Frankly, most websites are invisible to AI. Is yours?

Frankly is an AI readiness diagnostic tool that evaluates whether a web page is usable by modern AI systems, including large language models (LLMs), AI agents, robotic process automation (RPA), retrieval-augmented generation (RAG), and multimodal systems.

Frankly helps you control what AI says and does with your website by checking whether each page is unambiguous, machine-usable, and fast to fix. AI systems need to:

• Retrieve your page content (or receive it as context)
• Extract meaning from what they can reliably parse
• Decide what to use, summarize, and quote based on clarity, consistency, and trust signals
• Act on the web page when an agent or AI automation is trying to complete tasks such as navigation, form submissions, checkout, and booking

Frankly runs 100+ tests across these "can AI use this?" requirements to determine your web page's AI readiness. Then, you get:

• Your total web page score
• Scores for each of the six evaluation layers
• Your top 5 strengths, with the details that earned them
• Your top 5 fixes, ranked by impact on AI readiness
• A downloadable CSV with every test, score, and the proof behind each result

When we say, "AI readiness," we mean AI systems can correctly use your web page without guessing. Frankly measures how reliably an AI system can retrieve the page, extract the content, interpret what it means, and decide whether it is safe to cite or act on.

When a website isn't AI-ready, AI systems can't extract clear facts. They piece together fragmented information and hallucinate, so critical info is misstated or omitted.

When your website is AI-ready and your positioning is extractable, explicit, and consistent, you control the narrative.

For agentic systems, an AI-ready website means systems can reliably find what to do, where to click, and what rules to follow.

Frankly's evaluation layers measure how reliably AI systems and agents can use your web page. These include:

• Findability: Measures whether AI systems can find and retrieve your web page consistently.
• Extractability: Measures whether the important content can be pulled out cleanly as usable text, links, and labels, without gaps or distortion.
• Structural Clarity: Measures whether the web page layout and hierarchy make it easy for machines to interpret what belongs together and what matters.
• Semantic Usefulness: Measures whether the content is specific and unambiguous enough for AI systems to describe what you offer, who it is for, and what a user can do next.
• Trust and Authority: Measures whether the web page gives clear credibility signals that affect citation confidence.
• Interaction Readiness: Measures whether agents can reliably take actions on your web page, like navigation, form submissions, checkout, or booking, without ambiguity or failure.

Francine evaluates every issue against the purpose of your web page, then prioritizes fixes based on which changes will most improve your AI readiness score.

Each test result has three prioritization signals that you'll see in the report:

• Importance (1–5): How much this issue affects AI systems for the page's purpose. High-importance issues block or distort foundational items such as whether AI systems can reliably retrieve the right content, parse it into usable text, extract meaning without guessing, or interpret what the page offers and what action is available.
• Effort to fix (low/medium/high): How difficult the change is to implement. High-effort fixes require time-consuming work such as template refactoring or architectural changes. Low-effort fixes are quick changes such as semantic labeling or content tweaks.
• Exclusion risk: A warning flag for issues that can cause AI systems to skip, filter out, or avoid using the page. These are the problems that prevent inclusion in answers, summaries, citations, or agent flows, even if the content is otherwise good.

After scoring and signaling issues, Francine applies the 80/20 principle to surface the top five fixes with the highest AI readiness impact.

Frankly can evaluate any public web page where you want AI systems and agents to understand the content and take the right next step. The most common use cases are pages tied to revenue, leads, and decision-making. Choosing the right page type helps Frankly score the page against the purpose the page is supposed to serve.

Examples of page types Frankly can score:

• About
• Article / Blog Post
• Category
• Company/Person (entity profile)
• Event
• Job
• Landing Page
• Product Detail
• Pricing
• Service
• Stocks (market info)
• Support (help docs)

Frankly's evaluations are context-specific, based on the inputs you provide:

• the URL
• the page type
• the purpose of the page
• the intended audience (ICP)

Frankly uses that context to evaluate whether the page provides the right signals, structure, and evidence for your stated intent and audience so AI doesn't guess, misclassify, or misuse the content.

Frankly renders your page in a real browser and evaluates the rendered output, not just the raw HTML. Frankly also runs agentic tests where an agent attempts real tasks on the page, including navigation, finding CTAs, completing forms, and progressing through checkout or booking.

If critical content loads late, loads inconsistently, or requires interaction that agents cannot complete reliably, Frankly flags it as unreliable and scores it accordingly.

Frankly scans publicly accessible web pages. If a web page requires a login, password, paywall access, or anything that blocks a normal visitor without credentials, Frankly cannot evaluate it.

Yes, Frankly can help AI systems use and cite your web page more accurately by improving the conditions that make a page easy to retrieve, extract, understand, and trust.

AI systems and RAG pipelines tend to choose sources that:

• Answer the question clearly with specific wording
• Extract cleanly as usable text, links, and labels
• Stay structurally consistent, so sections and headings are easy to interpret
• Reduce ambiguity about the offering, audience, and next step
• Provide credibility signals that increase citation confidence

Frankly scores those conditions and prioritizes fixes that improve your odds of being used as a source, but it cannot promise that any specific AI system will cite you.

SEO platforms and Frankly solve different problems. SEO platforms show AI visibility trends to help you see what AI outputs did. Frankly answers whether your web page is usable as an AI input, with evidence you can audit.

Where Frankly adds value for teams already using SEO platforms:

• SEO platforms tell you what is happening, like mentions, citations, and competitors.
• Frankly explains why your AI visibility is strong or weak by scoring page-level inputs AI systems rely on, including extractability, credibility signals, and agent task readiness.
• Frankly ties results to the web page itself, so you can see what an AI system could retrieve and extract, and which issues cause missed content, misinterpretation, low citation confidence, or failed agent actions.

Why that matters:

• When your AI visibility score is strong, Frankly shows which page elements earned that score so you can keep them when you redesign, rewrite, or scale content.
• When your AI visibility score is weak, Frankly tells you exactly what's wrong and what to fix first to raise that score.

Technical SEO audits and Frankly both look at machine-readability signals, but they answer different questions.

• Technical SEO audits focus on whether a web page can be crawled, indexed, and ranked.
• Frankly evaluates whether the page is unambiguous and machine-usable for AI. That means AI can retrieve the right content, extract it cleanly, summarize it accurately, and either quote it or complete tasks on the page (navigation, forms, checkout, booking).

That's why a web page can look fine in an SEO audit and still underperform in AI systems.

Google ranking helps with discovery, not guaranteed citation. When an LLM searches the web, it often favors sources with extractable, direct answers.

Common reasons an LLM ignores a web page that ranks well in Google:

• The main content is hard to extract from the web page cleanly.
• The structure is noisy, inconsistent, or forces guessing about what matters.
• The offering, audience, or next step is vague, so the system cannot describe it confidently.
• The page looks credible to a human, but credibility signals are thin or unclear to a machine.
• Agent actions like forms, booking, or checkout are hard to interpret or complete reliably.
• The web page ranks for the keyword, but the passages on the page do not match the exact question the user asked, so the LLM pulls a different page that has a cleaner, more direct answer.

Join the early access waitlist. When Frankly is ready, we'll email you with access details. Beta testers are notified first. After beta testing, we'll email the early access waitlist.

Yes. Frankly has a free version that scores your web page's AI readiness and shows a small preview of what Francine found. In the free version, you get:

• Total score
• Evaluation layer scores
• Top 1 issue
• Top 1 success
• A shareable social card