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Enterprise AI Platforms

Customer Support VP

Research: Guest Posts
Dominant · Search Engine Appearances ρ=0.692

AI recommendation signal analysis across 131 domains for the Customer Support VP persona in Enterprise AI Platforms.

Link authority data (PageRank, harmonic centrality) comes from the Common Crawl web graph.
131Domains Tracked
16.4MReddit Posts
34KWikipedia Articles
5.5MOpen Web Matches
Customer Support VP_persona.report
DomainScore
devblogs.microsoft.com
1.0
lennysnewsletter.com
0.4
microsoft.com
0.2
This is a shortened preview of the Enterprise AI Platforms report

Many tables and charts on this page show only the top few results; the full data behind them runs far deeper. The complete report unlocks every row, chart, and download for this industry.

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About This Report

How to use this page

Persona view: this page is scoped to this persona's queries alone.
Use Case

Place guest content

The sites surfacing for guest-post queries in this industry: a ready-made list of publications open to outside contributors.

How It's Calculated

Where the numbers come from

We run guest posts queries for this industry through Google and aggregate every result: domains by rank-weighted score (higher positions count for more) and appearance count, exact URLs by appearance count, and the most common title phrases.

Overview

What's on this page

Domain and URL charts, the full result list, and title n-gram tables.

Research

Research: Guest Posts

Domains appearing in Google results for Customer Support VP's Research: Guest Posts queries. Score is a rank-weighted sum (higher-ranked appearances count for more); count is a plain appearance tally.

By Score

Top URLs

Individual pages (not just domains) ranked by the same rank-weighted score, labeled by page title.

By Appearance Count

All Results

Every result for Customer Support VP's Research: Guest Posts queries, ranked by how many times each exact URL appeared (ties broken by average rank position, so appearing higher up wins), a different aggregation than the score-based charts above. Title and URL links open in a new tab.

Phrase Frequency

Title N-Grams

Most common word phrases (2 to 7 words) across every result title for these queries.

2-grams

11guest post
10microsoft copilot
7ai agent
7how to
6write for
5microsoft 365
5365 copilot
5for us
5github copilot
4ai agents
4copilot in
3ai copilot
3for microsoft
3post how
3copilot chat
3using copilot
3microsoft brings
3copilot for
2with semantic
2semantic kernel
2agent for
2copilot agent
2copilot agents
2copilot vs
2how we

3-grams

5microsoft 365 copilot
5write for us
3guest post how
2post how we
2how we simplified
2we simplified sales
2simplified sales case
2sales case entry
2case entry in
2entry in just
2in just 10
2just 10 days
2how to build
2microsoft copilot 2026
2introducing microsoft 365
2365 copilot chat
2ai co pilot
2for microsoft copilot
1getting started with
1started with semantic
1with semantic kernel
1semantic kernel for
1kernel for langchain
1for langchain users
1build your personal

4-grams

2guest post how we
2post how we simplified
2how we simplified sales
2we simplified sales case
2simplified sales case entry
2sales case entry in
2case entry in just
2entry in just 10
2in just 10 days
2introducing microsoft 365 copilot
2microsoft 365 copilot chat
1getting started with semantic
1started with semantic kernel
1with semantic kernel for
1semantic kernel for langchain
1kernel for langchain users
1build your personal ai
1your personal ai copilot
1personal ai copilot by
1ai copilot by tal
1copilot by tal raviv
1come and write for
1and write for practical
1write for practical 365
1for practical 365 practical365

5-grams

2guest post how we simplified
2post how we simplified sales
2how we simplified sales case
2we simplified sales case entry
2simplified sales case entry in
2sales case entry in just
2case entry in just 10
2entry in just 10 days
2introducing microsoft 365 copilot chat
1getting started with semantic kernel
1started with semantic kernel for
1with semantic kernel for langchain
1semantic kernel for langchain users
1build your personal ai copilot
1your personal ai copilot by
1personal ai copilot by tal
1ai copilot by tal raviv
1come and write for practical
1and write for practical 365
1write for practical 365 practical365
1guest post on using flow
1post on using flow to
1on using flow to post
1using flow to post to
1flow to post to microsoft

6-grams

2guest post how we simplified sales
2post how we simplified sales case
2how we simplified sales case entry
2we simplified sales case entry in
2simplified sales case entry in just
2sales case entry in just 10
2case entry in just 10 days
1getting started with semantic kernel for
1started with semantic kernel for langchain
1with semantic kernel for langchain users
1build your personal ai copilot by
1your personal ai copilot by tal
1personal ai copilot by tal raviv
1come and write for practical 365
1and write for practical 365 practical365
1guest post on using flow to
1post on using flow to post
1on using flow to post to
1using flow to post to microsoft
1flow to post to microsoft team
1using autogen in a declarative agent
1autogen in a declarative agent for
1in a declarative agent for microsoft
1a declarative agent for microsoft 365
1declarative agent for microsoft 365 copilot

7-grams

2guest post how we simplified sales case
2post how we simplified sales case entry
2how we simplified sales case entry in
2we simplified sales case entry in just
2simplified sales case entry in just 10
2sales case entry in just 10 days
1getting started with semantic kernel for langchain
1started with semantic kernel for langchain users
1build your personal ai copilot by tal
1your personal ai copilot by tal raviv
1come and write for practical 365 practical365
1guest post on using flow to post
1post on using flow to post to
1on using flow to post to microsoft
1using flow to post to microsoft team
1using autogen in a declarative agent for
1autogen in a declarative agent for microsoft
1in a declarative agent for microsoft 365
1a declarative agent for microsoft 365 copilot
1microsoft copilot agent builder vs studio hands
1copilot agent builder vs studio hands on
1introducing copilot agents what you need to
1copilot agents what you need to know
1ai copilot vs ai agent which fits
1copilot vs ai agent which fits your