elementskit logo

How to use AI for competitive intelligence (10 prompts to try)

ai competitive intelligence .png

For a lot of companies, producing aggressive intelligence is never the difficulty. Advertising and marketing and product groups have already got extra aggressive information than they will realistically use. And with out a correct framework, including AI into the combo dangers worsening that downside by merely producing extra information sooner. 

To see success with AI for aggressive intelligence, you might want to deal with utilizing it to make higher selections, no more selections. 

On this article, I am going to provide you with 10 prompts that will help you use AI successfully to collect, manage, and act in your aggressive intelligence.  

What’s AI-powered aggressive intelligence?

AI-powered competitive intelligence is using AI and automations to gather, manage, and analyze details about your opponents on an ongoing foundation. 

The primary benefit of utilizing AI for aggressive intelligence is that it hastens the gathering and sorting duties. AI helps you make selections primarily based in your aggressive intelligence, nevertheless it doesn’t substitute human judgement. 

For instance, AI can learn a competitor’s 50-page annual report and summarize crucial strategic level inside seconds. Nonetheless, it can not inform you whether or not these factors matter to what you are promoting, nor can it act on that info in your behalf.

How AI transforms aggressive intelligence

There are three fundamental areas the place AI can speed up aggressive intelligence:

Space

What AI does

The way it improves your workflow

Automating information gathering

Screens competitor exercise on a schedule, and summarizes gross sales name transcripts and evaluations as they arrive in

Retains intelligence updated with out guide analysis and frees up time for the duties that requires human judgment

Connecting alerts

Strains up proof throughout sources, corresponding to site visitors and key phrase shifts, hiring exercise, and competitor mentions on calls, then separates details from inferences

Reveals patterns that remoted information factors miss and backs essential conclusions with multiple supporting sign

Making higher selections

Stress-tests the selections you are leaning towards, retains battlecards present, solutions questions out of your information base, and drafts weekly management briefs

Places verified intelligence in entrance of the individuals who want it, from reps on dwell calls to management planning budgets, whereas the choice stays with them

The right way to use AI for aggressive intelligence 

Comply with the steps under to make use of AI to automate and enhance your aggressive intelligence workflows. Whereas the three steps under are designed as a framework to be adopted sequentially, you should utilize any of the AI prompts independently as wanted.

1. Automate information gathering and group

Knowledge gathering is the place AI saves aggressive intelligence groups probably the most time. It permits you to automate aggressive monitoring constantly throughout many sources without delay. This manner, the info your groups use is days previous, moderately than months previous. 

AI additionally permits you to automate the group of the info you collect. This implies uncooked information might be processed and ready to be used at later levels, with out a human having to spend hours organizing every little thing manually. This frees up extra time in your crew to deal with selections that require human judgment. 

Earlier than you begin, I like to recommend importing a enterprise context file to no matter AI instrument you’re utilizing (or to any information base you’re linking to the AI instrument, corresponding to Notion or Confluence). On this file, add details about your positioning, preferrred buyer profile, pricing, goal segments, strategic priorities, and identified opponents. 

This file will act as a reference for the AI, serving to it higher collect and manage information that’s really related to what you are promoting. So, preserve what you are promoting context file updated to reduce the probabilities of the AI instrument hallucinating about your individual model when making ready supplies like battlecards. 

Right here’s an instance of what this file would possibly appear like for a fictional enterprise referred to as Signalwell:

Business context file showing data like company snapshot, ideal customer profile, and pricing.

Listed here are a number of examples of how AI helps with information gathering and group you can adapt to your workflows:

Use scheduled duties to routinely monitor competitor modifications

Use scheduled duties in a instrument like ChatGPT to routinely scan competitor pages for modifications in actual time. For instance, you’ll be able to observe modifications in your opponents’ pricing pages with out having to go to the pages your self each week.

I like to recommend monitoring pricing pages, change logs, homepages, and any key product or function pages which might be more likely to evolve over time. Right here’s a immediate you should utilize to do that:

Changes detected on a competitor's website showing newly implemented pricing and product updates.

(Observe that I used dummy information for the preliminary snapshot, and these aren’t actual modifications on Productboard’s website.)

The immediate is designed to work inside one chat in your most popular AI platform (ChatGPT, Claude, and so forth.), so that you needn’t join it to every other instruments to get the complete profit right here. The chat will retailer the earlier model of the web page to match it towards every time. However you can additionally join this to your individual information base instrument, or just put it aside to mission information throughout the AI instrument itself. 

Summarize gross sales calls and closed-lost notes as they arrive in

Use a every day scheduled process to summarize new gross sales name transcripts and closed-lost notes as they’re added to your information base. This makes these supplies much more actionable and allows you to determine friction factors, competitor mentions, and objections as they come up, with out having to manually learn each name transcript.

Among the most helpful aggressive intelligence comes from your individual gross sales conversations. Prospects typically point out which opponents they’re evaluating, what these opponents have promised, and why they’re hesitating. 

For instance, a prospect could also be selecting your rival on account of an inside safety requirement, a personalised low cost, or an present contract with one other vendor. These are all elements you wouldn’t be capable to determine by simply checking your rival’s webpages. 

Right here’s a immediate you should utilize to automate this type of information gathering and group:

The diploma to which you’ll be able to automate this process depends upon your particular setup. In case you’re utilizing a instrument like Notion as your information base, you’ll be able to arrange brokers to run on a specific schedule. This manner, the agent can test every day or weekly for newly uploaded gross sales name transcripts and summarize them routinely. 

In case you’re utilizing a mission inside an AI instrument like ChatGPT, you schedule duties to do the identical factor, however you’ll have to manually add your transcripts to your mission information and immediate the instrument to test them. 

Alternatively, you could possibly instantly join your name recording instrument to do that routinely. For instance, inside ChatGPT, you’ll be able to join the CallRail plugin to routinely fetch your gross sales name transcripts:

ChatGPT Plugins with "callrail" entered and selected from the list below.

Constantly observe opponents’ search visibility 

AI can pull information in your opponents’ search visibility from exterior instruments, after which manage the data right into a format you’ll be able to simply perceive and act on.

For instance, with Semrush, you’ll be able to see which key phrases your opponents are gaining and the way their adverts are altering. Join it to your AI assistant by the Semrush MCP connection, and the AI can pull that information and summarize what’s modified since its final test.

Modifications in search exercise present the place opponents are investing. For instance, new rankings for key phrases with viewers modifiers, like “for small groups” or “for enterprise” can level to a transfer into a brand new section. And new advert copy can reveal positioning a competitor is testing earlier than it seems on their homepage.

The way you join the Semrush MCP will rely on which AI instrument you’re utilizing, however the course of is usually easy.  To attach the MCP to Claude, click on the “+” icon in any chat. Then click on “Add connector” > “Browse connectors.”

"Browse connectors" clicked from the "Add connector" options on Claude.

Seek for Semrush and click on “Join.” Then observe the on-screen directions to finalize the setup. 

Connectors on Claude with "semrush" entered and "Connect" clicked next to it.

Here is a immediate you should utilize to get a complete overview of competitor exercise utilizing the Semrush MCP:

2. Join the alerts

AI tools may also help you join alerts throughout sources of aggressive intelligence to determine patterns sooner and routinely. 

Alerts arrive in other places, in numerous codecs, and sometimes land with completely different groups. For instance:

  • The gross sales crew would possibly begin listening to a competitor’s title extra typically throughout calls
  • The advertising crew would possibly see new advert copy
  • The product crew would possibly spot a significant changelog replace

These might all level to a brand new rival growing their presence out there. With out somebody organizing all of those alerts, you would possibly miss the sample or spot it too late to be proactive. AI can overview every little thing you’ve gathered throughout all of your sources and group alerts into associated themes. It could actually do that frequently, routinely, and far sooner than any human might.

Listed here are 4 methods you should utilize AI to attach your aggressive intelligence alerts for extra knowledgeable choice making:

Run a weekly test to flag patterns throughout your sources

Arrange a weekly scheduled process that evaluations every little thing logged that week and flags themes supported by a minimum of two sources. This allows you to spot patterns as they come up, with information being at most every week previous.

Right here’s a immediate you should utilize to do that:

Right here’s an instance output for our fictional enterprise, Signalwell:

Claude showing competitive intelligence categorized by theme in the past 7 days for a business.

The AI outlined what the patterns would possibly point out, and the way assured it was primarily based on the variety of sources used to identify the sample. It then offered hypotheses for what else would possibly clarify the sample. All of those insights may very well be helpful for a crew seeking to make selections primarily based on this CI information. 

Construct a timeline of competitor exercise to identify modifications

By analyzing alerts chronologically, you will get an thought of what a competitor is constructing towards and the way far alongside they’re. 

For instance, if a competitor posted mid-market gross sales roles in January, launched a “for rising groups” touchdown web page in March, and added a decrease pricing tier in April, they’re doubtless shifting into the mid-market, and your gross sales crew ought to anticipate to see them in additional of these offers.

Use this immediate to construct a timeline of competitor strikes to identify launches, technique shifts, and new goal markets:

You’ll be able to leverage the AI’s broader capabilities right here to specify the way you need it to current the output. For instance, right here’s the way it can look introduced as a graphic timeline (that you can share together with your crew or stakeholders):

Competitor activity timeline presented as text on the left and graphically on the right.

Examine competitor claims with purchaser suggestions to seek out positioning gaps

Gaps between a competitor’s messaging and their consumers’ experiences can present your model with positioning alternatives. For instance, if a competitor promotes quick setup however evaluations and gross sales calls preserve mentioning painful onboarding, your gross sales crew can emphasize your easy implementation in calls, and advertising could make ease of setup a much bigger a part of your messaging.

Right here’s a immediate you should utilize to seek out positioning gaps out of your aggressive intelligence information:

Spot traits throughout opponents to see which strikes warrant a much bigger response

A constant change throughout a number of opponents requires a special response than an remoted change on one competitor’s website.

For instance, if one competitor cuts costs, your gross sales enablement crew would possibly have to replace the battlecard and provides reps a tailor-made response for that change. But when three opponents lower costs in the identical quarter, that means consumers will begin anticipating decrease costs throughout your class, which makes it a pricing choice for management.

Use this immediate to identify traits throughout a number of sources of aggressive intelligence over an prolonged interval:

I’ve included an instance output under utilizing our dummy information for our fictional enterprise. One factor I like about this strategy is that the AI flags when modifications are unverified or in any other case not essentially dependable. 

For instance, Claude flagged that the Pendo renewal reductions level was reported secondhand by the customer support crew. It then famous that the potential Canny CRM connection was additionally from a secondhand supply, this time from a LinkedIn submit. 

Competitor trends showing the competitors involved, the evidence, and when each move happened.

By flagging these potential confidence points, there’s much less danger of somebody in your crew treating the AI output as reality with out verifying the data manually. That is essential relating to making higher selections primarily based in your AI-powered aggressive intelligence, which I’ll cowl in additional element within the subsequent part.

3. Use AI to make higher selections

Making higher selections is the purpose of aggressive intelligence, and AI helps with this in two methods: 

  • It will get intelligence to the individuals making selections, in a format they’re going to use
  • It challenges your considering earlier than you decide to something

Totally different selections are made at completely different speeds. For instance, a gross sales rep would possibly want a solution within the 5 minutes earlier than a name, whereas management would possibly ask for a abstract of the month’s modifications earlier than a planning assembly. One report cannot serve each in a really helpful method.

Groups additionally are likely to search for proof that helps what they already need to do, and no one is assigned to argue the opposite facet.

AI helps remedy each points, as it will possibly adapt the identical intelligence into the proper format for every position that wants it (e.g., a battlecard for gross sales, a weekly transient for management). And it will possibly act as a sparring associate, testing a choice towards every little thing it is aware of about what you are promoting and your opponents.

Utilizing our Notion database for our fictional enterprise for example, it is easy to ask Claude to generate an up-to-date battle card for our gross sales crew:

A competitor battle card for a brand showing information like a quick summary, where they win, and where they lose.

We are able to simply as simply ask it to generate an government abstract report of the previous month’s most essential findings for our management crew. 

Competitive intelligence summary for the past month showing key findings.

This sort of on-the-fly reformatting and summarization merely wouldn’t be doable at this velocity with out AI. 

Listed here are 4 extra methods to make use of AI to make higher selections primarily based in your aggressive intelligence: 

Stress-test selections earlier than you decide to them

Describe the choice you are leaning towards and your reasoning, and ask the AI to problem it utilizing every little thing it is aware of about what you are promoting and all of the aggressive intelligence you’ve collected.

AI assistants typically agree with no matter you inform them, so use the immediate under to encourage useful pushback:

Under is an instance output for our fictional enterprise. Observe that it attracts upon a number of completely different sources within the desk discussing why it’s not the proper choice. Whereas this is able to have taken a very long time to collect and kind by manually, Claude returned this response in beneath a minute. 

A list of business assumptions along with whether they are supported and the reasoning based on data.

Maintain battlecards up to date so reps at all times have present info

Battlecards can go outdated inside weeks, which may result in reps making errors in gross sales calls or not having the proper response to prospect questions. A every day scheduled process in an AI instrument can replace the battlecard as new intelligence arrives and log each change. 

Although the gross sales rep nonetheless must confirm the info earlier than they use it in a name, that is nonetheless a lot sooner since they may know precisely the place to look to confirm the change. 

Reply questions on-demand earlier than gross sales calls and planning conferences

Arrange a shared mission or workspace the place anybody can ask questions and get solutions drawn out of your aggressive intelligence. That is helpful as a result of individuals on completely different groups have completely different information wants:

  • Gross sales reps have to double test numbers 5 minutes earlier than a name
  • Executives need to perceive broad traits at a look
  • Product groups want deep dives into opponents’ most up-to-date function updates

Having the ability to question your complete financial institution of competitor intelligence at any time makes it straightforward for anybody in your crew to get the intelligence they want, within the format they require. 

Ship management a weekly transient to tell price range and technique selections

Arrange a weekly transient that summarizes what modified in your aggressive panorama, why it issues in your priorities, and what management could need to focus on.

For instance, if two opponents transfer a function like SSO to a less expensive plan inside a number of months and your gross sales crew loses three offers over the identical requirement, the transient places that sample in entrance of management earlier than the following planning assembly, with sources and confidence ranges hooked up.

Right here’s a immediate you should utilize to set this up:

Take this immediate a step additional by connecting your AI instrument to your e mail platform or Slack channel so it will possibly ship the report back to your management routinely. 

Begin utilizing AI to make higher selections

AI instruments can let you collect, manage, and analyze your aggressive intelligence far more effectively. However the high quality of your outputs depends upon the standard of your sources.

Sign up for a Semrush free trial to attach your AI instruments to Semrush information to get up-to-date aggressive intelligence about your rivals’ search efficiency.

Related Post

Leave a Reply

Your email address will not be published. Required fields are marked *