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Home » 5 AI Workflows for Local SEO
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5 AI Workflows for Local SEO

Business Circle TeamBy Business Circle TeamAugust 13, 2026No Comments2 Mins Read
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Workflow 3: Aggressive evaluation with chained brokers

Aggressive evaluation is certainly one of my favourite AI use instances 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 job earlier than passing structured output to the subsequent stage:

Agent 1, GBP classes: Seems to be on the classes for the enterprise I am working with, finds further classes, and evaluations competitor classes.

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

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

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

Acquire information

Earlier than AI analyzes something, I acquire structured information. For Google Enterprise Profile evaluation, this consists of:

For location web page evaluation, I acquire:

  • Web page sort
  • Inner hyperlinks 
  • Content material construction in comparison with rivals
  • 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 determine gaps. 

Here is an instance immediate for GBP classes particularly:

“You’re analyzing native web optimization indicators for [business type] in [city]. Use ONLY the information supplied under. Don’t draw on exterior data. Determine: 1) the most typical main class, 2) secondary classes in 3+ rivals, 3) any class patterns within the high 3 that differ from others. Return a structured desk. Flag any enterprise with a considerably completely different sample.”

The workflow rapidly surfaces patterns resembling:

  • Geo areas your rivals concentrate on that you simply’re lacking
  • Evaluation velocity you are not preserving tempo with
  • Content material gaps
  • Class consensus points, the place your rivals use classes you do not

These insights grow to be the muse for technique, however I nonetheless make the ultimate choices.



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