NarrashiftShift the Narrative Around Your SaaS product.
Built for SaaS companies

Everything you need to get your SaaS recommended by AI

Narrashift is an AI visibility platform made primarily for SaaS products. It measures how ChatGPT, Gemini and Claude answer your buyers’ software questions, finds where competitors win, tells you what to change — and measures whether it worked.

01 · Measure

See what AI says about your SaaS

Your buyers’ questions are asked to ChatGPT, Gemini and Claude on your schedule. Every answer is stored and analyzed.

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Visibility12%+0 pp
Recommended4%+0 pp
Cited2%+0 pp

AI visibility analytics

Know how often ChatGPT, Gemini and Claude name, recommend and cite your SaaS.

Narrashift asks your buyers' questions to ChatGPT, Gemini and Claude on a schedule and turns every answer into clear KPIs: how often your product is mentioned, how often it is actively recommended, how often your website is cited, and how your share of voice compares with competitors — with the change since last week next to every number.

  • Brand mention, recommendation and citation rates
  • Share of voice on non-branded questions
  • Week-over-week change on every KPI
  • Breakdown per AI provider and over time
Learn more about AI visibility analytics
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  1. 1Competitor A
  2. 2Competitor B
  3. 3Your SaaS
  4. 4Competitor C

Competitor intelligence

See which products AI recommends instead of yours — and for which questions.

Narrashift discovers your competitors from your own website and from the products AI assistants actually name, then tracks each one across every monitored question. A positioning map shows visibility against recommendation rate, and rankings show exactly where competitors win the recommendation you want.

  • Competitors discovered from your website and AI answers
  • Positioning map: visibility vs recommendation rate
  • Who AI recommends for which question
Learn more about Competitor intelligence
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Strength · Onboarding

“…teams get their first workflow live within minutes…”

Sentiment & perception

Understand how AI describes your product, quote by quote.

Being mentioned is only half the story. Narrashift extracts the strengths and weaknesses AI assistants attribute to your product, the sentiment of every description and the exact quote behind each claim, so you can spot outdated or damaging descriptions early and know which positive points to reinforce.

  • Strengths and weaknesses AI attributes to you
  • The exact quote behind each claim
  • Sentiment per answer and provider
Learn more about Sentiment & perception
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FeatureYouCompetitors
Visual automation builder✓3 have it
Signed webhooks with retries✓2 have it
Usage-based pricing—4 have it
SSO / SAML✓1 have it

Feature strength

See how AI talks about each of your product features — against the competitors that have them.

SaaS buyers often ask about a specific capability: SSO, webhooks, automation, usage-based pricing. Feature strength lists the features found on your website, the competitors that offer the same thing, and dedicated buyer questions for each feature, so you can see feature by feature whether AI brings you up.

  • Your product features found on your website
  • Which competitors offer the same feature
  • Questions per feature and your visibility on each
Learn more about Feature strength

02 · Discover

Find where you lose the recommendation

Narrashift analyzes stored results — no extra AI calls — and groups what it finds by product feature or topic.

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P0
Behavior-based automation4 prompts · missing in 6/8 answers

Opportunity finder

Find the prompts where competitors win and your SaaS is missing.

Opportunity finder analyzes your stored monitoring results — without extra AI calls — and finds where you are missing, mentioned but not recommended, outnumbered by a competitor, absent from cited sources or described negatively. Related prompts are grouped by product feature or topic, and every opportunity gets a priority from P0 to P3 with a written explanation and a confidence level.

  • Missing from answers where competitors are recommended
  • Mentioned but not recommended
  • Competitor dominance and negative perception
  • Priorities P0–P3 with a written explanation and confidence
Learn more about Opportunity finder
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review-site.exampleChecking…
comparison-blog.exampleChecking…
forum.examplePotential

Citation gap analysis

Find the sources AI cites for your category — and the ones that leave you out.

AI assistants with web search build their answers from sources: review sites, comparison articles, documentation, community threads. Narrashift shows which sources are cited for your buyers' questions, whether those answers name you or your competitors, and which cited pages verifiably mention competitors but not you.

  • Most cited sources and their category
  • Cited pages checked for your brand and competitors
  • Verified gaps kept apart from potential ones
Learn more about Citation gap analysis
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  • …robots.txt allows GPTBot
  • …robots.txt allows ClaudeBot
  • …Sitemap found (290 URLs)
  • …Content rendered without JavaScript
  • …Meta description on every page

GEO audit

Make sure AI crawlers can read your website and understand what your SaaS does.

The GEO audit checks the technical and content signals that decide whether AI assistants and search engines can read and understand your website: crawler access for GPTBot, ClaudeBot, PerplexityBot and Googlebot, sitemaps, JavaScript rendering, metadata, canonicals, structured data, broken links, and whether your pages explain the topics buyers ask about.

  • AI crawler access in robots.txt (GPTBot, ClaudeBot, PerplexityBot…)
  • JavaScript rendering, metadata, canonicals, structured data
  • Which buyer topics your website explains
Learn more about GEO audit

03 · Act

Know exactly what to change

Every recommendation says what to change, where, why and how to verify it — and is linked to the AI answers behind it.

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Suggested
Create /features/automation page
Add FAQ for pricing prompts
Fix blocked AI crawler
In progress
Implemented

AI action plan

Concrete changes for every opportunity: what, where, why and how to verify it.

Every opportunity comes with actions that say exactly what to change, on which page, why, in which steps and how to verify the result. Start from free rule-based suggestions built from your evidence, generate a richer plan with AI when you need it, and manage everything from suggested to implemented with assignments and filters.

  • Concrete actions per opportunity: page, change, steps
  • Assign, approve and track status
  • Expected benefit stated as a hypothesis, never a guarantee
Learn more about AI action plan
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Before

Automate your email marketing with AI.

After

Content optimizer

Evidence-based page improvements with a clear before and after.

Pick a page of your website or an approved action, and the Content optimizer proposes specific edits — new SEO title, meta description, H1, rewritten or added sections, FAQs, internal links and structured data — each with a before/after comparison and a reason. Claims that cannot be verified are flagged, you accept or reject every change individually, and nothing is ever published automatically.

  • Before/after suggestions for existing pages
  • Drafts for new feature, comparison and FAQ pages
  • Unverifiable claims flagged “Needs verification”
  • Accept or reject each change; nothing is auto-published
Learn more about Content optimizer
Illustration
AllAutomationvs Competitor A
Which email tools trigger automations from website visits?Automation
High
Competitor A alternatives with usage-based pricingvs Competitor A
High
How to migrate from Competitor A without losing datavs Competitor A · Automation
Medium

Blog post ideas

Articles built from the questions your buyers ask AI — prioritized by real gaps.

Every monitored buyer question is a potential article. Blog post ideas turns them into editorial briefs with a format, a suggested structure and the evidence you need, ranks them by where AI answers leave your brand out or never cite your website, and lets you filter by title, product feature and competitor.

  • Articles built from the questions buyers ask AI
  • Filter by title, feature and competitor
Learn more about Blog post ideas
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review-site.exampleResearching public pages…
14× cited
industry-news.exampleResearching public pages…
9× cited
comparison-blog.exampleResearching public pages…
7× cited

Publisher outreach

Know which publishers AI relies on in your category — and who to talk to.

Publishers lists every external website AI assistants cite in answers to your buyers' questions, ranked by how often they appear. Narrashift classifies ownership — your own site, competitor sites or independent publishers — and can research public information about a publisher, such as the editorial contacts and publication options it states on its own pages.

  • Publishers AI cites in your category
  • Contacts and publication information where available
Learn more about Publisher outreach
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r/emailmarketing · 2 h agoWhat do you use instead of Competitor A? Pricing got wild
Suggested reply · neutral

Reddit opportunities

Join the Reddit threads where your buyers ask for software recommendations.

Reddit threads are frequently cited by AI assistants. Narrashift finds the subreddits where your buyers talk, checks them for new posts every 30 minutes, picks the posts worth answering, alerts your team and writes three natural reply suggestions per post in the language of the thread.

  • Threads in your subreddits worth answering
  • Three natural reply suggestions per post
Learn more about Reddit opportunities

04 · Prove

Measure what changed

When an action is implemented, Narrashift keeps asking the same prompts and compares the results.

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Before
12%
After
12%
Recommendation rate +0 pp12 vs 14 answers · increased after implementation

Impact tracker

See what changed in AI answers after you implemented an action.

When you mark an action as implemented, Narrashift records a baseline for its prompts and keeps measuring them. The Impact tracker compares mention, recommendation and citation rates, share of voice, sentiment and cited sources before and after, per provider and with observation counts — and states clearly when there is not enough data or when the AI model changed in between.

  • Before/after mention, recommendation and citation rates
  • Per provider, with observation counts
  • Model changes and missing data shown openly
Learn more about Impact tracker
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DailyEvery 3 daysEvery 7 days
Next runall prompts · ChatGPT, Gemini, Claude
Tomorrow 09:00
Last successful run136 answers collected
Today 09:00

Flexible monitoring

Monitor daily, every 3 days or weekly — on your schedule, with full history.

Choose how often your prompts are asked: daily, every three days or weekly. Brand plans set the frequency for the whole workspace, agencies set it per client project. Every run is stored, schedules are idempotent and never overlap, and the next run time is always visible in your own time zone.

  • Daily, every 3 days or weekly
  • Per-project frequency for agencies
  • Full history to compare any two dates
Learn more about Flexible monitoring

Why SaaS first

Software buyers ask AI for tools, alternatives and comparisons. Prompts, competitor discovery and feature analysis are tuned for that.

Evidence behind every number

Each metric and recommendation links to the AI answers it is based on. Hypotheses are labelled as hypotheses.

API vs consumer apps

Compare responses from official provider APIs with real-user AI prompt responses. Consumer-app answers can vary with account settings, location and model version.

Start with your website URL

Competitors, prompts and the first measurements are set up for you.

Start for free See pricing