AI-Powered Search Suggestions
Move beyond basic autocomplete. Our AI suggestions anticipate user intent, guiding them to relevant results faster and more intuitively than ever before.
See It In Action
This demo features a model trained on over 1.1 million product titles from the Amazon ESCI dataset.
How It Works: A Smarter Approach
At its core, our AI suggestion system learns from your website's content—be it products, articles, or internal documents. It analyzes which words and concepts are meaningfully connected to offer users suggestions that are not just guesses, but intelligent, data-driven predictions that understand the user's intent.
Intuitive As-You-Type Predictions
As a user types, the system instantly analyzes the partial word and displays the most likely completion in a light gray "ghost text" directly in the search bar. This allows the user to accept the suggestion with a single keystroke (e.g., Right Arrow or Tab), dramatically speeding up the query process and reducing friction.
Context-Aware Phrase Completion
Unlike standard solutions that only append text, our suggestions are context-aware. The dropdown list can offer words to add at the beginning or insert between existing terms, helping users build more precise and effective queries on the fly. This transforms the search bar from a simple input field into an interactive query-building assistant.
For the Technically Inclined: The Result Guarantee
The key difference is that the model suggests terms based on co-occurrence patterns within the training dataset. This means a suggested query has a high probability of matching actual content and returning non-zero results. Generic language models, by contrast, might generate grammatically perfect but irrelevant queries that lead to dead ends for the user.
Dynamic Query Reformulation
This is our most powerful feature: if a user places their cursor on any word within the query, the system offers alternatives to replace it. These aren't just synonyms; they are contextually relevant options that are known to work well with the other words in the query, allowing for effortless exploration of related concepts.
For the Technically Inclined: Context is Everything
When a user clicks on a word like "red" in the query "red glasses," the AI doesn't just suggest random colors. It analyzes the full context ("glasses") and offers alternative colors based on the distribution of colors available for glasses in your product catalog. This ensures that every suggestion is not only linguistically sound but also directly relevant to the user's specific intent. The system generates these contextual suggestions for words before and after the cursor's position.
The TestMySearch Advantage
| Capability | Traditional Autocomplete | TestMySearch AI Suggestions |
|---|---|---|
| Core Logic | Simple prefix matching (e.g., "comp" → "computer"). It's a dictionary lookup. | Analyzes the relationship between words to predict the next logical term in the phrase, understanding language structure. |
| Context Awareness | None. Suggestions are context-blind and unaware of previously typed words. | Fully contextual. Suggestions are tailored to the entire query phrase, not just the last word. |
| Result Relevance | High risk of leading to zero-result pages, as it has no knowledge of the site's content. | Ensures suggestions lead to results by basing them on terms and phrases present in your actual content. |
| Flexibility | Can only append words to the end of the query. It is a one-way street. | Can suggest words to insert at the beginning, middle, or end, and can replace existing words with better alternatives. |
| User Guidance | Helps users avoid typos in a single word. It corrects spelling, but not intent. | Actively helps users construct and refine a complete, high-intent query, improving their ability to find what they need. |