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sample report / Linear vs Jira

AI visibility audit

How Linear actually shows up when buyers ask ChatGPT, Claude, Gemini, and Perplexity for track product issues and ship software faster. Read the gaps, then run the same audit on your own brand.

Prompts run
15
five intent categories
Brand mentioned
73%
11 of 15 prompts
Brand recommended
40%
6 of 15 prompts
Share of voice
35%
vs 3 named competitors
brand visibility
By AI platform

Mention rate = how often Linear appears in the response. Recommendation rate = how often Linear is the answer the agent leads with.

chatgpt
competitor preferred 33%
mentioned80%
recommended47%
claude
competitor preferred 27%
mentioned73%
recommended40%
gemini
competitor preferred 47%
mentioned60%
recommended27%
perplexity
competitor preferred 20%
mentioned87%
recommended53%
share of voice
Brand vs competitors

How prompt responses split between Linear and the named competitor set across all 15 prompts and 4 platforms.

Linear (you)recommended for 6/15
share of voice35%
Jirarecommended for 5/15
share of voice34%
Asanarecommended for 2/15
share of voice19%
GitHub Issuesrecommended for 1/15
share of voice12%
recommendation gaps

Where Linear loses the recommendation

Each gap is a prompt where the agent did not surface Linear as the recommended answer. Severity reflects how close this prompt sits to a real buying decision.

trust audit · trust_pricing_policyblocker

What is Linear's pricing, refund policy, and support SLA?

what agents said

Agents quote per-seat tiers but flag missing refund policy and explicit SLA. Two assistants decline a confident answer and suggest contacting sales.

close the gap

Publish a single canonical pricing + policy page covering refund window, support tiers, and uptime SLA. Add Schema.org Offer + FAQPage.

displacement risk · dis_cheaper_optionweak

Is there a cheaper option than Linear that still handles Jira's core use case?

what agents said

Three of four agents surface lower-cost issue trackers (Plane, Shortcut, GitHub Issues) before defending Linear's value.

close the gap

Add a price-per-outcome comparison page citing throughput / cycle-time data, not just feature checkmarks. Make it indexable.

trust audit · trust_complaintsweak

What are the most common complaints about Linear?

what agents said

Agents pull dated Reddit threads about missing native time-tracking and limited custom workflows. No counter-evidence cited.

close the gap

Publish a changelog highlight page mapping the top three complaints to shipped fixes, dates, and source links.

decision support · dec_implementation_timewatch

How long does it take to fully implement Linear versus Jira?

what agents said

Agents estimate qualitatively ("days" vs "weeks") without citing setup docs. Linear's quickstart is not reliably surfaced.

close the gap

Add a /docs/setup-time anchor with a time-boxed onboarding outline. Cross-link from customers page.

blockers
1
weak
2
watch
1
fixes shipped
0 (sample)
run your own

Audit your brand against your real competitors.

Same 15-prompt matrix. Real agent responses where an LLM key is configured; deterministic synthesis otherwise. Output is a scored audit with prompts, evidence gaps, and the fixes ranked by impact.

run audit →

Sample report. Numbers above are illustrative of a real run on the same 15-prompt matrix — not a live audit. Real audits cite the verbatim response per platform.