[ RESOURCES | CONNECTOR GUIDE · G2 REVIEWS ]

Extract feature requests and competitor mentions from G2 reviews

To extract feature requests and competitor mentions from G2 reviews, collect your reviews and your competitors’, tag requests and mentions apart, weight by segment and review monthly alongside internal sources. G2 reviews are public, structured and written by people who chose to compare. Your own reviews hold requests in the “what do you dislike” field. Your competitors’ reviews hold the moves and weaknesses your sales team will be asked about next quarter. The method below works with an export and a spreadsheet, and it is the method HyperOrbit’s agents run continuously once the reviews source is connected.

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5 STEPS · 3 PITFALLS · WORKS WITHOUT HYPERORBIT · UPDATED SEPTEMBER 2026
[ 01 | THE METHOD ]

Five steps, by hand, from public software reviews

Do it once by hand before you automate it. You will learn what your customers call things, and you will know what a good automated read looks like.

01

Collect both sides

Gather your reviews and your named competitors’ reviews for a fixed window, with company size, segment and date. The dislikes on their pages are your battlecard material; the dislikes on yours are your roadmap material.

02

Sample and build the taxonomy

Read 50 of each before tagging. Requests hide in “dislikes” and “what problems is it solving”; competitor mentions hide in “alternatives considered” and free text. Freeze a first taxonomy.

03

Tag requests and mentions separately

Requests are jobs the product does not do. Mentions are names, prices or features attributed to another tool, including switches to and from you.

04

Weight by segment, not by stars

A five-star review from a segment you do not sell to matters less than a three-star from your core. Group by segment and count distinct reviewers.

05

Review monthly, alongside internal sources

Reviews lag reality by weeks. Read them monthly with the tickets and calls that show what is happening now, and use them for the pattern, not the alert.

[ 02 | PITFALLS ]

Three ways the manual read goes wrong

Reviews are a biased sample

People review when prompted or provoked. Treat volume with care and read the words.

The competitor’s weaknesses move

A dislike from last year may be fixed. Date every mention and prefer the last quarter.

Requests without accounts cannot be priced

Public reviews rarely name the account. Match reviewer company to your CRM where you can; otherwise weight by segment.

[ 03 | WITH HYPERORBIT ]

The same method, run continuously by three agents

OVER THE G2 REVIEWS CONNECTORConnect the G2 reviews source and Chorus reads your reviews as they land, clusters the requests into themes and sub-themes with the quotes behind each, and matches reviewer companies to accounts where the data allows. Recon reads your competitors’ review pages daily as one of the sources it watches, logs each mention and move, and drafts a battlecard for the moves that matter, held for review. The Signal Desk answers “what do reviewers dislike about competitor X this quarter?” with the reviews cited.

Chorus, the voice-of-customer agent

Clusters reviews, calls, tickets and surveys into ranked themes and sub-themes, each with the quotes behind it and the ARR of the accounts that raised it.

Recon, the competitive intelligence agent

Watches competitor sites, changelogs, pricing pages and reviews every day, scores each move, and drafts a battlecard for the ones that matter, held for review.

Atlas, the account intelligence agent (beta)

Fuses what Chorus and Recon find with usage, support and CRM data into one health score per account, then watches every churn and renewal window you set.

[ 04 | GO DEEPER ]

Related on hyperorbit.ai

INTEGRATIONS76 connectorsEvery source connects once over OAuth and is read continuously. SOLUTIONHyperOrbit for product marketingCompetitor moves and message fit, read from every source. WORKED EXAMPLECause and effectA competitor free tier, 31 more pricing complaints 8 days later, $214K ARR touched. PRICINGStart freeStarter: one feedback source, 50 signals and 10 insights a month.
[ 05 | FAQ ]

Questions people ask

Does HyperOrbit read G2 reviews?

Yes. Reviews are one of the source families among the 76 connectors, and competitor review pages are among the sources Recon watches every day.

Can review data be tied to revenue?

Where a reviewer’s company matches an account in your CRM, yes, and the theme carries that ARR. Where it cannot, Chorus weights by segment and says so.

Can I run the method without a tool?

Yes. Collecting, sampling and tagging a quarter of reviews on both sides is a day’s work and worth doing once by hand. The agents keep it current.

What does it cost to start?

Starter is free: Chorus on one feedback source and Recon on one competitor source. A review source can be either.

Every signal, on one orbit

Connect your first source in an afternoon. The first pass lands before your next standup.

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