Platinum vs Textio

Platinum and Textio are both business tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Platinum

Platinum.ai generates an llms.txt profile for your business: a machine-readable file, formatted to the open llms.txt standard, that sits on your domain and hands agents your services, pricing, hours, and policies in under 600 tokens instead of requiring a full page scrape. The vendor states profiles are built using over 150 industry-specific blueprints, so the fields agents look for when evaluating a dental clinic differ from those for a law firm. You upload one file — no code changes, no redesign, no plugin. The ceiling appears quickly: this is a static document, so anything that changes on your site requires a manual update or a return purchase. Teams with fast-moving pricing or rotating service lines will find the file stale within weeks.

Textio

Textio provides real-time writing guidance inside job descriptions, performance reviews, recruiting emails, and interview notes — flagging biased language, weak phrasing, and tone problems as the text is typed. The vendor states its models are trained on over one billion HR documents, including hiring outcomes and performance review data, which it argues produces more HR-relevant guidance than general-purpose language models. The integration story is the functional differentiator: Textio connects directly into ATS platforms like Greenhouse, Workday, and Lever, so guidance appears in the tools recruiters already use. The ceiling appears at organizations that need custom scoring models or want to audit the underlying training data — Textio's AI is a black box, and the self-hosted option does not exist.

Attribute	Platinum	Textio
Pricing	Paid	Paid
Price	From $99 one-time	Custom; typically starts at $10,000–$15,000 per year
Free trial	No	No
Open source	No	No
Has API	No	Yes
Self-hosted option	No	No
Platforms	—	Web, Chrome extension
Released	—	2014
Pros	Delivers a machine-readable llms.txt file in the open standard format agents already look for, which means agents retrieving your domain get structured facts in under 600 tokens rather than burning budget on a JavaScript-heavy scrape that may still return wrong data. Over 150 industry-specific blueprints shape which facts get prioritized, so a dental clinic's profile surfaces credentialing and insurance fields that a generic summary would omit — the data agents actually weight when comparing providers in that category. One-time delivery with no plugin installation or site redesign required, which means your existing site architecture is untouched and there is no recurring dependency to manage or cancel. Puts your business in control of the facts agents cite about you, replacing the current default — scraped directories, cached reviews, outdated listings — with a source you authored and can correct.	Real-time in-line guidance delivered inside Greenhouse, Workday, and Lever, which means recruiters do not context-switch to a separate tool and guidance actually gets applied at the moment of writing rather than in a review step that gets skipped. Training data drawn from over one billion HR-specific documents and actual hiring outcomes, so the bias flags are tied to measured applicant behavior rather than generic sentiment scoring — reducing the rate of false positives that erode recruiter trust. Covers job descriptions, performance reviews, recruiting emails, and interview documentation in one platform, so DEI and HR teams audit language consistency across the full talent lifecycle instead of patching each document type separately. In-the-moment manager guidance for performance reviews, which addresses the documented failure of periodic bias training — managers get the correction when they are writing the sentence, not three months later in a workshop. Vendor states 25% of Fortune 500 companies have used the platform, which means integration patterns and compliance use cases for large enterprise procurement are established and not experimental.
Cons	The profile is a static file with no automated sync to your live site — the moment your pricing, hours, or services change, agents reading your llms.txt will retrieve stale facts, recreating the misinformation problem the service is sold to prevent. Teams with any price volatility will need to repurchase or manually maintain the file. There is no API, no CMS integration, and no described webhook or trigger mechanism, which means businesses that update offerings frequently have no path to keeping the file current short of manual intervention every time something changes. Because the output is a text file with no performance tracking, there is no signal telling you whether agents are actually reading it, which queries it is answering, or whether it is affecting how often your business appears in agent-driven comparisons — teams that need attribution data will find nothing here and move to structured schema implementations with analytics hooks instead.	The AI guidance is a black box: Textio does not surface citations or confidence scores behind its suggestions, so when a recruiter or manager pushes back on a flag, there is no audit trail to resolve the disagreement. Legal and compliance teams at organizations subject to algorithmic accountability requirements — like those operating under emerging EU AI Act obligations — will find this insufficient and switch to vendors that provide model documentation. There is no self-hosted or on-premise deployment option. Organizations with data residency requirements or security policies that prohibit sending HR documents to a third-party SaaS platform cannot use Textio regardless of how the feature set scores against requirements. The platform is priced for enterprise procurement cycles — the vendor does not publish pricing and third-party sources estimate five-figure annual contracts. Smaller teams or companies without a dedicated HR operations budget will reach the pricing conversation before they reach a pilot, and most will stop there. The interview feedback module is a recent addition, which means teams evaluating it for structured interviewing workflows are doing so with less community-validated edge case data than the job description and performance review features that have a longer deployment history.

Bottom line

Only Textio exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Platinum and Textio?

Platinum is Paid, while Textio is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Platinum better than Textio?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.