observed set, and planning targets, not guarantees.

Business impactA target is budget-able and defensible. “~112 more reviews and half a star to reach the recommendation band” is a plan a client can approve, not a vague “do more.”

AI visibility vs. review count

Smooth trend across an observed set, association, not a guarantee.

AI visibility vs. average rating

Below ~4.0★ visibility all but collapses; most of the lift is the climb from 4.0 to ~4.6★. A soft band, not a precise threshold.

And always know the next move

Publish a “best [category] for [need]” comparison pageContentHigh impact

Earn mentions in the [community] threads AI keeps citingCitationsHigh impact

Add review schema so AI can read your ratingStructured dataHigh impact

Stand up the [2] review profiles you’re missingLocal presenceMedium impact

Add FAQ schema to your [pricing] pageStructured dataMedium impact

Opportunities ranked by impact; bracketed values fill in from your scan.

The payoff

Where to publish next: decided by data, not hunches

We combine your topic gaps with the sources AI actually cites to produce a ranked, specific placement plan: the exact pages to build and the exact places to earn citations so AI starts recommending you.

Each recommendation carries the reason, the source of evidence, an effort level, who should own it, and the AI-visibility metric it’s expected to affect.

Publish a “best [category] for [need]” comparison pageAI loves to pull from comparison pages when buyers ask it to choose~34,600 monthly searches on this topic · today AI names a rival, not you

Content

Earn mentions in the community threads AI keeps citingAI quotes these threads when it recommends, so a mention there puts you in the answerAI cites these threads in ~6 of every 100 answers · you appear in none

Citations

Get listed in the directories AI pulls fromAI leans on directory listings for local picksAI pulls from 10 directories in your niche · you’re on only 3

Listings

Add Review & AggregateRating schema to your pagesWithout it, AI can’t read your rating and quotes a rival’s instead5 of the 6 rivals AI recommends have this markup · you don’t

Technical

Answer the top “how much / how to” questions on Q&A sitesPricing and how-to are where buyers ask AI most, and where it quotes Q&A sitesPricing is the #2 thing buyers ask AI · you’re absent from the sites it quotes

Content

This is the difference between effort and outcome. “Write more content” is a hope. “Publish this comparison page and get cited in these three sources” is a plan tied to where AI is already looking.

Also in every scan

Built for where AI is going, not just where it is

Sentiment & framing

Measures not just whether AI mentions you, but how positively it frames you vs. rivals, tone, emphasis, and the adjectives it reaches for.

Business impact Two businesses can both appear; the one AI describes more warmly wins the click. We surface where your framing is lukewarm so you can fix the narrative.

Multi-location coverage

Runs the whole analysis per service area, because AI answers differ by city, and a brand strong in one market can be invisible in the next.

Business impact See exactly which locations are winning and which are dark, instead of assuming one citywide number applies everywhere.

You pick the AI panel

Curated model catalog with per-scan pickers; we add new AI surfaces as they become relevant to your customers and measurable reliably.

Business impact Your audit reflects the AIs your customers actually use, not a single frozen model, no blind spots.

Why through us

This isn’t one search. It’s a measurement system you can’t run by hand.

AI answers are non-deterministic, ask the same question five times and you get different brands. A screenshot proves nothing. We run a whole prompt set across markets and engines, repeat every prompt many times, then aggregate into a number you can trust.

AI visibility, sampled at scale — the numbers are editable, size your own scan

customer prompts

AI platforms

locations

stability iterations

1,800

AI conversations

Plus the full technical & competitive scan

500+

checks per company

competitors

25,000+

checks / project

One check is a coin flip. We report the odds, with reproducibility.

Ask an AI the same question once and the answer is close to random, you might appear, you might not. So a single check tells you almost nothing. We run the prompt many times and aggregate, and every extra run tightens the confidence interval. That’s how you separate a lucky one-off from durable presence. It’s also reproducibility: run the same scan again next week and you get a comparable number, not a fresh coin flip, so any change you report is a change that actually happened, not a different roll of the dice.

how the range tightens, and the result reproduces, as you run more iterations

Ask AI the same question 10 times, and you can get 10 different answers

✓✕✓✓✕✓✕✓✓✕

Appeared in 6 of 10 runs. One run alone just says “yes” or “no”, and would have been wrong about 4 times in 10.

So is next week’s change real, or just luck?

One run per week

Wk 1Wk 2

0%40%80%

Looks like a −20 drop, but a single run swings this much by chance. You can’t tell a real change from noise, here it even points the wrong way.

Aggregated, many runs

Wk 1Wk 2

0%40%80%

The two intervals barely overlap, so the +7 stands out from the noise, a change worth acting on.

More runs, tighter interval, drag it

AIReady, 8 runsaggregated estimate, ± confidence interval

0%10%20%30%40%

Iterations

Interval ±5.7% · 11.3%–22.7%

A single run can land almost anywhere, that’s the coin flip above. Aggregate N runs and the interval shrinks with √N. Drag the slider: at 1 run the range is huge; by 15–20 it’s tight enough to call a week-over-week change real.

What sets us apart

Four things others skip, and why they decide whether AI recommends you

Many measurements, not one

Others take a single snapshot. We run iterations across models and locations and report statistical significance.

Why it matters: otherwise you can’t tell a real win from a lucky day, and you’ll burn budget chasing noise.

Full SEO + GEO, not a bolt-on

We’re not an SEO platform with a GEO tab stapled on. We study search and AI visibility together, in depth.

Why it matters: one strategy where search and AI reinforce each other, instead of two teams pulling apart.

Factor-influence analysis

We don’t hand you a generic checklist. We measure which factors actually drive visibility in your category and rank them.

Why it matters: your budget goes to the few levers that move your market, not a one-size-fits-all to-do list.

We move as fast as the field

AI search changes monthly, new models, new answer formats, new signals. We continuously update our checks, recommendations, and tracking.

Why it matters: your plan stays valid as models shift, so the work you pay for this month still counts next month.

How that compares

The honest version of where each approach helps, and where it stops. Hover any capability or cell for what it means.

Capability	AIReady	Typical GEO tracker	Traditional SEO platform	Manual spot checks
Queries the AI engines directly	✓	✓	∼	✓
Covers every major engine (ChatGPT, Claude, Perplexity, Google AI Overview)	✓	∼	∼	∼
Runs from multiple locations / markets	✓	✕	✕	✕
Repeats each prompt across many iterations	✓	✕	✕	✕
Reports statistical significance & confidence intervals	✓	✕	✕	✕
Per-model and aggregated visibility views	✓	∼	✕	✕
Verifies AI’s knowledge of your brand is accurate (hallucination check)	✓	✕	✕	∼
Measures sentiment & how AI frames you	✓	∼	✕	✕
Topic-level visibility: SEO vs. AI, side by side	✓	∼	∼	✕
Analyzes which factors actually drive visibility	✓	∼	✕	✕
Technical & schema readiness for AI & agents	✓	∼	∼	∼
AgentReady 1.0 conformance (the agentic web)	✓	✕	✕	✕
Citation-source intelligence, where AI pulls from	✓	∼	✕	✕
Full SEO + GEO depth (not a bolt-on)	✓	✕	∼	✕
Discovers & fully scans every competitor (500+ checks each)	✓	∼	∼	✕
Side-by-side competitor comparison on every metric	✓	∼	∼	✕
Content-placement plan (topics × citation sources)	✓	✕	✕	✕
Turns findings into concrete numeric targets & cost	✓	∼	✕	✕
Historical tracking & momentum over time	✓	∼	∼	✕
Updates checks & recommendations as AI changes	✓	∼	✕	✕
Practical to repeat every month	✓	✓	✓	✕

Competitor categories are generalized from common market approaches; exact capabilities vary by provider.

The bottom line. Manual checks can’t scale, SEO platforms treat GEO as an afterthought, and most GEO tools take a single, un-replicated reading. We combine the depth of an SEO platform with a purpose-built, statistically rigorous AI-visibility engine, and turn it into targets you can act on.

The agentic web

Future readiness for AI agents

Today buyers ask AI for recommendations. Next, AI agents will compare, shortlist, and complete tasks for them. We check whether your site is ready: can an agent discover your business, understand your services, verify trust signals, authenticate where needed, and complete key actions? This spans established web signals and emerging agent standards, adoption is still early, so we separate must-have fixes from experimental readiness items.

AgentReady 1.0 conformance

Partial · 3 / 8 ready

Agent discovery.well-known manifest, llms.txt, sitemap

Ready

Machine-readable capabilitieswhat you do, in a form agents parse

Ready

Structured business factsservice area, hours, pricing, proof points

Ready

AI handoff readinessan “evaluate this business” page assembles cleanly

Partial

Identity & accessOAuth / OIDC so agents can authenticate

Partial

Agent commercex402 / programmatic checkout for AI buyers

Missing

MCP endpointModel Context Protocol surface

Missing

Agent interopA2A · ACP · WebMCP · NLWeb · UCP signals

Missing

The next “mobile-friendly” shift. When a buyer’s AI agent shortlists vendors, it can only pick sites it can read, verify, and act on. Getting ahead on this now means being agent-ready before your competitors are.

Coverage

The sources & surfaces we check

We don’t sample a corner of the web. Across 500+ AI-visibility factors, we read the platforms AI leans on, the listings and reviews that shape trust, and the technical signals that let models and agents understand your site, for your brand and every competitor.

Search, SERP & index

Google SERPGoogle AI OverviewKnowledge GraphFeatured snippetsPeople Also AskBingYandex (RU/UA)DuckDuckGo

Maps & local listings

Google Business ProfileYelpBing PlacesApple MapsMapQuestMapboxOpenStreetMapYellow PagesBBBThumbtack

Review platforms

TrustpilotHouzzAngiTripadvisorG2CapterraClutch

Social, community & entity

RedditWikipediaWikidataFacebook / MetaInstagramYouTubeLinkedInTwitter / X

Profile & directory links detected

TikTokPinterestGitHubDiscordThreadsMastodonBlueskyHomeAdvisorBuildZoomPorchOpenTableHealthgradesZocdocAvvoZillowCrunchbaseGlassdoor

Site & protocol surfaces

robots.txtllms.txtllms-full.txtsitemap.xmlschema.org / JSON-LDOpen GraphTwitter Cardcanonical / meta / headingsAgentReady / .well-knownMCP · OpenAPI · OAuth/OIDCx402 · A2A · ACP · WebMCP · NLWeb · UCP

Be the business AI recommends, before your competitors are.

Get your free AI visibility snapshot. We’ll show whether AI recommends you, how it describes your business, which competitors it names instead, and the top 3 fixes to improve your visibility.

AI recommendation checkBrand accuracy checkCompetitor snapshotTop 3 priority fixes