SuggestAPI SuggestAPI
Search Acceleration Layer

Connect any search engine.

Get autocomplete, query understanding, caching, analytics, knowledge graphs, AI retrieval, and optimization — without rebuilding your search stack.

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Layer-in-front architecture diagram showing clients on the left, the SuggestAPI edge layer in the center, and search backends such as Algolia, Typesense, and Elastic on the right.

Layer in front

Clients connect to SuggestAPI first. Your search backend stays underneath.

Why is this better?

Instead of rebuilding search, you add one layer in front. Your engine stays — SuggestAPI handles optimization, routing, analytics, and caching on top.

Search acceleration infographic showing edge cache, query rewrite, and smart routing delivering 30ms end-to-end search time compared with 280ms without SuggestAPI.

Edge acceleration

Cache, rewrite, and route at the edge — 30ms end-to-end versus 280ms without the layer.

Search optimization layer

Improve relevance, typo recovery, and intent-aware ranking on top of the engine you already run — without re-indexing or switching vendors.

Query routing layer

Route queries to Algolia, Typesense, Elastic, or Meilisearch from one integration. Compare backends and swap when you are ready.

Analytics layer

See what shoppers search for, what they click, and what converts — in one place, across every backend you try.

Caching layer

Serve frequent queries from the edge so autocomplete and search feel instant, even when your origin index is slow or far away.

Works with your stack

30ms

Average latency reduction at the edge

Zero

Migration downtime required

Millions

Queries accelerated every month

What SuggestAPI is — and isn't

We don't ask you to replace your search engine.

SuggestAPI sits in front of the search stack you already run — accelerating queries, enriching results, and making your catalog agent-ready without a replatform.

SuggestAPI is not

  • A new search engine to migrate to
  • A reason to rip out Algolia, Typesense, or Elastic
  • Another index you have to rebuild from scratch

SuggestAPI is

  • A layer in front of your existing search stack
  • Acceleration for the search experience you already ship
  • Agent-ready discovery on top — connect in days, not quarters

See how it works

How it works

A layer in front — not a replacement.

Queries hit the SuggestAPI edge network first. We enrich, cache, and route to the search engine you already run — Algolia, Typesense, Elastic, or Meilisearch.

Clients send queries to the SuggestAPI edge layer for rewrite and caching, then results route to your existing search backend such as Algolia, Typesense, or Elastic.
SuggestAPI sits between clients and your search backend Query in → enrich → route out Clients Storefront AI agents SuggestAPI Edge layer Rewrite · cache · route Analytics & A/B backends Your backend Algolia Typesense · Elastic

Step 1

Clients send queries

Step 2

SuggestAPI enriches & routes

Step 3

Your search engine responds

Connect in minutes

Point your app at SuggestAPI instead of calling your search backend directly.

// Route search through SuggestAPI
const response = await fetch(
  'https://api.suggestapi.com/query',
  {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${API_KEY}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      query: 'waterproof hiking boots',
      backend: 'algolia', // or typesense, elastic
    }),
  }
);

const { suggestions, products } = await response.json();

One endpoint. Swap backends without rebuilding your storefront. Framework agnostic — works from any language or edge runtime.

See the full integration path →

One layer on top of your stack. Three jobs.

Your search engine stays. SuggestAPI sits in front — accelerating queries, powering agent discovery, and adding semantic knowledge without a replatform.

Knowledge graph and semantic search diagram connecting query concepts to enriched intent, comparing 12 keyword results with 847 knowledge-enriched results.

Semantic intelligence

Knowledge graphs connect meaning — 847 relevant results versus 12 keyword matches.

Search acceleration

Accelerate the search you already run

Keep Algolia, Typesense, Elasticsearch, or Meilisearch. SuggestAPI routes in front with query rewrite, edge caching, analytics, and knowledge-aware ranking — your index, our acceleration.

Live in ~30 minutes. Zero migration.

Agent discovery

Make your catalog agent-ready

AI agents shop before checkout. SuggestAPI gives shopping assistants real product data from your live catalog — so they can find, compare, and recommend without scraping your site.

Discovery is the new SEO. Payments stay on your rails.

How the agent connects →

Knowledge gateway

Search products and meaning

Go beyond titles and SKUs. Index entities, definitions, and business context so agents and apps can answer by task and intent — not just keyword match.

Facts, relationships, and meaning — searchable in one place.

Freedom to choose. Smarter over time.

Whether you're optimizing search you already have or building it for the first time, SuggestAPI adapts with you.

Backend freedom

Swap search services anytime

You're not locked to one vendor. Point SuggestAPI at Algolia today, Typesense tomorrow, or Elasticsearch next week — compare results side by side and see what actually performs for your catalog.

One integration. Many backends. Your choice.

Self-learning

Search that improves as people use it

SuggestAPI learns from queries, clicks, and conversions across your whole search experience — not trapped inside a single engine's silo. Ranking and suggestions get sharper over time.

One learning layer across every backend you try.

Starting from zero

No search yet? We can help with that too.

Don't have a strong search experience today — or any at all? SuggestAPI can power suggestions, typo tolerance, and ranking from day one. Add or swap a backend when you're ready, without rebuilding your app.

Start simple. Scale to any engine later.

Built for your team

The same search acceleration layer — product leaders get outcomes and control; engineering teams get one API and backend freedom.

For product leaders

Better discovery and agent-ready commerce — without replatform risk.

Keep the search engine you already run. Add SuggestAPI to improve what shoppers and AI assistants find — from the search bar through checkout-ready product data.

  • Faster product discovery — typo-tolerant suggestions that guide shoppers to the right SKU, category, or collection.
  • Agent-ready catalogs — structured product data shopping assistants can compare, filter, and route to checkout.
  • No migration project — connect your catalog, improve the search bar, and go live in days — not quarters.
  • Merchandising & analytics — pins, boosts, and search performance in one layer instead of one vendor's silo.
Join waitlist See use cases

For engineering teams

One API in front of the stack you already run.

Wire storefront and agent clients to SuggestAPI once. Route queries through the edge, swap backends without rewriting your app, and return structured JSON everywhere.

What you integrate

  • Single endpoint — in front of Algolia, Typesense, Elastic, or Meilisearch.
  • Backend routing — compare engines, change defaults in config, not in client code.
  • Edge caching & rewrite — normalize typos and cache hot queries before your cluster.
  • Structured responses — one JSON shape for apps, analytics, and agents.

Example request

curl -X POST https://api.suggestapi.com/query \
  -H "Authorization: Bearer $SUGGESTAPI_KEY" \
  -d '{
    "query": "waterproof hiking boots",
    "backend": "typesense",
    "rewrite": true,
    "cache": true
  }'
View architecture Join waitlist

Agent-ready commerce

Make your catalog agent-ready.

Shopping assistants need structured product data — not keyword guesses from a web page. SuggestAPI translates your live catalog into responses agents can act on.

Agent-ready discovery comparison showing brittle HTML scraping versus structured JSON product responses for ChatGPT, Perplexity, and shopping assistants.

Agent-ready discovery

Structured product JSON for real agents — not brittle HTML scraping.

Traditional keyword search

User query

waterproof boots size 11

Generic category page match

Blog post mentioning boots

Unstructured HTML the agent must parse

SuggestAPI agent response

{
  "products": [
    {
      "id": "sku-8842",
      "title": "TrailGuard Waterproof Boot",
      "price": 149.00,
      "size": "11",
      "in_stock": true
    }
  ],
  "intent": "product_search"
}

Agents call agent.suggestapi.com — SuggestAPI routes to your search backend and returns normalized product objects.

How the agent connects →

Where teams plug in SuggestAPI

On top of the search and catalogs you already operate — not instead of them.

Ecommerce

Online stores

Help shoppers find the right products faster, even with typos or vague searches.

Product search

Large catalogs

Make big or technical catalogs easier to search without perfect spelling.

Marketplace

Multi-vendor catalogs

Search across sellers, brands, and categories — with relevance that holds up at scale.

Explore all use cases
Join waitlist

Join the SuggestAPI waitlist.

SuggestAPI is in private beta. When you're approved, create your account and get API keys.

Already have an account? Log in at app.suggestapi.com

1. Get invited

Use your access code or email invite from our team.

2. Sign up

Create your account at app.suggestapi.com.

3. Start building

Set up a project and integrate the API.

Ready to join?

Go to the app to enter your invite code or follow the link from your approval email.

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Questions or need access? Contact us