Is there anything I forgot? Internal-linking, indexing, RSS feed...

metlivewin said:

Hello, I have a website that automatically writes articles for football (soccer) predictions using AI.
I have 3 scripts, Italian Serie A, english Premier League and german Bundesliga. They are scheduled with cron so everytime they run, they check all the matches of the current matchday, check if they're already in the database, if so they update the predictions using the new betting odds from various bookmakers. The text article does not change, the Gemini API writes the introduction and conclusion of the article only the first time (when it was not yet stored in the db), the rest of the content is static and only the data and team names change. Then I automatically update the sitemaps (one for each league) and index all the urls of the current matchday with Google Indexing API (i hope that's not against google guidelines, since these are short-living pages: once the match ends they're basically uselesse) and Bing IndexNow api.

So: updated sitemaps and indexed urls.
The website scheme is the following:
Homepage:
a card for each league and then the next 3 predictions for each league (I thought putting links in the homepage would help indexing), then 10 blog articles links.

Is there anything I have forgotten? Is there anything else that would improve the internal-linking? I'm not sure whether adding an RSS feed, is it still useful? Could it help google indexing the predictions pages quicker?

thank you! Oh also, Each article, even if written by AI, is unique (trying various testers online, should also be Human)

Click to expand...

metlivewin said:

Hello, I have a website that automatically writes articles for football (soccer) predictions using AI.
I have 3 scripts, Italian Serie A, english Premier League and german Bundesliga. They are scheduled with cron so everytime they run, they check all the matches of the current matchday, check if they're already in the database, if so they update the predictions using the new betting odds from various bookmakers. The text article does not change, the Gemini API writes the introduction and conclusion of the article only the first time (when it was not yet stored in the db), the rest of the content is static and only the data and team names change. Then I automatically update the sitemaps (one for each league) and index all the urls of the current matchday with Google Indexing API (i hope that's not against google guidelines, since these are short-living pages: once the match ends they're basically uselesse) and Bing IndexNow api.

So: updated sitemaps and indexed urls.
The website scheme is the following:
Homepage:
a card for each league and then the next 3 predictions for each league (I thought putting links in the homepage would help indexing), then 10 blog articles links.

Is there anything I have forgotten? Is there anything else that would improve the internal-linking? I'm not sure whether adding an RSS feed, is it still useful? Could it help google indexing the predictions pages quicker?

thank you! Oh also, Each article, even if written by AI, is unique (trying various testers online, should also be Human)

Click to expand...

MajestySEO said:

I think you are on the right track, but see these two key areas to focus.

Internal Linking Strategy. Avoid random linking, make them contextual for better SEO and user experience.

Content Variation & Freshness – If every page follows the same AI generated template, Google may see it as thin content. Add unique insights, don’t rely entirely on AI. A mix of analysis, user engagement, and historical data will make the content more unique.

Hope this helps!

Click to expand...