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How to Integrate Lovable with Ubersuggest

To integrate Ubersuggest with Lovable, store your Ubersuggest API key in Cloud → Secrets and create an Edge Function that proxies calls to the Ubersuggest data API. Ubersuggest is the budget-friendly SEO tool for startups — keyword suggestions, traffic estimates, and domain overviews at a fraction of the cost of Ahrefs or SEMrush. Unlike SEMrush which is enterprise-grade, Ubersuggest is accessible to indie founders and early-stage teams building SEO-informed content tools with Lovable.

What you'll learn

  • How to find your Ubersuggest API key and store it in Lovable Cloud → Secrets
  • How to create an Edge Function that fetches keyword suggestions and search volume from Ubersuggest
  • How to retrieve domain traffic overview data from the Ubersuggest API
  • How to build a Lovable keyword research interface that uses Ubersuggest data
  • When to use Ubersuggest versus Ahrefs or SEMrush for SEO data in a startup Lovable app
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Intermediate17 min read25 minutesMarketingMarch 2026RapidDev Engineering Team
TL;DR

To integrate Ubersuggest with Lovable, store your Ubersuggest API key in Cloud → Secrets and create an Edge Function that proxies calls to the Ubersuggest data API. Ubersuggest is the budget-friendly SEO tool for startups — keyword suggestions, traffic estimates, and domain overviews at a fraction of the cost of Ahrefs or SEMrush. Unlike SEMrush which is enterprise-grade, Ubersuggest is accessible to indie founders and early-stage teams building SEO-informed content tools with Lovable.

Add keyword research and SEO data to Lovable with Ubersuggest's budget-friendly API

Ubersuggest was acquired by Neil Patel in 2017 and rebuilt from a basic keyword tool into a full-featured SEO suite covering keyword research, content ideas, site audits, rank tracking, and competitor analysis. Its pricing — a lifetime deal option and monthly plans starting under $30 — makes it one of the most accessible SEO data platforms for indie founders and early-stage startups who need keyword and traffic data without the $100-400/month cost of enterprise SEO tools. If you are building a content strategy app, a marketing dashboard, or an SEO reporting tool in Lovable, Ubersuggest provides usable data at startup-friendly prices.

Lovable has no native Ubersuggest connector, so all data retrieval flows through a server-side Edge Function. Your Lovable app requests keyword data through the frontend, the Edge Function calls the Ubersuggest API with your API key, and the results are returned to display in your interface. The API key stays in Cloud → Secrets and never reaches the browser — this is critical because API keys in browser code are trivially extractable.

Ubersuggest's API provides endpoints for keyword suggestions (related keywords, questions, prepositions), keyword overview (search volume, CPC, competition), content ideas, and domain traffic overview. Most endpoints accept a keyword or domain as the primary parameter along with a country code to scope the results. Response data includes search volume, SEO difficulty scores, paid difficulty scores, CPC estimates, and related keyword arrays. This guide walks through the complete setup from API key acquisition to a working keyword research interface in Lovable.

Integration method

Edge Function Integration

Ubersuggest has no native Lovable connector. Keyword data, traffic estimates, and content suggestions are fetched via a Lovable Edge Function that calls the Ubersuggest API. The API key is stored in Cloud → Secrets and accessed via Deno.env.get(), keeping credentials server-side and preventing CORS errors from direct browser API calls.

Prerequisites

  • A Lovable project with Lovable Cloud enabled (Edge Functions require Lovable Cloud)
  • An Ubersuggest account with API access — API access requires a paid Ubersuggest plan (Individual at $29/month or higher, or a lifetime deal)
  • Your Ubersuggest API key (Ubersuggest dashboard → API → API Key or from your account settings)
  • Understanding of basic SEO metrics: search volume, SEO difficulty (keyword competition), CPC (cost per click for paid search)
  • A use case in mind — keyword research tool, content planner, competitor analysis, or SEO dashboard

Step-by-step guide

1

Get your Ubersuggest API key

Ubersuggest provides API access on paid plans. Here is how to find your API key. Log in to your Ubersuggest account at app.neilpatel.com. Click your profile or account icon in the navigation. Look for an 'API' or 'API Key' section in your account settings or profile page. Your API key is a string that you include in the Authorization header of API requests. If you do not see an API section, verify your plan includes API access — the Individual plan ($29/month or lifetime deal equivalent) includes API access. Business and Enterprise plans also include API access. Ubersuggest's API documentation is available at neilpatel.com/ubersuggest/api or in the API section of your dashboard. Review the available endpoints — the key ones for Lovable integrations are: - GET /api/keywords/v2/keywords-by-keyword — keyword suggestions by seed keyword - GET /api/keywords/v2/keywords-by-domain — keywords a domain ranks for - GET /api/traffic-by-domain/v1 — domain traffic overview - GET /api/content-ideas/v1 — content ideas for a keyword All endpoints require your API key as either a query parameter or in the Authorization header — check the current API documentation for the exact authentication format as it can change between API versions. Have your API key ready before the next step.

Pro tip: Ubersuggest has API rate limits based on your plan tier. The Individual plan typically allows a limited number of API calls per day. For a production Lovable app with multiple users making keyword searches, check the rate limits for your plan and implement caching in Supabase to avoid hitting limits — store keyword results in a database table with a TTL and return cached results for repeat queries.

Expected result: You have your Ubersuggest API key ready to store as a Lovable secret.

2

Add Ubersuggest credentials to Lovable Cloud Secrets

Store your Ubersuggest API key in Lovable's Cloud Secrets panel. In your Lovable project, click the '+' icon at the top of the editor to open the Cloud panel. Click the 'Secrets' tab. Add one secret: Name: UBERSUGGEST_API_KEY, Value: your Ubersuggest API key. This is the only credential you need for the Ubersuggest integration — unlike some APIs that require separate client IDs or workspace identifiers, Ubersuggest authentication is a single API key. For production Lovable apps with multiple users, consider also adding a UBERSUGGEST_DAILY_LIMIT secret with your plan's daily API call limit as a number. Your Edge Function can track calls in Supabase and return cached results when the limit is close to being reached, preventing API errors that would break the user experience. SEO data from Ubersuggest does not change hourly — keyword search volumes are updated monthly and traffic estimates weekly. Caching responses in Supabase for 24-48 hours is a good practice that dramatically reduces API calls while keeping data reasonably fresh.

Pro tip: Ubersuggest search volume data reflects Google US search data by default. If your Lovable app targets users in other countries, always pass the countryCode parameter (e.g., 'gb' for UK, 'de' for Germany, 'au' for Australia) to get localized search volume data. US data can be very misleading for non-US market apps.

Expected result: UBERSUGGEST_API_KEY appears in your Cloud → Secrets panel with the value masked.

3

Create the Ubersuggest keyword research Edge Function

Create the Edge Function that fetches keyword and domain data from Ubersuggest. The Edge Function handles multiple query types based on an action parameter, keeping all Ubersuggest API calls behind a single deployed function. For keyword suggestions, call GET https://app.neilpatel.com/api/keywords/v2/keywords-by-keyword with parameters keyword (the seed keyword), countryCode (ISO country code), language (language code), and count (number of suggestions to return, typically 50-200). The response includes an array of keyword objects with keyword_text, sv (search volume), sd (SEO difficulty), pd (paid difficulty), and cpc fields. For domain traffic overview, call GET https://app.neilpatel.com/api/traffic-by-domain/v1 with the domain parameter (e.g., 'example.com' without https://). The response includes estimated monthly organic traffic, number of organic keywords, and domain authority. The Ubersuggest API may require the API key in a specific header format — check the current documentation. Common patterns include Authorization: Bearer {key} or a custom header. The Edge Function uses a configurable header approach. Important: always handle Ubersuggest's rate limit responses (429 status) gracefully in your Edge Function — return a clear message to the frontend when the limit is hit rather than returning a confusing error.

Lovable Prompt

Create an Edge Function called ubersuggest-seo at supabase/functions/ubersuggest-seo/index.ts. Handle action='keyword-suggestions' (accepts keyword, countryCode) and action='domain-overview' (accepts domain, countryCode). Use UBERSUGGEST_API_KEY from Deno env. For keywords, call the Ubersuggest keywords-by-keyword endpoint. For domain overview, call the traffic-by-domain endpoint. Handle 429 rate limit errors with a helpful message. Include CORS headers.

Paste this in Lovable chat

supabase/functions/ubersuggest-seo/index.ts
1import { serve } from 'https://deno.land/std@0.168.0/http/server.ts'
2
3const corsHeaders = {
4 'Access-Control-Allow-Origin': '*',
5 'Access-Control-Allow-Headers': 'authorization, x-client-info, apikey, content-type',
6}
7
8const BASE = 'https://app.neilpatel.com/api'
9
10serve(async (req) => {
11 if (req.method === 'OPTIONS') {
12 return new Response('ok', { headers: corsHeaders })
13 }
14
15 try {
16 const body = await req.json()
17 const { action } = body
18
19 const apiKey = Deno.env.get('UBERSUGGEST_API_KEY')
20 if (!apiKey) throw new Error('Missing required secret: UBERSUGGEST_API_KEY')
21
22 const authHeaders = {
23 Authorization: `Bearer ${apiKey}`,
24 'Content-Type': 'application/json',
25 }
26
27 const handleRateLimit = (res: Response) => {
28 if (res.status === 429) {
29 throw new Error('Ubersuggest API rate limit reached. Please try again later or check your plan limits.')
30 }
31 }
32
33 if (action === 'keyword-suggestions') {
34 const { keyword, countryCode = 'us', count = 100 } = body
35 if (!keyword) throw new Error('keyword is required')
36
37 const params = new URLSearchParams({
38 keyword: encodeURIComponent(keyword),
39 countryCode,
40 language: 'en',
41 count: String(count),
42 })
43
44 const res = await fetch(`${BASE}/keywords/v2/keywords-by-keyword?${params}`, { headers: authHeaders })
45 handleRateLimit(res)
46
47 if (!res.ok) {
48 const err = await res.json().catch(() => ({}))
49 throw new Error(`Ubersuggest keyword error ${res.status}: ${JSON.stringify(err)}`)
50 }
51
52 const data = await res.json()
53 const keywords = (data.keywords || data || []).map((k: Record<string, unknown>) => ({
54 keyword: k.keyword_text || k.keyword,
55 searchVolume: k.sv || 0,
56 seoDifficulty: k.sd || 0,
57 paidDifficulty: k.pd || 0,
58 cpc: k.cpc || 0,
59 }))
60
61 return new Response(
62 JSON.stringify({ success: true, keywords, total: keywords.length }),
63 { headers: { ...corsHeaders, 'Content-Type': 'application/json' } }
64 )
65 }
66
67 if (action === 'domain-overview') {
68 const { domain, countryCode = 'us' } = body
69 if (!domain) throw new Error('domain is required')
70
71 const cleanDomain = domain.replace(/^https?:\/\//, '').replace(/\/.*/, '')
72 const params = new URLSearchParams({ domain: cleanDomain, countryCode })
73
74 const res = await fetch(`${BASE}/traffic-by-domain/v1?${params}`, { headers: authHeaders })
75 handleRateLimit(res)
76
77 if (!res.ok) {
78 const err = await res.json().catch(() => ({}))
79 throw new Error(`Ubersuggest domain error ${res.status}: ${JSON.stringify(err)}`)
80 }
81
82 const data = await res.json()
83 return new Response(
84 JSON.stringify({
85 success: true,
86 domain: cleanDomain,
87 monthlyVisits: data.estimated_visits || data.organic_monthly_traffic || 0,
88 organicKeywords: data.organic_keywords_count || 0,
89 domainAuthority: data.domain_authority || data.da || 0,
90 }),
91 { headers: { ...corsHeaders, 'Content-Type': 'application/json' } }
92 )
93 }
94
95 throw new Error(`Unknown action: ${action}. Use 'keyword-suggestions' or 'domain-overview'.`)
96 } catch (error) {
97 return new Response(
98 JSON.stringify({ error: error.message }),
99 { status: error.message.includes('rate limit') ? 429 : 500, headers: { ...corsHeaders, 'Content-Type': 'application/json' } }
100 )
101 }
102})

Pro tip: The Ubersuggest API response field names may differ between API versions and can change without notice. The Edge Function normalizes the response using fallback field names (e.g., k.sv || 0 and k.keyword_text || k.keyword) to handle minor API version differences gracefully.

Expected result: The ubersuggest-seo Edge Function is deployed. Test keyword-suggestions with a common keyword like 'email marketing' and verify you receive an array of keyword objects with volume and difficulty data. Test domain-overview with a known domain.

4

Build the keyword research interface in your Lovable app

With the Edge Function deployed, build the keyword research interface. The most common use case for Ubersuggest in a Lovable app is a keyword research or content planning tool — a form where users input a seed keyword and see related keyword opportunities with search volumes and difficulty scores. The keyword results table should be sortable — users typically want to sort by search volume (to find high-traffic keywords) or SEO difficulty (to find low-competition opportunities). A low-difficulty keyword with decent search volume is the SEO sweet spot for early-stage content strategies. Consider adding a visual difficulty indicator — a colored bar or dot showing whether SEO difficulty is Easy (green, 0-29), Medium (yellow, 30-59), or Hard (red, 60+). This gives users instant visual feedback without needing to interpret raw numbers. For apps where SEO research is a regular workflow, implement client-side caching of keyword results in React state so that navigating back to a previous search does not re-call the API. You can also store results in Supabase for 24 hours of server-side caching to reduce API calls across multiple users.

Lovable Prompt

Create a keyword research page with a search input for seed keywords and a country selector dropdown. When submitted, call the ubersuggest-seo Edge Function with action='keyword-suggestions'. Display results in a sortable table with columns: Keyword, Monthly Searches, SEO Difficulty (colored Easy/Medium/Hard), and CPC. Show a loading spinner. Add a 'Copy keywords' button that copies all keyword names to clipboard. Handle the rate limit error with 'Daily API limit reached. Please try again tomorrow.'

Paste this in Lovable chat

src/components/KeywordResearch.tsx
1import { useState } from 'react'
2import { supabase } from '@/lib/supabase'
3import { Button } from '@/components/ui/button'
4import { Input } from '@/components/ui/input'
5import { Select, SelectTrigger, SelectValue, SelectContent, SelectItem } from '@/components/ui/select'
6import { toast } from '@/components/ui/use-toast'
7
8interface Keyword { keyword: string; searchVolume: number; seoDifficulty: number; cpc: number }
9
10const difficultyLabel = (sd: number) => {
11 if (sd < 30) return { label: 'Easy', color: 'text-green-600' }
12 if (sd < 60) return { label: 'Medium', color: 'text-yellow-600' }
13 return { label: 'Hard', color: 'text-red-600' }
14}
15
16export const KeywordResearch = () => {
17 const [seed, setSeed] = useState('')
18 const [country, setCountry] = useState('us')
19 const [keywords, setKeywords] = useState<Keyword[]>([])
20 const [loading, setLoading] = useState(false)
21 const [sortBy, setSortBy] = useState<keyof Keyword>('searchVolume')
22
23 const handleSearch = async (e: React.FormEvent) => {
24 e.preventDefault()
25 setLoading(true)
26 try {
27 const { data, error } = await supabase.functions.invoke('ubersuggest-seo', {
28 body: { action: 'keyword-suggestions', keyword: seed, countryCode: country },
29 })
30 if (error) throw error
31 setKeywords(data.keywords || [])
32 } catch (err: unknown) {
33 const msg = err instanceof Error ? err.message : 'Search failed'
34 toast({ title: msg.includes('rate limit') ? 'Daily API limit reached' : 'Search failed', variant: 'destructive' })
35 } finally {
36 setLoading(false)
37 }
38 }
39
40 const sorted = [...keywords].sort((a, b) => (b[sortBy] as number) - (a[sortBy] as number))
41
42 return (
43 <div className="space-y-6">
44 <form onSubmit={handleSearch} className="flex gap-2 max-w-xl">
45 <Input value={seed} onChange={(e) => setSeed(e.target.value)} placeholder="Enter seed keyword" required />
46 <Select value={country} onValueChange={setCountry}>
47 <SelectTrigger className="w-28"><SelectValue /></SelectTrigger>
48 <SelectContent>
49 <SelectItem value="us">US</SelectItem>
50 <SelectItem value="gb">UK</SelectItem>
51 <SelectItem value="ca">CA</SelectItem>
52 <SelectItem value="au">AU</SelectItem>
53 </SelectContent>
54 </Select>
55 <Button type="submit" disabled={loading}>{loading ? 'Searching...' : 'Search'}</Button>
56 </form>
57 {keywords.length > 0 && (
58 <div className="overflow-x-auto">
59 <table className="w-full text-sm">
60 <thead>
61 <tr className="border-b">
62 <th className="text-left py-2">Keyword</th>
63 <th className="text-right py-2 cursor-pointer" onClick={() => setSortBy('searchVolume')}>Volume {sortBy === 'searchVolume' ? '▼' : ''}</th>
64 <th className="text-right py-2 cursor-pointer" onClick={() => setSortBy('seoDifficulty')}>Difficulty {sortBy === 'seoDifficulty' ? '▼' : ''}</th>
65 <th className="text-right py-2 cursor-pointer" onClick={() => setSortBy('cpc')}>CPC {sortBy === 'cpc' ? '▼' : ''}</th>
66 </tr>
67 </thead>
68 <tbody>
69 {sorted.map((kw, i) => {
70 const diff = difficultyLabel(kw.seoDifficulty)
71 return (
72 <tr key={i} className="border-b hover:bg-muted/40">
73 <td className="py-2">{kw.keyword}</td>
74 <td className="text-right py-2">{kw.searchVolume.toLocaleString()}</td>
75 <td className={`text-right py-2 font-medium ${diff.color}`}>{diff.label} ({kw.seoDifficulty})</td>
76 <td className="text-right py-2">${kw.cpc.toFixed(2)}</td>
77 </tr>
78 )
79 })}
80 </tbody>
81 </table>
82 </div>
83 )}
84 </div>
85 )
86}

Pro tip: For Lovable apps where multiple users run keyword searches, RapidDev's team can help implement a Supabase-backed caching layer that stores keyword research results for 24 hours, dramatically reducing API usage and preventing rate limit issues during peak usage.

Expected result: The keyword research interface is live. Entering a seed keyword and clicking Search displays a sortable table of related keywords with search volumes, difficulty ratings, and CPC estimates from Ubersuggest.

Common use cases

Build a keyword research tool that shows Ubersuggest suggestions and volumes

Create a keyword research interface in Lovable where users type a seed keyword and see a list of related keywords with search volumes, SEO difficulty scores, and CPC estimates from Ubersuggest. Users can browse keyword suggestions, filter by difficulty, and export the data — all powered by the Ubersuggest API through the Edge Function.

Lovable Prompt

Create an Edge Function called ubersuggest-keywords that accepts { keyword, countryCode } and calls the Ubersuggest API to return keyword suggestions with search volume, SEO difficulty, and CPC. Use UBERSUGGEST_API_KEY from secrets. Return an array of keyword objects. Then create a keyword research page in my app with a search input, a results table showing keyword, volume, difficulty, and CPC columns, and a loading state.

Copy this prompt to try it in Lovable

Display domain traffic overview for competitor analysis

Build a competitive analysis tool in Lovable that accepts a competitor's domain and shows their estimated monthly traffic, top keywords, and traffic trend from Ubersuggest. Users can research competitors' SEO performance and identify keyword gaps — topics the competitor ranks for that your content does not.

Lovable Prompt

Create an Edge Function that accepts a domain name and calls Ubersuggest's domain overview API endpoint. Return the estimated monthly organic traffic, top ranking keywords, and domain authority score. Use UBERSUGGEST_API_KEY from secrets. Then add a competitor analysis section to my marketing dashboard that accepts a URL input and displays the domain overview data in cards.

Copy this prompt to try it in Lovable

Suggest content ideas based on target keywords for a content planning app

Build a content planning feature in Lovable where users input their target topic and Ubersuggest returns article ideas, related questions, and title suggestions. The Edge Function calls Ubersuggest's content ideas endpoint which returns top-performing articles around the keyword with their estimated traffic and social shares.

Lovable Prompt

Create an Edge Function that accepts a keyword and calls Ubersuggest's content ideas API to return article title suggestions, estimated traffic, and social shares. Use UBERSUGGEST_API_KEY. Return an array of { title, url, estimatedVisits, shares } objects. Add a content ideas section to my editorial calendar app that shows a list of suggested article titles based on the user's target keyword.

Copy this prompt to try it in Lovable

Troubleshooting

Ubersuggest API returns 401 Unauthorized

Cause: The UBERSUGGEST_API_KEY is incorrect, or the Authorization header format does not match the current Ubersuggest API version requirements.

Solution: Log in to your Ubersuggest account and verify the API key in your account settings. Also check the current Ubersuggest API documentation for the exact authorization header format — it may use a custom header name or a different Bearer format. Update UBERSUGGEST_API_KEY in Cloud → Secrets and trigger an Edge Function redeployment.

Edge Function returns 429 rate limit error mid-session

Cause: Your Ubersuggest plan has a daily API call limit and it has been reached. Each keyword search counts as one API call, and users performing multiple searches can quickly exhaust daily limits.

Solution: Implement result caching in Supabase — store keyword results with the keyword and country as the cache key and a created_at timestamp. On each search, check the cache first and return cached results if they are less than 24 hours old. Only call the Ubersuggest API if no cached result exists. This can reduce API calls by 70-90% for repeat searches.

Keyword results return but search volumes are all 0 or unexpectedly low

Cause: The country code passed to the API is incorrect or not supported, causing the API to return data for a market with low search volume, or the keyword has genuinely low search volume in the requested market.

Solution: Verify the country code is a valid 2-letter ISO code (us, gb, ca, au, de, fr, etc.). Also try the search with countryCode='us' to get baseline US data — if volumes appear for the US but not other markets, the issue is the market selection. Some keywords are regionally popular and have low or no search volume in certain countries.

Domain overview returns 0 for all metrics even for well-known domains

Cause: The domain is being passed with the https:// prefix or with trailing slashes, which some Ubersuggest endpoints do not accept. The Edge Function strips these, but if you are calling the API differently, the domain format matters.

Solution: Verify the domain is passed as a clean hostname without protocol or path (e.g., 'example.com' not 'https://www.example.com/page'). The Edge Function automatically cleans the domain using domain.replace(/^https?:\/\//, '').replace(/\/.*/, ''), but double-check the input from your frontend form.

Best practices

  • Cache keyword research results in Supabase for 24 hours — Ubersuggest data is updated monthly, so repeat queries for the same keyword return the same data and consume your daily API limit unnecessarily.
  • Always pass a country code that matches your target market — US search volumes can be 5-10x higher than UK or Australian volumes for the same keyword, making US data misleading for non-US businesses.
  • Display SEO difficulty as a categorical label (Easy/Medium/Hard) alongside the numeric score — most non-technical users find 'Easy (22)' more actionable than '22/100' when evaluating keyword opportunities.
  • Handle the 429 rate limit error with a user-friendly message and an estimated reset time rather than a generic error — 'Daily API limit reached. Keyword data resets tomorrow.' is much less frustrating than a red error toast.
  • For multi-user Lovable apps, track API call counts in a Supabase table and implement per-user daily limits to prevent a single heavy user from exhausting your daily Ubersuggest API budget.
  • Combine Ubersuggest keyword data with Google Search Console data (available via another Lovable integration) to cross-reference estimated volumes with your actual search impressions — GSC data is more reliable for keywords you already rank for.
  • Do not use Ubersuggest as a sole data source for business-critical SEO decisions — cross-validate high-stakes keyword choices with at least one other data source (Google Ads Keyword Planner, Google Search Console) given the inherent limitations of third-party search volume estimates.

Alternatives

Frequently asked questions

How accurate is Ubersuggest search volume data compared to Ahrefs or SEMrush?

Ubersuggest pulls data from Google Keyword Planner as its primary source (similar to most third-party SEO tools) and applies its own modeling. Volume accuracy is generally comparable to other budget tools, though typically less precise than Ahrefs or SEMrush for long-tail or niche keywords. For mainstream keywords with significant search volume, Ubersuggest is reliable enough for content strategy decisions. For precise volume data on competitive or niche keywords, enterprise tools provide more accurate estimates.

Does Ubersuggest have a free tier that includes API access?

Ubersuggest has a limited free tier for the web interface but API access requires a paid plan. The Individual plan starts at $29/month (or a lifetime deal option ranging from $120-$400 depending on current promotions). The API call limits vary by plan tier. For a production Lovable app, the Individual plan is usually sufficient for moderate usage with caching implemented.

What is the difference between Ubersuggest and Google Search Console for SEO data?

Google Search Console shows you actual data about keywords your site already ranks for — real clicks, real impressions, real positions from Google. Ubersuggest shows estimated data about any keyword or domain, including those you do not yet rank for. For keyword research and competitive analysis, use Ubersuggest. For monitoring your own performance and finding optimization opportunities on pages you already rank for, use Google Search Console data. The two tools are complementary.

How do I handle Ubersuggest API rate limits in a multi-user Lovable app?

Implement a server-side caching layer in Supabase: when a keyword search is made, check if there is a cached result in a keywords_cache table from within the last 24 hours. If yes, return the cached data without calling the Ubersuggest API. If no, call the API and store the result in the cache. This can reduce API calls by 80%+ for apps where users commonly research similar keywords. Also consider per-user daily limits enforced at the Edge Function level.

Can I use Ubersuggest to track keyword rankings for my Lovable app's domain?

Ubersuggest does support rank tracking for domains via the web interface and potentially via API. For tracking your own domain's keyword rankings, the domain overview endpoint returns your site's top-ranking keywords. For ongoing rank monitoring, you would need to call this endpoint periodically and store the results in Supabase to track changes over time — there is no webhook or push mechanism for rank change notifications.

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