Content monetization for publishers

Make every visitor worth more.

AdAstra measures what your content is really worth in live ad-market data, then rewrites and optimizes it in every direction that raises that value: high-CPC keyword demand, SEO, AI answers and conversion. One engine, aimed at revenue.

Grounded in live keyword and CPC data from the Google Ads API

AdAstra workspace showing an agentic playbook graph: content nodes connected to keyword research, optimization and publishing steps, with a chat pane on the left.
How it works

How it works

1Step 1

Measure what it's worth

AdAstra pulls live keyword and CPC data from the Google Ads API and scores every topic by the revenue it can actually earn, so you know what your content is worth before you touch a word.

Keyword table with monthly search volume and publisher CPC per query, highlighting high-value opportunities.
2Step 2

Optimize for value

The engine rewrites and optimizes your text in every profitable direction at once: high-CPC keyword alignment, SEO, AI-answer readiness and conversion, with before and after scores you can inspect for every change.

Playbook graph with an optimization node open in the inspector, showing conditional logic and before and after scores.
3Step 3

Automate the cycle

Build the workflow once as a playbook and let the agent drive it. The whole diagnose, rewrite and optimize loop runs itself, and every run stays recorded.

Runs list with playbook executions and their statuses.
Solutions

What AdAstra solves

Four problems every publisher knows, and the specific fix AdAstra runs at each one.

“My content gets traffic but earns almost nothing.”

AdAstra shows the CPC value behind every query, then optimizes your content and headlines toward the high-CPC demand it can honestly serve. The same audience, worth more per visit, with before and after scores for every change.

Keyword table with monthly search volume and publisher CPC per query, highlighting high-value opportunities.
Analyze view with findings grouped by commercial, conversion and SEO themes, each ranked by severity.

“I can’t tell which topics are actually worth writing.”

Every topic is scored against live search volume and CPC from the Google Ads API, so you commit to the queries that pay rather than the ones that only look busy. If the data is not real, AdAstra says so instead of guessing.

“My pages rank, but they’re invisible in AI answers.”

AdAstra optimizes for classic SEO and AI answers in the same pass: it scores how extractable and citable your content is (clear Q&A structure, standalone facts, defined terms, key takeaways) plus llms.txt compliance, then rewrites toward exactly the gaps it finds. More surfaces, more value from the same page.

Chat-driven playbook run next to the recorded run history.

“Optimizing everything by hand eats my week.”

Build the workflow once as a graph, with conditions and loops, then drive it from chat. The whole diagnose, rewrite and optimize cycle runs itself, and every run is recorded.

The whole text toolkit, pointed at value

Rewrite in any direction, tune headlines and metadata, structure pages so search engines and AI assistants can use them, and check every change against real keyword and CPC data. Everything you can do with text, all in service of content that earns more.

AI ranking

Built for AI answers, not just blue links

AdAstra scores how extractable and citable your content is, from Q&A structure to standalone facts and key takeaways, with llms.txt compliance as one signal among them, so your pages are cited by AI assistants as well as ranked by search engines.

FAQ

Frequently asked questions

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