Meet Avakata Pulse.
One click. One tag. Everything gets better.
Pulse installs on your site in one click — no rebuild, no re-platform. It maps how your company actually markets and operates, then puts the agent workforce on it: pages rewrite themselves, campaigns write themselves, pipelines tighten, and expenses go bye-bye.
You get a campaign. You get a campaign. Everybody gets a campaign.
Beautiful site. But what’s its IQ?
Every website has a brain — the thing that decides what it says, what it fixes, and what it learns. Most run on a second-grade one: it memorized a single answer at launch and repeats it forever, while the questions, the algorithms and the buyers move on. Avakata seats a Mensa-grade operator at the controls instead.
A second-grade brain.
- Says the same words to every visitor, since launch day
- Waits for a human to notice what broke
- SEO last touched “when we redesigned”
- Treats AI search like it isn’t happening
- Depreciates quietly into a virtual paperweight
A Mensa student at the controls.
- Rewrites itself toward the questions people actually ask
- Detects and heals friction the moment it appears
- SEO + GEO retuned continuously, automatically
- Built to be cited by ChatGPT, Perplexity & Claude
- Compounds — measurably smarter every week
“Self-healing,” in plain words — the loop that runs all night:
A page underperforms: traffic bounces, a button goes ignored, an answer engine passes you over.
The brain replays sessions, reads the heatmaps, and isolates exactly why.
Specialist agents draft the fix — copy, layout, schema or code — and a critic gate scores it.
The fix deploys autonomously. Logged, reversible — no ticket, no standup, no waiting.
The result feeds the model, so the next fix starts smarter. That loop is healing.
A website that learns is an asset. One that doesn’t is a virtual paperweight.
Go ahead — try to break this site.
Every agency says their site is resilient. Ours lets you test it. Click anything below to break it — then watch a named agent detect it, repair it, and log the fix. This is the same loop that runs on client sites all night.
A brain that lives in your website.
Avakata is a self-building, self-healing, fully autonomous layer for your website — a brand-new build or the site you already run. Thirty specialist agents listen to OpenAI, Perplexity and Google AI search signals in real time, retune your organic SEO and GEO, rewrite content toward the questions people are actually asking, and build their own code patches — day and night, completely hands-off. It never reacts. It leads.
It listens.
Real-time signals from OpenAI, Perplexity and Google AI search, plus your own analytics and heatmaps — it hears the questions people are asking before your competitors do.
It rewrites.
Content, schema, organic SEO and GEO — and its own code patches when something breaks. Built, critic-gated and shipped day and night. Every change logged and reversible.
It leads.
A living, breathing website that is never reacting — the brain keeps re-aiming your site at where demand is going next. The perpetual trendsetter.
Thirty specialists. Zero coffee breaks.
Meet the workforce inside the brain. Each agent is a narrow specialist — one mines AI-search queries, one rewrites title tags, one heals low-converting blocks, one just rotates this site's palette. Below is the live job queue: what each of the thirty is doing right now, on this site.
Call signs are codenames. The work is real — read the field notes the engine files about what it shipped.
The same brain runs your marketing.
Autonomous campaigns across Google Ads, Meta, Facebook, Instagram, LinkedIn and Reddit — programmatically monitored, copy rewritten in real time, every decision fed by the brain. It drafts months of content schedule that re-plans itself on live data; humans approve every word before it ships. Posts land at each platform’s peak-engagement window. Images and video are created agentically — and so is the reporting. As the agents get smarter, so does your business.
Programmatic monitoring
Every campaign watched around the clock — budgets, creative fatigue, auction shifts — with copy rewritten in real time from the brain's signals.
Self-replanning calendar
Full content schedules drafted months ahead, then changed on the fly as the data moves. Written by agents — approved by humans, every time.
Peak-window posting
Each platform gets its post at the moment your industry's engagement peaks — per channel, per audience, learned continuously.
Agentic assets & reporting
Images and video generated agentically to fit the campaign. Reporting writes itself. As the agents get smarter, so does your business.
Always three years ahead. On purpose.
We don’t build AI applications for the fun of it — we build harnesses and safeguards around a Jarvis-style brain that stays three to four years ahead of its predecessors. The third iteration is already in build on frontier models like Gemma4 and Claude Mythos (Project Glass Wing), trained on years of live engine data: a fully autonomous solopreneur enterprise — marketing, HR, billing and invoicing, inbound and outbound calling agents, and a CRM that evolves with the CMS inside your self-learning site. It never stops.
Decide tomorrow to sell soccer cleats. Or to teach rock climbing with live feeds of Yosemite on your site.
Ava and the brain re-aim the entire agentic stack — research, copy, campaigns, assets, reporting — into instant marketers and business assets for your new venture. Overnight.
One engine. Six kinds of work, all the time.
The Engine
avakata.agency live · 24/7The client report nobody reads — and the one-line memo they do
We spent six hours a month on a fourteen-page client report that earned 47 seconds of attention. We replaced it with a one-sentence memo — change, cause, next move — and reply rates hit 78%. Here is the formula, three real examples, and the two times a year the long report still matters.
Read the note →How answer engines pick between two similar sources
When two pages make the same claim, an answer engine cites one and ignores the other. We ran 60 paired buyer prompts across three engines to find the tie-breakers. Four signals decided almost every head-to-head, and most are fixable in an afternoon.
Read the note →Case note: 30 days of per-client learning on a Shopify store
A nine-person Shopify home fragrance brand turned on per-client learning June 1. Thirty days later: organic sessions up 18 percent, AI citations up from 2 to 19 a month, edit rate down from 70 to 12 percent, and the owner's content time cut from six hours a week to 50 minutes.
Read the note →Built to compound. Quietly.
Don't take our word. Watch it work.
A site that agentically heals itself, overnight.
A 27-second brand film: traffic in, friction found, copy rewritten, variant shipped, lift measured — the whole loop, while you sleep.
Run the engine yourself.
Press one button and drive a full self-heal end to end. Switch industries, toggle the heatmap, keep the change or roll it back.
Open the demo →A real store, healing itself live.
”KickHaus” is a sample e-commerce storefront we operate so you can watch the engine work without touching your own site. The heatmap, the live signals, and the auto-rewrite below are all running right now.
Vapor Strike FG Cleats
$280Inputs go in. A site with a brain comes out.
A 27-second explainer — then the loop, broken down.
What it watches
- GA4 + product analytics
- Search Console signal
- Heatmaps & session replays
- Your CMS content graph
- CRM & commerce events
The Avakata Engine
30+ specialist operators, one memory layer, continuous evaluation — built on 25 years of conversion patterns and 3,500+ Google Ads accounts. The internals stay under NDA. The outcomes are public.
What you get back
- Rewritten copy
- Fresh A/B variants
- New content (posts, FAQs)
- A weekly memo to you
- Always reversible · always yours
Brands the team has shipped for.
Bring your site. We'll show it agentically healing, updating & optimizing itself on a screen-share.
Audit on us. If it doesn't feel like the next layer of marketing within 20 minutes, we'll send you home with the audit anyway.