Frankly, most websites cause AI fragmentation. Does yours?
We're building something deliciously honest: an AI stability diagnostic that tells you how well AI systems can find, read, keep context together, understand, trust, cite, and act on your web pages. I evaluate your web pages, show you what's stable, what's not, and what to fix. Think of me like a martini: sharp, sophisticated, and surprisingly refreshing. Ready to tangle?
Your AI Stability Score, Served Neat
Francine takes your inputs, straightens her gloves, and evaluates your web page against 100+ web page stability checks. When she's finished, she lays out every score and the evidence behind it.
The Verdict
Your total AI stability score and Francine's candid opinion of it.
The Report
Your score broken into six diagnostic layers, with summaries, evidence, and the top three issues shaping AI stability in each layer.
The Agenda
Your top five issues, ranked by impact and effort, with clear guidance on what to change.
The Receipts
A downloadable CSV with every test, score, and the evidence behind each result. Built for developers who need details for precise updates.
Frankly Has a Type
AI fragmentation creates a version of the brand no one approved. When that happens, three people get the call: the SEO agency, the web developer, and the marketer. Frankly gives them the evidence: which web page stability checks failed and which issues to fix.
SEO Agencies
Clients are asking why AI systems trust, cite, or recommend competitors. SEO audits and visibility tools don't answer that. Frankly gives agencies AI stability scores, evidence, and the most relevant issues to fix so they can show clients which web page stability failures are weakening trust, citations, and recommendations.
Web Developers
Developers build web pages that are understandable, usable, and accessible for people, search engines, and AI systems. When web page stability fails, Frankly tells developers which stability checks failed, how to fix them, and which issues to prioritize based on importance and effort.
Marketers
Marketers are responsible for whether AI systems understand the brand's offerings, preserve its positioning, keep value propositions attached to the right proof, and represent the brand accurately. Frankly identifies the web page stability failures causing misrepresentation, shows which issues to fix across each diagnostic layer, and ranks the top five issues to fix first.
Questions, Darling?
What is Frankly?
Frankly is an AI stability diagnostic for web pages. It evaluates whether AI systems can reliably:
- Discover your web page
- Read, extract, and preserve your web page content
- Keep related facts, sections, and context together
- Correctly interpret what your web page is about, who it is for, and what it is meant to do
- Trust, verify, quote, and attribute your web page content to a clear source
- Locate, follow, and complete your web page’s actionable paths
What are Frankly's evaluation layers?
Frankly's evaluation layers measure how reliably AI systems and agents can use your web page. These include:
- Findability: Evaluates whether AI systems can find and retrieve your web page consistently.
- Extractability: Evaluates whether the important content can be pulled out cleanly as usable text, links, and labels, without gaps or distortion.
- Structural Clarity: Evaluates whether the web page layout and hierarchy make it easy for machines to interpret what belongs together and what matters.
- Semantic Usefulness: Evaluates 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: Evaluates whether the web page gives clear credibility signals that affect citation confidence.
- Interaction Readiness: Evaluates whether agents can reliably take actions on your web page, like navigation, form submissions, checkout, or booking, without ambiguity or failure.
How does Frankly know what issues are most important to fix?
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.
What types of web pages can Frankly evaluate?
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)
Is Frankly’s diagnostic industry-specific?
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.
How does Frankly handle JavaScript-heavy sites and dynamic 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.
Can Frankly scan private or gated pages?
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.
Will Frankly help ChatGPT, Perplexity, Gemini, and AI search use and cite my web page?
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.
Can Frankly help with GEO?
Yes. Generative Engine Optimization (GEO) focuses on whether AI systems can correctly use your content as an input when generating answers, summaries, recommendations, or actions.
Frankly helps with GEO by evaluating the page-level conditions GEO depends on, including whether AI systems can:
- Retrieve your page reliably
- Extract clean, usable content
- Interpret what the page means without guessing
- Decide whether the page is safe and credible to cite or act on
For GEO and AIO teams, Frankly shows which page-level issues lead to omissions or misstatements in AI-generated answers, and which fixes will have the greatest impact.
How is Frankly different from SEO Platforms?
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.
Are Frankly's tests like technical SEO audits?
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.
Why do LLMs ignore my web page even though it ranks in Google?
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.
How do I get early access to Frankly?
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.
Is there a free trial of Frankly?
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