Yes. If your products use WooCommerce attributes for action (slow, medium, fast, extra fast) and power (ultralight through extra heavy), the bot reads them directly from postmeta. An angler asking for a medium-heavy fast-action rod gets the in-stock matches in one reply. Custom fields for length, line rating, and lure range are picked up the same way, so the bot can quote a full rod profile without scrolling the product page.

If the catalog tags rods as casting or spinning and you publish recommended reel size for each rod, the bot can suggest a pairing from your in-stock reels. The recommendation stays grounded in published guidance rather than the bot's training data. For shops that maintain a structured rod-and-reel pairing chart, this is the kind of customer help that historically required an experienced sales associate; the chatbot makes it self-serve.

Yes. Crankbait diving depth, jig head weight, and swimbait swim depth can live in product attributes. An angler asking "what crankbait runs 8 to 10 feet" gets a list of in-stock models with colors and prices. The bot does not invent depth ranges for products that do not have them, so the catalog has to publish those numbers; once it does, the bot uses them faithfully.

If your line products list breaking strength, diameter, and intended use, the bot can compare two lines for an angler. A customer asking "what 15 lb fluoro do you have for clear water" gets in-stock options with diameter and abrasion-resistance notes. For shops carrying multiple brands, the bot can quote brand-specific differences as documented without editorializing on which brand is better.

If your returns policy lists "reels spooled with line are not returnable," the bot quotes that verbatim. This is one of the most common dispute sources in tackle, and the chatbot is the most consistent way to surface the rule before purchase. The bot can also walk the customer through your spooling service if you offer one, so they get the reel pre-spooled correctly and the return question never comes up.

Drop your warranty matrix into the chatbot's context. The bot can then explain that Shimano routes through their service center, that Daiwa has a 1-year limited warranty on most reels, and what your shop's role is at each step. The disclosure trail in chat logs is useful when warranty cases escalate. The bot stays factual: it quotes the policy, it does not promise outcomes the brand has not committed to.

In your WordPress database. Each message is logged with model name, token usage, and page URL, so you can audit answers and improve the system prompt. Nothing routes through Sleek infrastructure: the data path is browser to WordPress to your model provider on your API key. For shops with EU customers, this keeps the data-residency commitment simple, and conversations never appear in a third-party chatbot vendor's dataset.

Multibot lets you run several bots with different prompts and display rules. A fly-fishing bot can lean into rod weight, line taper, and hatch-matching; a bass-fishing bot can focus on jigs, crankbait depth, and seasonal patterns. Display conditions scope each bot to the right section by category, tag, URL pattern, or even seasonal collection. Customers see the right specialist at the right moment without juggling chatbot vendors.