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Home»Marketing»5 AI Workflows for Native search engine marketing
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5 AI Workflows for Native search engine marketing

By August 11, 2026002 Mins Read
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Workflow 3: Aggressive evaluation with chained brokers

Aggressive evaluation is certainly one of my favourite AI use circumstances as a result of AI is nice at discovering patterns throughout giant datasets. The secret is giving every agent one job.

Give every agent a job

Every agent completes one activity earlier than passing structured output to the following stage:

Agent 1, GBP classes: Appears on the classes for the enterprise I am working with, finds extra classes, and opinions competitor classes.

Agent 2, Location and repair space pages: Appears at opponents’ location or service space pages, compares them to ours, and identifies variations.

Agent 3, Content material gaps: If a device exhibits now we have content material gaps, this agent helps me plan subsequent steps primarily based on search quantity.

Consolidate right into a closing agent: The ultimate agent combines these outputs to establish patterns and something the sooner brokers missed.

Acquire knowledge

Earlier than AI analyzes something, I accumulate structured knowledge. For Google Enterprise Profile evaluation, this contains:

For location web page evaluation, I accumulate:

  • Web page sort
  • Inside hyperlinks 
  • Content material construction in comparison with opponents
  • Historic natural efficiency

Run aggressive evaluation in 4 steps

The entire aggressive evaluation runs in 4 steps: outline your dataset, pull the information, run patterns, and establish gaps. 

This is an instance immediate for GBP classes particularly:

“You might be analyzing native search engine marketing indicators for [business type] in [city]. Use ONLY the information offered under. Don’t draw on exterior information. Determine: 1) the most typical main class, 2) secondary classes in 3+ opponents, 3) any class patterns within the high 3 that differ from others. Return a structured desk. Flag any enterprise with a considerably totally different sample.”

The workflow rapidly surfaces patterns similar to:

  • Geo places your opponents deal with that you simply’re lacking
  • Evaluate velocity you are not preserving tempo with
  • Content material gaps
  • Class consensus points, the place your opponents use classes you do not

These insights change into the inspiration for technique, however I nonetheless make the ultimate choices.



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