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I need to create an automated SEO system based on n8n that will collect data from various services, combine it, and send it to ChatGPT for analysis. It is necessary to connect Ahrefs Google Search Console Google Analytics 4 Google Ads The first stage is a minimum viable version Connect Google Search Console. Connect GA4. Connect Ahrefs, if my plan and API allow it. Store daily data. Send it to ChatGPT. Send one daily report to Telegram or email. Set up analysis for the site viarcanvas.com and the competitor picturehappy.lv. After verifying the functionality, add Google Ads, additional countries, competitors, and extended reports. What needs to be obtained from Ahrefs For the site viarcanvas.com and selected competitors: organic keywords; current positions; position changes; search volume of queries; estimated traffic; pages that receive organic traffic; new and lost keywords; new and lost backlinks; competitor pages that have increased traffic; new competitor keywords; Content Gap between our site and competitors. The list of competitors should be editable without changing the n8n script itself.What needs to be obtained from Google Search Console clicks; impressions; CTR; average position; queries; pages; countries; devices; changes in metrics by days and periods. It is important that the data can be analyzed separately for each language version: /lv/ /lt/ /ee/ /pl/ /de/ A separate analysis of specific pages is also needed, for example: https://viarcanvas.com/lv/new/canvasWhat needs to be obtained from Google Analytics 4 users; sessions; organic traffic; landing pages; purchases; leads; revenue; conversion rate; engagement; countries and devices. It is necessary to link SEO traffic not only to visits but also to leads, orders, and revenue.What needs to be obtained from Google Ads spending; clicks; impressions; CTR; CPC; conversions; cost per conversion; revenue; ROAS; search queries; data on campaigns and countries. Google Ads should be analyzed separately from organic SEO but included in the overall marketing report.What ChatGPT should analyze ChatGPT should automatically determine: which keywords have increased; which keywords have decreased; which pages have lost traffic; which pages have started to grow; where impressions have decreased; where CTR has decreased; where the average position has worsened; which pages are in positions 4–15 and have the potential to reach the TOP; which keywords have impressions but few clicks; which competitor pages are growing faster than ours; which queries competitors have that we do not; which articles should be written; which existing pages should be updated; where query cannibalization is possible; where internal linking is needed; which pages should be strengthened with external links; which changes require urgent attention. ChatGPT should not just list numbers. It should explain the likely reasons for changes and provide a specific action plan.

https://docs.google.com/document/d/1TpVG_3eorqptb4MCf5XmcvwXJMuAA56UFyusw_7wAfI/edit?tab=t.q8f7pv3dj31d

Technical specification for a Telegram bot Goal: Create a Telegram bot that will: 1. Take posts from one channel (source). 2. Repost them to one or several other channels (receivers) on behalf of the Telegram account. 3. Support: • Text. • Up to 10 photos. • Premium emojis. 4. Replace links in posts according to specified rules. 5. Add inline buttons according to special scripts in the text. 6. Support link and button binding for each receiver separately. Working with links: • There may be links in the post text that need to be replaced. • For each receiver channel, the bot should use its own link. • Example: if the post contains the link https://site.com, then: • For Channel A replace with https://site.com/a • For Channel B replace with https://site.com/b Working with buttons: • The text may contain scripts like: [contact], [website], [order]. • The bot should: • Remove the script from the text. • Add a button with the required text and the required link. • Buttons are configured separately for each receiver channel.

Development of a Telegram bot in Python that collects data and synchronizes it with Google Sheets in real time. The system must be fault-tolerant, protected against manual input errors, and fully autonomous.

I'm looking for a developer to create a Telegram bot for our clothing store. The essence: the manager sends the bot a regular photo of the product (on a hanger, on a table) — the bot generates a ready gallery of professional shots for the product card on the website/marketplace using AI. What the bot should be able to do Receive 1–4 photos of the product in the Telegram chat. Automatically recognize the product (category, cut, male/female) — without manual description. Generate a gallery of ~6 shots: product on a model: studio front, back, dynamic pose; product shots: flat lay, close-up detail, ghost mannequin; lifestyle shot. Consistent model — the same person in all shots of the gallery and between galleries (brand face). Several shooting styles to choose from (for example: streetwear, casual, sport, old money). Output format: JPG 4:5, files with numbering (-01, -02…) — ready for upload. The ability to regenerate a single shot or change the style without regenerating the entire gallery. Access only for our team (allowlist), daily limits per user. Accounting for AI API costs: show the price before generation, keep statistics. Technical expectations Image generation: Gemini (Nano Banana) / DALL·E / Flux or similar — please suggest an option with justification of quality and cost per shot. The bot must operate 24/7 on VPS (auto-restart, turnkey deployment). Secrets via .env, code delivered to us (repository). What we will provide Product photos for testing, wishes regarding brand styling. What I expect in the response Cost and timeline estimate. Approximate cost of one gallery. From and To