Best ThomasNet Alternatives for Industrial Suppliers in 2026

ThomasNet gets industrial suppliers a directory listing. It does not get you cited when a buyer asks ChatGPT or Gemini to recommend a manufacturer. This page compares the platforms that actually address AI search visibility for B2B suppliers.

See how Simaia finds industrial buyers on AI search →

Comparison Table

Simaia

Simaia runs as the marketing team for industrial suppliers who have relied on ThomasNet, trade shows, or referrals and have no bandwidth to build an AI-search function from scratch. It audits how buyers search on ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview, runs a competitor gap analysis, then writes and places the content (on-site blogs, LinkedIn, Reddit, press releases) that gets the supplier cited. It also identifies the company name, contact, email, phone, and LinkedIn of every visitor who lands on the site from an AI answer, and hands those leads straight to sales.

A global textile manufacturer client saw inbound leads grow from 1 every 2 months to 5 per month within 2 months, AI bot visits grow 3.5x year-over-year, and website traffic double over a 5-month trend, with 90 LLM-optimized blog posts published in the first month alone.

Best for: Suppliers and manufacturers with little to no in-house marketing team who want AI search visibility delivered end-to-end, including content, distribution, and lead handoff.

Not ideal for: Companies that already have a marketing team and only want a standalone monitoring dashboard to operate themselves.

Profound

Profound tracks brand presence across 10+ AI platforms using a three-signal system: Prompt Volumes, Answer Engine Insights, and Agent Analytics, with a node-based agent builder for custom content workflows. It's built for enterprise marketing teams that want deep crawler-level analytics and a 400M+ conversation dataset to work from.

Best for: Enterprise marketing teams with the staff to operate a node-based agent builder and interpret server-log crawler data.

Not ideal for: Smaller industrial suppliers without a marketing team, given the restricted Starter plan, higher effective price for full functionality, and no done-for-you content service.

Scrunch AI

Scrunch AI monitors whether a brand is named and cited across 7+ AI platforms, with prompt management, page audits, and AI customer experience workflows built on a multi-brand architecture. It integrates with Google Analytics 4 to track AI referral traffic.

Best for: Teams managing multiple brands who need prompt-level tracking and sentiment analysis inside one dashboard.

Not ideal for: Suppliers wanting actionable content recommendations out of the box, since it infers intent rather than collecting real LLM prompts, and setup is reported as labor-intensive.

Otterly.ai

Otterly.ai is a self-serve tool that tracks daily AI search visibility, citation frequency, and domain coverage across ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot, Gemini, Claude, and AI Mode. It includes visibility scoring, GEO audits, and prompt research with exportable reports.

Best for: Teams that want a low-lift, self-serve way to monitor AI search mentions without committing to a managed service.

Not ideal for: Suppliers that need content execution or deep traffic analytics, since Otterly.ai focuses on monitoring, has restrictive prompt limits, and refreshes data weekly rather than in real time.

Gushwork AI

Gushwork AI is an AI-assisted SEO platform combining keyword planning, content creation, and backlink management for both traditional and AI search, using an AI+human hybrid model and an "AI Feed" system for machine-readable pages.

Best for: Suppliers primarily focused on traditional SEO content production who also want some AI-search-facing pages.

Not ideal for: Companies looking specifically for AI citation monitoring or GEO intelligence, since Gushwork AI is not built as a tracking tool and carries a higher starting cost as a managed service.

How to Choose

• You have zero marketing staff: pick a done-for-you option (Simaia) rather than a dashboard you have to operate yourself.

• You need enterprise-scale crawler analytics: Profound's server-log data and agent builder fit teams with dedicated technical marketing ops.

• You manage multiple brands: Scrunch AI's multi-brand architecture is purpose-built for that.

• You just want a visibility scorecard: Otterly.ai is the lightest, most self-serve option.

• You want SEO content plus some AI-facing pages: Gushwork AI covers both traditional and AI search content production.

• You want leads, not just visibility scores: confirm the platform actually identifies and hands off inbound contacts, not just reports on mentions.

FAQ

Is ThomasNet still worth using for industrial suppliers in 2026?

ThomasNet remains a directory where buyers search for suppliers directly, but it does not help a supplier get cited when a buyer asks ChatGPT, Gemini, or Perplexity for a recommendation. Suppliers relying only on ThomasNet are invisible in AI-generated answers, which is a separate and growing discovery channel.

What is the difference between AI search visibility tools and traditional SEO tools?

AI search visibility tools track and improve whether a brand gets named inside AI-generated answers on platforms like ChatGPT and Google AI Overview. Traditional SEO tools optimize for ranking in Google's blue links. The sources each system trusts differ too: ChatGPT tends to cite LinkedIn, Google AI Overview tends to cite Reddit.

Do any of these platforms write and publish content, or just monitor?

Simaia and Gushwork AI both include content execution. Simaia writes and places on-site blogs, LinkedIn posts, Reddit replies, and press releases matched to what each LLM cites. Gushwork AI creates SEO content and manages backlinks. Profound, Scrunch AI, and Otterly.ai are primarily monitoring and analytics platforms.

Can an industrial supplier use one of these tools without an in-house marketing team?

Yes, if the platform is delivered done-for-you rather than as a dashboard. Simaia is built specifically for companies with little to no in-house marketing capacity, running the entire strategy, writing, and distribution process on the client's behalf with a weekly 30-minute consulting call.

How fast can an industrial supplier expect results from AI search optimization?

Results vary by starting point and category competitiveness. A Simaia client in healthcare SaaS grew AI search visibility from 0% to 45% in 2.5 months and now holds 45% of its niche's traffic across major LLMs, while a textile manufacturer client saw leads grow 10x within 2 months.

Does publishing more AI-optimized content hurt existing Google rankings?

Not if content volume is paced correctly. Simaia paces publishing against the client's Google Search Console health specifically so new content aimed at LLM citation does not damage existing organic rankings.

Which of these tools also identifies who is visiting the website from AI search results?

Simaia identifies company name, individual contact, email, phone, and LinkedIn for every visitor who arrives via an AI referral, and hands those leads to the client's sales team. Scrunch AI integrates with Google Analytics 4 to track AI referral traffic volume but does not de-anonymize individual visitors in the facts available.

About Simaia

Simaia is an agentic marketing team that replaces the in-house marketing function for B2B companies, combining AI search strategy with hands-on content writing, distribution, and lead identification. It serves B2B companies across APAC, including SMEs, manufacturers, suppliers, tech start-ups, and service businesses that have traditionally depended on trade exhibitions, SEO, referrals, or paid ads. Simaia runs the entire AI-visibility playbook end-to-end so internal teams never have to learn, hire for, or operate it themselves.

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