AI Visibility Assessment

See how AI describes and recommends your organization.

Your next visitor may never see your site

You spent years making your site rank in Google. Now AI tools answer the question before anyone clicks, and they decide who to summarize, cite, and recommend. That answer may not include you.

Your organization loses ground when AI tools:

  • Leave you out of relevant recommendations
  • Recommend competitors instead
  • Describe your services inaccurately
  • Repeat outdated information about you
  • Miss your programs, locations, or experts

The assessment makes these patterns visible, then hands you a plan to fix them.

One number your whole team can act on

The Trusted AI Visibility Index (TAVI) is Kanopi’s measure of how well AI tools discover, understand, trust, and recommend your organization. Your score maps to one of five levels, so your whole team tracks the same target.

The 0–100 index

  • Emerging0–20
  • Established21–40
  • Trusted41–60
  • Recommended61–80
  • Authoritative81–100

What the score measures

Being technically ready for AI is not the same as being recommended by it. TAVI weights each pillar by how much it drives that final recommendation.

Can AI find you → understand you → trust you → recommend you?

Discoverability15% of score

Can AI find and process your content?

We review crawler access, rendering, technical readiness, structured content, information architecture, and other factors that influence discovery.

Understanding20% of score

Does AI accurately understand who you are?

We assess whether AI platforms and machine-readable systems understand your organization, services, programs, people, locations, and expertise.

Trust25% of score

Does AI trust your organization as an authority?

We evaluate the credible third-party sources, citations, backlinks, expert signals, and other evidence AI platforms may use to validate your organization.

Recommendation40% of score

Will AI actually recommend you?

We test whether AI platforms mention, cite, rank, and recommend your organization in relevant unbranded, category, informational, and competitive conversations.

Technical polish alone can’t game the score. Recommendation carries the most weight, and anything we can’t observe is marked “Not assessed,” never estimated.

What you get

  • Live AI-answer testing: how seven leading AI engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and AI Mode, Microsoft Copilot, and Grok) answer real questions about you.
  • Your TAVI score and pillars: an overall 0–100 score, maturity level, and the four-pillar breakdown.
  • Competitive benchmark: how your share of AI recommendations compares with peer organizations.
  • Evidence review: content quality, information architecture, technical and structured-data readiness, accessibility, and off-site authority.
  • Prioritized roadmap: evidence-backed fixes sequenced by impact, each tagged with a suggested owner.

Choose your starting point

Start where it fits: two assessment depths, plus ongoing tracking.

Lite snapshot

Establish your TAVI baseline.

The complete assessment and Kanopi-branded report, without workshops or a live presentation. Best for a fast first look, when your team is ready to act on the report themselves.

Approximately 3–5 business days.

Full assessment

Connect your score to real outcomes.

Everything in Lite plus senior strategic advisory: team interviews, a review of your goals and content strategy, business-KPI alignment, a tailored executive roadmap, and a live leadership presentation with deck and recording.

Best for teams with several decision-makers who need to tie visibility to leads, donations, enrollment, or membership. Approximately 2–3 weeks.

TAVI Monitor

Prove the work is moving the score.

Your first assessment sets the baseline. Each quarter, we reassess and add the results to your TAVI history, so you can show leadership what improved, what slipped, and how you compare with competitors over time.

How the engagement works

Four steps to your score, plus quarterly tracking if you want it.

  • Confirm the scope. Your site, priority topics, named competitors, and audiences.
  • Test and evaluate. Your content, authority signals, and competitive position across seven AI engines.
  • Score and validate. Every material finding is checked against real evidence before it reaches you.
  • Deliver the roadmap. A prioritized plan showing what to improve, who owns it, and which pillar it strengthens.

Who it’s for

This assessment fits you when your organization depends on being found and trusted online.

  • Your reach depends on organic discovery and thought-leadership content
  • You’re planning content, SEO, or communications investments and need to know where they’ll land
  • You suspect competitors are winning the AI recommendation
  • Your organization runs on trust, like a university, hospital, nonprofit, or cultural institution

Why teams choose Kanopi

Kanopi builds accessible, content-rich websites for mission-driven organizations. That’s the same content and structure AI tools now read to decide who to trust, so we know where the gaps hide.

This isn’t a surface scan. Live AI-answer testing sits alongside a full evidence review, so the score reflects how AI actually treats you. Every finding traces back to evidence you can check.

You walk away with a practical improvement plan and a clear path into optimization, a broader roadmap, or ongoing support when you’re ready.

Common questions

Is this the same as an SEO audit?

No. Traditional SEO audits focus on helping search engines crawl, understand, and rank web pages. The AI Visibility Assessment evaluates how AI platforms discover, interpret, cite, compare, and recommend your organization. There is overlap, but TAVI addresses a different generation of search and discovery experiences.

Do we need to be using AI already?

No. The assessment evaluates how external AI platforms perceive your organization. You do not need to be using AI internally.

Which AI platforms do you test?

The assessment tests ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and AI Mode, Microsoft Copilot, and Grok.

Why test prompts more than once?

AI-generated answers can change between sessions. Repeated testing helps distinguish consistent patterns from isolated responses and creates a more credible baseline.

Will this include technical recommendations?

Yes. Recommendations may address content, structured data, accessibility, information architecture, crawler access, technical implementation, authority signals, and communications strategy.

Is the accessibility review a full accessibility audit?

No. The assessment includes automated accessibility testing on representative page types and review of semantic-content factors. A comprehensive manual and assistive-technology accessibility audit should be scoped separately.

Do we need to provide analytics access?

Analytics and search-performance data improve the assessment, but they are not required for every component. If data is unavailable, related measurements are marked Not assessed rather than estimated.

Does a high TAVI score guarantee traffic or business results?

No. TAVI measures observed AI visibility and recommendation performance. It does not guarantee traffic, leads, donations, applications, revenue, or other outcomes. Full clients can connect TAVI to relevant business KPIs, but the score should be interpreted alongside those measures rather than treated as proof of causation.

Can you guarantee that AI platforms will recommend us?

No organization can responsibly guarantee a particular AI recommendation. Kanopi identifies the evidence, gaps, and improvements most likely to strengthen your position and measures whether observed performance changes over time.

How often should we reassess TAVI?

We recommend quarterly reassessment for organizations actively implementing improvements or operating in competitive, fast-changing environments. TAVI Monitor provides that ongoing measurement.

AI-powered search is already changing how people find trusted organizations.

Get your baseline, see how you compare with your peers, and leave with a practical plan to improve how AI describes and recommends you.