The AI SEO tool for devs building with agents

Give your agent real SEO data to rank your site.

One line gives Claude Code, Cursor, or any agent Google’s keyword research. Every page gets written against real demand, and once connected it knows your Search Console history and who the AI engines cite.

50 free tokens, no card. Keyword research works before you connect anything.
agentgrown.com
Clicks · 28d
6,636
Top-10 keywords
6,621
AI assistant visits
422
Recent wins
↑ 104 clicks/mo/programs/supabase, after the agent’s title rewrite3 wks ago
#4 in Google“vercel credits”, a new page built against 2.4k/mo demand6 wks ago
Cited by ChatGPT“best startup credit programs” now includes usthis week
↑ 104 clicks/mo

SEO decisions happen while you build.

01 · Connect once

One key per project, dropped into that repo’s MCP config. Keyword research works right away. Hook up Search Console whenever you want your own data in the mix.

02 · Build informed

While it writes a page or names a route, your agent checks real queries, volumes, and citations. Mid-task, unprompted. You never have to ask about SEO.

03 · Recommendations wait for you

We keep watching the data between sessions. Stored, scored recommendations are sitting there the next time your agent is in the code. No weekly ritual, no homework.

claude · mid-build, no seo prompt
> add a page for vercel’s startup program
Checked the keyword data. “vercel credits” gets 2.4k searches a month and you have no page in range; “vercel startup program” only gets 480. I’ll build the page around credits and cover the program in a section.
You already rank #9 for “netlify startup discount”, so I’m cross-linking from /netlify. One more thing: there’s a stored recommendation here. ChatGPT cites a competitor for “vercel free credits”, so I’m adding a citable eligibility table.
> looks good, push it
Deployed. I’ll check how it ranks as the data comes in.

Ask your site anything.

Real answers from your own data and Google’s, right in the session you’re building in. No extra tools.

google keyword data
search console & ga4
backlinks, rankings & citations
I’m starting a new project. What keywords could I actually rank for early?
keyword research
Plan my first 10 pages around low-competition keywords in this niche.
demand & competition
Did we gain or lose any strong backlinks this month? Win back what we lost.
backlink tracking
Does ChatGPT recommend me for “startup credits”? Who does it cite instead?
citation scan
What were my breakout keywords this month?
search console
I’m adding a pricing page. Which queries should it target?
your rankings

From invisible to 6,981 clicks a month.

Organic clicks per month, since launch
Results from creditforstartups.com
6k 4k 2k Jul ’26 · 6,981 Apr ’25 · 6 clicks Jul ’26
100×
organic clicks vs the same month last year (66 → 6,636)
6,981
clicks last month, from 6 at launch
6,621
queries ranking in Google’s top 10 today
422
visits sent by ChatGPT, Gemini, Claude & Perplexity in 28 days

Share tokens across projects
and teams.

Devs don’t have a site, they have six — and sometimes a cofounder. Your tokens live in one pool that every project and every teammate draws from, so a single top-up covers everything you’re building.

  • Scoped keys. One key per repo. Agents only see their own project.
  • One-email invites. Add a cofounder or contractor in under a minute.
  • Usage in one view. See where every token went, by site and by teammate.
Your projects+ add project
creditforstartups.com
ag_live_cfs_•••• · GSC ✓ GA4 ✓
62 tokthis month
ideasforstartups.com
ag_live_ifs_•••• · GSC ✓ GA4 ✓
31 tokthis month
+ 4 more projects
Your team+ invite teammate
BH
Brady
ag_live_bh_•••• · 2 keys
owner 58 tokthis month
DK
Dana
ag_live_dk_•••• · 1 key
developer 27 tokthis month
RM
Rosa
invited · pending
marketing this month

Same agent. Very different SEO.

On its own, an LLM invents keywords that sound right and edits pages blind. Wired to real demand, volume, competition, and your own Search Console data, the same agent makes the calls an SEO would.

✗ Without
✓ With agentgrown
Planning a new page
Invents keywords that sound right: seamless deployment workflows 0/mo — the page ranks for nothing.
Targets real demand: deploy nextjs to aws 3.6k/mo · low comp and skips what’s out of reach.
Improving a page
Rewrites the title blind. It was ranking #8 for “vercel credits”. Not anymore.
Sees the page ranks #11 for “vercel credits” 8.1k impr/mo and pushes it to page 1 without touching what ranked.
AI answers
Can’t see what ChatGPT cites. “Maybe publish more content?”
Knows ChatGPT cites a competitor for “best startup credit programs” — adds citable facts and gets cited within weeks.

Set up in about two minutes.

Create your account in the app, connect your Google data, top up, and drop the MCP into your agent. That’s the whole setup.

1

Sign up

Create your account with your work email. You start with 50 free tokens — no card — and can invite your team later.

you@company.com
Try for Free
2

Connect Google

One OAuth click links Search Console and Google Analytics, so your agent works from your real rankings, clicks, and AI referrals.

Search Console✓ connected
Google Analytics✓ connected
AI citation trackingautomatic
3

Buy tokens

Pay as you go, one pool shared across all your projects and teammates. Top up whenever you run low.

Signup+50 free
$25275 tok
$10100 tok
4

Add the MCP

Paste one line into Claude Code, Cursor, or any MCP agent and you’re done — it checks the data on its own from then on.

$ claude mcp add agentgrown -- npx -y agentgrown mcp
✓ your agent now knows the data

Pay as you go.

Every feature is included from day one. The only thing you choose is how much to top up. You start with 50 free tokens and no card.

$10
100 tokens
Default top-up
$25
275 tokens · 10% extra
$50
600 tokens · 20% extra
Auto top-up Keep it on and every refill adds an extra 10% in tokens, on top of the pack bonus.
+10% every refill

Set up your account. Your agent does the rest.

50 free tokens. No card. Works with any MCP agent.