# AI-Matched Similar Tenders - Find Past Versions and Closely Related Tenders > Discover the tenders most similar to the one you are studying, through precise AI semantic matching. Find past versions of the same tender and closely related tenders, and review their BOQs, proposal values, and awards to understand your competitors' pricing strategies. ## Find similar tenders the moment you study any tender For every tender you study, AI surfaces the most similar tenders through vector-based semantic matching. Discover past versions of the same tender and closely related ones, and open their BOQ data, proposal values, and awards alongside. *Try tender analysis now* *See how matching works* ## Pricing and bidding teams rely on our data We are proud of the trust of leading organizations in the Kingdom that rely on our analysis to study tenders and understand the market before pricing. ## What is the AI Similar Tenders feature? *Smart matching for every tender* - **Semantic matching, specific to each tender**: For every tender you study, we turn its content into a vector and compare it against millions of tenders in a vector database to surface the closest ones by meaning, not just by keyword overlap. - **Why you need it when studying a tender**: It reveals past versions of the same tender and the tenders most similar to it, along with their BOQs, proposal values, and awards, so you price knowing the market instead of guessing it. ## From tender text to a list of similar tenders in seconds *How matching works* We use vector-based semantic matching to find the tenders closest to yours, then link them to their full historical data. - **Turn the tender into a vector**: We analyze the tender name, description, activity, and items and turn them into a numeric representation (embedding) that captures their meaning. - **Search the vector database**: We compare your tender's vector against millions of tenders in the vector database and compute a similarity score for each. - **Link data and show results**: We rank the most similar tenders and link them to BOQs, proposal values, and awards for you to review directly. ## What you find in each similar-tender card *Anatomy of the card* Every similar tender is shown in a unified card that gathers the important data in one place. Here is what each part means. - **Tender name and reference number**: The title of the similar tender and its reference number to reach it directly on the Etimad platform. - **Semantic similarity score**: Reflects how close this tender is to yours based on vector matching; the higher it is, the closer the match. - **Tender status**: Shows the tender's current state (awarded, open, cancelled...) so you know whether award data is available. - **BOQ items count**: A quick indicator of how many BOQ items are available to review and compare against your tender's items. - **Proposal and award values**: The total monetary value of submitted proposals and the award value (monetary only, no item-level pricing details). - **Similarity bar and match source**: A visual representation of the similarity score, indicating the match was made semantically via AI. ## Why you might lose opportunities without similar tenders *Situations you know all too well* Finding past versions and related tenders manually is tedious and inaccurate, and these scenarios are familiar to anyone who prices a tender. - **You price a tender without knowing its past versions**: You later discover the same tender was issued before with prices and awards that could have guided your bid. - **Keyword search misses look-alike tenders**: Keyword search misses tenders that mean the same thing but are worded differently. - **You don't know who priced similar tenders**: You are unaware of past bidders on similar tenders, who are often your future competitors on the same type. - **You price with no reference for proposal values**: You enter the tender with no indication of the range of proposal and award values on comparable tenders. - **You waste time gathering BOQs**: You dig through multiple tenders to gather BOQ items instead of finding them linked in one place. - **You price from scratch every time**: You don't leverage your experience or accumulated market data because reaching it is exhausting. ## Everything you need to study similar tenders in one place *Data that helps you understand competitors* Beyond semantic matching, we link each similar tender to its full data so you can reverse-engineer pricing strategies yourself, with your own expertise. - **A clear similarity score per tender**: We show a semantic similarity percentage for each similar tender so you know precisely how close it is to yours. - **Past versions of the same tender**: We reveal earlier issuances of the same tender so you can compare specs, quantities, and awards over time. - **BOQs of similar tenders**: Open the BOQ items of comparable tenders to review and compare them against your tender's items. - **Proposal and award values**: View the monetary values of submitted proposals and awards (monetary value only) to build a market reference. ## How similar tenders help you price smarter *Enter pricing knowing the market* It is not just a list of tenders, but a complete reference that helps you understand competitors and pricing history before you submit your bid. *Start studying your tenders smartly* - **Understand your future competitors**: Past bidders on similar tenders are often your future competitors, so know them before you price. - **Build a pricing reference from the market**: Review proposal and award values and BOQs on similar tenders to form a realistic price range. - **Save hours of manual research**: All similar tenders and their data are linked automatically on the tender study page, with no exhausting search. ## We don't let AI guess prices for you *Our pricing philosophy* We give you the data and tools to price yourself, and we do not suggest a price for your financial proposal. Simply because pricing is an expert decision that needs context the model does not have. - **It doesn't know your company**: The model has no sufficient context about your costs, margins, and operational capacity to suggest a price that fits your situation. - **It doesn't know BOQ item pricing details**: Pricing BOQ items depends on actual costs, suppliers, and contracts that do not appear in tender data. - **It lacks the expertise of bidding and sales officers**: Reverse-engineering a pricing strategy is a human skill mastered by tendering and sales specialists, not an automated inference. - **It doesn't know each competitor's context**: The model has no sufficient context about the competitor who submitted a given bid to justify its value or generalize it to your tender. That is why we only present trustworthy data: proposal and award values (monetary value only), BOQs, and similar tenders, and we leave the pricing decision to your own expertise. ## Why semantic matching beats manual keyword search *The difference is clear* Manual keyword search misses tenders that are similar in meaning, while semantic matching surfaces those actually closest to yours. ## Set the criteria for the tenders you care about *Start from tender alerts* Receive the tenders that fit you, then study each one alongside its similar tenders and full data. Define your tender criteria to receive the right opportunities ## Choose the plan that fits your need for full access to all government tenders *Flexible pricing plans and guaranteed value* Every plan gives you full access to tenders, instant alerts, AI-powered analysis, and detailed data that helps you read the market with confidence, at competitive prices that ensure the highest value for what you pay. *Subscribe now and start studying your tenders instantly* lazy ## Never price a tender without seeing its peers Start studying your tenders with their similar tenders and full data, and enter pricing knowing the market. Subscribe now and study your tenders smartly ## Frequently asked questions about AI similar tenders Clear answers to the most important questions about semantic tender matching. - **How are similar tenders found?**: We turn your tender's content into a vector and compare it against millions of tenders in a vector database, then show the most semantically similar ones with a similarity score for each. - **What is the difference between semantic matching and keyword search?**: Keyword search looks for textual overlap only, while semantic matching understands meaning, so it finds similar tenders even if their words differ. - **Does it show past versions of the same tender?**: Yes, one of the feature's key uses is revealing earlier issuances of the same tender so you can compare specs, quantities, and awards over time. - **What data is available with each similar tender?**: You get the similarity score, BOQs, and proposal and award values (monetary value only), in addition to tender details and status. - **Do you suggest a price for the financial proposal?**: No. We give you the data and tools to price yourself, and we don't let AI guess the price because it lacks sufficient context about your company, BOQ item pricing details, and the expertise of bidding officers. - **Do proposal values include item-level pricing details?**: No, only the total monetary value of proposals and awards is available, not the pricing details of each item. - **How does it help me understand my competitors?**: Past bidders on similar tenders are often your future competitors, and reviewing their proposal values and BOQs helps you understand their direction. - **Is the feature specific to each tender?**: Yes, matching is computed for each tender you study individually to show the tenders closest to that specific one. - **Where do I find this feature?**: It appears automatically inside the tender study page within the AI Similar Tenders section. - **Is the feature available in all plans?**: Yes, the similar tenders feature is available within subscription plans for full access to tender data.