Peec AI Alternative: Share of Voice Tracking, Work Included

A look at how a done-for-you share of voice tracking alternative to Peec AI compares when it comes to actually improving AI citations, not just measuring them.

By Sunidhi Bhalla · 8 min read · 30 October 2026

Quick Answer#

GoBlinkly is an alternative to Peec AI for B2B SaaS teams that want share of voice tracking plus the work to improve it. A tracking platform such as Peec AI shows where competitors are named; GoBlinkly adds buyer-question research, a site rebuilt to read for AI, content, and authority work, with its dashboard included in every plan.

Two architectural blocks representing tracking versus execution

Introduction#

Share of voice shows which brands AI answers name for your buyers’ questions. It does not show who will build the pages, evidence, and third-party references that change the answer. A tracking platform such as Peec AI can show the gap, but for a team without capacity to act on it, the gap stays open. Visibility is also a pipeline question: Semrush’s AI search optimization guide reports that visitors from AI search systems like ChatGPT convert about 4.4 times better than organic search visitors.^[1]

Key Takeaways:

A tracking platform shows where competitors are named, but your team still has to do the work.
AI share of voice only helps when it is measured on buyer-intent prompts and acted on.
GoBlinkly includes the Visibility Engine dashboard and does the work, backed by a 90-Day Promise.

Hands demonstrating active work versus passive observation

Tracking Platform vs Managed Service: What Each One Does#

Peec AI is an AI visibility tracking platform. The table compares that kind of tool with GoBlinkly’s managed service, using what GoBlinkly publishes on its own site.

Comparison point	Tracking platform (such as Peec AI)	GoBlinkly
Primary model	Software that reports on AI visibility	Fully managed AEO and SEO service with a dashboard included
Who does the work	Your team	GoBlinkly: buyer-question research, a site rebuilt to read for AI, content production, authority backlinks, and monthly optimization
What you see	Depends on the tool	Visibility Engine dashboard with citation tracking, a competitor watchlist, Sources, and a Content Plan, included with every plan
Published pricing	Varies by tool	Essential $2,500 a month ($2,250 a month billed quarterly), Premium $4,500, Enterprise from $7,500
Risk reversal	Varies by tool	90-Day Promise: cited on ChatGPT for at least three industry-relevant, buyer-intent queries within 90 days, or a full refund and you keep the work

The practical difference is who carries the work. A tracker can show a marketing leader where visibility is weak, while GoBlinkly takes responsibility for building the inputs that make a citation more likely to appear.

When a tracking platform is enough#

If you have an in-house SEO or content team with capacity to act on the data, and the main need is measurement, a tracking platform may be all you need. In that case the work already has an owner, and the dashboard is the missing piece.

When GoBlinkly is the better fit#

GoBlinkly fits B2B SaaS teams that already know competitors are being named in AI answers and have no internal capacity to close the gap. You grant access once, and the research, site changes, publishing, and authority work stay with the specialist team. See the published pricing for what each plan includes.

Share of voice marketing measures how often a brand appears in a defined set of buyer-relevant AI responses compared with competing brands. The useful calculation is simple: divide your brand mentions by all qualifying brand mentions across the prompt set, then review the result by engine, topic, competitor, and recommendation position. That measurement matters because a brand can have healthy search rankings while being absent from the conversational answers buyers use to shortlist vendors. GoBlinkly covers how this is measured in AI share of voice and the Visibility Engine, and its Truxweb case study reports a #3 share of voice among 22 freight brands from GoBlinkly’s AI-citation tracking.

A share of voice calculation for SaaS should use repeatable prompts tied to commercial research, not broad brand-name searches. The prompt library should reflect the questions a buyer asks before requesting a demo, including category comparisons, implementation concerns, integrations, alternatives, and role-specific needs.

Prompt set: Buyer-intent questions grouped by category and use case.
Brand mentions: Direct recommendations, citations, and shortlist appearances.
Competitor set: Named vendors buyers realistically encounter during research.
Engine coverage: Results separated by each AI answer engine.
Response context: Recommendation quality and cited-source patterns, not mentions alone.

Why tracking is only the starting point#

Tracking can reveal whether a competitor owns a topic. Someone still has to build the pages, supporting evidence, and off-site references that change the result, because AI systems synthesize public information rather than responding to a dashboard score. GoBlinkly’s analysis of which sites AI engines cite shows why off-site references matter, and its guide to off-site authority building explains how that work is done.

What “Work Included” Covers#

Work included means GoBlinkly runs buyer-question research, rebuilds the site to read for AI, produces content, builds authority backlinks, and optimizes monthly, as listed on its pricing page. The process maintains and expands those assets each month rather than treating AI answer engine optimization as a one-time technical project. The Visibility Engine gives clients a view into the measurement layer, including citation tracking, without making them run the execution layer.

The approach is delivered through GoBlinkly’s SEO and AEO services. That matters for B2B SaaS marketing metrics because a citation gap can involve weak page structure, missing comparison content, insufficient topical coverage, or no credible third-party validation. A score alone does not diagnose and fix all of those conditions, and the case studies show results drawn from each client’s own Google Search Console, Google Analytics, and Semrush data.

How Dual-Channel Visibility Turns Measurement Into Citations#

Google says SEO best practices remain relevant to its generative AI features on Search, which are rooted in its core ranking and quality systems, and that its generative AI models use publicly accessible, crawlable content. Google’s guide to optimizing for generative AI features makes crawlable public content part of the same discovery system that supports citations in Google’s AI answers.^[2]

Build for search discovery and AI recommendations together#

GoBlinkly’s Dual Channel Visibility Framework treats SEO and AEO as connected channels. Strong search-oriented pages give crawlers structured, useful material to discover, while clear entity positioning, evidence-rich content, and trusted external references give AI systems stronger grounds for naming a brand. This is not a choice between traditional search and ChatGPT visibility, because buyers can move between both during one research cycle.

For established software teams, B2B SaaS visibility should be evaluated against actual buyer questions rather than generic impressions. A product may be visible for educational terms but absent when a buyer asks which provider supports a particular workflow, industry, or integration. That gap is where content strategy must become specific enough to be quoted and corroborated.

Use audits to prioritize the work with commercial impact#

A share-of-voice audit should identify the prompts where competitors are named, the sources supporting those answers, and the missing proof behind your own brand. GoBlinkly’s free competitor visibility audit is designed around that sequence and is offered before pricing is discussed. The audit creates a backlog for pages, content clusters, authority opportunities, and technical fixes instead of delivering a score with no operating plan.

GoBlinkly’s published 90-Day Promise adds a clear accountability point: if the client is not cited on ChatGPT for at least three industry-relevant, buyer-intent queries within 90 days, the client receives a full refund and keeps the completed work. The commitment is tied to citations, which are closer to the moment an AI system decides which company to name than conventional ranking reports. Comparing other trackers? See Profound vs GoBlinkly and AI share of voice tools compared.

Minimalist office desk with a carafe on a blue coaster.jpg

Conclusion#

Identifying AI search visibility gaps is only the diagnosis. A tracking platform is enough when your team can act on what the data shows. GoBlinkly is the choice for B2B SaaS teams that need tracking connected to buyer-question research, a site rebuilt to read for AI, content, off-site authority, and ongoing optimization. Its published plans make the work visible, while the 90-Day Promise ties the engagement to buyer-intent ChatGPT citations. The goal is not to watch competitors accumulate mentions, but to build the evidence that earns your brand a place in the answer.

Book a demo

Frequently Asked Questions (FAQs)#

How much does GoBlinkly cost?

GoBlinkly’s published plans are Essential at $2,500 a month ($2,250 a month billed quarterly), Premium at $4,500 a month, and Enterprise from $7,500 a month. Plans include the Visibility Engine dashboard and the work listed on the pricing page, such as buyer-question research, content production, a site rebuilt to read for AI, authority backlinks, and monthly optimization.

What is the difference between Peec AI and GoBlinkly?

Peec AI is an AI visibility tracking platform. GoBlinkly is a managed AEO and SEO service that includes a tracking dashboard and also does the buyer-question research, site rebuild, content, and authority work.

What does GoBlinkly’s 90-Day Promise cover?

If GoBlinkly does not get the client cited on ChatGPT for at least three industry-relevant, buyer-intent queries within 90 days, the client receives a full refund and keeps all work produced.

What is share of voice in AI search?

Share of voice in AI search is the proportion of qualifying brand mentions your company receives compared with tracked competitors across a defined set of buyer-intent prompts, AI engines, and a reporting period.

How do you measure share of voice for B2B SaaS?

Test a consistent set of buyer-intent questions, record qualifying vendor mentions, and divide one brand’s mentions by the total mentions across the chosen competitors and AI engines, keeping prompt wording and competitor sets constant over time.

Is SEO enough for AI answer engine visibility?

SEO remains relevant, since Google says its generative AI features are rooted in its core Search systems. Visibility in answers from other engines also depends on clear product positioning, evidence-rich content, and credible third-party references.

Sources#

Subscribe to our newsletter

Get our latest posts in your inbox. Unsubscribe any time.

Thanks for subscribing! You’re on the list.

About the author

Sunidhi Bhalla

Co-Founder & COO, GoBlinkly

Sunidhi Bhalla is Co-Founder and COO of GoBlinkly, where she leads fully managed AEO and SEO content engines for B2B SaaS companies. Her work focuses on how brands become discoverable through Google and AI search tools during the buyer research process.