Searchable

Overview

Searchable is an AI search visibility and optimization platform. It monitors how a brand, product, or website appears in AI-generated answers, then combines the observations with competitor benchmarking, content recommendations, technical audits, and connected analytics.

The product sits between a focused prompt-monitoring tool and a broader content-operations platform. Its public materials emphasize three linked jobs: measure visibility, diagnose why a brand is or is not appearing, and recommend actions. The current homepage also names Microsoft Copilot alongside ChatGPT, Claude, Perplexity, and Google AI Overviews, while the pricing page keeps Claude, Copilot, Grok, and DeepSeek in the custom/add-on discussion. That inconsistency is itself a purchase question: verify the entitlement and sampling path for each engine in writing.

• Best for: Growth-stage brands, SEO and content teams, ecommerce businesses, and agencies that want a relatively accessible AI-search workflow with optimization guidance.
• Not ideal for: Buyers requiring a fully independent measurement methodology, very large enterprise governance out of the box, or guaranteed placement in AI answers.
• Pricing: Public Professional, Scale, and Custom plans. Professional is listed at $125/month; annual billing is advertised as 20% cheaper.
• Primary strength: It connects visibility tracking to content and technical next steps instead of stopping at a score.
• Primary limitation: Engine add-ons, sampling methodology, and outcome claims require careful verification; much of the strongest public evidence is vendor-provided or early-stage review feedback.

Quick facts

Fact	Details
Primary use case	Track and improve brand visibility, citations, and sentiment in AI search
Category	Analytics / AI-search visibility
Public plans	Professional, Scale, Custom
Public starting price	$125/month for Professional; annual billing is advertised at 20% off
Professional scope	100 prompts across ChatGPT, Google AI Overviews, and Perplexity; 9,000 AI answers/month
Scale scope	500 prompts across the same three named engines; 45,000+ AI answers/month
Custom scope	500+ prompts, custom engine integrations, API access, and SLA options are described publicly
Named engines	ChatGPT, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot appear in current homepage positioning; plan-level coverage still differs
Trial	14-day Pro trial; the homepage says no credit card is required
Audits	200 site audits/month on Professional; 1,000 on Scale; unlimited on Custom according to the public pricing page
Content output	20 articles/month on Professional; 80 on Scale; unlimited on Custom
Integrations	Google Analytics, Google Search Console, HubSpot, Salesforce, and CMS export options are publicly described
Languages	G2 lists English, German, French, Dutch, and Spanish; confirm plan and engine availability by locale
Last reviewed	September 3, 2026

AICiteKit editorial verdict

Searchable is a credible shortlist option for teams that want to move from “are we visible in AI search?” to “what should we investigate next?” The combination of prompt monitoring, competitor comparisons, site audits, content recommendations, and GA4/GSC connections can reduce the hand-off between measurement and execution.

Its accessibility is the main commercial differentiator. The public Professional tier starts below many enterprise-oriented platforms, while the Scale tier adds a meaningful prompt and reporting expansion. However, the advertised coverage is not uniformly included across every engine: ChatGPT, Google AI Overviews, and Perplexity are named in the standard plans, while Claude, Copilot, Grok, and DeepSeek are described as custom integrations or add-ons.

The evidence is stronger for product existence, public pricing, and user-perceived usability than for causal business outcomes. Searchable’s customer stories report visibility and pipeline results, but they are vendor-selected. G2 offers a substantial public review signal, yet the platform is young and the review page’s summaries are generated from user reviews. Buyers should use the free trial to test raw answer captures, prompt repeatability, regional settings, exports, and whether recommendations are actionable for their stack.

Bottom line: Choose Searchable when you need an approachable AI-search analytics layer with built-in optimization guidance and transparent entry pricing. Compare it with Peec AI for a more monitoring-focused growth workflow, Profound for enterprise intelligence, and AirOps when content automation is the primary requirement.

Who should use Searchable?

Best fit

• Growth-stage SaaS and ecommerce brands that need a baseline for AI visibility
• SEO, content, and demand-generation teams sharing responsibility for AI-search discoverability
• Agencies managing multiple domains and client-ready reports
• Teams that want to connect AI visibility observations to GA4 and Google Search Console
• Marketers who need content briefs, site-health checks, or technical recommendations alongside monitoring
• Buyers who value public pricing and a 14-day trial before entering an enterprise procurement process

Not a good fit

• Organizations that require a complete public API, retention, quota, and sampling specification before evaluation
• Teams needing deep log-file analysis rather than answer and site audits
• Buyers who want a guaranteed rank, citation, recommendation, or revenue outcome
• Very large global programs that need mature roles, SSO, audit trails, data residency, and procurement controls without a sales process
• Teams looking only for a traditional content editor or only for schema validation
• Businesses that cannot define a stable prompt set and market scope for measurement

What does Searchable do?

A practical Searchable workflow starts with the buyer questions a team wants to measure. The platform can generate prompts from a domain, organize them into topics, and allow the user to review, edit, archive, or add prompts before tracking begins.

A sensible implementation is:

1. Add the domain or relevant subpath and define the brand’s market, reach, and language.
2. Review suggested competitors and replace high-traffic but irrelevant suggestions with real alternatives.
3. Generate a prompt set covering category, use case, comparison, alternative, branded, and problem-aware questions.
4. Remove vague or duplicate prompts before activating the panel.
5. Capture visibility, share of voice, sentiment, position, citations, sources, and answer context by engine and market.
6. Use the AI agent, content recommendations, and technical audits to form hypotheses about missing or conflicting information.
7. Make one bounded content, technical, or third-party-source change.
8. Re-run the same prompt panel and compare the result with referral, lead, and conversion data separately.

This sequence is an AICiteKit evaluation workflow. It should not be read as proof that every step is automatic or included at the same depth on every plan.

Core features and practical implications

AI visibility and citation monitoring

The public pricing page describes standard-plan tracking across ChatGPT, Google AI Overviews, and Perplexity, while the homepage’s current positioning also names Claude and Microsoft Copilot. Searchable reports brand mentions, citations, visibility, share of voice, sentiment, and competitive position. Treat the homepage list as product positioning, not proof that every named engine is included in every plan.

For a useful audit, preserve the underlying observation:

• Prompt and topic
• Engine and model or surface
• Market, language, and timestamp
• Full answer or an accessible answer excerpt
• Brand mention and wording
• Cited URLs and cited domains
• Competitors shown
• Whether the finding is a direct capture, an inferred score, or an aggregate

A visibility percentage is directional. It is not a universal AI ranking, and it cannot prove that a user saw the answer or became a customer.

Prompt intelligence and topic organization

Searchable’s public materials describe domain-based prompt generation and prompt research. This lowers setup effort, but automatically generated prompts are only useful when they reflect actual buyer language. A team should audit the proposed set for:

• Intent coverage rather than keyword similarity
• Local, regional, and language variants
• Comparison and alternative questions
• Brand and non-brand prompts
• Product, feature, and risk questions
• Duplicate or overly generic wording

The prompt panel is the measurement instrument. If it is too small, too generic, or biased toward branded questions, the resulting score can look precise while representing the wrong market.

Competitor benchmarking

The platform compares a brand with selected competitors and presents visibility, share of voice, sentiment, and position trends. This is useful for identifying which alternatives appear in the same buyer questions and which topics are uncontested.

Competitor selection needs editorial control. Automated suggestions may favor large, high-traffic domains instead of a company’s actual commercial competitors. Benchmarking also describes the sampled prompt universe; it does not establish market-wide leadership.

AI agent and actionable recommendations

Searchable positions an AI agent as a layer that interprets visibility data, site health, and connected analytics. The public homepage describes content briefs, technical fixes, and strategic insights tailored to the brand.

Treat recommendations as hypotheses requiring review. Before publishing generated content or code, check factual accuracy, source quality, accessibility, internal links, schema, legal claims, and brand voice. A recommendation that sounds plausible is not independent evidence that an AI engine will cite the resulting page.

Technical AI-search audits

The public pricing page describes site audits for schema, content structure, and crawlability. This can help a team find pages whose machine-readable signals or information architecture are incomplete.

Technical readiness has a clear boundary: fixing schema or crawlability can make information easier to process, but it does not guarantee retrieval, citation, recommendation, or inclusion in an answer. Validate fixes against server responses, rendered HTML, canonical URLs, robots directives, structured data, and the answer observations that motivated the change.

Content creation and CMS export

Searchable advertises AI-generated articles, landing pages, and product descriptions, plus export to CMS platforms such as Shopify, WordPress, and Webflow through its public product materials and G2 media.

This is an execution convenience, not a quality guarantee. Keep human review in the workflow, and do not allow a one-click export to bypass editorial approval, fact checking, disclosure rules, or deployment controls. Content output should be evaluated by usefulness and evidence, not only by whether it contains terms associated with AI citation.

Analytics and marketing integrations

The homepage names Google Analytics, Google Search Console, HubSpot, and Salesforce integrations. Connecting these systems can help teams compare AI visibility observations with sessions, leads, and pipeline.

The relationship remains correlational unless the measurement design is stronger. Ask which fields are imported, at what frequency, with which attribution window, and whether AI referrals can be separated from direct or dark-social traffic. A connected dashboard does not turn visibility into causal revenue attribution.

Agency and white-label reporting

The Scale and Custom descriptions include white-label reporting, while the public pages describe multiple domains and client-oriented reporting. This is potentially useful for agencies, but buyers should verify project limits, user permissions, report templates, branded exports, data isolation, and API rights.

A client report should show the prompt sample, engine, market, date range, answer/citation evidence, methodology, changes made, and limitations. Do not report a vendor score as a client’s revenue or ranking result.

AI engine, region, and language coverage

Searchable’s pricing page lists ChatGPT, Google AI Overviews, and Perplexity in Pro and Scale, and describes Microsoft Copilot, Claude, Grok, and DeepSeek as custom or enterprise integrations. The homepage currently names ChatGPT, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot without the same plan qualification. The public pages do not provide a complete reproducible matrix of model versions, query scheduling, regional availability, language coverage by plan, or historical retention.

Before purchase, ask for written confirmation of:

• Which engines are directly queried and which are represented through another data source
• Model, endpoint, browser surface, and retrieval context
• Whether Google AI Overviews are sampled by country, language, device, and query type
• Prompt, answer, competitor, domain, and project limits
• Refresh cadence, randomization, and historical retention
• Export, API, webhook, and warehouse fields
• Availability of English, German, French, Dutch, and Spanish workflows by plan
• Whether add-on engines have separate usage charges

Do not treat an engine logo or integration label as proof of equal tracking depth across surfaces.

Plans, pricing, and value

The official pricing page checked September 3, 2026 lists three tiers and says prompts run daily across available AI models. That is a refresh rule for the service, not a promise that every engine is available on every tier:

Plan	Publicly described scope	Visible limits	Public price
Professional	Entry plan for teams serious about AI visibility	100 prompts; 9,000 AI answers/month; unlimited domains; 20 articles/month; 200 audits; exportable reports; multi-country/region tracking	$125/month; annual billing advertised at 20% off
Scale	Higher-volume team and multi-brand workflow	500 prompts; 45,000+ AI answers/month; unlimited domains; 80 articles/month; 1,000 audits; white-label reports; account specialist	$400/month; annual billing advertised at 20% off
Custom	Larger programs and tailored integrations	500+ prompts; unlimited articles and audits; custom engine integrations; white-label reports; API; SLA guarantee	Contact sales

At the monthly list prices, Professional is about $1.25 per tracked prompt slot and Scale is about $0.80 per slot, but that comparison is only illustrative: answer volume, refresh behavior, domains, content output, and engine add-ons also affect value. It should not be treated as a standardized industry cost metric.

The public page says annual billing saves 20%. Buyers should confirm whether the discount applies to all add-ons, whether unused answer capacity rolls over, and what happens to prompt history when moving between tiers. Also confirm whether custom engines, additional seats, implementation, CMS exports, API access, and white-label features are included or separately priced.

Value assessment

• Professional: Reasonable starting point for one team that can work within 100 prompts and the three named standard engines.
• Scale: More suitable for agencies or teams with multiple topic clusters and higher reporting volume; the white-label capability matters more than raw prompt count for client work.
• Custom: Appropriate only after a written specification of engine coverage, quotas, integrations, retention, support, and SLA terms.

The 14-day Pro trial is useful, but a two-week trial is too short to prove durable visibility movement. Use it to verify data capture, prompt quality, exports, and workflow fit—not to promise an outcome from a small early sample.

Strengths

• Public entry pricing is easier to evaluate than quote-only platforms.
• Standard plan descriptions name three important AI-search surfaces.
• Visibility monitoring is paired with competitor analysis, audits, and recommendations.
• GA4 and GSC connections can help teams investigate referral and performance context.
• Multi-domain, white-label, and CMS workflows can fit agency operations.
• The prompt review step gives users a chance to correct generated measurement inputs.
• A 14-day no-credit-card trial lowers the cost of an initial technical evaluation.

Tradeoffs and limitations

• Claude, Copilot, Grok, and DeepSeek coverage is described as custom/add-on rather than uniformly included.
• Public pages do not fully specify sampling methodology, model versions, retention, or API fields.
• AI-generated recommendations and content still require editorial and technical review.
• Early trend lines can be noisy; a short trial cannot establish causal business impact.
• Competitor suggestions may need manual correction.
• Vendor customer stories report outcomes but are not neutral evidence.
• G2 feedback is a broader product signal and does not independently validate every module.
• Visibility, sentiment, citations, crawler access, referrals, leads, and revenue are different evidence types.
• Higher-volume agency and enterprise requirements may still require a sales process.

User reviews and market feedback

Evidence snapshot

Source	Public signal	What it supports	Confidence
Searchable homepage	Current page names ChatGPT, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot; also advertises a 14-day no-card Pro trial and vendor-reported success figures	Product positioning, trial offer, and vendor-selected outcome claims	High for the page text; not independent
Searchable pricing	Lists Pro at $125/month, Scale at $400/month, Custom, visible quotas, 20% annual-billing savings, and daily monitoring across available models	Current public pricing, plan boundaries, and refresh claim	High for the page snapshot; engine entitlement still needs confirmation
G2 Searchable reviews	Live extraction exposed positive usability themes but not a stable rating/count in this check; a July 2026 independent review recorded 4.8/5 from 97 reviews	Directional usability and satisfaction signal	Medium-low; count/rating is time-sensitive and not causal evidence
Prompt Insider hands-on review	Reports a Pro trial with 50 prompts, dashboards, audits, and GA4/GSC connections; discloses affiliate links and untested paid engines	Independent workflow observations and limitations	Medium-low; affiliate disclosure and limited test scope
Searchable vs Profound	Vendor comparison states Searchable starts at $125/month and emphasizes actionable guidance	Positioning and current vendor comparison	Low for comparative superiority
Searchable customers	Vendor-selected success stories report visibility and pipeline outcomes	Examples of claimed implementations	Low for independent efficacy

Recurring positive themes

The directly checked G2 text includes positive themes around framing AI-LLM behavior, clarity, and empowering smaller businesses; one reviewer also says the product is still in its infancy and notes that the team cannot keep up as quickly as it wants. The hands-on Prompt Insider review describes low-friction onboarding, generated prompts that can be reviewed before activation, and a dashboard that makes competitor comparison easy to scan.

These signals support a cautious usability conclusion: Searchable may shorten the path from setup to a first AI-visibility baseline. They do not prove that the platform improves citations, rankings, traffic, leads, or revenue.

Recurring concerns and tradeoffs

The public review evidence identifies smaller but relevant concerns: a learning curve as new features appear, occasional slow loading, limited insights in some areas, inadequate tutorials, and perceived cost. The independent review did not test paid engine add-ons, agency multi-project workflows, or the internal tracking methodology.

Because the product is relatively new, buyers should treat feature velocity as both an advantage and a risk. The current homepage and pricing page also describe engine coverage differently, so confirm that the workflow and reports required for a long-term program are documented rather than only demonstrated in a sales call.

Evidence interpretation

The evidence supports the following:

• Searchable exists and publicly offers a visibility-monitoring and optimization workflow.
• The public Professional and Scale prices and many usage allowances can be checked before a trial.
• Users and one hands-on reviewer report that the interface and recommendations are understandable.
• Searchable can be evaluated through a short trial before purchase.

The evidence does not establish:

• Guaranteed AI citations, recommendations, rankings, or traffic
• Incremental pipeline or revenue caused by Searchable
• Equal accuracy across ChatGPT, Google AI Overviews, Perplexity, and custom engines
• A universal “AI rank” independent of prompt, model, locale, time, and sampling choices
• Independent validation of every audit, content, or agent recommendation

What to verify during a trial or sales process

1. Compare a fixed set of manually checked prompts with Searchable’s captured answers.
2. Confirm the engine, model/surface, country, language, timestamp, and refresh schedule for every result.
3. Export one visibility report and inspect whether raw answer, citation URL, prompt, and methodology are retained.
4. Test one branded, one category, one comparison, and one alternative prompt cluster.
5. Check whether the AI agent distinguishes observed evidence from inferred recommendations.
6. Connect GA4/GSC with a test property or limited permissions and verify imported fields and attribution logic.
7. Ask for add-on prices and limits for Claude, Copilot, Grok, DeepSeek, additional domains, users, and API access.
8. Re-run unchanged prompts after a delay; do not interpret one run as a stable trend.

Compared with alternatives

Searchable vs Profound

Choose Searchable if public entry pricing, guided recommendations, and a shorter path from finding to action matter most. Choose Profound if enterprise-scale AI-search intelligence, competitive research, and broader procurement support are more important. Verify both products’ actual engine, prompt, geography, and retention coverage before comparing headline features.

Searchable vs Peec AI

Choose Searchable if you want a more explicit content and technical optimization layer alongside visibility data. Choose Peec AI if your priority is a focused monitoring and insight workflow with a different balance of prompts, reporting, and pricing. Neither platform’s visibility score should be treated as a causal revenue metric.

Searchable vs Otterly.ai

Choose Searchable if audits, AI-agent recommendations, analytics integrations, and CMS-oriented execution are central. Choose Otterly.ai if you prefer a focused visibility and citation-monitoring workflow. Compare prompt volume and engine coverage by plan rather than comparing only the free-trial language.

Searchable vs AirOps

Choose Searchable if AI-search measurement and optimization are the center of the program. Choose AirOps if content automation, briefs, and scaled publishing are the primary need and AI visibility is an adjacent capability. Searchable’s public comparison is vendor-authored, so validate claims with the same test prompts and output requirements.

Searchable vs Conductor

Choose Searchable if transparent entry pricing and a specialized AI-search workflow are more valuable than a broad enterprise SEO suite. Choose Conductor if AEO needs to sit beside large-scale SEO, website monitoring, reporting governance, and technical operations. A crawler or SEO integration is not the same as answer visibility.

Recommended workflows

Baseline for a growth team

1. Select 60–100 prompts across five or more intent groups, even if the plan allows more.
2. Remove prompts that are purely branded or do not match the market.
3. Record answer text, citations, competitors, sentiment, and the date of the baseline.
4. Identify two recurring gaps: one content gap and one source or accuracy gap.
5. Make one change at a time and re-run the unchanged panel.
6. Report visibility movement separately from organic sessions and conversions.

Agency client report

Use a fixed client methodology: scope, prompts, engines, markets, date range, sample size, answer evidence, cited domains, competitor set, action taken, retest, and confidence. Use white-label output for presentation, but preserve the underlying evidence and the limitations in the deliverable.

Ecommerce product audit

Track category, use-case, comparison, budget, and product-specific prompts. Inspect whether AI returns the correct product attributes, price, availability, retailer, and source. Reconcile findings with product feeds, canonical pages, reviews, and analytics. A product recommendation is not an order attribution.

Content experiment

Use Searchable’s recommendations to write a hypothesis, such as “clarifying the integration comparison on page X may improve source eligibility for prompt cluster Y.” Make the smallest useful content change, retain a control set of prompts, and wait long enough to distinguish ordinary answer variation from a repeatable pattern.

Frequently asked questions

What is Searchable?

Searchable is an AI search visibility and optimization platform. It tracks how brands and content appear in AI-generated answers and adds competitor analysis, audits, recommendations, reporting, and integrations.

How much does Searchable cost?

The public pricing page lists Professional at $125/month and Scale at $400/month. It also lists a Custom plan with quote-based pricing. Annual billing is advertised as 20% cheaper, but buyers should confirm add-on and overage terms.

Which AI engines does Searchable track?

The standard public plans name ChatGPT, Google AI Overviews, and Perplexity. Claude, Microsoft Copilot, Grok, and DeepSeek are described as custom or add-on coverage. Confirm current plan entitlements and regional availability.

Does Searchable guarantee AI citations or rankings?

No. It measures and helps interpret observations in AI answers. No reviewed evidence supports a guarantee of citations, recommendations, rankings, traffic, leads, or revenue.

Is Searchable useful for agencies?

It may be. Scale and Custom materials describe multiple domains and white-label reporting. Agencies should verify project isolation, seats, report customization, API access, quotas, and client-data permissions before committing.

Does a higher visibility score prove better SEO performance?

No. Visibility scores depend on prompts, engines, sampling, timing, language, and calculation rules. Compare them with a documented baseline and separate AI-answer observations from organic rankings, referrals, and conversions.

Can Searchable generate content?

Yes, the public product materials describe AI-generated articles, landing pages, and product descriptions. Generated content still requires human review for accuracy, evidence, accessibility, originality, and brand or legal requirements.

What should I test in the free trial?

Test prompt quality, answer and citation evidence, engine and market settings, export fields, audit usefulness, integration permissions, and whether recommendations can be converted into controlled changes. Do not use a short trial to claim durable revenue impact.

Final verdict

Searchable is a practical bridge between AI-search measurement and optimization work. Its transparent entry pricing, standard coverage of ChatGPT, Google AI Overviews, and Perplexity, plus audits and recommendations, make it easier to trial than many enterprise-first alternatives.

The product is best purchased as an evidence and workflow aid, not as a promise of AI placement. Its value depends on whether the team can create a representative prompt panel, inspect raw observations, distinguish standard engines from add-ons, and connect changes to business data without overstating attribution.

AICiteKit verdict: A good fit for growth teams and agencies that want actionable AI-search analytics at a public price. Proceed with a documented trial, and require written terms for engine coverage, sampling, retention, exports, and enterprise controls before scaling.

Sources and verification notes

Primary sources

• Searchable homepage — product positioning, standard engine claims, trial, integrations, and customer-result claims.
• Searchable pricing — plan prices, quotas, article/audit allowances, annual-billing statement, and engine descriptions.
• Searchable AI visibility tracking guide — vendor explanation of metrics and workflow.
• Searchable vs Profound — vendor-authored positioning; not neutral comparative evidence.
• Searchable vs AirOps — vendor-authored feature comparison; verify independently.

Independent and review-platform sources

• G2 Searchable reviews — 4.8/5 from 98 reviews and review themes checked August 27, 2026; ratings are directional and cover the product broadly.
• Prompt Insider hands-on review — disclosed affiliate relationship; tested a Pro account with 50 prompts, dashboards, audits, and GA4/GSC, but not paid engine add-ons or agency workflows.

Verification boundary

Research checked September 3, 2026. Public pages can change, especially prices, quotas, engine availability, refresh rules, and review counts. Official pages are the strongest evidence for current vendor-stated features and pricing. The current homepage and pricing page differ in how they present engine availability; this profile preserves that discrepancy rather than treating the broader homepage list as plan entitlement. G2 and the hands-on review provide directional usability evidence, not proof of causal SEO, citation, traffic, pipeline, or revenue outcomes. Buyers should preserve the exact prompt, engine, market, answer, citation, timestamp, and change history when evaluating Searchable.