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6 Methods to Automate Worldwide Advertising and marketing with Agent A

Admin by Admin
June 11, 2026
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Right here’s how the Ahrefs worldwide advertising group makes use of Agent A to automate their work.

Worldwide advertising is a job that will get exponentially sophisticated with every extra area and language you add.

For instance, we publish the Ahrefs weblog in eight languages, which implies roughly each significant activity—refreshing an previous article, checking hreflang tags, swapping inner hyperlinks, monitoring what a competitor simply shipped—must be carried out eight occasions, or eight occasions a month, or eight occasions per product launch. Fortunately, we now have some unimaginable entrepreneurs on the case.

Erik Sarissky is Head of Worldwide Advertising and marketing & Product Localization at Ahrefs. He runs the worldwide advertising group at Ahrefs, main a small-but-mighty cadre of worldwide entrepreneurs chargeable for scaling development in areas like Spain, France, Germany, and Japan.

Takanori Kawaharada is Ahrefs’ Regional Head of Advertising and marketing, Japan. Taka is chargeable for all of Ahrefs’ advertising channels in Japan: occasions and webinars, content material creation, social media, product advertising, and far more moreover.

These are a number of the AI instruments Erik and Taka (and the remainder of the worldwide advertising group) have constructed with our advertising agent, Agent A. Every rationalization features a starter immediate you’ll be able to paste right into a recent workspace to construct your individual model.

What’s Agent A?

Agent A is a advertising agent from Ahrefs—an AI assistant with direct entry to the complete Ahrefs dataset that may perform advertising duties autonomously, quite than simply reply questions.

Agent A consists of:

  • Unrestricted entry to Ahrefs endpoints. Each endpoint we use to construct Ahrefs is offered, together with many you can not attain through API or MCP.
  • Critical tech stack beneath. Postgres for state, Flask for UIs, an OpenRouter proxy with 300+ fashions, internet fetch with full-page parsing, PDFs, OCR, scheduled jobs.
  • Native connectors to advertising instruments. Slack, HubSpot, GitHub, Notion, Linear, Mailchimp, Resend, SendGrid, Stripe, Gong, WordPress, Airtable, Apify, and even Semrush.
  • Skilled talent library. The Ahrefs group has contributed pre-built advertising abilities and functions that encode how we really work.

1. Robotically translate weblog posts to a number of languages

The massive one. This instrument takes one English-language article URL and creates as much as seven publish-ready localized articles, with WordPress shortcodes embedded, inner hyperlinks localized, photographs translated, and a one-click “publish to WordPress” button on the finish.

Earlier than translation, the instrument pulls keywords_explorer_matching_terms for the article’s major key phrase within the goal nation, then creates a shortlist of localized key phrases to focus on:

Seven languages are presently wired in—FR, ES, JA, DE, IT, KO, ZH-TW—every with their very own tone guides, glossaries, and translation pointers.

Each ahrefs.com/… hyperlink within the translated physique will get swapped to the goal language’s equal if a localized model exists, or skipped with a motive if not. Subdomains (app., assist.) are left alone. The hyperlink map is rediscovered per locale and cached.

Starter immediate

Construct me a multilingual translation pipeline for weblog articles. Enter: an EN article URL (or pasted markdown) + goal language. Supply fetch tries Jina Reader, Ahrefs snapshot, then direct HTTP. web optimization step: keywords_explorer_matching_terms for the article’s major key phrase in goal nation, two-LLM curation (one quick mannequin filters, one stronger mannequin ranks), shortlist handed into the interpretation immediate. Translation enforces a per-language readiness gate — refuse to begin if the type information or WordPress shortcode footer for that language isn’t authored but. Rely supply photographs within the immediate and require the identical depend in output with URLs byte-identical, alt textual content translated. After translation, run an internal-link adapter that rewrites each ahrefs.com/… hyperlink to its localized equal (utilizing a per-locale web page map) or skips with motive. Stream the interpretation reside to the UI. Closing stage: one-click publish to WordPress as a draft, plus DOCX export.

2. Translate graphs and weblog submit photographs into a number of languages

With every Ahref weblog submit containing a dozen graphs and circulation diagrams, it’s straightforward to see why picture translation grew to become an actual bottleneck. So Erik and group constructed a devoted translation instrument simply for visuals—diagrams, screenshots with annotations, advertising banners.

Add a PNG, JPG, or PDF , decide a goal language and area, optionally write a short, get again a localized picture:

The first step makes use of Gemini to research the picture and write detailed localization directions in plain textual content. The instrument is aware of that Spanish for Spain is completely different from Spanish for Mexico, and Portuguese for Brazil is completely different from Portuguese for Portugal; the mannequin is informed to “adapt cultural components as wanted for {area}”—forex symbols, instance domains, identify conventions all shift accordingly.

Step two passes these directions plus the unique picture into Gemini 3 Professional Picture Preview’s native image-output endpoint, which regenerates the picture with the localization utilized:

Starter immediate

Construct me a picture localizer for advertising visuals (diagrams, annotated screenshots, banners). Enter: a PNG/JPG or PDF (rasterize web page 1), goal language, goal area (e.g. pt → Brazil vs Portugal, zh → China vs Taiwan), optionally available transient. Two-pass pipeline: (1) a imaginative and prescient mannequin analyzes the picture and writes plain-language localization directions, (2) a native-image-output mannequin regenerates the picture with these directions baked into the immediate, preserving structure, model colours, fonts. After the primary render, maintain a chat field open for incremental edits — feed the present rendered PNG (not the unique) plus the correction again into the identical mannequin so structure doesn’t drift throughout iterations. Present the evaluation textual content alongside the output so I can see what the mannequin determined to alter earlier than it modified it.

3. Flip a 60-minute interview recording right into a full case examine

Case research are the highest-effort content material Taka produces: a 60-minute interview, half a day of transcription, a day of writing, two days of revision. So he requested Agent A to compress that to a day.

The Case Research Generator takes an audio file (mp3 / m4a / wav / mp4, something ffmpeg can learn), reference URLs, photographed handwritten notes, and a basic-info kind, and turns it into a sophisticated case examine draft:

The audio is transcribed and speaker labels are assigned to each sentence primarily based on the interviewee kind knowledge. OCR is used to extract textual content from photographed pages of handwritten interview notes, reference articles (like different case research) are pulled into the pipeline, and Opus 4.6 creates a case examine draft for overview and publishing (like this particular case examine, revealed on the Japanese weblog):

Starter immediate

Construct me a long-form interview-to-article pipeline. Enter: audio file (mp3/m4a/wav/mp4, any size as much as 60 min), reference URLs, photographed notes (picture/PDF), basic-info kind (firm/business/interviewees/theme/goal chars, default 7000). Pipeline: (1) chunk audio into 10-min segments with ffmpeg, transcribe every through openai/gpt-4o-audio-preview, with a tough guard that flips draft to “error” state if each chunk fails; (2) Sonnet 4.6 assigns speaker A/B/C labels utilizing the interviewee kind, with the interviewer identify auto-filled throughout host turns; (3) Opus 4.6 imaginative and prescient OCRs photographed notes; web-fetch pulls reference URLs; (4) Opus 4.6 drafts at max_tokens=16000 — if output is beneath 85% of goal, run a second “lengthen” move that provides depth from unused transcript content material however retains the identical title and construction, by no means a part-2 cut up; (5) DOCX + WordPress HTML export, plus chat-refine editor with DB-backed undo/redo. Ban placeholder strings (“[needs answer]”, “[draft]”, any disclaimer textual content) within the system immediate.

4. Create a YouTube script and three thumbnails in minutes

Taka ships 4 sorts of movies: month-to-month product roundups, deep-dive demos, step-by-step tutorials, and podcast interviews. Each has a totally completely different construction, so the YouTube Script Generator has 4 templates to decide on between:

The instrument additionally features a hook sample picker with six confirmed “hook” codecs to pique the viewers’ curiosity (Damaging Outcome / Social Proof / Sample Interrupt / Excessive Stakes / Pace Run / FOMO Hole). Taka’s selection shapes the primary 30 seconds, whereas the remainder of the script is generated by Opus 4.7 at ~300–350 Japanese characters per minute:

For thumbnails, GPT-5.5 proposes three textual content ideas (an information angle, a query angle, a narrative angle), impressed by a examine Taka carried out thumbnail tendencies in Japanese business-education channels; gpt-5.4-image-2 renders every at 1280×720 utilizing brand-color palettes.

Starter immediate

Construct me a YouTube script + thumbnail generator with 4 script-type templates: demo (7/12/50/15/8% sections with screen-direction cues each 2-3 traces), month-to-month product roundup (5/80/8% sections, banned hype phrases, exclamation marks solely in outro, mounted opening/transition templates per place), step-by-step tutorial (8/7/65/10/8% sections with specific step numbering), and podcast interview-question script (Host intro + numbered questions, every query = 2-3 sentence premise with particular stats/names + one open query, no visitor solutions, no dialogue). Non-obligatory hook-pattern picker for the primary 30s (Damaging Outcome / Social Proof / Sample Interrupt / Excessive Stakes / Pace Run / FOMO Hole). Tempo at ~300-350 [native-language] chars/minute. Fetch reference URLs through web-fetch and inject content material. After script is finished, add a thumbnail tab: GPT-5.5 proposes 3 textual content ideas (knowledge/query/story), picture mannequin generates 1280×720 thumbnails with brand-color palettes pulled from a saved native trend-study file.

5. Handle and replace hreflang tags at scale

Hreflang is a really uninteresting, crucial a part of worldwide web optimization. This instrument generates hreflang tag units for any worldwide website:

For any canonical URL, the instrument returns the whole set of hreflang tags (), tailor-made to the worldwide markets you care about, and able to paste right into a CMS discipline or a sitemap generator.

Audit mode additionally lets you troubleshoot widespread hreflang points. Level it at a web page that already has hreflang tags and it tells you what’s improper—lacking reciprocal tags, improper language codes, damaged alternates, lacking x-default. This catches the half-implemented-by-the-previous-agency state most worldwide websites are in.

Starter immediate

Construct me a hreflang generator + auditor for worldwide websites. Help each URL patterns: path-based (ahrefs.com/weblog/de/slug) and subdomain-based (de.instance.com/weblog/slug) through a single slug-prefix parser. Slug matching so as: (1) actual same-slug throughout languages, (2) Ahrefs Web site Audit hreflang_audit endpoint when out there (cache to disk), (3) title-similarity fallback. For a canonical URL, output the complete tag block together with x-default. Audit mode: level at a web page that already has hreflang and report lacking reciprocals, improper language codes, damaged alternates. Auto-import model configurations from my Intl Weblog Monitor so I don’t reconfigure the identical website twice.

6. Run real-time English ↔ Japanese subtitles at conferences

Twice a yr Taka hosts or sponsors an occasion the place the speaker is in a single language and half the viewers is within the different. Skilled simultaneous interpreters price $2,000+/day and don’t know our product. The Reside Interpreter is what Taka opens on a laptop computer subsequent to the stage:

This translation instrument information reside audio and generates subtitles on-the-fly utilizing Gemini 3 Flash (with a selection of different fashions for various conditions: Claude Haiku is extra correct however too gradual for reside occasions).

At Taka’s specification, the subtitling instrument forces a grammatically full output sentence even when the enter is a mid-phrase chunk of reside speech: no noun-ending sentences, no trailing particles, and should shut with a correct Japanese predicate (the polite-form copula or a verb conjugation).

And crucially from a product perspective: a devoted web optimization/Ahrefs glossary is injected on the prime of the system immediate with the literal directive “ABSOLUTE HIGHEST PRIORITY — overrides every little thing else”. So “AI Overviews” at all times renders because the one accepted Japanese time period we use internally, by no means a near-synonym. “Backlink”, “Area Ranking”, and each different brand-controlled time period map to precisely one Japanese rendering.

Starter immediate

Construct me a real-time convention interpreter for [my two languages]. Browser captures audio chunks, POSTs every transcribed chunk to /translate. Server detects route by character-set / language ID. System immediate enforces two non-negotiables: (1) each output sentence should be grammatically full with a correct predicate even when the enter is a mid-phrase chunk — if enter cuts off, mannequin provides a closing verb / clause to complete the sentence so subtitles by no means dangle; (2) inject my area glossary (each instructions) on the prime of the system immediate with the literal directive “ABSOLUTE HIGHEST PRIORITY — overrides every little thing else” so model phrases by no means get substituted with synonyms. Pre-wire 4 mannequin choices ordered by latency, not accuracy: Gemini Flash Lite, Gemini 3 Flash (default), Claude Haiku 4.5, GPT-4.1 Nano. max_tokens=400, temperature=0.2. Present route + mannequin within the UI; change mannequin on the fly with out reloading.

Closing ideas

Ahrefs creates a ton of promoting collateral every month, and the worldwide advertising group has a mountain to climb to localize all of our weblog posts, emails, product movies, YouTube tutorials, and run reside occasions.

Erik and Taka use Agent A to automate huge chunks of the less-skilled, extra repetitive work every month. All of those instruments began life as handbook, time-consuming workflows and become an app over a chat session or two. The overall work was most likely a standard week’s value of an engineer’s time, besides that neither Erik nor Taka is an engineer.

When you’re an Ahrefs buyer, Agent A is free to strive for one month. Paste any of the starter prompts above right into a recent workspace and your Agent A will construct the instrument—along with your knowledge, your locales, and your priorities.



Tags: AgentAutomateInternationalMarketingWays
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